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- Congrats Xi on winning the Runner Up of The NVIDIA Bench-to-Bedside Award at IPCAI 2024 - June 19, 2024
- Congrats Xinrui on winning the Cum Laude Poster Award in SPIE Medical Imaging - Image Processing - March 15, 2023
- Dr. Yan elected to the Board of Directors of MICCAI - February 1, 2023
- Congrats Jiajin on winning the 2022 Belsky Award for Computational Sciences and Engineering - January 3, 2023
- Congrats Xi for receiving the MICCAI 2022 Young Scientist Award - September 21, 2022
- Congrats Xinrui for being the runner-up for the Best Paper Award of Medical Image Analysis - September 21, 2022
- Dr. Yan Named the P.K. Lashmet Career Development Chair - August 22, 2022
- Congrats Xi for receiving MICCAI 2022 Student Travel Award! - June 20, 2022
- Guarding against adversarial machine learning - DELL Technologies, December 8, 2021
- Congrats Xinrui for being nominated for the MICCAI 2021 Young Investigator Award! - September 30, 2021
- Rensselaer Team Aims To Pave Way for Robust AI in Medical Imaging - July 21, 2021
- Dr. Yan receives NSF CAREER award! - July 9, 2021
- Congrats Xinrui for receiving MICCAI 2021 Student Travel Award! - June 24, 2021
- Detecting cancer and heart disease in a single low-dose CT scan with AI - May 28, 2021
- Deep Learning Enables Dual Screening for Cancer and Cardiovascular Disease - May 20, 2021
- Dr. Yan elected Senior Member of the National Academy of Inventors (NAI) - February 12, 2021
- Dr. Yan received the 2020 School of Engineering Research Excellence Award - February 10, 2021
- NIBIB Grantee News: Algorithm accurately predicts COVID-19 patient outcomes - November 24, 2020
- NIH Grant Supports Development of AI Tools To Identify High-Risk COVID-19 Patients - July 29, 2020
- Good news for Hengtao! Congratulations for receiving the Honorable Mention Award for poster at SPIE Medical Imaging 2020 - February 19, 2020
- New Technique Aims to Improve Imaging of Cells, RPI News, EurekAlert! by AAAS, LIIST Studio - November 13, 2019
- Improved Imaging Technique Could Increase Chances of Prostate Cancer Survival, RPI News - August 8, 2019
- Targeting Prostate Tumors With Better Precision, Everyday Matters - June 18, 2019
- Improved Imaging for Prostate Cancer Could Lead to More Effective Treatment, RPI News - May 20, 2019
- Improving Molecular Imaging using a Deep Learning Approach, RPI Engineering News, Phys.org - March 6, 2019
