Evaluation of the Surveillance, Epidemiology, and End Results Data Management System (SEER*DMS) to support the efforts in enhancing U.S cancer surveillance. - Marina Z. Matatova; Paul Fearn; Eric B. Durbin; Gary Levin; Frank J. Manion; Patrick Mergler (AMIA, 2017)

Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. - Mohammed M. Alawad; Shang Gao 008; John X. Qiu; Noah Schaefferkoetter; Jacob D. Hinkle; Hong-Jun Yoon; James Blair Christian; Xiao-Cheng Wu; Eric B. Durbin; Jong Cheol Jeong; Isaac Hands; David Rust; et al. (BHI, 2019)

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)

Cross-registry neural domain adaptation to extract mutational test results from pathology reports. - Anthony Rios; Eric B. Durbin; Isaac Hands; Susanne M. Arnold; Darshil Shah; Stephen M. Schwartz; Bernardo H. L. Goulart; Ramakanth Kavuluru (J. Biomed. Informatics, 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)

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)

Web-based interactive mapping from data dictionaries to ontologies, with an application to cancer registry. - Shiqiang Tao; Ningzhou Zeng; Isaac Hands; Joseph Hurt-Mueller; Eric B. Durbin; Licong Cui; Guo-Qiang Zhang 001 (BMC Medical Informatics Decis. Mak., 2020)

Knowledge Graph-Enabled Cancer Data Analytics. - S. M. Shamimul Hasan; Donna R. Rivera; Xiao-Cheng Wu; Eric B. Durbin; James Blair Christian; Georgia D. Tourassi (IEEE J. Biomed. Health Informatics, 2020)

Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization. - Anthony Rios; Eric B. Durbin; Isaac Hands; Ramakanth Kavuluru (BCB, 2021)

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)

Limitations of Transformers on Clinical Text Classification. - Shang Gao 008; Mohammed M. Alawad; M. Todd Young; John Gounley; Noah Schaefferkoetter; Hong-Jun Yoon; Xiao-Cheng Wu; Eric B. Durbin; Jennifer A. Doherty; Antoinette Stroup; Linda Coyle; Georgia D. Tourassi (IEEE J. Biomed. Health Informatics, 2021)

DeepPhe: Natural Language Processing Tools for Cancer Research and Surveillance. - Harry Hochheiser; Sean Finan; Zhou Yuan; John D. Levander; Eric B. Durbin; Isaac Hands; Ramakanth Kavuluru; Jeremy L. Warner; Guergana Savova (AMIA, 2022)

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)

Local data commons: the sleeping beauty in the community of data commons. - Jong Cheol Jeong; Isaac Hands; Jill M. Kolesar; Mahadev Rao; Bront Davis; York H. Dobyns; Joseph Hurt-Mueller; Justin Levens; Jenny Gregory; John Williams; Lisa Witt; Eun Mi Kim; et al. (BMC Bioinform., 2022)

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)

Global explainability of a deep abstaining classifier. - Sayera Dhaubhadel; Jamaludin Mohd-Yusof; Benjamin H. McMahon; Trilce Estrada; Kumkum Ganguly; Adam Spannaus; John P. Gounley; Xiao-Cheng Wu; Eric B. Durbin; Heidi A. Hanson; Tanmoy Bhattacharya 001 (CoRR, 2025)