Ge Wang

Full Professor, Biomedical Engineering, Rensselaer Polytechnic Institute

Joined

July 2019

Names

Ge Wang

Emails

****@rpi.edu (Confirmed)

Personal Links

Career & Education History

Full Professor

Biomedical Engineering, Rensselaer Polytechnic Institute (rpi.edu)

2013 – Present

Advisors, Relations & Conflicts

PhD Advisor

Ping-Chin Cheng

1989 – 1992

Expertise

Education

2020 – Present

2009 – Present

Multimodality imaging

1999 – Present

Computed tomography

1989 – Present

Publications

Disease-informed adaptation of vision-language models
Jiajin Zhang, Ge Wang, Mannudeep K Kalra, Pingkun Yan
- OpenReview Archive Direct Upload
- Readers: Everyone
Structurally-sensitive multi-scale deep neural network for low-dose CT denoising
Chenyu You, Qingsong Yang, Hongming Shan, Lars Gjesteby, Guang Li, Shenghong Ju, Zhuiyang Zhang, Zhen Zhao, Yi Zhang, Wenxiang Cong, Ge Wang
- 15 Mar 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)
Chenyu You, Guang Li, Yi Zhang, Xiaoliu Zhang, Hongming Shan, Mengzhou Li, Shenghong Ju, Zhen Zhao, Zhuiyang Zhang, Wenxiang Cong, Michael Vannier, Punam Saha, Eric Hoffman, Ge Wang
- 15 Mar 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Variable Discretization for Self-Supervised Learning
Chuang Niu, Wenjun Xia, Ge Wang
- Published: 04 Mar 2023, Last Modified: 16 May 2023
- ME-FoMo 2023 Poster
- Readers: Everyone
Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography
Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
- 02 Nov 2022 (modified: 02 Nov 2022)
- OpenReview Archive Direct Upload
- Readers: Everyone
Multi-Segmental Informational Coding for Self-Supervised Representation Learning
Chuang Niu, Ge Wang
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone

Co-Authors

View all 27 co-authors

Ge Wang

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Disease-informed adaptation of vision-language models

Structurally-sensitive multi-scale deep neural network for low-dose CT denoising

CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)

Variable Discretization for Self-Supervised Learning

Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography

Multi-Segmental Informational Coding for Self-Supervised Representation Learning

Co-Authors