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.

Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women

Li QM, Dormer JD, Daryani P, Chen D, Zhang ZF, Fei BW, Hahn HK, Mori K. Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women. Proceedings of SPIE Medical Imaging 2019: Computer-Aided Diagnosis.

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.

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.

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, Linte CA. 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.

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 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).

Deep 3D convolutional neural networks for fast super-resolution ultrasound imaging

Brown K, Dormer JD, Fei BW, Hoyt K, Ruiter NV, Byram BC. Deep 3D convolutional neural networks for fast super-resolution ultrasound imaging. Proceedings of SPIE Medical Imaging 2019: Ultrasonic Imaging and Tomography.

18F-Fluciclovine parameters on targeted prostate biopsy associated with true positivity in recurrent prostate cancer

Abiodun-Ojo OA, Akintayo AA, Akin-Akintayo O, Tade FI, Nieh PT, Master VA, Alemozaffar M, Osunkoya AO, Goodman MM, Fei BW (Corresponding author). 18F-Fluciclovine parameters on targeted prostate biopsy associated with true positivity in recurrent prostate cancer. Journal of Nuclear Medicine.

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.