James M. Dolezal

The impact of site-specific digital histology signatures on deep learning model accuracy and bias

Frederick M. Howard, James M. Dolezal, Sara Kochanny et al. · Nature Communications · 2021 · 258 citations · Full text

Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology

James M. Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev et al. · Nature Communications · 2022 · 111 citations · Full text

Diagnostic and prognostic implications of ribosomal protein transcript expression patterns in human cancers

James M. Dolezal, Arie P. Dash, Edward V. Prochownik · BMC Cancer · 2018 · 93 citations · Full text

Coordinated Activities of Multiple Myc-dependent and Myc-independent Biosynthetic Pathways in Hepatoblastoma

Huabo Wang, Jie Lu, Lia R. Edmunds et al. · Journal of Biological Chemistry · 2016 · 64 citations · Full text

Deep learning generates synthetic cancer histology for explainability and education

James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon et al. · npj Precision Oncology · 2023 · 63 citations · Full text