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.

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.

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.

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.

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.

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.

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.

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.

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.

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.