Hong-Jun Yoon
Orcid: 0000-0002-5450-5878
According to our database1,
Hong-Jun Yoon
authored at least 47 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
J. Biomed. Informatics, January, 2024
2023
Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023
Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2023
2022
A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification.
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.
J. Biomed. Informatics, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Emerg. Top. Comput., 2021
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports.
J. Biomed. Informatics, 2020
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.
J. Am. Medical Informatics Assoc., 2020
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020
2019
Artif. Intell. Medicine, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports.
IEEE J. Biomed. Health Informatics, 2018
Hierarchical attention networks for information extraction from cancer pathology reports.
J. Am. Medical Informatics Assoc., 2018
Scalable deep text comprehension for Cancer surveillance on high-performance computing.
BMC Bioinform., 2018
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology.
Proceedings of the Augmented Cognition. Neurocognition and Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Automated histologic grading from free-text pathology reports using graph-of-words features and machine learning.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
A novel web informatics approach for automated surveillance of cancer mortality trends.
J. Biomed. Informatics, 2016
The utility of web mining for epidemiological research: studying the association between parity and cancer risk.
J. Am. Medical Informatics Assoc., 2016
Shapelet analysis of pupil dilation for modeling visuo-cognitive behavior in screening mammography.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports.
Proceedings of the Advances in Big Data, 2016
Predicting lung cancer incidence from air pollution exposures using shapelet-based time series analysis.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015
2014
A user-oriented web crawler for selectively acquiring online content in e-health research.
Bioinform., 2014
Extracting Patient Demographics and Personal Medical Information from Online Health Forums.
Proceedings of the AMIA 2014, 2014
2011
Cardinal Multiridgelet-based Prostate Cancer Histological Image Classification for Gleason Grading.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011
2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006