Andrew D. Trister

According to our database, Andrew D. Trister authored at least 4 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning.

Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2019

Detecting the impact of subject characteristics on machine learning-based diagnostic applications.

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

npj Digit. Medicine, 2019

2016

Report on the Cloud-Based Evaluation Approaches Workshop 2015.

Henning Müller, Jayashree Kalpathy-Cramer, Allan Hanbury, Keyvan Farahani, Rinat Sergeev, Jin H. Paik, Arno Klein, Antonio Criminisi, Andrew D. Trister, Thea Norman, David N. Kennedy, Ganapati Srinivasa, Artem Mamonov, Nina Preuss

SIGIR Forum, 2016

Personalized Hypothesis Tests for Detecting Medication Response in Parkinson Disease Patients Using iPhone Sensor Data.

Elias Chaibub Neto, Brian M. Bot, Thanneer M. Perumal, Larsson Omberg, Justin Guinney, Mike Kellen, Arno Klein, Stephen H. Friend, Andrew D. Trister

Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016