Hong-Jun Yoon R&D Staff Member Contact YOONH@ORNL.GOV All Publications Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports Privacy-Preserving Deep Learning NLP Models for Cancer Registries... Survey of Image Denoising Methods for Medical Image Classification Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts... Classifying Cancer Pathology Reports with Hierarchical Self-Attention Networks... Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports Semi-Supervised Information Extraction for Cancer Pathology Reports Inverse Regression for Extraction of Tumor Site from Cancer Pathology Reports Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks Computer-aided detection using non-convolutional neural network Gaussian processes... Scalable Deep Text Comprehension for Cancer Surveillance on High-performance Computing Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer Coarse-to-Fine Multi-Task Training of Convolutional Neural Networks for Automated Information Extraction from Cancer Pathology Reports Modeling sequential context effects in diagnostic interpretation of screening mammograms Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension Deep Gaze Velocity Analysis During Mammographic Reading for Biometric Identification of Radiologists Investigating Sociodemographic Disparities in Cancer Risk Using Web-Based Informatics Energy efficient stochastic-based deep spiking neural networks for sparse datasets Modeling sequential context effects in diagnostic interpretation of screening mammograms Energy Efficient Stochastic-Based Deep Spiking Neural Networks for Sparse Datasets Hierarchical attention networks for information extraction from cancer pathology reports... Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology Deep Learning for Automated Extraction of Primary Sites from Cancer Pathology Reports Pagination First page « First Previous page ‹‹ Page 1 Current 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
