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.
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.
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.
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.
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.
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.
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.
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.
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.
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.