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Eric B. Durbin
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2020 – today
- 2024
- [j12]Alina Peluso
, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd-Yusof
Deep learning uncertainty quantification for clinical text classification. J. Biomed. Informatics 149: 104576 (2024) - [j11]Hong-Jun Yoon
Development of message passing-based graph convolutional networks for classifying cancer pathology reports. BMC Medical Informatics Decis. Mak. 24-S(5): 262 (2024) - 2022
- [j10]Jong Cheol Jeong
Local data commons: the sleeping beauty in the community of data commons. BMC Bioinform. 23-S(12): 368 (2022) - [j9]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:
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types. J. Biomed. Informatics 125: 103957 (2022) - [j8]Andrew E. Blanchard
A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification. IEEE J. Biomed. Health Informatics 26(6): 2796-2803 (2022) - [c6]Harry Hochheiser, Sean Finan, Zhou Yuan, John D. Levander, Eric B. Durbin, Isaac Hands, Ramakanth Kavuluru, Jeremy L. Warner, Guergana Savova:
DeepPhe: Natural Language Processing Tools for Cancer Research and Surveillance. AMIA 2022 - 2021
- [j7]Kevin De Angeli, Shang Gao
Deep active learning for classifying cancer pathology reports. BMC Bioinform. 22(1): 113 (2021) - [j6]Mohammed M. Alawad
Privacy-Preserving Deep Learning NLP Models for Cancer Registries. IEEE Trans. Emerg. Top. Comput. 9(3): 1219-1230 (2021) - [j5]Shang Gao
Limitations of Transformers on Clinical Text Classification. IEEE J. Biomed. Health Informatics 25(9): 3596-3607 (2021) - [c5]Anthony Rios, Eric B. Durbin, Isaac Hands, Ramakanth Kavuluru:
Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization. BCB 2021: 32:1-32:10 - [i2]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:
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping. CoRR abs/2101.01337 (2021) - 2020
- [j4]Hong-Jun Yoon, Hilda B. Klasky, John P. Gounley
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. J. Biomed. Informatics 110: 103564 (2020) - [j3]Shiqiang Tao, Ningzhou Zeng, Isaac Hands, Joseph Hurt-Mueller, Eric B. Durbin, Licong Cui, Guo-Qiang Zhang
Web-based interactive mapping from data dictionaries to ontologies, with an application to cancer registry. BMC Medical Informatics Decis. Mak. 20-S(10): 271 (2020) - [j2]S. M. Shamimul Hasan
Knowledge Graph-Enabled Cancer Data Analytics. IEEE J. Biomed. Health Informatics 24(7): 1952-1967 (2020) - [c4]Hong-Jun Yoon
Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles. Poly/DMAH@VLDB 2020: 87-99 - [i1]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:
Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports. CoRR abs/2009.05094 (2020)
2010 – 2019
- 2019
- [j1]Anthony Rios
Cross-registry neural domain adaptation to extract mutational test results from pathology reports. J. Biomed. Informatics 97 (2019) - [c3]Mohammed M. Alawad, Shang Gao, John X. Qiu, Noah Schaefferkoetter, Jacob D. Hinkle
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. BHI 2019: 1-4 - [c2]Mohammed M. Alawad
Adversarial Training for Privacy-Preserving Deep Learning Model Distribution. IEEE BigData 2019: 5705-5710 - 2017
- [c1]Marina Z. Matatova, Paul Fearn, Eric B. Durbin, Gary Levin, Frank J. Manion, Patrick Mergler:
Evaluation of the Surveillance, Epidemiology, and End Results Data Management System (SEER*DMS) to support the efforts in enhancing U.S cancer surveillance. AMIA 2017
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