Dmitry Karpeyev

According to our database, Dmitry Karpeyev authored at least 3 papers between 2015 and 2022.

Collaborative distances:

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

2022

Deep Learning Generates Synthetic Cancer Histology for Explainability and Education.

James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon, Frederick M. Howard, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Jung Woo Kwon, Meghana Agni, Richard C. Simon, Chandni Desai, Raghad Kherallah, Tung D. Nguyen, Jefree J. Schulte, Kimberly Cole, Galina Khramtsova, Marina Chiara Garassino, Aliya N. Husain, Huihua Li, Robert Grossman, Nicole A. Cipriani, Alexander T. Pearson

CoRR, 2022

Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology.

James M. Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Brittany Cody, Aaron Mansfield, Sagar Rakshit, Radhika Bansa, Melanie Bois, Aaron O. Bungum, Jefree J. Schulte, Everett E. Vokes, Marina Chiara Garassino, Aliya N. Husain, Alexander T. Pearson

CoRR, 2022

2015

Porting Ordinary Applications to Blue Gene/Q Supercomputers.

Ketan Maheshwari, Justin M. Wozniak, Timothy G. Armstrong, Daniel S. Katz, T. Andrew Binkowski, Xiaoliang Zhong, Olle Heinonen, Dmitry Karpeyev, Michael Wilde

Proceedings of the 11th IEEE International Conference on e-Science, 2015