Hyperspectral imaging in medical applications

Fei BW. Hyperspectral imaging in medical applications. Data Handling in Science and Technology; 32: 523-565. Elsevier,

Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth

Halicek M, Himar F, Ortega S, Little JV, Wang X, Chen AY, Callicó GM, Myers LL, Sumer BD, Fei BW (Corresponding author). Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth. Proceedings of SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling.

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).

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.

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.

Deformable registration of histological cancer margins to gross hyperspectral images using demons

Halicek M, Little JV, Wang X, Chen ZG, Patel M, Griffith CC, El-Diery MW, Sava NF, Chen AY, Fei BW (Corresponding author). Deformable registration of histological cancer margins to gross hyperspectral images using demons. Proceedings of SPIE: The International Society for Optical Engineering;10581.

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.