Fei, Baowei
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Professor Baowei Fei holds the Cecil H. amd Ida Green Chair in Systems Biology Science. He is also the Principal Investigator of the Quantitative BioImaging Laboratory. Fei's work "has transformed medical imaging and intervention for cancer care." His research interests include:
- Biomedical and Digital Imaging
- Image-Guided Interventions, including surgery, therapy, biopsy amd drug delivery
- Machine Learning and Artificial Intelligence
- Multimodality Imaging, including hyperspectral, MRI, PET, CT and ultrasound.
- Virtual, Augmented and Mixed Realities for biomedical and clinical applications
- Quantitative Imaging
- Translational Imaging
- Cancer Research, particularly of the prostate, head and neck, breast, pancreas, and brain
- Cardiovascular Diseases
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Recent Submissions
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Deep Learning-Based Three-Dimensional Segmentation of the Prostate on Computed Tomography Images
(SPIE, 2019)Segmentation of the prostate in computed tomography (CT) is used for planning and guidance of prostate treatment procedures. However, due to the low soft-tissue contrast of the images, manual delineation of the prostate ... -
Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor Using Hyperspectral Images of Human Brain
The main goal of brain cancer surgery is to perform an accurate resection of the tumor, preserving as much normal brain tissue as possible for the patient. The development of a non-contact and label-free method to provide ... -
Optical Biopsy of Head and Neck Cancer Using Hyperspectral Imaging and Convolutional Neural Networks
For patients undergoing surgical cancer resection of squamous cell carcinoma (SCCa), cancer-free surgical margins are essential for good prognosis. We developed a method to use hyperspectral imaging (HSI), a noncontact ...
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