July/2023
Christopher Wiedeman wins the 1st place in the 2023 AAPM Deep Generative Modeling for Learning Medical Image Statistics Challenge., AAPM
July/2023
Yongyi Shi receives poster award for 17th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D) conference., Fully3D
June/2023
Dr. Ge Wang states that artificial biological intelligence could play a key role in the future, RPI News
Dec/2022
Mengzhou Li wins Best Paper Award in SPIE CT conference 2022, SPIE
Nov/2022
Wang et. al. Publish Research in Nature Machine Intelligence Promoting the Metaverse Transformation of Health Care, RPI News
Oct/2022
Mengzhou Li to recieve prestigious Founder’s Award of Excellence award from RPI., RPI
August/2022
Ge Wang recieves 2022 SPIE Aden and Marjorie Meinel Technology Achievement Award, SPIE
04/03/2020
RPI:
ECSE PhD Student Christopher Wiedeman awarded NSF Graduate Research Fellowship, ECSE News
01/31/2020
Kreimer S:
“Virtual Biopsies” may soon make some invasive tests unnecessary, leapsmg
01/30/2020
Freeman T:
Machine learning for tomographic imaging, Physics World
01/14/2020
The Approach:
Ge Wang Co-Authors Book on Machine Learning for Tomographic Imaging, RPI News
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
09/18/2019
Wells T:
Integrated Imaging Technology Aims To Provide Real-Time Look at Cancer Treatment, RENSSELAER NEWS
07/12/2019
Burkholder S:
Low-Dose Radiation CT Scans Could Be Improved by Machine Learning, PENN BIOENGINEERING BLOG
06/25/2019
Donovan F:
Rensselaer Researchers Use Blockchain to Boost Medical Image Sharing, HIT Infrastructure
06/10/2019
Wells T:
Machine Learning Approach for Low-Dose CT Imaging Yields Superior Results, RENSSELAER NEWS
06/10/2019
NIH/NIBIB Science Highlight:
Artificial intelligence enables low-dose CT scans, faster scan time, 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, for the Nobel Laureate Meeting
09/06/2017
Keen CE:
The search for a dedicated cardiac CT scanner, MedicalPhysicsWeb
04/19/2017
Dineley J:
Interior tomography puts new spin on MRI-Linac, MedicalPhysicsWeb
03/06/2017
Carron I:
A perspective on deep learning, Nuit Blanche
02/22/2017
Randall I:
Neural networks reduce noise in low-dose CT, MedicalPhysicsWeb
07/27/2015
Otitigbe J:
How X-Rays See Through Your Skin, RENSSELAER NEWS
02/2015
Dineley J:
How to create a low-cost CT scanner. Focus on Medical Imaging, Physics World
11/25/2014
Mullaney M:
Rensselaer Professors Berman, Garde, and Ge selected as 2014 AAAS Fellows, RPI Academic News
11/11/2014
Dineley J:
Linear CT scanning lowers system costs, Physics World