Rate My Professor Baowei Fei

Fei's research centers on biomedical imaging and computing, artificial intelligence and machine learning for quantitative imaging, image-guided interventions such as surgery, biopsy, and drug delivery, and multimodality techniques including hyperspectral, MRI, PET, CT, and ultrasound imaging. His contributions include developing hyperspectral imaging for head and neck cancer detection in over 200 patients—the world's first such study—and leading the NIH-funded first-in-human clinical trial of PET/ultrasound fusion targeted biopsy, enhancing prostate cancer detection. He has published over 200 peer-reviewed papers, including the 2020 Editor’s Choice article “Deep learning-based framework for in vivo identification of glioblastoma tumor using hyperspectral images of human brain” in Sensors. Fei serves as Associate Editor of Medical Physics, editorial board member for Journal of Biomedical Optics and four other journals, and has chaired multiple NIH study sections and the SPIE Medical Imaging conference (2017–2020). His honors include Fellowships from AIMBE and SPIE (2019), Distinguished Investigator Award (2013), Young Investigator Award (2009), UT Dallas Faculty Research Award (2022), and principal investigator roles on over 20 grants from NIH, DOD, CPRIT, and others, including active NIH R01 and CPRIT awards, driving clinical translation and impacting cancer care.