Project Title:
Machine/Deep Learning, Computer Vision, Numerical Optimization, Medical Imaging
These researchers work at the intersection of machine/deep learning, computer vision, numerical optimization, and medical imaging. Their current focus is to build computational and theoretical foundations for deep learning, as well as applying deep learning to solve difficult scientific, engineering, and medical problems in physics, scientific imaging, and medical imaging. The group's projects often entail processing of massive amount of images or texts, and hence large-scale computation is an intrinsic part.
Research by this group was featured on the MSI website in:
- April 2023: Using Artificial Intelligence to Detect Liver Cancer
- May 2022: Machine Learning on Agate
Project Investigators
Chongwei Chen
Tiancong Chen
Jiandong Chen
Ryan Devera
Chuan He
Chen Jiang
Guanchen Li
Taihui Li
Hengyue Liang
Leon Luo
Le Peng
Sean Schweiger
Professor Ju Sun
Birra Taha
Kshitij Tayal
Yash Travadi
Shridhar Vashishtha
Yuxiang Wan
Hengkang Wang
Wenjie Zhang
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