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.

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 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, 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.

Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging

Halicek, M., Lu, GL., Little, JV., Wang, X., Patel, M., Griffith, CC., El-Deiry, MW., Chen, A., Fei, BW.(2017). “Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging.”Journal of Biomedical Optics 22(6): 4.

Deep learning-based classification for head and neck cancer detection with hyperspectral imaging in an animal model

Ma L, Lu G, Wang D, Wang X, Chen ZG, Fei BW. Deep learning-based classification for head and neck cancer detection with hyperspectral imaging in an animal model, Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101372G, March 13, 2017, Orlando, FL.

Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging

Fei BW, Lu G, Wang X, Zhang H, Little JV, Magliocca KR, Chen AY, Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging, Proc. SPIE 10054, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XV, 100540E, February 14, 2017, San Francisco, CA.

Detection of head and neck cancer in surgical specimens using quantitative hyperspectral imaging

*Lu G, Zhang H, Wang X, Little J, Magliocca K, Chen A, Fei BW (Corresponding author).“Detection of head and neck cancer in surgical specimens using quantitative hyperspectral imaging,” Clinical Cancer Research. 2017 Jun 13. pii: clincanres.0906.2017. doi: 10.1158/1078-0432.CCR-17-0906. [Epub ahead of print] PubMed PMID:28611203 (*Ph.D. Student) 2017.