Publications

Year PDF BibTeX Endnote RefMan RefWorks
1. Unsupervised super-resolution reconstruction of hyperspectral histology images for whole-slide imaging
Ma L, Rathgeb A, Mubarak H, Tran M, Fei B. Unsupervised super-resolution reconstruction of hyperspectral histology images for whole-slide imaging. Journal of biomedical optics. 2022 May 1;27(5):056502-. 2022. [PDF] [DOI]		2022PDF
2. A low-cost PVC-based dual-modality kidney phantom
Young J, Shahedi M, Dormer JD, Johnson B, Gahan J, Fei B. A low-cost PVC-based dual-modality kidney phantom. In Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling 2022 Apr 4 (Vol. 12034, pp. 639-647). SPIE. 2022. [PDF] [DOI]		2022PDF
3. Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and deep learning
Zhou X, Ma L, Mubarak HK, Little JV, Chen AY, Myers LL, Sumer BD, Fei B. Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and deep learning. In Medical Imaging 2022: Digital and Computational Pathology 2022 Apr 4 (Vol. 12039, pp. 91-100). SPIE. 2022. [PDF] [DOI]		2022PDF
4. Deep learning-based abdominal muscle segmentation on CT images of surgical patient populations
Chaudhary U, Leitch K, Chhabra A, Kohli A, Fei B. Deep learning-based abdominal muscle segmentation on CT images of surgical patient populations. In Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 Apr 4 (Vol. 12036, pp. 453-459). SPIE. 2022. [PDF] [DOI]		2022PDF
5. Identifying unique acoustic signatures from chemically-crosslinked microbubble clusters using deep learning
Pathour T, Akter N, Dormer JD, Chaudhary S, Fei B, Sirsi S. Identifying unique acoustic signatures from chemically-crosslinked microbubble clusters using deep learning. In Medical Imaging 2022: Ultrasonic Imaging and Tomography 2022 Apr 4 (Vol. 12038, pp. 128-136). SPIE. 2022. [PDF] [DOI]		2022PDF
6. Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points
Shi T, Shahedi M, Caughlin K, Dormer JD, Ma L, Fei B. Semi-automated three-dimensional segmentation for cardiac CT images using deep learning and randomly distributed points. In Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling 2022 Apr 4 (Vol. 12034, pp. 424-430). SPIE. 2022. [PDF] [DOI]		2022PDF
7. An augmented reality-assisted visualization system for potential applications in prostate biopsy
Bettati P, Dormer JD, Shahedi M, Fei B. An augmented reality-assisted visualization system for potential applications in prostate biopsy. In Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling 2022 Apr 4 (Vol. 12034, pp. 577-582). SPIE. 2022. [PDF] [DOI]		2022PDF
8. Thyroid carcinoma detection on whole histologic slides using hyperspectral imaging and deep learning
Tran MH, Ma L, Litter JV, Chen AY, Fei B. Thyroid carcinoma detection on whole histologic slides using hyperspectral imaging and deep learning. In Medical Imaging 2022: Digital and Computational Pathology 2022 Apr 4 (Vol. 12039, pp. 101-111). SPIE. 2022. [PDF] [DOI]		2022PDF
9. Automatic segmentation of uterine cavity and placenta on MR Images using deep learning
Shahedi M, Dormer JD, Do QN, Xi Y, Lewis MA, Herrera CL, Spong CY, Madhuranthakam AJ, Twickler DM, Fei B. Automatic segmentation of uterine cavity and placenta on MR Images using deep learning. In Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 Apr 4 (Vol. 12036, pp. 287-293). SPIE. 2022. [PDF] [DOI]		2022PDF
10. Unsupervised super resolution network for hyperspectral histologic imaging
Ma L, Rathgeb A, Tran M, Fei B. Unsupervised super resolution network for hyperspectral histologic imaging. In Medical Imaging 2022: Digital and Computational Pathology 2022 Apr 4 (Vol. 12039, pp. 149-159). SPIE. 2022. [PDF] [DOI]		2022PDF
11. Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features
Leitch K, Shahedi M, Dormer JD, Do QN, Xi Y, Lewis MA, Herrera CL, Spong CY, Madhuranthakam AJ, Twickler DM, Fei B. Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features. In Medical Imaging 2022: Computer-Aided Diagnosis 2022 Apr 4 (Vol. 12033, pp. 394-399). SPIE. 2022. [PDF] [DOI]		2022PDF
12. Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features
Leitch K, Halicek M, Shahedi M, Little JV, Chen AY, Fei B. Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features. In Medical Imaging 2022: Computer-Aided Diagnosis 2022 Apr 4 (Vol. 12033, pp. 537-544). SPIE. 2022. [PDF] [DOI]		2022PDF
13. Deep learning-based deformable registration of dynamic contrast enhanced MR images of the kidney
Huang J, Guo J, Pedrosa I, Fei B. Deep learning-based deformable registration of dynamic contrast enhanced MR images of the kidney. In Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling 2022 Apr 4 (Vol. 12034, pp. 213-222). SPIE. 2022. [PDF] [DOI]		2022PDF
14. CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum
Dormer JD, Villordon M, Shahedi M, Do QN, Xi Y, Lewis MA, Madhuranthakam AJ, Herrera CL, Spong CY, Twickler DM, Fei B. CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum. In Medical Imaging 2022: Image Processing 2022 Apr 4 (Vol. 12032, pp. 156-164). SPIE. 2022. [PDF] [DOI]		2022PDF
15. Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging
Ma L, Little JV, Chen AY, Myers L, Sumer BD, Fei B. Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging. Journal of Biomedical Optics. 2022 Apr;27(4):046501. 2022. [PDF] [DOI]		2022PDF
16. LED-based hyperspectral endoscopic imaging
Modir N, Shahedi M, Dormer J, Ma L, Ghaderi M, Sirsi S, Cheng YS, Fei B. LED-based hyperspectral endoscopic imaging. In Optical Biopsy XX: Toward Real-Time Spectroscopic Imaging and Diagnosis 2022 Mar 2 (Vol. 11954, pp. 47-58). SPIE. 2022. [PDF] [DOI]		2022PDF
17. Band selection for oxygenation estimation with multispectral/hyperspectral imaging
Ayala L, Isensee F, Wirkert SJ, Vemuri AS, Maier-Hein KH, Fei B, Maier-Hein L. Band selection for oxygenation estimation with multispectral/hyperspectral imaging. Biomedical Optics Express. 2022 Mar 1;13(3):1224-42. 2022. [PDF] [DOI]		2022PDF
18. The Contribution of Thoracic Radiation Dose Volumes to Subsequent Development of Cardiovascular Disease in Cancer Survivors
Reilly CM, Higgins M, Butler J, Esiashvili N, Fei B, Flynn T, Dormer JD, Schreibmann E. The Contribution of Thoracic Radiation Dose Volumes to Subsequent Development of Cardiovascular Disease in Cancer Survivors. Journal of Cardiovascular Nursing. 2022 Mar 24. 2022. [PDF] [DOI]		2022PDF
19. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation-Analysis of Ranking Scores and Benchmarking Results
Mehta R, Filos A, Baid U, Sako C, McKinley R, Rebsamen M, Dätwyler K, Meier R, Radojewski P, Murugesan GK, Nalawade S, Fei B. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation-Analysis of Ranking Scores and Benchmarking Results. Journal of Machine Learning for Biomedical Imaging. 2022;1. 2022. [PDF]		2022PDF
20. The effect of image annotation with minimal manual interaction for semiautomatic prostate segmentation in CT images using fully convolutional neural networks
Shahedi M, Dormer JD, Halicek M, Fei B. The effect of image annotation with minimal manual interaction for semiautomatic prostate segmentation in CT images using fully convolutional neural networks. Medical physics. 2022 Feb;49(2):1153-60. 2022. [PDF]		2022PDF
21. 5 - Simultaneous brain tumor segmentation and molecular profiling using deep learning and T2w magnetic resonance images
Yogananda CGB, Shah BR, Yu FF, Nalawade SS, Holcomb J, Reddy D, Wagner BC, Pinho MC, Mickey B, Patel TR, Fei B, Madhuranthakam AJ, Maldjian JA. 5 - Simultaneous brain tumor segmentation and molecular profiling using deep learning and T2w magnetic resonance images, Brain Tumor MRI Image Segmentation Using Deep Learning Techniques, Academic Press, 2022, Pages 57-79. 2022. [PDF]		2022PDF
22. Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction
Nalawade SS, Fang FY, Yogananda CG, Murugesan GK, Shah BR, Pinho MC, Wagner BC, Xi Y, Mickey B, Patel TR, Fei B. Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction. Journal of Medical Imaging. 2022 Jan;9(1):016001. 2022. [PDF] [DOI]		2022PDF
23. Ct image harmonization for enhancing radiomics studies
Selim M, Zhang J, Fei B, Zhang GQ, Chen J. Ct image harmonization for enhancing radiomics studies. In2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2021 Dec 9 (pp. 1057-1062). IEEE. 2021. [PDF]		2021PDF
24. Cross-Vendor CT Image Data Harmonization Using CVH-CT
Selim M, Zhang J, Fei B, Zhang GQ, Ge GY, Chen J. Cross-Vendor CT Image Data Harmonization Using CVH-CT. arXiv preprint arXiv:2110.09693. 2021 Oct 19. 2021. [PDF]		2021PDF
25. Deep learning-based segmentation of the placenta and uterus on MR images
Shahedi M, Spong CY, Dormer JD, Do QN, Xi Y, Lewis MA, Herrera C, Madhuranthakam AJ, Twickler DM, Fei B. Deep learning-based segmentation of the placenta and uterus on MR images. Journal of Medical Imaging. 2021 Sep;8(5):054001. 2021. [PDF] [DOI]		2021PDF
26. Special Series Guest Editorial: Artificial Intelligence and Machine Learning in Biomedical Optics
Shabestri B, Anastasio MA, Fei B, Leblond F. Special Series Guest Editorial: Artificial Intelligence and Machine Learning in Biomedical Optics. Journal of biomedical optics. 2021 May;26(5). 2021. [PDF] [DOI]		2021PDF
27. MRI-based deep-learning method for determining glioma MGMT promoter methylation status. American Journal of Neuroradiology
Yogananda CG, Shah BR, Nalawade SS, Murugesan GK, Yu FF, Pinho MC, Wagner BC, Mickey B, Patel TR, Fei B, Madhuranthakam AJ. MRI-based deep-learning method for determining glioma MGMT promoter methylation status. American Journal of Neuroradiology. 2021 May 1;42(5):845-52. 2021. [PDF]		2021PDF
28. SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment
Petrick N, Akbar S, Cha KH, Nofech-Mozes S, Sahiner B, Gavrielides MA, Kalpathy-Cramer J, Drukker K, Martel AL, Fei B, BreastPathQ Challenge Group FT. SPIE-AAPM-NCI BreastPathQ Challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment. Journal of Medical Imaging. 2021 May 1;8(3):034501-. 2021. [PDF]		2021PDF
29. Liposome-Imipramine Blue Inhibits Sonic Hedgehog Medulloblastoma In Vivo
MacDonald TJ, Liu J, Yu B, Malhotra A, Munson J, Park JC, Wang K, Fei B, Bellamkonda R, Arbiser J. Liposome-imipramine blue inhibits sonic hedgehog medulloblastoma in vivo. Cancers. 2021 Mar 11;13(6):1220. 2021. [PDF] [DOI]		2021PDF
30. Development of a real-time spectral imaging system using in-site micro-LED-based illumination and high-speed micro-camera for endoscopic applications
Modir N, Shahedi M, Dormer J, Fei B. Development of a real-time spectral imaging system using in-site micro-LED-based illumination and high-speed micro-camera for endoscopic applications. In High-Speed Biomedical Imaging and Spectroscopy VI 2021 Mar 5 (Vol. 11654, p. 1165417). International Society for Optics and Photonics. 2021. [PDF] [DOI]		2021PDF
31. Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning
Zhou X, Ma L, Brown W, Little JV, Chen AY, Myers LL, Sumer BD, Fei B. Automatic detection of head and neck squamous cell carcinoma on pathologic slides using polarized hyperspectral imaging and machine learning. In Medical Imaging 2021: Digital Pathology 2021 Feb 15 (Vol. 11603, p. 116030Q). International Society for Optics and Photonics. 2021. [PDF]		2021PDF
32. GPU-based simulation of echocardiography volumes using quantitative fiber-angle-to-backscatter measurements
Yociss M, Fei B. GPU-based simulation of echocardiography volumes using quantitative fiber-angle-to-backscatter measurements. In Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series 2021 Feb (Vol. 11602, p. 116020U). 2021. [PDF] [DOI]		2021PDF
33. Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS)
Xi Y, Shahedi M, Do QN, Dormer J, Lewis MA, Fei B, Spong CY, Madhuranthakam AJ, Twickler DM. Assessing reproducibility in magnetic resonance (MR) radiomics features between deep-learning segmented and expert manual segmented data and evaluating their diagnostic performance in pregnant women with suspected placenta accreta spectrum (PAS). In Medical Imaging 2021: Computer-Aided Diagnosis 2021 Feb 15 (Vol. 11597, p. 115972P). International Society for Optics and Photonics. 2021. [PDF] [DOI]		2021PDF
34. Automatic segmentation of the prostate on MR images based on anatomy and deep learning
Tao L, Ma L, Xie M, Liu X, Tian Z, Fei B. Automatic segmentation of the prostate on MR images based on anatomy and deep learning. In Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling 2021 Feb 15 (Vol. 11598, p. 115981N). International Society for Optics and Photonics. 2021. [PDF] [DOI]		2021PDF
35. Pixel-level tumor margin assessment of surgical specimen in hyperspectral imaging and deep learning classification
Ma L, Shahedi M, Shi T, Halicek M, Little JV, Chen AY, Myers LL, Sumer BD, Fei B. Pixel-level tumor margin assessment of surgical specimen in hyperspectral imaging and deep learning classification. In Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling 2021 Feb 15 (Vol. 11598, p. 1159811). International Society for Optics and Photonics. 2021. [PDF] [DOI]		2021PDF
36. Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides
Ma L, Zhou X, Little JV, Chen AY, Myers LL, Sumer BD, Fei B. Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides. In Medical Imaging 2021: Digital Pathology 2021 Feb 15 (Vol. 11603, p. 116030P). International Society for Optics and Photonics. 2021. [PDF] [DOI]		2021PDF
37. Computer-aided classification of lung nodules on CT images with expert knowledge
Wan C, Ma L, Liu X, Fei B. Computer-aided classification of lung nodules on CT images with expert knowledge. In Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling 2021 Feb 15 (Vol. 11598, p. 115982K). International Society for Optics and Photonics. 2021. [PDF] [DOI]		2021PDF
38. Multiparametric radiomics for predicting the aggressiveness of papillary thyroid carcinoma using hyperspectral images
Edwards K, Halicek M, Little JV, Chen AY, Fei B. Multiparametric radiomics for predicting the aggressiveness of papillary thyroid carcinoma using hyperspectral images. In Medical Imaging 2021: Computer-Aided Diagnosis 2021 Feb 15 (Vol. 11597, p. 1159728). International Society for Optics and Photonics. 2021. [PDF] [DOI]		2021PDF
39. Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling
Caughlin K, Shahedi M, Shoag JE, Barbieri C, Margolis D, Fei B. Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling. InMedical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling 2021 Feb 15 (Vol. 11598, p. 115980L). International Society for Optics and Photonics. 2021. [PDF] [DOI]		2021PDF
40. Virtual reality assisted cardiac catheterization
Bettati P, Dormer JD, Young J, Shahedi M, Fei B. Virtual reality assisted cardiac catheterization. In Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling 2021 Feb 15 (Vol. 11598, p. 115982D). International Society for Optics and Photonics. 2021. [PDF] [DOI]		2021PDF
41. Comprehensive review of surgical microscopes: technology development and medical applications
Ma L, Fei B. Comprehensive review of surgical microscopes: technology development and medical applications. Journal of biomedical optics. 2021 Jan;26(1):010901. 2021. [PDF] [DOI]		2021PDF
42. Information Extraction Techniques in Hyperspectral Imaging Biomedical Applications
Ortega S, Halicek M, Fabelo H, Quevedo E, Fei B, Callico GM. Information Extraction Techniques in Hyperspectral Imaging Biomedical Applications. InMultimedia Information Retrieval 2020 Oct 10. IntechOpen. 2020. [PDF]		2020PDF
43. A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas
Yogananda CG, Shah BR, Yu FF, Pinho MC, Nalawade SS, Murugesan GK, Wagner BC, Mickey B, Patel TR, Fei BW, Madhuranthakam AJ. A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas. Neuro-oncology advances. 2020 Jan; 2(1):vdaa066.
2020. [PDF] [DOI]		2020PDF
44. A Fully Automated Deep Learning Network for Brain Tumor Segmentation
Yogananda CG, Shah BR, Vejdani-Jahromi M, Nalawade SS, Murugesan GK, Yu FF, Pinho MC, Wagner BC, Emblem KE, Bjørnerud A, Fei BW (Corresponding author). A fully automated deep learning network for brain tumor segmentation. Tomography. 2020 Jun; 6(2):186.
2020. [PDF] [DOI]		2020PDF
45. Graph‐convolutional‐network‐based interactive prostate segmentation in MR images
Tian Z, Li X, Zheng Y, Chen Z, Shi Z, Liu L, Fei B. Graph‐convolutional‐network‐based interactive prostate segmentation in MR images. Medical physics. 2020 Sep;47(9):4164-76. 2020. [PDF] [DOI]		2020PDF
46. Hyperspectral imaging for the detection of glioblastoma tumor cells in H&E slides using convolutional neural networks
Ortega S, Halicek M, Fabelo H, Camacho R, Plaza MD, Godtliebsen F, M Callicó G, Fei BW (Corresponding author). Hyperspectral imaging for the detection of glioblastoma tumor cells in H&E slides using convolutional neural networks. Sensors; 20(7):1911.
2020. [PDF] [DOI]		2020PDF
47. MRI-based deep learning method for determining methylation status of the 06 methylguanne DNA methyltransferase promoter outperforms tissue based methods in brain gliomas
Yogananda CG, Shah BR, Nalawade S, Murugesan GK, Frank FY, Pinho MC, Wagner BC, Mickey B, Patel TR, Fei BW, Madhuranthakam AJ, Maldjian JA. MRI-based deep learning method for determining methylation status of the 06 methylguanne DNA methyltransferase promoter outperforms tissue based methods in brain gliomas. bioRxiv 2020. 2020. [PDF]		2020PDF
48. Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: effect of motion and motion correction
Nalawade S, Fang FY, Yogananda CG, Murugesan GK, Shah BR, Pinho MC, Wagner BC, Mickey B, Patel TR, Fei BW, Madhuranthakam AJ, Maldjian JA. Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: effect of motion and motion correction. bioRxiv 2020.
2020. [PDF]		2020PDF
49. Development of a new polarized hyperspectral imaging microscope
Zhou X, Ma L, Halicek M, Dormer J, Fei BW (Corresponding author). Development of a new polarized hyperspectral imaging microscope. Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2020; 11213(1121308). International Society for Optics and Photonics,
2020. [PDF] [DOI]		2020PDF
50. Development of a polarized hyperspectral microscope for cardiac fiber orientation imaging
Zhou X, Dormer JD, Fei BW. Development of a polarized hyperspectral microscope for cardiac fiber orientation imaging. Diagnostic and Therapeutic Applications of Light in Cardiology 2020; 11215(112150V). International Society for Optics and Photonics,
2020. [PDF] [DOI]		2020PDF
51. Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net
Tran CT, Halicek M, Dormer JD, Tandon A, Hussain T, Fei BW (Corresponding author). Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net. Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging; 11317(113171M). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
52. In vivo cancer detection in animal model using hyperspectral image classification with wavelet feature extraction
Ma L, Halicek M, Fei BW. In vivo cancer detection in animal model using hyperspectral image classification with wavelet feature extraction. Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging; 11317(113171C). International Society for Optics and Photonics,
2020. [PDF] [DOI]		2020PDF
53. Abdominal muscle segmentation from CT using a convolutional neural network
Edwards K, Chhabra A, Dormer J, Jones P, Boutin RD, Lenchik L, Fei BW (Corresponding author). Abdominal muscle segmentation from CT using a convolutional neural network. Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging; 11317(113170L). International Society for Optics and Photonics,
2020. [PDF] [DOI]		2020PDF
54. Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning
Halicek M, Dormer JD, Little JV, Chen AY, Fei BW (Corresponding author). Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning. Biomedical Optics Express; 11(3):1383-400.
2020. [PDF] [DOI]		2020PDF
55. A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases
Ma L, Liu X, Fei BW. A multi-level similarity measure for the retrieval of the common CT imaging signs of lung diseases. Medical & Biological Engineering & Computing; 2020:1-15.
2020. [PDF] [DOI]		2020PDF
56. A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas
Bangalore Yogananda CG, Shah BR, Vejdani-Jahromi M, Nalawade SS, Murugesan GK, Yu FF, Pinho MC, Wagner BC, Mickey B, Patel TR, Fei BW (Corresponding author). A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas. Neuro-oncology; 22(3):402-11. 2020. [PDF] [DOI]		2020PDF
57. Incorporating minimal user input into deep learning based image segmentation
Shahedi M, Halicek M, Dormer JD, Fei BW (Corresponding author). Incorporating minimal user input into deep learning based image segmentation. Medical Imaging 2020: Image Processing; 11313(1131313). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
58. Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images
Mavuduru A, Halicek M, Shahedi M, Little JV, Chen AY, Myers LL, Fei BW (Corresponding author). Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images. Medical Imaging 2020: Digital Pathology; 11320(113200C). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
59. Segmentation of uterus and placenta in MR images using a fully convolutional neural network
Shahedi M, Dormer JD, TT AD, Do QN, Xi Y, Lewis MA, Madhuranthakam AJ, Twickler DM, Fei BW (Corresponding author). Segmentation of uterus and placenta in MR images using a fully convolutional neural network. Medical Imaging 2020: Computer-Aided Diagnosis; 11314(113141R). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
60. A complex dual-modality kidney phantom for renal biopsy studies
Vargas J, Le P, Shahedi M, Gahan J, Johnson B, Dormer JD, Shahub S, Pfefferle M, Judson BO, Alshara Y, Li Q. A complex dual-modality kidney phantom for renal biopsy studies. Medical Imaging 2020: Ultrasonic Imaging and Tomography; 11319(113190J). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
61. Siamese neural networks for the classification of high-dimensional radiomic features
Mahajan A, Dormer J, Li Q, Chen D, Zhang Z, Fei BW (Corresponding author). Siamese neural networks for the classification of high-dimensional radiomic features. Medical Imaging 2020: Computer-Aided Diagnosis; 11314(113143Q). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
62. Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images
Ortega S, Halicek M, Fabelo H, Guerra R, Lopez C, Lejeune M, Godtliebsen F, Callico GM, Fei BW (Corresponding author). Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images. Medical Imaging 2020: Digital Pathology; 11320(113200V). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
63. Augmented reality-assisted biopsy of soft tissue lesions
Bettati P, Chalian M, Huang J, Dormer J, Shahedi M, Fei BW (Corresponding author). Augmented reality-assisted biopsy of soft tissue lesions. Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling; 11315(113150W). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
64. Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology
Halicek M, Ortega S, Fabelo H, Lopez C, Lejeune M, Callico GM, Fei BW (Corresponding author). Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology. Medical Imaging 2020: Digital Pathology; 11320(113200U). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
65. Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning
Ma L, Halicek M, Zhou X, Dormer J, Fei BW (Corresponding author). Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning. Medical Imaging 2020: Digital Pathology; 11320(113200W). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
66. Image guided mitral valve replacement: registration of 3D ultrasound and 2D x-ray images
Dormer J, Bhuiyan M, Rahman N, Deaton N, Sheng J, Padala M, Desai J, Fei BW (Corresponding author). Image guided mitral valve replacement: registration of 3D ultrasound and 2D x-ray images. Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling; 11315(113150Z). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
67. Renal biopsy under augmented reality guidance
Pfefferle M, Shahub S, Shahedi M, Gahan J, Johnson B, Le P, Vargas J, Judson B, Alshara Y, Fei BW (Corresponding author). Renal biopsy under augmented reality guidance. Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling; 11315(113152W). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
68. Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor resection
Huang J, Halicek M, Shahedi M, Fei BW (Corresponding author). Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor resection. Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling; 11315(113150U). International Society for Optics and Photonics, 2020. [PDF] [DOI]		2020PDF
69. STAN-CT: Standardizing CT Image using Generative Adversarial Network
Selim M, Zhang J, Fei BW, Zhang GQ, Chen J. STAN-CT: Standardizing CT Image using Generative Adversarial Network. arXiv preprint; arXiv: 2004.01307. 2020. [PDF]		2020PDF
70. Sequential vessel segmentation via deep channel attention network
Hao D, Ding S, Qiu L, Lv Y, Fei BW, Zhu Y, Qin B. Sequential vessel segmentation via deep channel attention network. Neural Networks. 2020. [PDF] [DOI]		2020PDF
71. Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review
Ortega S, Halicek M, Fabelo H, Callico GM, Fei BW (Corresponding author). Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review. Biomedical Optics Express; 11(6): 3195-3233. 2020. [PDF] [DOI]		2020PDF
72. 228: Automated segmentation of the human placenta and uterus with MR imaging using artificial intelligence (AI)
Twickler DM, Do QN, Yin Xi, Shahedi M, Dormer J, Devi TT A, Lewis MA, Spong CY, Dashe JS, Madhuranthakam A, Fei BW (Corresponding author). 228: Automated segmentation of the human placenta and uterus with MR imaging using artificial intelligence (AI). American Journal of Obstetrics & Gynecology; 222(1): S158-S159. 2020. [PDF]		2020PDF
73. Hyperspectral imaging in medical applications
Fei BW. Hyperspectral imaging in medical applications. Data Handling in Science and Technology; 32: 523-565. Elsevier, 2020. 		2020
74. 18F-Fluciclovine parameters on targeted prostate biopsy associated with true positivity in recurrent prostate cancer
Abiodun-Ojo OA, Akintayo AA, Akin-Akintayo O, Tade FI, Nieh PT, Master VA, Alemozaffar M, Osunkoya AO, Goodman MM, Fei BW (Corresponding author). 18F-Fluciclovine parameters on targeted prostate biopsy associated with true positivity in recurrent prostate cancer. Journal of Nuclear Medicine; 60(11): 1531-1536. 2019. [DOI]		2019
75. Accurate vessel extraction via tensor completion of background layer in X-ray coronary angiograms
Qin BJ, Jin MX, Hao DD, Lv Y, Liu QG, Zhu YQ, Ding S, Zhao J, Fei BW (Corresponding author). Accurate vessel extraction via tensor completion of background layer in X-ray coronary angiograms. Pattern Recognition;87:38-54. 2019. [PDF] [DOI]		2019PDF
76. Adaptive deep learning for head and neck cancer detection using hyperspectral imaging
Ma L, Lu G, Wang D, Qin X, Chen ZG, Fei BW (Corresponding author). Adaptive deep learning for head and neck cancer detection using hyperspectral imaging. Visual Computing for Industry, Biomedicine, and Art; 2(1): 1-12. 2019. [PDF] [DOI]		2019PDF
77. A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling
Shahedi M, Halicek M, Li QM, Lizhi L, Zhang ZF, Verma S, Schuster DM, Fei BW (Corresponding author). A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling. Proceedings of SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 2019. [PDF] [DOI]		2019PDF
78. Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth
Halicek M, Himar F, Ortega S, Little JV, Wang X, Chen AY, Callicó GM, Myers LL, Sumer BD, Fei BW (Corresponding author). Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth. Proceedings of SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 2019. [PDF] [DOI]		2019PDF
79. Classification of brain tumor IDH status using MRI and deep learning
Nalawade SS, Muregesan GK, Vejdani-Jahromi M, Fisicaro RA, Yogananda CGB, Wagner B, Mickey B, Maher E, Pinho MC, Fei BW. Classification of Brain Tumor IDH Status using MRI and Deep Learning. bioRxiv (2019):757344. 2019. [PDF]		2019PDF
80. Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning
Nalawade S, Murugesan GK, Vejdani-Jahromi M, Fisicaro RA, Yogananda GCB, Wagner B, Mickey B, Maher E, Pinho MC, Fei BW, Madhuranthakam AJ, Maldjian JA. Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning. Journal of Medical Imaging; 6(4): 046003. 2019. [PDF] [DOI]		2019PDF
81. Deep 3D convolutional neural networks for fast super-resolution ultrasound imaging
Brown K, Dormer JD, Fei BW, Hoyt K, Ruiter NV, Byram BC. Deep 3D convolutional neural networks for fast super-resolution ultrasound imaging. Proceedings of SPIE Medical Imaging 2019: Ultrasonic Imaging and Tomography. 2019. [PDF] [DOI]		2019PDF
82. Deep learning-based framework for in-vivo identification of glioblastoma tumor using hyperspectral images of human brain
Fabelo H, Halicek M, Ortega S, Shahedi M, Szolna A, Pineiro JF, Sosa C, O'Shanahan AJ, Bisshopp S, Espino C, Marquez M, Hernandez M, Carrera D, Morera J, Callicó GM, Sarmiento R, Fei BW (Corresponding author). Deep learning-based framework for in-vivo identification of glioblastoma tumor using hyperspectral images of human brain. Sensors;19(4). 2019. [PDF] [DOI]		2019PDF
83. Deep learning-based three-dimensional segmentation of the prostate on computed tomography images
Shahedi M, Halicek M, Dormer JD, Schuster DM, Fei BW (Corresponding author). Deep learning-based three-dimensional segmentation of the prostate on computed tomography images. Journal of Medical Imaging;6(2):025003. 2019. [PDF] [DOI]		2019PDF
84. Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolution neural networks
Halicek M, Shahedi M, Little JV, Chen AY, Myers LL, Sumer BD, Fei BW, Tomaszewski JE, Ward AD. Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolution neural networks. Proceedings of SPIE Medical Imaging 2019: Digital Pathology. 2019. [PDF] [DOI]		2019PDF
85. Feasibility and initial results: Fluciclovine PET/Ultrasound fusion targeted biopsy of recurrent prostate cancer
Fei BW, Abiodun-Ojo OA, Akintayo AA, Akin-Akintayo O, Tade F, Nieh PT, Master VA, Alemozaffar M, Osunkoya AO, Goodman MM. Feasibility and initial results: Fluciclovine PET/Ultrasound fusion targeted biopsy of recurrent prostate cancer. The Journal of Urology;202(2):413-421. 2019. [PDF]		2019PDF
86. Fully automated brain tumor segmentation and survival prediction of gliomas using deep learning and MRI
Yogananda CGB, Nalawade SS, Murugesan GK, Wagner B, Pinho MC, Fei BW, Madhuranthakam AJ, Maldjian JA. Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas using Deep Learning and MRI. bioRxiv (2019):760157. 2019. [PDF]		2019PDF
87. Histopathology feature mining and association with hyperspectral imaging for the detection of squamous neoplasia
Lu G, Wang D, Qin X, Muller S, Little JV, Wang X, Chen AY, Chen G, Fei BW (Corresponding author). Histopathology feature mining and association with hyperspectral imaging for the detection of squamous neoplasia. Scientific reports; 9(1): 1-13. 2019. [PDF] [DOI]		2019PDF
88. Hyperspectral imaging for cancer detection and image-guided surgery
Fei BW. Hyperspectral imaging for cancer detection and image-guided surgery. SPIE Photonics West - Design and Quality for Biomedical Technologies XII. 2019. 		2019
89. Hyperspectral imaging for head and neck cancer detection: specular glare and variance of the tumor margin in surgical specimens
Halicek M, Fabelo H, Ortega S, Little JV, Wang X, Chen AY, Callico GM, Myers L, Sumer BD, Fei BW (Corresponding author). Hyperspectral imaging for head and neck cancer detection: specular glare and variance of the tumor margin in surgical specimens. Journal of Medical Imaging;6(3):035004. 2019. [PDF] [DOI]		2019PDF
90. Hyperspectral imaging of head and neck squamous cell carcinoma for cancer margin detection in surgical specimens from 102 patients using deep learning
Halicek M, Dormer J, Little JV, Chen AY, Myers L, Sumer BD, Fei BW (Corresponding author). Hyperspectral Imaging of Head and Neck Squamous Cell Carcinoma for Cancer Margin Detection in Surgical Specimens from 102 Patients Using Deep Learning. Cancers (2019);11(9):1367. 2019. [PDF] [DOI]		2019PDF
91. In-vivo and ex-vivo tissue analysis through hyperspectral imaging techniques: Revealing the invisible featuers of cancer
Halicek M, Fabelo H, Ortega S, Callicó GM, Fei BW (Corresponding author). In-vivo and ex-vivo tissue analysis through hyperspectral imaging techniques: Revealing the invisible featuers of cancer. Cancers;11(6). 2019. [PDF] [DOI]		2019PDF
92. Label-free, noncontact hyperspectral imaging for classification of histologic grade in gross specimens of squamous cell carcinoma using deep learning
Halicek M, Dormer J, Pham M, Little JV, Chen AY, Myers L, Sumer BD, Fei BW (Corresponding author). Label-Free, Noncontact Hyperspectral Imaging for Classification of Histologic Grade in Gross Specimens of Squamous Cell Carcinoma Using Deep Learning. Medical Physics;46(6):E462-E463. 2019. 		2019
93. Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling
Fei BW. Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling. Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series 2019;10951. 2019. 		2019
94. Optical biopsy of head and neck cancer using hyperspectral imaging and convolution neural networks
Halicek M, Little JV, Wang X, Chen AY, Fei BW (Corresponding author). Optical biopsy of head and neck cancer using hyperspectral imaging and convolution neural networks. Journal of Biomedical Optics;24(3):1-9. 2019. [PDF] [DOI]		2019PDF
95. Phase asymmetry ultrasound despeckling with fractional anisotropic diffusion and total variation
Mei K, Hu B, Fei BW, Qin B. Phase asymmetry ultrasound despeckling with fractional anisotropic diffusion and total variation. IEEE Transactions on Image Processing (2019); 29: 2845-2859. 2019. [PDF] [DOI]		2019PDF
96. Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women
Li QM, Dormer JD, Daryani P, Chen D, Zhang ZF, Fei BW, Hahn HK, Mori K. Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women. Proceedings of SPIE Medical Imaging 2019: Computer-Aided Diagnosis. 2019. [PDF] [DOI]		2019PDF
97. Surgical aid visualization system for glioblastoma tumor identification based on deep learning and in-vivo hyperspectral images of human patients
Fei BW, Callicó GM, Morera J, Szolna A, Sarmiento R, Ortega S, Halicek M, Himar F. Surgical aid visualization system for glioblastoma tumor identification based on deep learning and in-vivo hyperspectral images of human patients. Proceedings of SPIE 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 2019. [PDF] [DOI]		2019PDF
98. Task-specific multispectral band selection
Wirkert SJ, Isensee F, Vemuri AS, Ayala, LA, Maier-Hein KH, Fei BW, Maier-Hein L. Task-specific multispectral band selection. arXiv: 1905.11297;1. 2019. [PDF]		2019PDF
99. A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics
Shahedi M, Ma L, Halicek M, Guo R, Zhang G, Schuster DM, Nieh P, Master VA, Fei BW (Corresponding author). A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics. Proceedings of SPIE: The Internation Society for Optical Engineering;10576. 2018. [PDF] [DOI]		2018PDF
100. A semiautomatic prostate segmentation in CT images using a deep learning approach
Shahedi M, Halicek M, Guo R, Zhang G, Schuster DM, Fei BW (Corresponding author). A semiautomatic prostate segmentation in CT images using a deep learning approach. The Annual Meeting of the Biomedical Engineering Society. 2018. 		2018
101. A semiautomatic segmentation method for the prostate in magnetic resonance images using local texture classification and statistical shape modeling
Shahedi M, Halicek M, Liu L, Zhang Z, Schuster DM, Fei BW (Corresponding author). A semiautomatic segmentation method for the prostate in magnetic resonance images using local texture classification and statistical shape modeling. The Annual Meeting of the Biomedical Engineering Society. 2018. [PDF] [DOI]		2018PDF
102. A semiautomatic segmentation method for the prostate in magnetic resonance images using local texture classification and statistical shape modeling
Shahedi M, Halicek M, Liu L, Zhang Z, Schuster DM, Fei BW (Corresponding author). A semiautomatic segmentation method for the prostate in magnetic resonance images using local texture classification and statistical shape modeling. Medical Physics;45(6):2527-2541. 2018. [PDF] [DOI]		2018PDF
103. Automated detection of squamous cell carcinoma from head and neck cancer patients in digitized whole-slide histological images using deep learning
Halicek M, Shahedi M, Wang X, Little JV, Patel M, Griffith CC, El-Diery MW, Chen AY, Fei BW (Corresponding author). Automated detection of squamous cell carcinoma from head and neck cancer patients in digitized whole-slide histological images using deep learning. The Annual Meeting of the Biomedical Engineering Society. 2018. 		2018
104. Cardiac Fiber Imaging with 3D Ultrasound and MR Diffusion Tensor Imaging
Qin X, Fei BW. "Cardiac Fiber Imaging with 3D Ultrasound and MR Diffusion Tensor Imaging." In Cardiovascular Imaging: An Engineering and Clinical Perspective, edited by Ayman El-Baz. Boca Raton, FL: CRC Press, Taylor & Francis Group, 2018. 		2018
105. Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches
Dormer JD, Halicek M, Ma L, Reilly CM, Schreibmann E, Fei BW (Corresponding author). Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches. Proceedings of SPIE: The International Society for Optical Engineering;10575. 2018. [PDF] [DOI]		2018PDF
106. Deep convolutional neural network for prostate MR segmentation
Tian Z, Liu L, Fei BW. Deep convolutional neural network for prostate MR segmentation. International Journal of Computer Assisted Radiology and Surgery;13(11):1687. 2018. [PDF]		2018PDF
107. Deformable registration of histological cancer margins to gross hyperspectral images using demons
Halicek M, Little JV, Wang X, Chen ZG, Patel M, Griffith CC, El-Diery MW, Sava NF, Chen AY, Fei BW (Corresponding author). Deformable registration of histological cancer margins to gross hyperspectral images using demons. Proceedings of SPIE: The International Society for Optical Engineering;10581. 2018. [PDF] [DOI]		2018PDF
108. Detection and delineation of squamous neoplasia with hyperspectral imaging in a mouse model of tongue carcinogenesis
Lu G, Wang DS, Qin X, Muller S, Wang X, Chen AY, Chen ZG, Fei BW (Corresponding author). Detection and delineation of squamous neoplasia with hyperspectral imaging in a mouse model of tongue carcinogenesis. Journal of Biophotonics;11(3):e201700078. 2018. [PDF] [DOI]		2018PDF
109. Domain and task specific multispectral band selection (conference presentation)
Wirkert SJ, Isensee F, Vemuri AS, Maier-Hein K, Fei BW, Maier-Hein L. Domain and task specific multrispectral band selection (conference presentation). SPIE Photonic Weset - Design and Quality for Biomedical Technologies XII;10486:104860H. 2018. 		2018
110. Heart chamber segmentation from CT using convolutional neural networks
Dormer JD, Ma L, Halicek M, Reilly CM, Schreibmann E, Fei BW (Corresponding author). Heart chamber segmentation from CT using convolutional neural networks. Proceedings of SPIE: The International Society for Optical Engineering;10578. 2018. [PDF] [DOI]		2018PDF
111. Hyperspectral Imaging in Medical Applications
Fei BW. "Hyperspectral Imaging in Medical Applications." In Hyperspectral Imaging (Data Handling in Science and Technology), edited by José Manuel Amigo. New Cambridge, MA: Elsevier, 2018. 		2018
112. Imaging technologies for cardiac fiber and heart failure: A review
Watson SR, Dormer JD, Fei BW. Imaging technologies for cardiac fiber and heart failure: A review. Heart failure reviews;23(2):273-289. 2018. [PDF] [DOI]		2018PDF
113. Multimodality Imaging (MRI, PET, and Ultrasound) and Fusion Targeted Biopsy of the Prostate
Fei BW. "Multimodality Imaging (MRI, PET, and Ultrasound) and Fusion Targeted Biopsy of the Prostate." In Encyclopedia of Medical Robotics: Image-guided Surgical Procedures and Interventions, edited by Jaydev P. Desai. Hackensack, NJ: World Scientific Publishing Co., 2018. 		2018
114. Optical biopsy of head and neck cancer using hyperspectral imaging and convolution neural networks
Halicek M, Little JV, Wang X, Patel M, Griffith CC, El-Diery MW, Chen AY, Fei BW (Corresponding author). Optical biopsy of head and neck cancer using hyperspectral imaging and convolution neural networks. Proceedings of SPIE: The Internation Society for Optical Engineering;10469. 2018. [PDF] [DOI]		2018PDF
115. Phase asymmetry guided adaptive fractional-order total variation and diffusion for feature-preserving ultrasound despeckling
Mei KQ, Hu B, Fei BW, Qin BJ. Phase asymmetry guided adaptive fractional-order total variation and diffusion for feature-preserving ultrasound despeckling. arXiv:1810.12538. 2018. [PDF]		2018PDF
116. Precision Imaging of Prostate Cancer: Technology and Applications
Fei BW. "Precision Imaging of Prostate Cancer: Technology and Applications." In Abdomen and Thoracic Imaging: An Engineering & Clinical Perspective, edited by Ayman S. El-Baz, Luca Saba, Jasjit Suri. New York, NY: Springer, 2018. 		2018
117. Progression of medial arterial calcification in CKD
Manzoor S, Ahmed S, Ali A, Han KH, Sechopoulos I, O'Neill A, Fei BW, O'Neill WC. Progression of medial arterial calcification in CKD. Kidney International Reports;3(6):1328-1335. 2018. [PDF] [DOI]		2018PDF
118. Prospective evaluation of fluciclovine (18F) PET-CT and MRI in detection of recurrent prostate cancer in non-prostatectomy patients
Akin-Akintayo O, Tade, F, Mittal P, Moreno C, Nieh PT, Rossi P, Patil D, Halkar R, Fei BW, Master VA, Jani AB, Kitajima H, Osunkoya AO, Ormenisan-Gherasim C, Goodman MM, Schuster, DM. Prospective evaluation of fluciclovine (18F) PET-CT and MRI in detection of recurrent prostate cancer in non-prostatectomy patients. European Journal of Radiology;102:1-8. 2018. [PDF] [DOI]		2018PDF
119. PSNet: prostate segmentation on MRI based on a convolutional neural network
Tian Z, Liu L, Zhang Z, Fei BW (Corresponding author). PSNet: prostate segmentation on MRI based on a convolutional neural network. Journal of Medical Imaging;5(2):021208. 2018. [PDF] [DOI]		2018PDF
120. Selective modification of fluciclovine (18F) transport in prostate carcinoma xenografts
Tade FI, Wiles WG, Lu G, Bilir B, Akin-Akintayo O, Lee JS, Patil D, Yu W, Gherasim CO, Fei BW (Corresponding author). Selective modification of fluciclovine (18F) transport in prostate carcinoma xenografts. Amino acids;50(9):1301-1305. 2018. [PDF]		2018PDF
121. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling (Proceedings of SPIE)
Fei BW, Webster RJ. "SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling (Proceedings of SPIE). SPIE Press, 2018. 		2018
122. The role of fluciclovine (18F) PET/CT directed, 3D ultrasound-guided fusion targeted biopsy in the detection of biochemically recurrent prostate cancer
Abiodun-Ojo OA, Fei BW Nieh PT, Master VA, Akintayo A, Tade F, Akin-Akintayo O, Alemozaffar M, Osunkoya AO, Goodman MM, Schuster DM. The role of fluciclovine (18F) PET/CT directed, 3D ultrasound-guided fusion targeted biopsy in the detection of biochemically recurrent prostate cancer. Journal of Nuclear Medicine;59(s1):1481. 2018. 		2018
123. Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks
Halicek M, Little JV, Wang X, Patel M, Griffith CC, Chen AY, Fei BW (Corresponding author). Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks. Proceedings of SPIE: The International Society for Optical Engineering;10576. 2018. [PDF] [DOI]		2018PDF
124. Ultrasound imaging technologies for breast cancer detection and management: A review
Guo R, Lu G, Qin B, Fei BW. Ultrasound imaging technologies for breast cancer detection and management: A review. Ultrasound in Medicine and Biology;44(1):37-70. 2018. [PDF] [DOI]		2018PDF
125. Ultrasound segmentation of rat hearts using convolutional neural networks
Dormer JD, Guo R, Shen M, Jiang R, Wagner MB, Fei BW (Corresponding author). Ultrasound segmentation of rat hearts using convolutional neural networks. Proceedings of SPIE: The International Society for Optical Engineering;10580. 2018. [PDF] [DOI]		2018PDF
126. Using convolutional neural networks to identify patients at risk for cardiovascular disease using 3D patches radiomic analysis for cardiovascular disease prediciton using wavelet features
Dormer J, Reilly CM, Schreibmann E, Fei BW (Corresponding author). Using convolutional neural networks to identify patients at risk for cardiovascular disease using 3D patches radiomic analysis for cardiovascular disease prediciton using wavelet features. The Annual Meeting of the Biomedical Engineering Society. 2018. 		2018
127. A Combined Learning Algorithm for Prostate Segmentation on 3D CT Images
Ma L, Guo R, Zhang G, Schuster, DM, Fei BW (Corresponding author). “A Combined Learning Algorithm for Prostate Segmentation on 3D CT Images," Medical Physics; 44(11): 5768-5781. 2017. [PDF] [DOI]		2017PDF
128. A Monte Carlo model for mean glandular dose evaluation in spot compression mammography
Sarno, A., Dance, DR., van Engen, RE., Young, KC., Russo, P., Di Lillo, F., Mettivier, G., Bliznakova, K., Fei, BW., Sechopoulos, I.(2017). “A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.”Medical Physics 44(7): 3848-3860. 2017. [PDF] [DOI]		2017PDF
129. A new method to quantify fiber orientation similarity in registered volumes
Dormer JD, Jiang R, Wagner MB, Fei BW, A new method to quantify fiber orientation similarity in registered volumes “, Proc. SPIE 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, 101361I, March 10, 2017, Orlando, FL. 2017. [PDF] [DOI]		2017PDF
130. A random walk‐based segmentation framework for 3D ultrasound images of the prostate
Ma L, Guo R, Zhang G, Fei BW (Corresponding author). “A random walk‐based segmentation framework for 3D ultrasound images of the prostate," Medical Physics, 2017 Jun 5. PubMed PMID:28582803. 2017. [PDF]		2017PDF
131. A supervoxel-based segmentation method for prostate MR images
Tian, ZQ., Liu, LZ., Zhang, ZF., Xue, JR., Fei, BW.(2017). “A supervoxel-based segmentation method for prostate MR images.”Medical Physics 44(2): 558-569. 2017. [PDF] [DOI]		2017PDF
132. Automatic segmentation of the prostate on CT images using deep learning and multi-atlas fusion
Ma L, Guo R, Zhang G, Tade F, Schuster DM, Fei BW, Automatic segmentation of the prostate on CT images using deep learning and multi-atlas fusion, Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 101332O, February 24, 2017, Orlando, FL. 2017. [PDF] [DOI]		2017PDF
133. Comparison of Fluciclovine (18F) PET-CT and MRI in Detection of Recurrent Prostate Cancer
Akin-Akintayo O, Tade F, Mittal P, Moreno CC, Nieh P, Rossi P, Halkar R, Fei BW, Goodman MM, Schuster DM, Comparison of Fluciclovine (18F) PET-CT and MRI in Detection of Recurrent Prostate Cancer, The 2017 Annual Meeting of the American Urological Association (AUA), May 12-16, 2017, Boston, MA. 2017. [PDF]		2017PDF
134. Computer-aided diagnosis of prostate cancer with MRI
Fei BW (Corresponding author), Computer-aided diagnosis of prostate cancer with MRI, Current Opinion in Biomedical Engineering (In Press, Invited Review) 2017. [PDF] [DOI]		2017PDF
135. Deep convolutional neural network for prostate MR segmentation
Tian Z, Liu L, Fei BW, Deep convolutional neural network for prostate MR segmentation, Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 101351L, March 3, 2017, Orlando, FL. 2017. [PDF]		2017PDF
136. Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging
Halicek, M., Lu, GL., Little, JV., Wang, X., Patel, M., Griffith, CC., El-Deiry, MW., Chen, A., Fei, BW.(2017). “Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging.”Journal of Biomedical Optics 22(6): 4. 2017. [PDF] [DOI]		2017PDF
137. Deep learning-based classification for head and neck cancer detection with hyperspectral imaging in an animal model
Ma L, Lu G, Wang D, Wang X, Chen ZG, Fei BW. Deep learning-based classification for head and neck cancer detection with hyperspectral imaging in an animal model, Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101372G, March 13, 2017, Orlando, FL. 2017. [PDF] [DOI]		2017PDF
138. Detection of head and neck cancer in surgical specimens using quantitative hyperspectral imaging
Lu G, Zhang H, Wang X, Little J, Magliocca K, Chen A, Fei BW (Corresponding author).“Detection of head and neck cancer in surgical specimens using quantitative hyperspectral imaging,” Clinical Cancer Research. 2017 Jun 13. pii: clincanres.0906.2017. doi: 10.1158/1078-0432.CCR-17-0906. [Epub ahead of print] PubMed PMID:28611203. 2017. [PDF] [DOI]		2017PDF
139. Does Injection of 2-Aminobicyclo-(2,2,1)-Heptane-2-Carboxylic Acid (BCH) Affect Amino Acid Transporter Density in Prostate Cancer Xenografts?
Ormenisan-Gherasim C, Tade F, Akin-Akintayo OO, Bilir B, Wiles WG, Lu G, Fei BW, Moreno CS, Goodman MM, Schuster DM, Osunkoya AO, Does Injection of 2-Aminobicyclo-(2,2,1)-Heptane-2-Carboxylic Acid (BCH) Affect Amino Acid Transporter Density in Prostate Cancer Xenografts?”The 106th Annual Meeting of the United States & Canadian Academy of Pathology, March 4-10, 2017, San Antonio, TX. 2017. 		2017
140. Estimating cardiac fiber orientations in pig hearts using registered ultrasound and MR image volumes
Dormer JD, Meng Y, Zhang X, Jiang R, Wagner MB, Fei BW, Estimating cardiac fiber orientations in pig hearts using registered ultrasound and MR image volumes, Proc. SPIE 10139, Medical Imaging 2017: Ultrasonic Imaging and Tomography, 101391G, March 15, 2017, Orlando, FL. 2017. [PDF] [DOI]		2017PDF
141. Label-free hyperspectral imaging and quantification methods for surgical margin assessment of tissue specimens of cancer patients
Fei BW, Lu G, Halicek M, Wang X, Zhang HZ, Little JV, Magliocca K, Patel MR, Griffith CC, El-Diery MW. Label-free hyperspectral imaging and quantification methods for surgical margin assessment of tissue specimens of cancer patients. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC):4041-4045. 2017. [PDF] [DOI]		2017PDF
142. Label-free reflectance hyperspectral imaging for tumor margin assessment: a pilot study on surgical specimens of cancer patients
Fei BW, Lu G, Wang X, Zhang HZ, Little JV, Patel MR, Griffith CC, El-Diery MW, Chen AY. Label-free reflectance hyperspectral imaging for tumor margin assessment: a pilot study on surgical specimens of cancer patients. Journal of Biomedical Optics;22(8):086009. 2017. [PDF] [DOI]		2017PDF
143. Learning with distribution of optimized features for recognizing common CT imaging signs of lung diseases
Ma L, Liu X, Fei BW (Corresponding author). Learning with distribution of optimized features for recognizing common CT imaging signs of lung diseases, Physics in Medicine and Biology 2017, 62:612-632. 2017. [PDF] [DOI]		2017PDF
144. Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling
Webster RJ, Fei BW. Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling. Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series 2017;10135. 2017. 		2017
145. Micro-droplet detection method for measuring the concentration of alkaline phosphatase-labeled nanoparticles in fluorescence microscopy
Li RF, Wang YB, Xu H, Fei BW, Qin BJ. Micro-Droplet Detection Method for Measuring the Concentration of Alkaline Phosphatase-Labeled Nanoparticles in Fluorescence Microscopy. Sensors;17(11):2685. 2017. [PDF] [DOI]		2017PDF
146. Models of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order
Webster RJ, Fei BW, Nahlawi L, Goncalves C, Imani F, Gaed M, Gomez JA, Moussa M, Gibson E, Fenster A. Models of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order. Proceedings of SPIE 2017;10135. 2017. [PDF]		2017PDF
147. Molecular imaging and fusion targeted biopsy of the prostate
Fei BW (Corresponding author), Nieh P, Master V, Zhang Y, Osunkoya A, Schuster DM. Molecular imaging and fusion targeted biopsy of the prostate, Clinical and Translational Imaging 2017, 5:29-43. (Invited Paper) 2017. [PDF] [DOI]		2017PDF
148. PET Molecular Imaging–Directed Biopsy: A Review
Fei, B. W. and D. M. Schuster(2017). “PET Molecular Imaging–Directed Biopsy: A Review.”American Journal of Roentgenology: 1-15. 2017. [PDF] [DOI]		2017PDF
149. PET/Ultrasound fusion targeted biopsy of the prostate: initial clinical results
Fei, BW., Nieh, P., Master, V., Alemozaffar, M., Tade, F., Akin-Akintayo, O., Osunkoya, A., Goodman, M., Schuster, D.(2017). “PET/Ultrasound fusion targeted biopsy of the prostate: initial clinical results.”Journal of Nuclear Medicine 58: 1. 2017. 		2017
150. SPIE Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling (Proceedings of SPIE)
Webster RJ, Fei BW. SPIE Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling (Proceedings of SPIE). SPIE Press, 2017. 		2017
151. Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging
Fei BW, Lu G, Wang X, Zhang H, Little JV, Magliocca KR, Chen AY, Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging, Proc. SPIE 10054, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV, 100540E, February 14, 2017, San Francisco, CA. 2017. [PDF] [DOI]		2017PDF
152. Combining population and patient-specific characteristics for prostate segmentation on 3D CT images
Ma L, Guo R, Tian Z, Venkataraman R, Sarkar S, Liu X, Tade F, Schuster DM, Fei BW (Corresponding author). Combining population and patient-specific characteristics for prostate segmentation on 3D CT images. Proceedings of SPIE – The International Society for Optical Engineering 2016; 9784:978427. PubMed PMID:27660382. 2016. [PDF]		2016PDF
153. Computer-aided detection of prostate cancer with MRI: technology and applications
Liu L, Tian Z, Zhang Z, Fei BW (Corresponding author). Computer-aided detection of prostate cancer with MRI: technology and applications.Academic Radiology 2016; 23:1024-46. 2016. [PDF] [DOI]		2016PDF
154. Determining cardiac fiber orientation using FSL and registered ultrasound/DTI volumes
Dormer J, Qin X, Shen M, Wang S, Zhang X, Jiang R, Wagner MB, Fei BW (Corresponding author). Determining cardiac fiber orientation using FSL and registered ultrasound/DTI volumes. Proceedings of SPIE – The International Society for Optical Engineering 2016; 9790: 979015. PubMed PMID:27660384. 2016. [PDF]		2016PDF
155. Hyperspectral imaging of neoplastic progression in a mouse model of oral carcinogenesis
Lu G, Qin X, Wang D, Muller S, Zhang H, Chen A, Chen ZG, Fei BW (Corresponding author). Hyperspectral imaging of neoplastic progression in a mouse model of oral carcinogenesis. Proceedings of SPIE – The International Society for Optical Engineering 2016; 9788:978812. PubMed PMID:27656034. 2016. [PDF]		2016PDF
156. Potential application of radiomics for differentiating solitary pulmonary nodules
Wei KK, Su HF, Zhou GF, Zhang R, Cai PQ, Fan Y, Xie CM, Fei BW, Zhang ZF. Potential application of radiomics for differentiating solitary pulmonary nodules. OMICS Journal of Radiology;5(2). 2016. [PDF] [DOI]		2016PDF
157. Quantitative diagnosis of tongue cancer from histological images in an animal model
Lu G, Qin X, Wang D, Muller S, Zhang H, Chen A, Chen ZG, Fei BW (Corresponding author). Quantitative diagnosis of tongue cancer from histological images in an animal model. Proceedings of SPIE – The International Society for Optical Engineering 2016; 9791: 97910L. PubMed PMID:27656036. 2016. [PDF]		2016PDF
158. Random walk based segmentation for the prostate on 3D transrectal ultrasound images
Ma L, Guo R, Tian Z, Venkataraman R, Sarkar S, Liu X, Nieh PT, Master VV, Schuster DM, Fei BW (Corresponding author). Random walk based segmentation for the prostate on 3D transrectal ultrasound images. Proceedings of SPIE – The International Society for Optical Engineering 2016; 9786:978607. PubMed PMID:27660383. 2016. [PDF] [DOI]		2016PDF
159. Superpixel-based segmentation for 3D prostate MR images
Tian Z, Liu L, Zhang Z, Fei BW (Corresponding author). "Superpixel-based segmentation for 3D prostate MR images." IEEE Transactions on Medical Imaging; 35(3):791-801. 2016. [PDF] [DOI]		2016PDF
160. Superpixel-based spectral classification for the detection of head and neck cancer with hyperspectral imaging
Chung H, Lu G, Tian Z, Wang D, Chen ZG, Fei BW (Corresponding author). Superpixel-based spectral classification for the detection of head and neck cancer with hyperspectral imaging. Proceedings of SPIE – The International Society for Optical Engineering 2016; 9788:978813. PubMed PMID:27656035. 2016. [PDF]		2016PDF
161. 3D in vivo imaging of rat hearts by high frequency ultrasound and its application in myofiber orientation wrapping
Qin X, Wang S, Shen M, Zhang X, Lerakis S, Wagner MB, Fei BW (Corresponding author). 3D in vivo imaging of rat hearts by high frequency ultrasound and its application in myofiber orientation wrapping. Proceedings of SPIE – The International Society for Optical Engineering 2015; 9419:941906. PubMed PMID:26412926. 2015. [PDF]		2015PDF
162. A fully automatic multi-atlas based segmentation method for prostate MR images
Tian Z, Liu L, Fei BW (Corresponding author). A fully automatic multi-atlas based segmentation method for prostate MR images. Proceedings of SPIE – The International Society for Optical Engineering 2015; 9413:941340. PubMed PMID:26798187. 2015. [PDF]		2015PDF
163. A minimum spanning forest based classification method for dedicated breast CT images
Pike R, Lu G, Wang D, Chen ZG, Fei BW (Corresponding author). A minimum spanning forest based classification method for dedicated breast CT images. Medical Physics 2015; 42:6190-202. 2015. [PDF] [DOI]		2015PDF
164. A minimum spanning forest-based method for noninvasive cancer detection with hyperspectral imaging
Pike R, Sechopoulos I, Fei BW (Corresponding author). A minimum spanning forest-based method for noninvasive cancer detection wtih hyperspectral imaging. IEEE Transactions on Biomedical Engineering 2015; 63(3):653-663. 2015. [PDF] [DOI]		2015PDF
165. A supervoxel-based segmentation method for prostate MR images
Tian Z, Liu L, Fei BW (Corresponding author). A supervoxel-based segmentation method for prostate MR images. Proceedings of SPIE – The International Society for Optical Engineering 2015; 9413:941318. PubMed PMID:26848206. 2015. [PDF] [DOI]		2015PDF
166. Anti-[18F] FACBC PET-CT and multi-parametric MR (mp-MR) imaging in the detection of recurrent prostate cancer
Tade F, Odewole O, Halkar R, Mittal P, Nieh P, Rossi P, Fei BW, Savir-Baruch B, Goodman M, and Schuster DM, Anti-[18F] FACBC PET-CT and multi-parametric MR (mp-MR) imaging in the detection of recurrent prostate cancer. Journal of Nuclear Medicine and Molecular Imaging 56: Supplement 3:456. 2015. 		2015
167. DTI template-based estimation of cardiac fiber orientations from 3D ultrasound
Qin X, Fei BW (Corresponding author). DTI template-based estimation of cardiac fiber orientations from 3D ultrasound. Medical Physics 2015; 42:2915. 2015. [PDF] [DOI]		2015PDF
168. Estimation of tissue optical parameters with hyperspectral imaging and spectral unmixing
Lu G, Qin X, Wang D, Chen ZG, Fei BW (Corresponding author). Estimation of tissue optical parameters with hyperspectral imaging and spectral unmixing. Proceedings of SPIE – The International Society for Optical Engineering 2015; 9417:94170Q. PubMed PMID:26855467. 2015. [PDF]		2015PDF
169. Framework for hyperspectral image processing and quantification for cancer detection during animal tumor surgery
Lu G, Wang D, Qin X, Halig L, Muller S, Zhang H, Chen A, Pogue BW, Chen ZG, Fei BW (Corresponding author). Framework for hyperspectral image processing and quantification for cancer detection during animal tumor surgery. Journal of Biomedical Optics 2015; 20:126012. 2015. [PDF] [DOI]		2015PDF
170. Quantitative wavelength analysis and image classification for intraoperative cancer diagnosis with hyperspectral imaging
Lu G, Qin X, Wang D, Chen ZG, Fei BW (Corresponding author). Quantitative wavelength analysis and image classification for intraoperative cancer diagnosis with hyperspectral imaging. Proceedings of SPIE – The International Society for Optical Engineering 2015; 9415: 94151B. PubMed PMID:26523083. 2015. [PDF]		2015PDF
171. Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts
Qin X, Wang S, Shen M, Zhang X, Lerakis S, Wagner MB, Fei BW (Corresponding author). Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts. Proceedings of SPIE – The International Society for Optical Engineering 2015; 9415:94152M. PubMed PMID:26855466. 2015. [PDF]		2015PDF
172. Simulating cardiac ultrasound image based on MR diffusion tensor imaging
Qin X, Wang S, Shen M, Lu G, Zhang X, Wagner MB, Fei BW (Corresponding author). Simulating cardiac ultrasound image based on MR diffusion tensor imaging. Medical Physics 2015; 42:5144-56. 2015. [PDF] [DOI]		2015PDF
173. A minimum spanning forest based hyperspectral image classification method for cancerous tissue detection
Pike R, Patton SK, Lu G, Halig LV, Wang D, Chen ZG, Fei BW (Corresponding author). A minimum spanning forest based hyperspectral image classification method for cancerous tissue detection. Proceedings of SPIE – The International Society for Optical Engineering 2014; 9034:90341W. PubMed PMID:25426272. 2014. [PDF]		2014PDF
174. A robust and accurate center-frequency estimation (RACE) algorithm for improving motion estimation performance of SinMod on tagged cardiac MR images without known tagging parameters
Liu H, Wang J, Xu X, Song E, Wang Q, Jin R, Hung CC, Fei BW (Corresponding author). A robust and accurate center-frequency estimation (RACE) algorithm for improving motion estimation performance of SinMod on tagged cardiac MR images without known tagging parameters. Magnetic Resonance Imaging 2014; 32:1139-55. 2014. [PDF] [DOI]		2014PDF
175. Breast tissue classification in digital tomosynthesis images based on global gradient minimization and texture features
Qin X, Lu G, Sechopoulos I, Fei BW (Corresponding author).Breast tissue classification in digital tomosynthesis images based on global gradient minimization and texture features. Proceedings of SPIE – The International Society for Optical Engineering 2014; 9034:90341V. PubMed PMID:25426271. 2014. [PDF]		2014PDF
176. Breast tomosynthesis with monochromatic beams: a feasibility study using Monte Carlo simulations.
Malliori A, Bliznakova K, Sechopoulos I, Kamarianakis Z, Fei BW, Pallikarakis N. Breast tomosynthesis with monochromatic beams: a feasibility study using Monte Carlo simulations. Physics in Medicine and Biology 2014; 59:4681-96. 2014. [PDF]		2014PDF
177. Cardiac Fiber Imaging Using High-Frequency Ultrasound in Animal Models
Fei BW, Qin X, Wang S, Shen M, Wagner M, Zhang X, Cardiac Fiber Imaging Using High-Frequency Ultrasound in Animal Models, The Annual Meeting of the American Association of Physics in Medicine (AAPM), Austin, TX, July 20-24, 2014. 2014. 		2014
178. EGFR targeted iron-oxide nanoparticles for photodynamic therapy in head and neck cancer
Wang D, Qin X, Qian G, Halig L, Fei BW, Chen Z, Chen ZG, Saba NF, Shin DM, Xu H, Wang AY, EGFR targeted iron-oxide nanoparticles for photodynamic therapy in head and neck cancer, The Annual Meeting of American Cancer Society 2014, Cancer Research, 74; 3223. 2014. 		2014
179. Hyperspectral imaging for cancer surgical margin delineation: registration of hyperspectral and histological images
Lu G, Halig L, Wang D, Chen ZG, Fei BW (Corresponding author). Hyperspectral imaging for cancer surgical margin delineation: registration of hyperspectral and histological images. Proceedings of SPIE – The International Society for Optical Engineering 2014; 9036:90360S. PubMed PMID:25328640. 2014. [PDF]		2014PDF
180. Imaging and visualization of cardiac muscle microstructure in rats using high-resolution MRI
Wang S, Qin X, Zhang X, Wagner MB, Fei BW, Imaging and visualization of cardiac muscle microstructure in rats using high-resolution MRI, The Annual Meeting of The International Society for Magnetic Resonance in Medicine (ISMRM) 2014, May 10-16, 2014 Milan, Italy. 2014. 		2014
181. Mapping cardiac fiber orientations from high-resolution DTI to high-frequency 3D ultrasound
Qin X, Wang S, Shen M, Zhang X, Wagner MB, Fei BW (Corresponding author). Mapping cardiac fiber orientations from high-resolution DTI to high-frequency 3D ultrasound. Proceedings of SPIE – The International Society for Optical Engineering 2014; 9036:90361O. PubMed PMID:25328641. 2014. [PDF]		2014PDF
182. Measuring myofiber orientations from high-frequency ultrasound images using multiscale decompositions.
Qin X, Fei BW (Corresponding author). Measuring myofiber orientations from high-frequency ultrasound images using multiscale decompositions. Physics in Medicine and Biology 2014; 59:3907-24. 2014. [PDF] [DOI]		2014PDF
183. Medical Hyperspectral Imaging for the Detection of Head and Neck Cancer in Animal Models
Fei BW, Lu G, Pike R, Wang D, GZ Chen, Medical Hyperspectral Imaging for the Detection of Head and Neck Cancer in Animal Models, The Annual Meeting of the American Association of Physics in Medicine (AAPM), Austin, TX, July 20-24, 2014. 2014. [PDF]		2014PDF
184. Medical hyperspectral imaging: a review
Lu G, Fei BW (Corresponding author). Medical hyperspectral imaging: a review. Journal of Biomedical Optics 2014; 19:10901. 2014. [PDF] [DOI]		2014PDF
185. Metformin beyond diabetes: pleiotropic benefits of metformin in attenuation of atherosclerosis
Forouzandeh F, Salazar G, Patrushev N, Xiong S, Hilenski L, Fei BW. Alexander RW. Metformin beyond diabetes: pleiotropic benefits of metformin in attenuation of atherosclerosis. Journal of American Heart Association 2014; 3:e001202. 2014. [PDF] [DOI]		2014PDF
186. Multimodality molecular imaging for targeted biopsy of prostate cancer
Fei BW, Nieh PT, Schuster DM, Master VA, Multimodality molecular imaging for targeted biopsy of prostate cancer, The 2nd International Conference of Biomedical Engineering, Beijing, China, June 13-15, 2014. 2014. 		2014
187. Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging
Lu G, Halig L, Wang D, Qin X, Chen ZG, Fei BW (Corresponding author). Spectral-spatial classification for noninvasive cancer detection using hyperspectral imaging. Journal of Biomedical Optics 2014; 19:106004. 2014. [PDF] [DOI]		2014PDF
188. Spectral-spatial classification using tensor modeling for cancer detection with hyperspectral imaging
Lu G, Halig L, Wang D, Chen ZG, Fei BW (Corresponding author). Spectral-spatial classification using tensor modeling for cancer detection with hyperspectral imaging. Proceedings of SPIE – The International Society for Optical Engineering 2014; 9034:903413. PubMed PMID:25328639. 2014. [PDF]		2014PDF
189. Targeted iron-oxide nanoparticle for photodynamic therapy and imaging of head and neck cancer
Wang D, Fei BW (Corresponding author), Halig LV, Qin X, Hu Z, Xu H, Wang YA, Chen Z, Kim S, Shin DM, Chen Z. Targeted iron-oxide nanoparticle for photodynamic therapy and imaging of head and neck cancer, ACS Nano 2014, 8:6620-6632. 2014. [PDF]		2014PDF
190. Accuracy evaluation of a 3D ultrasound-guided biopsy system.
Wooten III WJ, Nye JA, Schuster DM, Nieh PT, Master VA, Votaw JR, Fei BW (Corresponding author). Accuracy evaluation of a 3D ultrasound-guided biopsy system. Proceedings of SPIE – The International Society for Optical Engineering 2013; 8671. PubMed PMID:24392206. 2013. [PDF] [DOI]		2013PDF
191. Automatic 3D segmentation of the kidney in MR images using wavelet feature extraction and probability shape model
Akbari H, Fei BW (Corresponding author). Automatic 3D segmentation of the kidney in MR images using wavelet feature extraction and probability shape model. Proceedings of SPIE – The International Society for Optical Engineering 2013; 8314:83143D. PubMed PMID:24027620. 2013. [PDF]		2013PDF
192. Automatic segmentation of right ventricle on ultrasound images using sparse matrix transform and level set
Qin X, Cong Z, Halig LV, Fei BW (Corresponding author). Automatic segmentation of right ventricle on ultrasound images using sparse matrix transform and level set. Proceedings of SPIE – The International Society for Optical Engineering 2013; 8669. PubMed PMID:24236228. 2013. [PDF] [DOI]		2013PDF
193. Automatic segmentation of right ventricular ultrasound images using sparse matrix transform and a level set
Qin X, Cong Z, Fei BW (Corresponding author). Automatic segmentation of right ventricular ultrasound images using sparse matrix transform and a level set. Physics in Medicine and Biology 2013; 58:7609-24. 2013. [PDF] [DOI]		2013PDF
194. Biodistribution study of nanoparticle encapsulated photodynamic therapy drugs using multispectral imaging
Halig LV, Wang D, Wang AY, Chen ZG, Fei BW (Corresponding author).Biodistribution study of nanoparticle encapsulated photodynamic therapy drugs using multispectral imaging. Proceedings of SPIE – The International Society for Optical Engineering 2013; 8672. PubMed PMID:24236230. 2013. [PDF] [DOI]		2013PDF
195. Characterization of primary prostate carcinoma by anti-1-amino-2-[18F] -fluorocyclobutane-1-carboxylic acid (anti-3-[18F] FACBC) uptake
Schuster DM, Taleghani PA, Nieh PT, Master VA, Amzat R, Savir-Baruch B, Halkar RK, Fox T, Osunkoya AO, Nye JA, Yu W, Fei BW, Wang Z, Chen Z, Goodman MM. Characterization of primary prostate carcinoma by anti-1-amino-2-[18F] -fluorocyclobutane-1-carboxylic acid (anti-3-[18F] FACBC) uptake, American Journal of Nuclear Medicine and Molecular Imaging 2013; 3:85-96. 2013. [PDF]		2013PDF
196. Extracting cardiac myofiber orientations from high frequency ultrasound images
Qin X, Cong Z, Jiang R, Shen M, Wagner MB, Kishbom P, Fei BW (Corresponding author). Extracting cardiac myofiber orientations from high frequency ultrasound images. Proceedings of SPIE – The International Society for Optical Engineering 2013; 8675. PubMed PMID:24392208. 2013. [PDF] [DOI]		2013PDF
197. Ferritin nanocages to encapsulate and deliver photosensitizers for efficient photodynamic therapy against cancer
Zhen Z, Tang W, Guo C, Chen H, Lin X, Liu G, Fei BW, Chen X, Xu B, Xie J. Ferritin nanocages to encapsulate and deliver photosensitizers for efficient photodynamic therapy against cancer.ACS Nano 2013; 7:6988-96. 2013. [PDF] [DOI]		2013PDF
198. Histogram processing-based image enhancement of digital radiography for detection of cardiac calcification
Chen X, Jin J, Fei BW, Histogram processing-based image enhancement of digital radiography for detection of cardiac calcification, The World Congress of Medical Physics and Biomedical Engineering, Beijing, China, IFMBE Proceedings 2013, 39, 939-942. 2013. [PDF]		2013PDF
199. Multiscale segmentation of the skull in MR images for MRI-based attenuation correction of combined MR/PET
Yang X, Fei BW (Corresponding author). Multiscale segmentation of the skull in MR images for MRI-based attenuation correction of combined MR/PET. Journal of the American Medical Informatics Association 2013; 20: 1037-45. 2013. [PDF] [DOI]		2013PDF
200. Nonrigid point registration for 2D curves and 3D surfaces and its various applications.
Wang H, Fei BW (Corresponding author). Nonrigid point registration for 2D curves and 3D surfaces and its various applications. Physics in Medicine and Biology 2013; 58:4315-30. 2013. [PDF] [DOI]		2013PDF
201. PET directed, 3D ultrasound-guided prostate biopsy,
Fei BW (Corresponding author), Nieh PT, Schuster DM, Master VA. PET directed, 3D ultrasound-guided prostate biopsy, Diagnostic Imaging Europe 2013, 12-15 (Invited Paper, Featured by the journal cover). 2013. [PDF]		2013PDF
202. Power spectrum analysis of the X-ray scatter signal in mammography and breast tomosynthesis projections
Sechopoulos I, Bliznakova K, Fei BW. Power spectrum analysis of the X-ray scatter signal in mammography and breast tomosynthesis projections. Medical Physics 2013; 40:101905. 2013. [PDF] [DOI]		2013PDF
203. WE‐G‐103‐05: Spatial frequency characterization of the x‐ray scatter signal in breast imaging
Sechopoulos I, Fei BW, Bliznakova K. WE‐G‐103‐05: Spatial Frequency Characterization of the X‐Ray Scatter Signal in Breast Imaging. Medical Physics;40(6Part31):510. 2013. 		2013
204. 3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning
Yang X, Fei BW (Corresponding author).3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning. Proceedings of SPIE – The International Society for Optical Engineering 2012; 8316:83162O. PubMed PMID:24027622. 2012. [PDF]		2012PDF
205. 3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning
Yang X, Fei BW,3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning, Edited by David R. Holmes III, Kenneth H. Wong, Proceedings of SPIE – The International Society for Optical Engineering 2012; 8316, 83162O-1~9. 2012. [PDF]		2012PDF
206. 3D ultrasound image segmentation using wavelet support vector machines
Akbari H, Fei BW (Corresponding author). 3D ultrasound image segmentation using wavelet support vector machines, Medical Physics 2012; 39:2972-2984. (Featured by the journal cover). 2012. [PDF] [DOI]		2012PDF
207. A molecular image-directed, 3d ultrasound-guided biopsy system for the prostate
Fei BW (Corresponding author), Schuster DM, Master V, Akbari H, Fenster A, Nieh P. A molecular image-directed, 3d ultrasound-guided biopsy system for the prostate. Proceedings of SPIE – The International Society for Optical Engineering 2012; 831613. PubMed PMID:22708023. 2012. [PDF]		2012PDF
208. A molecular image-directed, 3D ultrasound-guided biopsy system for the prostate
Fei BW, Schuster DM, Nieh P, Akbari H, Fenster A, Master V, A molecular image-directed, 3D ultrasound-guided biopsy system for the prostate, Edited by David R. Holmes III, Kenneth H. Wong, Proceedings of SPIE – The International Society for Optical Engineering 2012, 8316, 831613-1~8. 2012. [PDF]		2012PDF
209. An MR image-guided, voxel-based partial volume correction method for PET images
Wang H, Fei BW (Corresponding author). An MR image-guided, voxel-based partial volume correction method for PET images. Medical Physics 2012; 39:179-195. 2012. [PDF] [DOI]		2012PDF
210. Assessment of coronary artery calcium using dual-energy subtraction digital radiography
Mafi J, Fei BW, Roble S, Dota A, Katrapati P, Bezerra HG, Wang H, Wang W, Ciancibello L, Costa M, Simon DI, Orringer CE, Gilkeson RC. Assessment of coronary artery calcium using dual-energy subtraction digital radiography. Journal of Digital Imaging 2012; 25:129-36. 2012. [PDF] [DOI]		2012PDF
211. Characterization of the homogeneous breast tissue mixture approximation for breast image dosimetry
Feng S, Bliznakova K, Qin X, Fei BW, Sechopoulos I, Characterization of the homogeneous breast tissue mixture approximation for breast image dosimetry, The Annual Meeting of the American Association of Physics in Medicine, Charlotte, NC, July 29-August 2, 2012. 2012. [DOI]		2012
212. Characterization of the homogeneous tissue mixture approximation in breast imaging dosimetry
Sechopoulos I, Bliznakova K, Qin X, Fei BW, Feng SS. Characterization of the homogeneous tissue mixture approximation in breast imaging dosimetry, Medical Physics 2012; 39:5050-5059. (2012 Best Paper Award, The Southeast Chapter of AAPM). 2012. [PDF] [DOI]		2012PDF
213. Cupping artifact correction and automated classification for high-resolution dedicated breast CT images.
Yang X, Wu S, Sechopoulos I, Fei BW (Corresponding author). Cupping artifact correction and automated classification for high-resolution dedicated breast CT images. Medical Physics 2012; 39:6397-6406. 2012. [PDF] [DOI]		2012PDF
214. Detection of cancer metastasis using a novel macroscopic hyperspectral method
Akbari H, Halig LV, Zhang H, Wang D, Chen ZG, Fei BW (Corresponding author). Detection of cancer metastasis using a novel macroscopic hyperspectral method. Proceedings of SPIE – The International Society for Optical Engineering 2012; 8317:831711. PubMed PMID:23336061. 2012. [PDF]		2012PDF
215. Hyperspectral imaging and quantitative analysis for prostate cancer detection
Akbari H, Halig LV, Schuster DM, Osunkoya A, Master VA, Nieh PT, Chen GZ, and Fei BW (Corresponding author). Hyperspectral imaging and quantitative analysis for prostate cancer detection, Journal of Biomedical Optics 2012; 17:076005. 2012. [PDF] [DOI]		2012PDF
216. Hyperspectral imaging and spectral-spatial classification for cancer detection
Fei BW, Akbari H, Halig LV, Hyperspectral imaging and spectral-spatial classification for cancer detection, The 5th IEEE International Congress on Image and Signal Processing and the 5th International Conference on BioMedical Engineering and Informatics, Chongqing, China, October 16-18, 2012. 2012. [PDF]		2012PDF
217. Incorporating PET/CT images into 3D ultrasound-guided biopsy of the prostate
Fei BW, Schuster DM, Master V, Nieh P, Incorporating PET/CT images into 3D ultrasound-guided biopsy of the prostate. The Annual Meeting of the American Association of Physics in Medicine, Charlotte, NC, July 29-August 2, 2012. 2012. [PDF]		2012PDF
218. Increased expression of Ki-67 correlates with synthetic amino acid PET radiotracer uptake in prostate cancer
Pooneh T, Amzat R, Osunkoya A, Savir-baruch B, Nieh P, Master V, Fei BW, Fox T, Goodman MM, Schuster DM, Increased expression of Ki-67 correlates with synthetic amino acid PET radiotracer uptake in prostate cancer. The Annual Meeting of the Society of Nuclear Medicine, Miami, FL, June 9-13, 2012. 2012. 		2012
219. Medulloblastoma
MacDonald T, Liu JB, Munson J, Park JK, Wang K, Fei BW, Bellamkonda R, Arbiser J. Medulloblastoma. Neuro-oncology;14(supp1). 2012. 		2012
220. MR/PET quantification tools: registration, segmentation, classification, and MR-based attenuation correction,
Fei BW (Corresponding author), Yang X, Nye J, Aarovold J, Cervo M, Stark R, Meltzer CC, and Votaw J. MR/PET quantification tools: registration, segmentation, classification, and MR-based attenuation correction, Medical Physics 2012, 39:6443-6454. 2012. [PDF] [DOI]		2012PDF
221. Nonrigid registration and classification of the kidneys in 3D dynamic contrast enhanced (DCE) MR images
Yang X, Ghafourian P, Sharma P, Salman K, Martin D, Fei BW (Corresponding author). Nonrigid registration and classification of the kidneys in 3D dynamic contrast enhanced (DCE) MR images. Proceedings of SPIE – The International Society for Optical Engineering 2012; 8314:83140B. PubMed PMID:22468206. 2012. [PDF]		2012PDF
222. Synthetic amino acid PET in primary prostate carcinoma: Correlation of pre-surgical imaging with radical prostatectomy specimens
Pooneh T, Amzat R, Osunkoya A, Savir-baruch B, Nieh P, Master V, Fei BW, Fox T, Goodman MM, Schuster DM. Synthetic amino acid PET in primary prostate carcinoma: Correlation of pre-surgical imaging with radical prostatectomy specimens. The Annual Meeting of the Society of Nuclear Medicine, Miami, FL, June 9-13, 2012. 2012. 		2012
223. The application of nanoparticle liposome-impramine blue in the treatment of medulloblastoma in the smoa1 transgenic mice
MacDonald T, Liu J, Munson J, Park J, Wang K, Fei BW, Bellamkonda R, Arbiser J. The application of nanoparticle liposome-impramine blue in the treatment of medulloblastoma in the smoa1 transgenic mice, Neuro-Oncology 2012, 14(Suppl 1) i82-i105. 2012. [PDF]		2012PDF
224. 3D non-rigid registration using surface and local salient features for transrectal ultrasound image-guided prostate biopsy
Yang X, Akbari H, Halig L, Fei BW (Corresponding author). 3D non-rigid registration using surface and local salient features for transrectal ultrasound image-guided prostate biopsy. Proceedings of SPIE – The International Society for Optical Engineering 2011; 7964:79642V. PubMed PMID:24027609. 2011. [PDF]		2011PDF
225. 3D segmentation of prostate ultrasound images using wavelet transform
Akbari H, Yang X, Halig LV, Fei BW (Corresponding author).3D segmentation of prostate ultrasound images using wavelet transform. Proceedings of SPIE – The International Society for Optical Engineering 2011; 7962:79622K. PubMed PMID:22468205. 2011. [PDF]		2011PDF
226. A MR brain classification method based on multiscale and multiblock fuzzy C-means
Yang X, Fei BW (Corresponding author). A MR brain classification method based on multiscale and multiblock fuzzy C-means. Proceedings of International Conference of Bioinformatics and Biomedical Engineering 2011:1-4. PubMed PMID:23358117. 2011. [PDF]		2011PDF
227. A MR Brain Classification Method Based on Multiscale and Multiblock Fuzzy C-Means
Yang X, Fei BW. An MR Brain Classification Method Based on Multiscale and Multiblock Fuzzy C-Means. The 5th International Conference on Bioinformatics and Biomedical Engineering, pp. 1-4, May 10-12, 2011. 2011. 		2011
228. A multiscale and multiblock fuzzy C-means classification method for brain MR images,
Yang X, Fei BW (Corresponding author). A multiscale and multiblock fuzzy C-means classification method for brain MR images, Medical Physics 2011; 38:2879-2891. 2011. [PDF]		2011PDF
229. A PET/CT directed, 3D ultrasound-guided biopsy system for prostate cancer
Fei BW, Master V, Nieh P, Akbari H, Yang X, Fenster A, Schuster D. A PET/CT directed, 3D ultrasound-guided biopsy system for prostate cancer.Workshop on Prostate Cancer Imaging at the Annual Meeting of the Society of Medical Imaging Computing and Image Assisted Interventions (MICCAI), Toronto, Canada, September 18-22, 2011. 2011. [PDF]		2011PDF
230. A wavelet multiscale denoising algorithm for magnetic resonance (MR) images
Yang X, Fei BW. A wavelet multiscale denoising algorithm for magnetic resonance (MR) images, Measurement Science and Technology 2011; 22:025803:1-12. 2011. [PDF]		2011PDF
231. Automatic 3D segmentation of ultrasound images using atlas registration and statistical texture prior
Yang X, Schuster D, Master V, Nieh P, Fenster A, Fei BW (Corresponding author). Automatic 3D segmentation of ultrasound images using atlas registration and statistical texture prior. Proceedings of SPIE – The International Society for Optical Engineering 2011; 7964:796432. PubMed PMID:22708024. (Cum Laude Poster Award - First Place). 2011. [PDF]		2011PDF
232. Automatic tissue classification for high-resolution breast CT images based on bilateral filtering
Yang X, Sechopoulos I, Fei BW (Corresponding author). Automatic tissue classification for high-resolution breast CT images based on bilateral filtering. Proceedings of SPIE – The International Society for Optical Engineering 2011; 7962:79623H. PubMed PMID:24027608. 2011. [PDF]		2011PDF
233. Histopathologic correlation of prostatic adenocarcinoma on radical prostatectomy with pre-operativeanti[18F]fluorocyclobutyl-carboxylic acid positron emission tomography/computed tomography
Schuster D, Fei BW, Fox T, Osunkoya AO. Histopathologic correlation of prostatic adenocarcinoma on radical prostatectomy with pre-operativeanti[18F]fluorocyclobutyl-carboxylic acid positron emission tomography/computed tomography. The 100th Annual Meeting of the United States and Canadian-Academy-of-Pathology, Laboratory Investigation, San Antonio, TX, February 26-March 04, 2011; 91(Supplement: 1):222A-223A. 2011. 		2011
234. A skull segmentation method for brain MR images based on multiscale bilateral filtering scheme
Yang X, Fei BW, A skull segmentation method for brain MR images based on multiscale bilateral filtering scheme. SPIE Medical Imaging: Image Processing, Edited by Benoit M. Dawant, David R. Haynor, Proceedings of SPIE – The International Society for Optical Engineering2010;7623:76233K-1~8. 2010. [PDF]		2010PDF
235. Choline PET for monitoring early tumor response to photodynamic therapy
Fei BW (Corresponding author), Wang H, Wu C, Chiu SM. Choline PET for monitoring early tumor response to photodynamic therapy. Journal of Nuclear Medicine 2010; 51:130-138. 2010. [PDF]		2010PDF
236. Diffusion-weighted MRI for monitoring tumor response to photodynamic therapy
Wang H, Fei BW (Corresponding author). Diffusion-weighted MRI for monitoring tumor response to photodynamic therapy. Journal of Magnetic Resonance Imaging 2010; 32:409-417. 2010. [PDF]		2010PDF
237. MRI-based attenuation correction and quantification tools for combined MRI/PET
Fei BW, Yang X, Nye JA, Jones M, Aarsvold JN, Raghunath N, Meltzer CC, Votaw JR. MRI-based attenuation correction and quantification tools for combined MRI/PET. The 57th Annual Meeting of the Society of Nuclear Medicine, Journal of Nuclear Medicine 2010; 51(Supplement 2): 81. (Young Investigator Award – First Place). 2010. [PDF]		2010PDF
238. PET-MRI quantification tools – registration, segmentation, classification, and attenuation correction
Fei BW, Yang X, Nye JA, Aarsvold JN, Meltzer CC, Votaw JR. PET-MRI quantification tools – registration, segmentation, classification, and attenuation correction. IEEE Nuclear Science Symposium and Medical Imaging Conference Focused Workshop on PET/MRI, November 1, 2010, Knoxville, TN. 2010. 		2010
239. A minimal path searching approach for active shape model (ASM)-based segmentation of the lung
Guo S, Fei BW (Corresponding author). A minimal path searching approach for active shape model (ASM)-based segmentation of the lung. Proceedings of SPIE – The International Society for Optical Engineering 2009; 7259. PubMed PMID:24386531. 2009. [PDF]		2009PDF
240. A modified fuzzy C-means classification method using a multiscale diffusion filtering scheme.
Wang H, Fei BW (Corresponding author). A modified fuzzy C-means classification method using a multiscale diffusion filtering scheme. Medical Image Analysis 2009; 13:193-202. 2009. [PDF]		2009PDF
241. An MRI-based attenuation correction method for combined PET/MRI applications
Fei BW, Yang X, Wang H. An MRI-based attenuation correction method for combined PET/MRI applications. Proceedings of SPIE – The International Society for Optical Engineering 2009; 7262:726208. PubMed PMID:23682307. 2009. [PDF]		2009PDF
242. An MRI-guided PET partial volume correction method
Wang H, Fei BW (Corresponding author). An MRI-guided PET partial volume correction method. Proceedings of SPIE – The International Society for Optical Engineering 2009; 7259. PubMed PMID:24386530. 2009. [PDF]		2009PDF
243. Bismuth breast shielding and its effect on calcium score and dose
Ciancibello L, Gilkeson RC, Fei BW.Bismuth breast shielding and its effect on calcium score and dose. The 109th Annual Meeting of the American-Roentgen-Ray-Society, Boston, MA, April 27-May 01, 2009, American Journal of Roentgenology 2009:192(5). 2009. 		2009
244. Choline molecular imaging with small-animal pet for monitoring tumor cellular response to photodynamic therapy of cancer
Fei BW (Corresponding author), Wang H, Wu C, Meyers J, Xue LY, Maclennan G, Schluchter M. Choline molecular imaging with small-animal pet for monitoring tumor cellular response to photodynamic therapy of cancer. Proceedings of SPIE – The International Society for Optical Engineering 2009; 7262:726211. PubMed PMID:23336060. 2009. [PDF]		2009PDF
245. Kinematic calibration of a parallel robot for small animal biopsies
Hwang MJ, Bebek O, Liang F, Fei BW, Cavusoglu MC. Kinematic calibration of a parallel robot for small animal biopsies. IEEE/RSJ International Conference on Intelligent Robots and Systems, Proceedings of IEEE 2009;4104-4109. 2009. [PDF]		2009PDF
246. Monitoring tumor cellular and tissue response to photodynamic therapy by choline pet imaging and diffusion-weighted MRI
Fei BW, Wang H, Wu C, Chiu S, Edgehouse N. Monitoring tumor cellular and tissue response to photodynamic therapy by choline pet imaging and diffusion-weighted MRI.World Molecular Imaging Congress, Montreal, Canada, September 23-26, 2009. 2009. [PDF]		2009PDF
247. Quantification of coronary artery calcium using dual-energy subtraction digital radiography
Mafi J, Fei BW, Gilkeson RC, Roble S, Dota A, Katrapati P. Quantification of coronary artery calcium using dual-energy subtraction digital radiography. Annual Meeting of the Radiological Society of Northern America (RSNA), Session: Cardiac (CT Angiography: Dual Energy), Chicago, IL, November29-December4, 2009. 2009. [PDF]		2009PDF
248. A deformable model-based minimal path segmentation method for kidney MR images
Li K, Fei BW (Corresponding author). A deformable model-based minimal path segmentation method for kidney MR images. Proceedings of SPIE – The International Society for Optical Engineering 2008; 6914. PubMed PMID:24386528. 2008. [PDF]		2008PDF
249. A New 3D Model-based minimal path segmentation method for kidney MR images
Li K, Fei BW, A New 3D Model-based minimal path segmentation method for kidney MR images. The 2nd International Conference on Bioinformatics and Biomedical Engineering, 2342-2344, May 16-18, 2008. 2008. [PDF]		2008PDF
250. A robust b-splines based point match method for non-rigid surface registration
Wang H, Fei BW. A robust b-splines based point match method for non-rigid surface registration. The 2nd International Conference on Bioinformatics and Biomedical Engineering, 2353-2356, May 16-18, 2008. 2008. [PDF]		2008PDF
251. Choline molecular imaging with PET for photodynamic therapy of cancer
Fei BW, Wang H, Wu C, Meyers JD. Choline molecular imaging with PET for photodynamic therapy of cancer. The Annual Meeting of the Society of Nuclear Medicine, New Oreland, LA, June 14-18, 2008. Journal of Nuclear Medicine 2008:49 (Supplement 1):329P. 2008. [PDF]		2008PDF
252. Design of a small animal biopsy robot
Bebek O, Hwang MJ, Fei BW, Cavusoglu M. Design of a small animal biopsy robot. Proceedings of IEEE Engineering in Medicine and Biology Society 2008; 5601-4. PubMed PMID:19163987. 2008. [PDF]		2008PDF
253. Gaussian weighted projection for visualization of cardiac calcification
Chen X, Li K, Gilkeson R, Fei BW (Corresponding author). Gaussian weighted projection for visualization of cardiac calcification. Proceedings of SPIE – The International Society for Optical Engineering 2008; 6918. PubMed PMID:24386529. 2008. [PDF]		2008PDF
254. Highly efficient drug delivery with gold nanoparticle vectors for in vivo photodynamic therapy of cancer
Cheng Y, Samia AC, Meyers JD, Panagopoulos I, Fei BW (Corresponding author), Burda C. Highly efficient drug delivery with gold nanoparticle vectors for in vivo photodynamic therapy of cancer. Journal of the American Chemical Society 2008; 130:10643-10647. 2008. [PDF]		2008PDF
255. New technique for real-time interface pressure analysis: getting more out of large image data sets
Bogie K, Wang X, Fei BW, Sun J. New technique for real-time interface pressure analysis: getting more out of large image data sets. Journal of Rehabilitation Research and Development 2008; 45:523-535. 2008. [PDF]		2008PDF
256. Automatic 3D-to-2D registration for CT and dual-energy digital radiography for calcification detection
Chen X, Gilkeson RC, Fei BW (Corresponding author). Automatic 3D-to-2D registration for CT and dual-energy digital radiography for calcification detection. Medical Physics 2007; 34:4934-4943. 2007. [PDF]		2007PDF
257. Automatic intensity-based 3D-to-2D registration of CT volume and dual-energy digital radiography for the detection of cardiac calcification
Chen X, Gilkeson R, Fei BW (Corresponding author). Automatic intensity-based 3D-to-2D registration of CT volume and dual-energy digital radiography for the detection of cardiac calcification. Proceedings of SPIE – The International Society for Optical Engineering 2007; 6512. PubMed PMID:24386527. 2007. [PDF]		2007PDF
258. Automatic registration and fusion of ultrasound imaging and positron emission tomography (PET) for improved diagnosis of gynecologic cancer
Fei BW, Azar N, Greer M, Rochon PJ, Faulhaber PP. Automatic registration and fusion of ultrasound imaging and positron emission tomography (PET) for improved diagnosis of gynecologic cancer. The American Institute of Ultrasound in Medicine 2007 Convention, New York, NY, March 15-18, 2007. 2007. [PDF]		2007PDF
259. High-field magnetic resonance imaging of the response of human prostate cancer to Pc 4-based photodynamic therapy in an animal model
Fei BW (Corresponding author), Wang H, Meyers JD, Feyes DK, Oleinick NL, Duerk JL. High-field magnetic resonance imaging of the response of human prostate cancer to Pc 4-based photodynamic therapy in an animal model. Lasers in Surgery and Medicine 2007; 39:723-730. 2007. [PDF]		2007PDF
260. In vivo small animal imaging for early assessment of therapeutic efficacy of photodynamic therapy for prostate cancer
Fei BW (Corresponding author), Wang H, Chen X, Meyers J, Mulvihill J, Feyes D, Edgehouse N, Duerk JL, Pretlow TG, Oleinick NL.In vivo small animal imaging for early assessment of therapeutic efficacy of photodynamic therapy for prostate cancer. Proceedings of SPIE – The International Society for Optical Engineering 2007; 6511. PubMed PMID:24386525. 2007. [PDF]		2007PDF
261. Multimodality molecular imaging for photodynamic therapy of prostate cancer
Fei BW, Duerk JL, Oleinick NL. Multimodality molecular imaging for photodynamic therapy of prostate cancer. US Department of Defense Prostate Cancer Research Program -The Innovative Minds In Prostate Cancer Today (IMPaCT) Inaugural Meeting, Atlanta, GA, September 5-8, 2007. 2007. 		2007
262. Multiscale fuzzy C-means image classification for multiple weighted MR images for the assessment of photodynamic therapy in mice
Wang H, Feyes D, Mulvihill J, Oleinick N, Maclennan G, Fei BW (Corresponding author). Multiscale fuzzy C-means image classification for multiple weighted MR images for the assessment of photodynamic therapy in mice. Proceedings of SPIE – The International Society for Optical Engineering 2007; 6512. PubMed PMID:24386526. 2007. [PDF]		2007PDF
263. Semiquantitative imaging measurement of baseline and vasomodulated normal prostatic blood flow using sildenafil
Haaga JR, Exner A, Fei BW, Seftel A. Semiquantitative imaging measurement of baseline and vasomodulated normal prostatic blood flow using sildenafil. International Journal of Impotence Research 2007; 19:110-3. 2007. [PDF]		2007PDF
264. Automatic registration of CT volumes and dual-energy digital radiography for detection of cardiac and lung diseases
Fei BW (Corresponding author), Chen X, Wang H, Sabol JM, DuPont E, Gilkeson RC. Automatic registration of CT volumes and dual-energy digital radiography for detection of cardiac and lung diseases. Proceedings of IEEE Engineering in Medicine and Biology Society 2006; 1:1976-9. PubMed PMID:17945687. 2006. [PDF]		2006PDF
265. Deformable and rigid registration of MRI and microPET images for photodynamic therapy of cancer in mice
Fei BW (Corresponding author), Wang H, Muzic RF Jr, Flask CA, Wilson DL, Duerk JL, Feyes DK, Oleinick NL. Deformable and rigid registration of MRI and microPET images for photodynamic therapy of cancer in mice. Medical Physics 2006; 33:753-760. 2006. [PDF]		2006PDF
266. Finite element model-based tumor registration of microPET and high-resolution MR images for photodynamic therapy in mice
Fei BW, Wang H, Muzic RF, Flask CA, Feyes DK, Wilson DL, Duerk JL, Oleinick NL. Finite element model-based tumor registration of microPET and high-resolution MR images for photodynamic therapy in mice. SPIE Medical Imaging: Physiology, Function, and Structure from Medical Images, Edited by Amir A. Amini, Armando Manduca, Proceeding of SPIE 2006;6143:61433I-1~10. 2006. [PDF]		2006PDF
267. High resolution magnetic resonance and cryo-imaging for morphological phenotyping
McKinley ET, Heinzel EM, Johnson DH, Roy D, Steyer GJ, Fei BW, Wilson DL. High resolution magnetic resonance and cryo-imaging for morphological phenotyping. The Biomedical Engineering Society Annual Meeting, Chicago, IL, October 11-14, 2006. 2006. [PDF]		2006PDF
268. Molecular imaging for improved detection of gynecologic cancer – image registration and fusion visualization
Greer M, Azar N, Faulhber PP, Fei BW (Corresponding author). Molecular imaging for improved detection of gynecologic cancer – image registration and fusion visualization. The Biomedical Engineering Society Annual Meeting, Chicago, IL, October 11-14, 2006. 2006. 		2006
269. Accurate lumen identification, detection, and quantification in MR plaque volumes
Suri JS, Pappu V, Salvado O, Fei BW, Laxminarayan S, Zhang S, Lewin JS, Duerk JL, Wilson DL. "Accurate lumen identification, detection, and quantification in MR plaque volumes." In Handbook of Biomedical Image Analysis: Volume II: Segmentation Models, edited by Jasjit S. Suri, David L. Wilson, Swamy Laxminarayan, 451-530. New York, NY: Kluwer Academic/Plenum Publishers, 2005. 		2005
270. Future of image registration
Suri JS, Fei BW, Wilson DL, Laxminarayan S, Lo CH, Guo Y, Lu CC, Tung CH. "Future of image registration." In Handbook of Biomedical Image Analysis: Volume III: Registration Models, edited by Jasjit S. Suri, David L. Wilson, Swamy Laxminarayan, 535-554. New York, NY: Kluwer Academic/Plenum Publishers, 2005. 		2005
271. Image Registration and Fusion for Interventional MRI-Guided Treatment of Prostate Cancer
Fei BW, Wilson DL. "Image Registration and Fusion for Interventional MRI-Guided Treatment of Prostate Cancer." In Medical Imaging Systems Technology - Methods in General Anatomy, edited by Cornelius T. Leondes, 285-310. Hackensack, NJ: World Scientific Publishing Co., 2005. 		2005
272. Image segmentation, registration and visualization of serial MR images for therapeutic assessment of polycystic kidney disease in transgenic mice
Fei BW (Corresponding author), Flask C, Wang H, Pi A, Wilson D, Shillingford J, Murcia N, Weimbs T, Duerk J. Image segmentation, registration and visualization of serial MR images for therapeutic assessment of polycystic kidney disease in transgenic mice. Proceedings of IEEE Engineering in Medicine and Biology Society 2005; 1:467-9. PubMed PMID:17282217. 2005. [PDF]		2005PDF
273. Multimodality molecular imaging for potential applications of image-guided treatment for prostate cancer: thermal ablation and photodynamic therapy
Fei BW, Duerk JL, Wilson DL, Oleinick NL. Multimodality molecular imaging for potential applications of image-guided treatment for prostate cancer: thermal ablation and photodynamic therapy. The 3rd International Public Conference of the AdMeTech Foundation, US Congress, Washington DC, October 27-29, 2005. 2005. 		2005
274. Semiautomatic nonrigid registration for the prostate and pelvic MR volumes
Fei BW (Corresponding author), Duerk JL, Sodee DB, Wilson DL. Semiautomatic nonrigid registration for the prostate and pelvic MR volumes.Academic Radiology 2005; 12:815-824. 2005. [PDF]		2005PDF
275. Three-dimensional rigid and non-rigid image registration for the pelvis and prostate
Fei BW, Suri JS, Wilson DL. "Three-dimensional rigid and non-rigid image registration for the pelvis and prostate." In Handbook of Biomedical Image Analysis: Volume III: Registration Models,edited by Jasjit S. Suri, David L. Wilson, Swamy Laxminarayan, 103-150. New York, NY: Kluwer Academic/Plenum Publishers, 2005. 		2005
276. Three-dimensional volume registration of carotid MR images
Fei BW, Suri JS, Wilson DL. "Three-dimensional volume registration of carotid MR images." In Plaque Imaging: Pixel to Molecular Level, edited by Jasjit S. Suri, Chun Yuan, David L. Wilson, Swamy Laxminarayan, 294-411. Fairfax, VA: IOS Press, Inc., 2005. 		2005
277. Three-dimensional volume registration of carotid MR images
Fei BW (Corresponding author), Suri JS, Wilson DL. Three-dimensional volume registration of carotid MR images. Studies in Health Technology and Informatics 2005; 113:394-411. 2005. 		2005
278. Registration and fusion of SPECT, high-resolution MRI, and interventional MRI for thermal ablation of the prostate cancer
Fei BW, Lee Z, Duerk JL, Lewin JS, Sodee DB, Wilson DL. Registration and fusion of SPECT, high-resolution MRI, and interventional MRI for thermal ablation of the prostate cancer. IEEE Transactions on Nuclear Science 2004; 51:177-183. 2004. [PDF]		2004PDF
279. Registration of micro-PET and high-resolution MR images of mice for monitoring photodynamic therapy
Fei BW, Muzic RF, Lee Z, Flask CA, Morris RL, Duerk JL, Oleinick NL, and Wilson DL. Registration of micro-PET and high-resolution MR images of mice for monitoring photodynamic therapy. SPIE Medical Imaging: Physiology, Function, and Structure from Medical Images, Edited by Amir A. Amini, Armando Manduca, Proceedings of SPIE – The International Society for Optical Engineering 2004;5369:371-379. 2004. [PDF]		2004PDF
280. Rotational effect on ROI’s for accurate lumen quantification in bifurcated MR plaque volumes
Suri JS, Pappu V, Salvado O, Fei BW, Zhang S; Lewin JS, Duerk, JL, Wilson DL. Rotational effect on ROI’s for accurate lumen quantification in bifurcated MR plaque volumes. Proceedings of 17th IEEE Symposium on Computer-Based Medical Systems, Proceedings of IEEE 2004; 414- 418. 2004. [PDF]		2004PDF
281. A comparative study of warping and rigid body registration for the prostate and pelvic MR volumes
Fei BW, Kemper C, Wilson DL. A comparative study of warping and rigid body registration for the prostate and pelvic MR volumes. Computerized Medical Imaging and Graphics 2003; 27:267-281. 2003. [PDF]		2003PDF
282. An efficient multiscale approach to level set evolution
Zhang H, Bian Z, Guo Y, Fei BW, Ye M, An efficient multiscale approach to level set evolution. The 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Proceedings of IEEE 2003;1:694- 697. 2003. [PDF]		2003PDF
283. Automatic registration and fusion of high resolution micro-CT and lung perfusion SPECT images of the rat
Fei BW, Wietholt C, Clough AV, Dawson CA, Wilson DL. Automatic registration and fusion of high resolution micro-CT and lung perfusion SPECT images of the rat. The 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Proceedings of IEEE 2003;1:592-594. 2003. [PDF]		2003PDF
284. Failures of GUI tests on different computer platforms
White LJ, Fei BW. Failures of GUI tests on different computer platforms. The 14th IEEE International Symposium on Software Reliability Engineering, Denver, Colorado Nov 17-20, 2003, Published by Chillarege Press. 2003. [PDF]		2003PDF
285. Image registration and fusion for interventional MRI-guided thermal ablation of the prostate cancer
Fei BW, Lee Z, Boll DT, Duerk JL, Lewin JS, Wilson DL. Image registration and fusion for interventional MRI-guided thermal ablation of the prostate cancer. The Sixth Annual International Conference on Medical Imaging Computing & Computer Assisted Intervention. Lecture Notes in Computer Science (LNCS) 2003;2879:364-372, Springer-Verlag Berlin Heidelberg. 2003. [PDF]		2003PDF
286. Image registration for interventional MRI-guided procedures: similarity measurements, interpolation methods, and applications to the prostate
Fei BW, Lee Z, Duerk JL, Wilson DL. Image registration for interventional MRI-guided procedures: similarity measurements, interpolation methods, and applications to the prostate. The Second International Workshop on Biomedical Image Registration, Philadelphia, PA, June 23-24, 2003, Lecture Notes in Computer Science (LNCS) 2003; 2717:321-329, Springer-Verlag Berlin Heidelberg. 2003. [PDF]		2003PDF
287. Registration algorithms for interventional MRI-guided treatment of the prostate
Fei BW, Frinkley K, Wilson DL. Registration algorithms for interventional MRI-guided treatment of the prostate. SPIE Medical Imaging: Visualization, Display, and Image-Guided Procedures, Edited by Robert L. Galloway, Proceedings of SPIE – The International Society for Optical Engineering 2003;5029:192-201. 2003. [PDF]		2003PDF
288. Slice-to-volume registration and its potential application to interventional MRI-guided radio-frequency thermal ablation of prostate cancer
Fei BW, Duerk JL, Boll DT, Lewin JS, Wilson DL. Slice-to-volume registration and its potential application to interventional MRI-guided radio-frequency thermal ablation of prostate cancer. IEEE Transaction on Medical Imaging 2003; 22:515-525. 2003. [PDF]		2003PDF
289. Three-dimensional automatic volume registration of carotid MR images
Fei BW, Zhang S, Salvado O, Suri JS, Lewin JS, Wilson DL. Three-dimensional automatic volume registration of carotid MR images. The 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Proceedings of IEEE 2003;1:646-648. ( 2003. [PDF]		2003PDF
290. Automatic 3D registration for interventional MRI-guided treatment of prostate cancer
Fei BW, Duerk JL, Wilson DL. Automatic 3D registration for interventional MRI-guided treatment of prostate cancer. Computer Aided Surgery 2002; 7:257-267. 2002. [PDF]		2002PDF
291. Automatic MR volume registration and its evaluation for the pelvis and prostate
Fei BW, Wheaton A, Lee Z, Duerk JL, Wilson DL. Automatic MR volume registration and its evaluation for the pelvis and prostate. Physics in Medicine and Biology 2002; 47:823-838. 2002. [PDF]		2002PDF
292. Image registration for interventional MRI-guided minimally invasive treatment of prostate cancer
Fei BW, Boll DT, Duerk JL, Wilson DL. Image registration for interventional MRI-guided minimally invasive treatment of prostate cancer. The Second Joint Conference of the Annual Fall Meeting of the Biomedical Engineering Society and the IEEE EMBS/BMES Conference, Proceedings of IEEE 2002; 2:1185. 2002. [PDF]		2002PDF
293. Three-dimensional warping registration of the pelvis and prostate
Fei BW, Kemper C, Wilson DL. Three-dimensional warping registration of the pelvis and prostate. SPIE Medical Imaging: Image Processing, Edited by Milan Sonka, J. Michael Fitzpatrick, Proceedings of SPIE – The International Society for Optical Engineering 2002;4684:528-537. 2002. [PDF]		2002PDF
294. Registration of MR images of the prostate
Fei BW, Wheaton A, Lee Z, Duerk JL, Wilson DL. Registration of MR Images of the Prostate. Submitted to IEEE Transactions on Medical Imaging (2001). 2001. 		2001
295. Robust registration method for interventional MRI-guided thermal ablation of prostate cancer
Fei BW, Wheaton A, Lee Z, Nagano K, Duerk JL, Wilson DL. Robust registration method for interventional MRI-guided thermal ablation of prostate cancer. SPIE Medical Imaging 2001: Visualization, Display, and Image-Guided Procedures, Edited by Seong Kim Mum, Proceedings of SPIE – The International Society for Optical Engineering 2001;4319:53-60. 2001. [PDF]		2001PDF
296. The safety issues of medical robotics
Fei BW, Ng WS, Chauhan S, Kwoh CK. The safety issues of medical robotics. Reliability Engineering and System Safety 2001; 73:183-192. 2001. [PDF]		2001PDF
297. The hazard identification and safety insurance control (HISIC) for medical robot
Fei BW, Ng WS, Kwoh CK. The hazard identification and safety insurance control (HISIC) for medical robot. The 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Proceedings of IEEE 2000;4:3022-3026. 2000. [PDF]		2000PDF
298. The image intensifier (II) distortion calibration method in X-ray localization for total hip replacement (THR)
Fei BW, Ng WS, Kwoh CK. The image intensifier (II) distortion calibration method in X-ray localization for total hip replacement (THR). The 17th Symposium for Computer Applications in Radiology, Section A – Digital Imaging, Philadelphia, PA, June 3-6, 2000. 2000. 		2000
299. The software design for a medical robot for urological applications
Fei BW, Kwoh CK, Ng WS. The software design for a medical robot for urological applications. The First Joint Conference of the 21stAnnual Conference of IEEE BMES/EMBS and the Annual Fall Meeting of the Biomedical Engineering Society, Proceedings of IEEE1999:2:896. 1999. [PDF]		1999PDF
300. X-ray localization technique for total hip replacement operation in augmented reality for therapy (ART)
Fei BW, Ng WS, Kwoh CK. X-ray localization technique for total hip replacement operation in augmented reality for therapy (ART). The First Joint Conference of the 21st Annual Conference of IEEE BMES/EMBS and the Annual Fall Meeting of the Biomedical Engineering Society, Proceedings of IEEE 1999;1:649. 1999. [PDF]		1999PDF
301. Frameless intracranial localization method based on digital subtraction angiography
Fei BW, Zhuang T, Hu J, Zhou FM. Frameless intracranial localization method based on digital subtraction angiography. Journal of Shanghai Jiao Tong University 1998; 32:130-133. 1998. 		1998
302. Frameless stereotactic localization and multimodal image registration using DSA/CT/MRI
Fei BW, Zhuang T, Hu J, Zhou F. Frameless stereotactic localization and multimodal image registration using DSA/CT/MRI. The 20thAnnual International Conference of the IEEE Engineering in Medicine and Biology Society, Proceedings of IEEE 1998;2:683-685. 1998. [PDF]		1998PDF
303. The development and application of medical robot and computer assisted surgery
Fei BW, Zhuang T. The development and application of medical robot and computer assisted surgery.Beijing Biomedical Engineering 1998; 17:49-54. 1998. 		1998
304. The method and development of computer-assisted surgery
Fei BW, Zhuang T. The method and development of computer-assisted surgery. Journal of Biomedical Engineering 1998; 15:195-202. 1998. 		1998
305. A method for detecting QRS waves
Fei BW, Zhuang T, Bian Z, Cheng J.A method for detecting QRS waves.Beijing Biomedical Engineering 1997; 16:11-17. 1997. 		1997
306. Computer-assisted surgery and its localization methods
Fei BW, Zhuang T. Computer-assisted surgery and its localization methods. Foreign Medical Science 1997; 20:199-204. 1997. 		1997
307. The ambiguity function properties of continuous random phase- modulated signal and its application in medical ultrasonic imaging
Fei BW, Zhuang T, Bian Z, Cheng J. The ambiguity function properties of continuous random phase- modulated signal and its application in medical ultrasonic imaging. Technical Acoustics 1997; 16:80-82. 1997. 		1997
308. The study of a frameless stereotactic localization method using DSA
Fei BW, Zhuang T. The study of a frameless stereotactic localization method using DSA. Chinese Journal of Medical Instrumentation1997; 21:207-210. 1997. 		1997
309. An effective digital filter for ECG
Fei BW, Zhuang T, Bian Z, Cheng J. An effective digital filter for ECG. Chinese Journal of Medical Instrumentation 1996; 19:262-266. 1996. 		1996
310. Design of a multi-parameter monitoring system for patients
Fei BW, Cheng J. Design of a multi-parameter monitoring system for patients.Beijing Biomedical Engineering 1996; 15:133-137. 1996. 		1996
311. ECG synchronization in pulse oximetry
Ni X, Fei BW, Cheng J. ECG synchronization in pulse oximetry. Journal of Biomedical Engineering 1996; 13:313-316. 1996. 		1996
312. Development of multi-parameters central monitoring system
Cao P, Fei BW. Development of multi-parameters central monitoring system. Shandong Biomedical Engineering 1994; 13:58-61. 1994. 		1994
313. Numerical coding of phased-array in intelligent phased-array ultrasonic tomography
Fei BW, Wang B, Bian Z, Cheng J. Numerical coding of phased-array in intelligent phased-array ultrasonic tomography. Journal of Biomedical Engineering 1993; 10:336-340. 1993. 		1993
314. The effect of the delay distribution in phased-array ultrasonic diagnostic imaging
Fei BW, Wang B, Bian Z, Cheng J. The effect of the delay distribution in phased-array ultrasonic diagnostic imaging. Technical Acoustics1993; 12:24-29. 1993. 		1993