Georgia Tourassi Associate Laboratory Director Contact tourassig@ornl.gov | 865.574.6224 All Publications 2022 Operational Assessment - OLCF Deep learning uncertainty quantification for clinical text classification Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks... High-performance computing leadership to enable advances in artificial intelligence and a thriving compute ecosystem... Evaluation of pre-training large language models on leadership-class supercomputers Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic canc... 2021 Operational Assessment - OLCF... Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer ... 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 cance... Artificial intelligence in cancer research, diagnosis and therapy Quantifying Vulnerability of Privacy Attacks toward the MT-CNN models for Information Extraction from Cancer Pathology Report... Pharmacoepidemiology, Machine Learning and COVID-19: An intent-to-treat analysis of hydroxychloroquine, with or without azith... Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles... Limitations of Transformers on Clinical Text Classification Multimodal Data Representation with Deep Learning for Extracting Cancer Characteristics from Clinical Text... Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports... COOPERATIVE RESEARCH AND DEVELOPMENT AGREEMENT WITH GEORGETOWN UNIVERSITY REPORT... Knowledge Graph-Enabled Cancer Data Analytics... US Department of Energy, Office of Science High Performance Computing Facility Operational Assessment 2019 Oak Ridge Leadersh... Using Case-Level Context to Classify Cancer Pathology Reports... Privacy-Preserving Deep Learning NLP Models for Cancer Registries... Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional... Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts... Adversarial Training for Privacy-Preserving Deep Learning Model Distribution... Pagination Current page 1 Page 2 Page 3 … Next page ›› Last page Last » Key Links Curriculum Vitae ORCID Organizations Computing and Computational Sciences Directorate National Center for Computational Sciences National Center for Computational Sciences Oak Ridge Leadership Computing Facility User Facilities Oak Ridge Leadership Computing Facility
