
Detection of head and neck cancer in surgical specimens using quantitative hyperspectral imaging
/in Hyperspectral ImagingLu 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.
Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging
/in Hyperspectral Imaging, Image-guided InterventionFei 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.
Deep learning-based classification for head and neck cancer detection with hyperspectral imaging in an animal model
/in Hyperspectral Imaging, Preclinical ImagingMa 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.
Deep convolutional neural networks for classifying head and neck cancer using hyperspectral imaging
/in Hyperspectral ImagingHalicek, 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.
Framework for hyperspectral image processing and quantification for cancer detection during animal tumor surgery
/in Hyperspectral ImagingLu G, Wang D, Qin X, Halig L, Muller S, Zhang H, Chen A, Pogue BW, Chen ZG, Fei BW (Corresponding author). Framework for hyperspectral image processing and quantification for cancer detection during animal tumor surgery. Journal of Biomedical Optics 2015; 20:126012.
Quantitative wavelength analysis and image classification for intraoperative cancer diagnosis with hyperspectral imaging
/in Hyperspectral ImagingLu G, Qin X, Wang D, Chen ZG, Fei BW (Corresponding author). Quantitative wavelength analysis and image classification for intraoperative cancer diagnosis with hyperspectral imaging. Proceedings of SPIE – The International Society for Optical Engineering 2015; 9415: 94151B. PubMed PMID:26523083.
A minimum spanning forest based hyperspectral image classification method for cancerous tissue detection
/in Hyperspectral ImagingPike R, Patton SK, Lu G, Halig LV, Wang D, Chen ZG, Fei BW (Corresponding author). A minimum spanning forest based hyperspectral image classification method for cancerous tissue detection. Proceedings of SPIE – The International Society for Optical Engineering 2014; 9034:90341W. PubMed PMID:25426272.
Contact
Dr. Baowei Fei
Director, Center for Imaging and Surgical InnovationDirector, Quantitative Bioimaging Laboratory (QBIL)
Cecil & Ida Green Chair in Systems Biology Science
Professor of Bioengineering, UT Dallas
Professor of Radiology, UT Southwestern
Phone: (972) 883-7239
E-mail: bfei@utdallas.edu
Website: https://fei-lab.org/baowei-fei/