Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolution neural networks

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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.

Feasibility and initial results: Fluciclovine PET/Ultrasound fusion targeted biopsy of recurrent prostate cancer

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Fei BW, Abiodun-Ojo OA, Akintayo AA, Akin-Akintayo O, Tade F, Nieh PT, Master VA, Alemozaffar M, Osunkoya AO, Goodman MM. Feasibility and initial results: Fluciclovine PET/Ultrasound fusion targeted biopsy of recurrent prostate cancer. The Journal of Urology;202(2):413-421.

Fully automated brain tumor segmentation and survival prediction of gliomas using deep learning and MRI

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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

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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 for cancer detection and image-guided surgery

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Fei BW. Hyperspectral imaging for cancer detection and image-guided surgery. SPIE Photonics West – Design and Quality for Biomedical Technologies XII.

Hyperspectral imaging of head and neck squamous cell carcinoma for cancer margin detection in surgical specimens from 102 patients using deep learning

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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

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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).

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

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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.

Phase asymmetry ultrasound despeckling with fractional anisotropic diffusion and total variation

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Mei K, Hu B, Fei BW, Qin B. Phase asymmetry ultrasound despeckling with fractional anisotropic diffusion and total variation. IEEE Transactions on Image Processing (2019); 29: 2845-2859.

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

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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.