Hong-Jun Yoon R&D Staff Member Contact YOONH@ORNL.GOV All Publications A Decision Support System to Compile Environmental Mitigations from Hydropower Licensing Documents Development of message passing-based graph convolutional networks for classifying cancer pathology reports... Improving Text Classification with Large Language Model-Based Data Augmentation Enhancing Diagnosis through AI-driven Analysis of Reflectance Confocal Microscopy HyperKube: A Kubernetes based system for the automation of processing and analysis of hyperspectral data obtained from multiple hyperspectral imaging systems Deep learning uncertainty quantification for clinical text classification Enhancing Text Classification Models with Generative AI-aided Data Augmentation Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks... A comparison of histopathology imaging comprehension algorithms based on multiple instance learning... Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic cancer pathology reports Automatic information extraction from childhood cancer pathology reports A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems Image transformers for classifying acute lymphoblastic leukemia Secure Collaborative Environment for Seamless Sharing of Scientific Knowledge CTSA MHRI Datasets VA EDH Data Curation Documentation – FY21, Rev. 2 Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse Quantifying Vulnerability of Privacy Attacks toward the MT-CNN models for Information Extraction from Cancer Pathology Reports Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles Evaluation of U-net-based Image Segmentation Model to Digital Mammography Limitations of Transformers on Clinical Text Classification Pagination Current page 1 Page 2 Page 3 Next page ›› Last page Last » Key Links Curriculum Vitae Google Scholar ORCID LinkedIn ORNL Media, APPL Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing in Health Sciences Section Scalable Biomedical Modeling Group
