Leveraging Large-Scale Computing for Population Information Integration, Analysis, and Modeling. - Jessica A. Boten; Donna R. Rivera; Madhumita Myneni; Georgia D. Tourassi; Tanmoy Bhattacharya 001; Ana Paula de Oliveira Sales; Thomas S. Brettin; Paul A. Fearn; Lynne Penberthy (AMIA, 2017)

Adversarial Training for Privacy-Preserving Deep Learning Model Distribution. - Mohammed M. Alawad; Shang Gao 008; Xiao-Cheng Wu; Eric B. Durbin; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (IEEE BigData, 2019)

Classifying cancer pathology reports with hierarchical self-attention networks. - Shang Gao 008; John X. Qiu; Mohammed M. Alawad; Jacob D. Hinkle; Noah Schaefferkoetter; Hong-Jun Yoon; James Blair Christian; Paul A. Fearn; Lynne Penberthy; Xiao-Cheng Wu; Linda Coyle; Georgia D. Tourassi; et al. (Artif. Intell. Medicine, 2019)

Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles. - Hong-Jun Yoon; Hilda B. Klasky; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Linda Coyle; Lynne Penberthy; Christopher B. Stanley; James Blair Christian; Georgia D. Tourassi (Poly/DMAH@VLDB, 2020)

Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports. - Sayera Dhaubhadel; Jamaludin Mohd-Yusof; Kumkum Ganguly; Gopinath Chennupati; Sunil Thulasidasan; Nicolas W. Hengartner; Brent J. Mumphrey; Eric B. Durbin; Jennifer A. Doherty; Mireille Lemieux; Noah Schaefferkoetter; Georgia D. Tourassi; et al. (CoRR, 2020)

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks. - Mohammed M. Alawad; Shang Gao 008; John X. Qiu; Hong-Jun Yoon; James Blair Christian; Lynne Penberthy; Brent J. Mumphrey; Xiao-Cheng Wu; Linda Coyle; Georgia D. Tourassi (J. Am. Medical Informatics Assoc., 2020)

Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. - Hong-Jun Yoon; Hilda B. Klasky; John P. Gounley; Mohammed M. Alawad; Shang Gao 008; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Linda Coyle; Lynne Penberthy; James Blair Christian; et al. (J. Biomed. Informatics, 2020)

Deep active learning for classifying cancer pathology reports. - Kevin De Angeli; Shang Gao 008; Mohammed M. Alawad; Hong-Jun Yoon; Noah Schaefferkoetter; Xiao-Cheng Wu; Eric B. Durbin; Jennifer A. Doherty; Antoinette Stroup; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (BMC Bioinform., 2021)

Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping. - Mohammed M. Alawad; Shang Gao 008; Mayanka Chandra Shekar; S. M. Shamimul Hasan; James Blair Christian; Xiao-Cheng Wu; Eric B. Durbin; Jennifer A. Doherty; Antoinette Stroup; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (CoRR, 2021)

Privacy-Preserving Deep Learning NLP Models for Cancer Registries. - Mohammed M. Alawad; Hong-Jun Yoon; Shang Gao 008; Brent J. Mumphrey; Xiao-Cheng Wu; Eric B. Durbin; Jong Cheol Jeong; Isaac Hands; David Rust; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (IEEE Trans. Emerg. Top. Comput., 2021)

Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types. - Kevin De Angeli; Shang Gao 008; Ioana Danciu; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Stephen M. Schwartz; Charles Wiggins; Mark Damesyn; Linda Coyle; Lynne Penberthy; et al. (J. Biomed. Informatics, 2022)

A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification. - Andrew E. Blanchard; Shang Gao 008; Hong-Jun Yoon; James Blair Christian; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Stephen M. Schwartz; Charles Wiggins; Linda Coyle; Lynne Penberthy; et al. (IEEE J. Biomed. Health Informatics, 2022)

Topological Interpretability for Deep Learning. - Adam Spannaus; Heidi A. Hanson; Georgia D. Tourassi; Lynne Penberthy (PASC, 2024)

Deep learning uncertainty quantification for clinical text classification. - Alina Peluso; Ioana Danciu; Hong-Jun Yoon; Jamaludin Mohd-Yusof; Tanmoy Bhattacharya 001; Adam Spannaus; Noah Schaefferkoetter; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Stephen M. Schwartz; et al. (J. Biomed. Informatics, 2024)

Development of message passing-based graph convolutional networks for classifying cancer pathology reports. - Hong-Jun Yoon; Hilda B. Klasky; Andrew E. Blanchard; James Blair Christian; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (BMC Medical Informatics Decis. Mak., 2024)