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Hong‐Jun Yoon

united states department of energy (doe)

19H-index
108Paper Count
1.6KCitation Count
Published Papers 17
Publication Date
Development of message passing-based graph convolutional networks for classifying cancer pathology reports
err2024-09-17
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errOAAI
errYoon, Hong-Jun; Klasky, Hilda B.; Blanchard, Andrew E.; Christian, J. Blair; Durbin, Eric B.; Wu, Xiao-Cheng; Stroup, Antoinette; Doherty, Jennifer; Coyle, Linda; Penberthy, Lynne; Tourassi, Georgia D.
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Deep learning uncertainty quantification for clinical text classification
err2024-01-01
err1
errOAAI
errPeluso, Alina; Danciu, Ioana; Yoon, Hong-Jun; Yusof, Jamaludin Mohd; Bhattacharya, Tanmoy; Spannaus, Adam; Schaefferkoetter, Noah; Durbin, Eric B.; Wu, Xiao-Cheng; Stroup, Antoinette; Doherty, Jennifer; Schwartz, Stephen; Wiggins, Charles; Coyle, Linda; Penberthy, Lynne; Tourassi, Georgia D.; Gao, Shang
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Quantitative Measurement of Pneumothorax Using Artificial Intelligence Management Model and Clinical Application
err2022-07-29
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errOAAI
errKim, Dohun; Lee, Jae-Hyeok; Kim, Si-Wook; Hong, Jong-Myeon; Kim, Sung-Jin; Song, Minji; Choi, Jong-Mun; Lee, Sun-Yeop; Yoon, Hongjun; Yoo, Jin-Young
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A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification
err2022-06-01
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errOAAI
errBlanchard, Andrew E.; Gao, Shang; Yoon, Hong-Jun; Christian, J. Blair; Durbin, Eric B.; Wu, Xiao-Cheng; Stroup, Antoinette; Doherty, Jennifer; Schwartz, Stephen M.; Wiggins, Charles; Coyle, Linda; Penberthy, Lynne; Tourassi, Georgia D.
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Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types
err2022-01-01
err25
errOAAI
errDe Angeli, Kevin; Gao, Shang; Danciu, Ioana; Durbin, Eric B.; Wu, Xiao-Cheng; Stroup, Antoinette; Doherty, Jennifer; Schwartz, Stephen; Wiggins, Charles; Damesyn, Mark; Coyle, Linda; Penberthy, Lynne; Tourassi, Georgia D.; Yoon, Hong-Jun
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Limitations of Transformers on Clinical Text Classification
err2021-09-01
err75
errOAAI
errGao, Shang; Alawad, Mohammed; Young, M. Todd; Gounley, John; Schaefferkoetter, Noah; Yoon, Hong Jun; Wu, Xiao-Cheng; Durbin, Eric B.; Doherty, Jennifer; Stroup, Antoinette; Coyle, Linda; Tourassi, Georgia
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Privacy-Preserving Deep Learning NLP Models for Cancer Registries
err2021-07-01
err20
errOAAI
errAlawad, Mohammed; Yoon, Hong-Jun; Gao, Shang; Mumphrey, Brent; Wu, Xiao-Cheng; Durbin, Eric B.; Jeong, Jong Cheol; Hands, Isaac; Rust, David; Coyle, Linda; Penberthy, Lynne; Tourassi, Georgia
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Classifying cancer pathology reports with hierarchical self-attention networks
err2019-11-01
err35
errOAAI
errGao, Shang; Qiu, John X.; Alawad, Mohammed; Hinkle, Jacob D.; Schaefferkoetter, Noah; Yoon, Hong-Jun; Christian, Blair; Fearn, Paul A.; Penberthy, Lynne; Wu, Xiao-Cheng; Coyle, Linda; Tourassi, Georgia; Ramanathan, Arvind
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Fractal analysis of visual search activity for mass detection during mammographic screening
err2017-02-21
err14
errOAAI
errAlamudun, Folami; Yoon, Hong-Jun; Hudson, Kathleen B.; Morin-Ducote, Garnetta; Hammond, Tracy; Tourassi, Georgia D.
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Application of Threshold-bias Independent Analysis to Eye-tracking and FROC Data
err2012-12-01
err3
errOAAI
errChakraborty, Dev P.; Yoon, Hong-Jun; Mello-Thoms, Claudia
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Correlation of free-response and receiver-operating-characteristic area-under-the-curve estimates: Results from independently conducted FROC/ROC studies in mammography
err2012-09-11
err12
errOAAI
errZanca, Federica; Hillis, Stephen L.; Claus, Filip; Van Ongeval, Chantal; Cells, Valerie; Provoost, Veerle; Yoon, Hong-Jun; Bosmans, Hilde
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