| Correction of current transformer distorted secondary currents due to saturation using artificial neural networks DC Yu, JC Cummins, Z Wang, HJ Yoon, LA Kojovic IEEE Transactions on Power delivery 16 (2), 189-194, 2001 | 169 | 2001 |
| Hierarchical attention networks for information extraction from cancer pathology reports S Gao, MT Young, JX Qiu, HJ Yoon, JB Christian, PA Fearn, GD Tourassi, ... Journal of the American Medical Informatics Association 25 (3), 321-330, 2018 | 155 | 2018 |
| Deep learning for automated extraction of primary sites from cancer pathology reports JX Qiu, HJ Yoon, PA Fearn, GD Tourassi IEEE journal of biomedical and health informatics 22 (1), 244-251, 2017 | 143 | 2017 |
| Limitations of transformers on clinical text classification S Gao, M Alawad, MT Young, J Gounley, N Schaefferkoetter, HJ Yoon, ... IEEE journal of biomedical and health informatics 25 (9), 3596-3607, 2021 | 128 | 2021 |
| Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks M Alawad, S Gao, JX Qiu, HJ Yoon, J Blair Christian, L Penberthy, ... Journal of the American Medical Informatics Association 27 (1), 89-98, 2020 | 86 | 2020 |
| Current trends of artificial intelligence for colorectal cancer pathology image analysis: a systematic review N Thakur, H Yoon, Y Chong Cancers 12 (7), 1884, 2020 | 70 | 2020 |
| Neural network for current transformer saturation correction DC Yu, JC Cummins, Z Wang, HJ Yoon, LA Kojovic, D Stone 1999 IEEE Transmission and Distribution Conference (Cat. No. 99CH36333) 1 …, 1999 | 58 | 1999 |
| Evaluating computer‐aided detection algorithms H Jun Yoon, B Zheng, B Sahiner, DP Chakraborty Medical physics 34 (6Part1), 2024-2038, 2007 | 57 | 2007 |
| Classifying cancer pathology reports with hierarchical self-attention networks S Gao, JX Qiu, M Alawad, JD Hinkle, N Schaefferkoetter, HJ Yoon, ... Artificial intelligence in medicine 101, 101726, 2019 | 54 | 2019 |
| Tumor identification in colorectal histology images using a convolutional neural network H Yoon, J Lee, JE Oh, HR Kim, S Lee, HJ Chang, DK Sohn Journal of digital imaging 32, 131-140, 2019 | 53 | 2019 |
| Analysis of online social networks to understand information sharing behaviors through social cognitive theory HJ Yoon, G Tourassi Proceedings of the 2014 Biomedical Sciences and Engineering Conference, 1-4, 2014 | 47 | 2014 |
| Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types K De Angeli, S Gao, I Danciu, EB Durbin, XC Wu, A Stroup, J Doherty, ... Journal of biomedical informatics 125, 103957, 2022 | 44 | 2022 |
| Privacy-preserving deep learning NLP models for cancer registries M Alawad, HJ Yoon, S Gao, B Mumphrey, XC Wu, EB Durbin, JC Jeong, ... IEEE transactions on emerging topics in computing 9 (3), 1219-1230, 2020 | 41 | 2020 |
| A user-oriented web crawler for selectively acquiring online content in e-health research S Xu, HJ Yoon, G Tourassi Bioinformatics 30 (1), 104-114, 2014 | 39 | 2014 |
| Multi-task deep neural networks for automated extraction of primary site and laterality information from cancer pathology reports HJ Yoon, A Ramanathan, G Tourassi Advances in Big Data: Proceedings of the 2nd INNS Conference on Big Data …, 2017 | 38 | 2017 |
| Spatial localization accuracy of radiologists in free-response studies: inferring perceptual FROC curves from mark-rating data D Chakraborty, HJ Yoon, C Mello-Thoms Academic radiology 14 (1), 4-18, 2007 | 38 | 2007 |
| Deep active learning for classifying cancer pathology reports K De Angeli, S Gao, M Alawad, HJ Yoon, N Schaefferkoetter, XC Wu, ... BMC bioinformatics 22, 1-25, 2021 | 32 | 2021 |
| Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports M Alawad, HJ Yoon, GD Tourassi 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018 | 31 | 2018 |
| Gaze as a biometric HJ Yoon, TR Carmichael, G Tourassi Medical Imaging 2014: Image Perception, Observer Performance, and Technology …, 2014 | 29 | 2014 |
| Cardinal multiridgelet-based prostate cancer histological image classification for Gleason grading HJ Yoon, CC Li, C Christudass, R Veltri, JI Epstein, Z Zhang 2011 IEEE International Conference on Bioinformatics and Biomedicine, 315-320, 2011 | 29 | 2011 |
