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.

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.

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.

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.

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.

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.

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.