Andrew D. Trister

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 3

Top Topics

Supervised Learning

Top Venues

npj Digit. Medicine

Publications

Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. CoRR (2022)
Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. CVPR (2022)
Elias Chaibub Neto, Abhishek Pratap, Thanneer M. Perumal, Meghasyam Tummalacherla, Phil Snyder, Brian M. Bot, Andrew D. Trister, Stephen H. Friend, Lara M. Mangravite, Larsson Omberg
Detecting the impact of subject characteristics on machine learning-based diagnostic applications. npj Digit. Medicine 2 (2019)