Surgical aid visualization system for glioblastoma tumor identification based on deep learning and in-vivo hyperspectral images of human patients

Linte CA, 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.

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.

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.

A semiautomatic segmentation method for the prostate in magnetic resonance images using local texture classification and statistical shape modeling

Shahedi M, Halicek M, Liu L, Zhang Z, Schuster DM, Fei BW (Corresponding author). A semiautomatic segmentation method for the prostate in magnetic resonance images using local texture classification and statistical shape modeling. The Annual Meeting of the Biomedical Engineering Society.

A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics

Shahedi M, Ma L, Halicek M, Guo R, Zhang G, Schuster DM, Nieh P, Master VA, Fei BW (Corresponding author). A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics. Proceedings of SPIE: The Internation Society for Optical Engineering;10576.

A semiautomatic segmentation method for the prostate in magnetic resonance images using local texture classification and statistical shape modeling

Shahedi M, Halicek M, Liu L, Zhang Z, Schuster DM, Fei BW (Corresponding author). A semiautomatic segmentation method for the prostate in magnetic resonance images using local texture classification and statistical shape modeling. Medical Physics;45(6):2527-2541.

Automated detection of squamous cell carcinoma from head and neck cancer patients in digitized whole-slide histological images using deep learning

Halicek M, Shahedi M, Wang X, Little JV, Patel M, Griffith CC, El-Diery MW, Chen AY, Fei BW (Corresponding author). Automated detection of squamous cell carcinoma from head and neck cancer patients in digitized whole-slide histological images using deep learning. The Annual Meeting of the Biomedical Engineering Society.

Optical biopsy of head and neck cancer using hyperspectral imaging and convolution neural networks

Halicek M, Little JV, Wang X, Patel M, Griffith CC, El-Diery MW, Chen AY, Fei BW (Corresponding author). Optical biopsy of head and neck cancer using hyperspectral imaging and convolution neural networks. Proceedings of SPIE: The Internation Society for Optical Engineering;10469.

Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks

Halicek M, Little JV, Wang X, Patel M, Griffith CC, Chen AY, Fei BW (Corresponding author). Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks. Proceedings of SPIE: The International Society for Optical Engineering;10576.

Heart chamber segmentation from CT using convolutional neural networks

Dormer JD, Ma L, Halicek M, Reilly CM, Schreibmann E, Fei BW (Corresponding author). Heart chamber segmentation from CT using convolutional neural networks. Proceedings of SPIE: The International Society for Optical Engineering;10578.