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
12/25/2023
Ge Wang’s 1st ChatGPT App “ChatGe” for an Undergraduate Medical Imaging Course in Spring, 2024, OpenAI
07/20/2023
Christopher Wiedeman Wins the 1st Place in the 2023 AAPM Deep Generative Modeling Challenge, AAPM
07/01/2023
Yongyi Shi Wins the Best Poster Award for 17th Fully3D Conference, Fully3D
06/15/2023
Artificial Biological Intelligence Could Play a Key Role, RPI News
09/27/2023
Future of AI is Wide, Deep, and Large, RPI News
05/15/2023
Commentary on “Development of Metaverse for Intelligent Healthcare” by Wang G et al., Nature Machine Intelligence
12/01/2022
Mengzhou Li Wins the Best Paper Award in the SPIE CT Conference, SPIE
11/01/2022
Wang et. al. Publish Perspective on Healthcare Metaverse, RPI News
10/01/2022
Mengzhou Li Eecieves the Founder’s Award of Excellence, RPI
08/01/2022
Ge Wang Recieves the 2022 SPIE Meinel Technology Achievement Award, SPIE
04/03/2020
RPI:
ECSE PhD Student Christopher Wiedeman Awarded NSF Graduate Research Fellowship, ECSE News
01/30/2020
Freeman T:
Book “Machine learning for tomographic imaging” by Wang G et al., Physics World
12/03/2019
Wells T:
Ge Wang Named a Fellow of the National Academy of Inventors, RENSSELAER NEWS
12/03/2019
Free T:
Ge Wang and Margarida Barroso on the HOTGEM Imaging Technology for Breast Cancer, BioTechniques
10/17/2019
ABC News10:
Innovative Breast Cancer Research Takes Place at RPI, New 10
10/16/2019
Lally N:
Local Researchers Developing New Technology to Aid in Breast Cancer Treatment, News 10
10/02/2019
Stackhouse T:
Looking Forward as RPI Leads Innovative Cancer Research, Spectrum News
07/12/2019
Burkholder S:
Low-Dose Radiation CT Scans Could be Improved by Machine Learning, PENN BIOENGINEERING BLOG
06/10/2019
NIH/NIBIB Science Highlight:
Artificial intelligence Enables Low-dose CT Scans, NIH
06/10/2019
Ridley EL:
AI Converts Low-dose CT Scans to High-quality Studies, AuntMinnie
04/16/2019
O’Connor M:
New Roadmap Outlines 5 Research Priorities for AI in Radiology, Health Imaging
04/19/2019
Bell R:
National Experts Chart Roadmap for AI in Medical Imaging, The Mount Vernon Grapevine
04/18/2019
NIH/NIBIB:
National Experts Chart Roadmap for AI in Medical Imaging, NIH
03/04/2019
Stephens M:
A Learning Revolution, Physics World
08/01/2018
Dineley J:
Tackling the Silent Crisis in Cancer Care, 2018 Nobel Laureate Meeting
03/06/2017
Carron I:
Perspective on Deep Learning, Nuit Blanche
11/25/2014
Mullaney M:
Rensselaer Professors Berman, Garde, and Ge Selected as AAAS Fellows, RPI News