Hong-Jun Yoon

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 43

Top Topics

Information Extraction

Text Classification

Confocal Microscopy

Top Venues

J. Biomed. Informatics

J. Am. Medical Informatics Assoc.

Publications

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
Deep learning uncertainty quantification for clinical text classification. J. Biomed. Informatics 149 (2024)
Hong-Jun Yoon, Chris Keum, Alexander Witkowski, Joanna Ludzik, Tracy Petrie, Heidi A. Hanson, Sancy A. Leachman
Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy. CoRR (2024)
Huanhuan Zhao, Haihua Chen, Hong-Jun Yoon
Enhancing Text Classification Models with Generative AI-aided Data Augmentation. AITest (2023)
Aristeidis Tsaris, Joshua Romero, Thorsten Kurth, Jacob D. Hinkle, Hong-Jun Yoon, Feiyi Wang, Sajal Dash, Georgia D. Tourassi
Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks. PASC (2023)
Xiao Wang, Isaac Lyngaas, Aristeidis Tsaris, Peng Chen, Sajal Dash, Mayanka Chandra Shekar, Tao Luo, Hong-Jun Yoon, Mohamed Wahib, John Gounley
Ultra-Long Sequence Distributed Transformer. CoRR (2023)
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 (2022)
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
A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Priscilla Cho, Sajal Dash, Aristeidis Tsaris, Hong-Jun Yoon
Image transformers for classifying acute lymphoblastic leukemia. Medical Imaging: Computer-Aided Diagnosis (2022)
Folami Alamudun, Jacob D. Hinkle, Sajal Dash, Benjamín Hernández, Aristeidis Tsaris, Hong-Jun Yoon
Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification. Big Data (2022)
Sajal Dash, Benjamín Hernández, Aristeidis Tsaris, Folami T. Alamudun, Hong-Jun Yoon, Feivi Wang
A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems. IPDPS Workshops (2022)
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
Privacy-Preserving Deep Learning NLP Models for Cancer Registries. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
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
Deep active learning for classifying cancer pathology reports. BMC Bioinform. 22 (1) (2021)
Jeremy Logan, Greeshma A. Agasthya, Heidi Hanson, Matthew Wolf, Heechan Lee, Shaheen Dewji, Hong-Jun Yoon, Anuj J. Kapadia
Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse. IEEE BigData (2021)
Priscilla Cho, Hong-Jun Yoon
Evaluation of U-net-based image segmentation model to digital mammography. Medical Imaging: Image Processing (2021)
Srikanth B. Yoginath, Mathieu Doucet, Debsindhu Bhowmik, David Heise, Folami Alamudun, Hong-Jun Yoon, Christopher Stanley
Secure Collaborative Environment for Seamless Sharing of Scientific Knowledge. SMC (2021)
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
Limitations of Transformers on Clinical Text Classification. IEEE J. Biomed. Health Informatics 25 (9) (2021)
Peter F. Michael, Hong-Jun Yoon
Survey of image denoising methods for medical image classification. Medical Imaging: Computer-Aided Diagnosis (2020)
Hong-Jun Yoon, Hilda B. Klasky, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Linda Coyle, Lynne Penberthy, Christopher Stanley, James Blair Christian, Georgia D. Tourassi
Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles. Poly/DMAH@VLDB (2020)
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
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. J. Biomed. Informatics 110 (2020)
Mohammed M. Alawad, Shang Gao, John X. Qiu, Hong-Jun Yoon, James Blair Christian, Lynne Penberthy, Brent J. Mumphrey, Xiao-Cheng Wu, Linda Coyle, Georgia D. Tourassi
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks. J. Am. Medical Informatics Assoc. 27 (1) (2020)
Hong-Jun Yoon, John Gounley, Shang Gao, Mohammed M. Alawad, Arvind Ramanathan, Georgia D. Tourassi
Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC. BHI (2019)
Devanshu Agrawal, Hong-Jun Yoon, Georgia D. Tourassi, Jacob D. Hinkle
Computer-aided detection using non-convolutional neural network Gaussian processes. Medical Imaging: Computer-Aided Diagnosis (2019)
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
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. BHI (2019)
Hong-Jun Yoon, John X. Qiu, James Blair Christian, Jacob D. Hinkle, Folami Alamudun, Georgia D. Tourassi
Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks. INNSBDDL (2019)
Shang Gao, John X. Qiu, Mohammed M. Alawad, Jacob D. Hinkle, Noah Schaefferkoetter, Hong-Jun Yoon, James Blair Christian, Paul A. Fearn, Lynne Penberthy, Xiao-Cheng Wu, Linda Coyle, Georgia D. Tourassi, Arvind Ramanathan
Classifying cancer pathology reports with hierarchical self-attention networks. Artif. Intell. Medicine 101 (2019)
John X. Qiu, Shang Gao, Mohammed M. Alawad, Noah Schaefferkoetter, Folami Alamudun, Hong-Jun Yoon, Xiao-Cheng Wu, Georgia D. Tourassi
Semi-Supervised Information Extraction for Cancer Pathology Reports. BHI (2019)
Hong-Jun Yoon, John Gounley, M. Todd Young, Georgia D. Tourassi
Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts. IEEE BigData (2019)
Abhishek Kumar Dubey, Hong-Jun Yoon, Georgia D. Tourassi
Inverse Regression for Extraction of Tumor Site from Cancer Pathology Reports. BHI (2019)
John X. Qiu, Hong-Jun Yoon, Paul A. Fearn, Georgia D. Tourassi
Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports. IEEE J. Biomed. Health Informatics 22 (1) (2018)
Shang Gao, Michael T. Young, John X. Qiu, Hong-Jun Yoon, James Blair Christian, Paul A. Fearn, Georgia D. Tourassi, Arvind Ramanathan
Hierarchical attention networks for information extraction from cancer pathology reports. J. Am. Medical Informatics Assoc. 25 (3) (2018)
Hong-Jun Yoon, Sarah Robinson, James Blair Christian, John X. Qiu, Georgia D. Tourassi
Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension. BHI (2018)
Mohammed M. Alawad, Hong-Jun Yoon, Georgia D. Tourassi
Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports. BHI (2018)
Hong-Jun Yoon, Arvind Ramanathan, Folami Alamudun, Georgia D. Tourassi
Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer. IWBI (2018)
John X. Qiu, Hong-Jun Yoon, Kshitij Srivastava, Thomas P. Watson, James Blair Christian, Arvind Ramanathan, Xiao-Cheng Wu, Paul A. Fearn, Georgia D. Tourassi
Scalable deep text comprehension for Cancer surveillance on high-performance computing. BMC Bioinform. (18) (2018)
Mohammed M. Alawad, Hong-Jun Yoon, Georgia D. Tourassi
Energy efficient stochastic-based deep spiking neural networks for sparse datasets. IEEE BigData (2017)
Folami T. Alamudun, Tracy Hammond, Hong-Jun Yoon, Georgia D. Tourassi
Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology. HCI (14) (2017)
Hong-Jun Yoon, Larry Roberts, Georgia D. Tourassi
Automated histologic grading from free-text pathology reports using graph-of-words features and machine learning. BHI (2017)
Hong-Jun Yoon, Songhua Xu, Georgia D. Tourassi
Predicting lung cancer incidence from air pollution exposures using shapelet-based time series analysis. BHI (2016)
Hong-Jun Yoon, Arvind Ramanathan, Georgia D. Tourassi
Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports. INNS Conference on Big Data (2016)
Georgia D. Tourassi, Hong-Jun Yoon, Songhua Xu
A novel web informatics approach for automated surveillance of cancer mortality trends. J. Biomed. Informatics 61 (2016)
Hong-Jun Yoon, Georgia D. Tourassi
Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics. BHI (2016)
Georgia D. Tourassi, Hong-Jun Yoon, Songhua Xu, Xuesong Han
The utility of web mining for epidemiological research: studying the association between parity and cancer risk. J. Am. Medical Informatics Assoc. 23 (3) (2016)
Folami Alamudun, Hong-Jun Yoon, Tracy Hammond, Kathy Hudson, Garnetta Morin-Ducote, Georgia D. Tourassi
Shapelet analysis of pupil dilation for modeling visuo-cognitive behavior in screening mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Hong-Jun Yoon, Georgia D. Tourassi, Songhua Xu
Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources. SBP (2015)
Songhua Xu, Hong-Jun Yoon, Georgia D. Tourassi
A user-oriented web crawler for selectively acquiring online content in e-health research. Bioinform. 30 (1) (2014)
Yang Liu, Songhua Xu, Hong-Jun Yoon, Georgia D. Tourassi
Extracting Patient Demographics and Personal Medical Information from Online Health Forums. AMIA (2014)
Hong-Jun Yoon, Ching-Chung Li, Christhunesa Christudass, Robert Veltri, Jonathan I. Epstein, Zhen Zhang
Cardinal Multiridgelet-based Prostate Cancer Histological Image Classification for Gleason Grading. BIBM (2011)
Dev P. Chakraborty, Hong-Jun Yoon
A maximum likelihood method for estimating the parameters of a search model. ISBI (2006)