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).

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.

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).

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.

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.

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.

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.

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.

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.