Andrew Srisuwananukorn

Years Active: 2022-2023
Publications (10 Years): 3

This page only lists publications with an associated author ORCID identifier.

Publications

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 F Khramtsova, Marina Chiara Garassino, Aliya N Husain, Huihua Li, Robert L Grossman, Nicole A Cipriani, Alexander T Pearson
Deep learning generates synthetic cancer histology for explainability and education. NPJ precision oncology 7 (1) (2023)
Frederick M Howard, James M Dolezal, Sara Kochanny, Galina F Khramtsova, Jasmine Vickery, Andrew Srisuwananukorn, Anna Woodard, Nan Chen, Rita Nanda, Charles M Perou, Olufunmilayo I Olopade, Dezheng Huo, Alexander T Pearson
Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence. NPJ breast cancer 9 (1) (2023)
James M Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Brittany Cody, Aaron S Mansfield, Sagar Rakshit, Radhika Bansal, Melanie C Bois, Aaron O Bungum, Jefree J Schulte, Everett E Vokes, Marina Chiara Garassino, Aliya N Husain, Alexander T Pearson
Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology. Nature communications 13 (1) (2022)

Andrew Srisuwananukorn.css-eqlu8i{font-size:small;padding-left:4px;}