Eric B. Durbin

According to our database, Eric B. Durbin authored at least 19 papers between 2017 and 2024.

Collaborative distances:

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

2024

Deep learning uncertainty quantification for clinical text classification.

Alina Peluso, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd-Yusof, Tanmoy Bhattacharya, Adam Spannaus, Noah Schaefferkoetter, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Shang Gao

J. Biomed. Informatics, January, 2024

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, Carlee Burton, Amir A. Elbiheary, Mingguang Chang, Eric B. Durbin

BMC Bioinform., December, 2022

A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification.

Andrew E. Blanchard, Shang Gao, 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, Georgia D. Tourassi

IEEE J. Biomed. Health Informatics, 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, Ioana Danciu, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Mark Damesyn, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Hong-Jun Yoon

J. Biomed. Informatics, 2022

DeepPhe: Natural Language Processing Tools for Cancer Research and Surveillance.

Harry Hochheiser, Sean Finan, Zhou Yuan, John Levander, Eric B. Durbin, Isaac Hands, Ramakanth Kavuluru, Jeremy L. Warner, Guergana Savova

Proceedings of the AMIA 2022, 2022

2021

Limitations of Transformers on Clinical Text Classification.

Shang Gao, 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

Privacy-Preserving Deep Learning NLP Models for Cancer Registries.

Mohammed M. Alawad, Hong-Jun Yoon, Shang Gao, 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

Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping.

Mohammed M. Alawad, Shang Gao, 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

Deep active learning for classifying cancer pathology reports.

Kevin De Angeli, Shang Gao, 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

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

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

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

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

BMC Medical Informatics Decis. Mak., 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, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Linda Coyle, Lynne Penberthy, James Blair Christian, Georgia D. Tourassi

J. Biomed. Informatics, 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, Linda Coyle, Lynne Penberthy, Benjamin McMahon, Tanmoy Bhattacharya

CoRR, 2020

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

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020

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

Adversarial Training for Privacy-Preserving Deep Learning Model Distribution.

Mohammed M. Alawad, Shang Gao, Xiao-Cheng Wu, Eric B. Durbin, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports.

Mohammed M. Alawad, Shang Gao, 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, Georgia D. Tourassi

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2017

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

Proceedings of the AMIA 2017, 2017