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,

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.

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.

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).

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.

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.

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.

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.

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).

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.