Georgia Tourassi Associate Laboratory Director Contact TOURASSIG@ORNL.GOV All Publications 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 neural networks Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts... Adversarial Training for Privacy-Preserving Deep Learning Model Distribution Classifying Cancer Pathology Reports with Hierarchical Self-Attention Networks... Extraction of Tumor Site from Cancer Pathology Reports using Deep Filters Extraction of Tumor Site from Cancer Pathology Reports using Deep Filters Computationally Efficient Learning of Quality Controlled Word Embeddings for Natural Language Processing Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data 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 Semi-Supervised Information Extraction for Cancer Pathology Reports Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks Computer-aided detection using non-convolutional neural network Gaussian processes... Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction Scalable Deep Text Comprehension for Cancer Surveillance on High-performance Computing CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules Hierarchical Convolutional Attention Networks for Text Classification 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 Pagination First page « First Previous page ‹â¶Ä¹ Page 1 Current page 2 Page 3 … Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae Organizations Computing and Computational Sciences Directorate National Center for Computational Sciences National Center for Computational Sciences Oak Ridge Leadership Computing Facility User Facilities
