AI-based X-ray Imaging System (AXIS) lab is led by Dr. Ge Wang and Dr. Chuang Niu in the Biomedical Imaging Center directed by Dr. Ge Wang and Dr. Pingkun Yan, affiliated with the Center for Biotechnology and Interdisciplinary Studies, the Center for Computational Innovations, and the Department of Biomedical Engineering, Rensselaer Polytechnic Institute.
Our focus is on medical imaging, with an emphasis on x-ray CT, multi-modality/multi-scale imaging, and deep reconstruction and analysis. We have been continuously funded by federal agencies and leading companies. Our world-class collaboration network includes industry leaders and top academic institutions such as GE Healthcare, MARS Bioimaging, FDA, SBU, JHU, Harvard, Stanford, Yale, MSK Cancer Center, Wake Forest, UMass Lowell, Albany Medical Center, HSS (Hospital for Special Surgery), and others. Together, we are developing theories, methods, software, systems, and workflows to shape the future of healthcare.
We are grateful for all collaborators and funding agencies especially National Institutes of Health, GE Healthcare, Nvidia, and Rensselaer Polytechnic Institute.
11/20/2024
Ge Wang appointed as the next Editor-in-Chief of IEEE Transactions on Medical Imaging, IEEE BMES
10/04/2024
Our students Christopher Wiedeman and Gloria Nwachukwu separately received the Founders Award of Excellence, RPI
08/19-22/2024
SPIE Conference on Developments in X-Ray Tomography XV, SPIE
07/18/2024
Our IEEE TRPMS paper selected for the 2024 Best Paper Award, IEEE TRPMS
05/10/2024
Ge Wang's Review on Best Deep Learning Textbook by Prince, Nature Machine Intelligence
03/30/2024
Poisson Flow Consistency Models for Low-dose CT, arXiv
02/13/2024
AI Denoising for X-ray and Nuclear Tomography, IEEE NPSS