Use of genetic algorithms for computer-aided diagnosis of breast cancers from image features. - Carey E. Floyd Jr.; Georgia D. Tourassi; Jay A. Baker (Image Processing, 1996)

An artificial neural network to predict mortality in patients who undergo percutaneous coronary interventions. - Georgia D. Tourassi; Nicholas P. Xenopoulos (ICNN, 1997)

A constraint satisfaction neural network for medical diagnosis. - Georgia D. Tourassi; Carey E. Floyd Jr.; Joseph Y. Lo (IJCNN, 1999)

Case-based reasoning as a computer aid to diagnosis. - Carey E. Floyd Jr.; Joseph Y. Lo; Georgia D. Tourassi (Image Processing, 1999)

Java interface to a computer-aided diagnosis system for acute pulmonary embolism using PIOPED findings. - Erik D. Frederick; Georgia D. Tourassi; Matthew Gauger; Carey E. Floyd Jr. (Image Processing, 1999)

Use of a constraint satisfaction neural network for breast cancer diagnosis and dynamic scenarios simulation. - Georgia D. Tourassi; Carey E. Floyd Jr.; Joseph Y. Lo (Image Processing, 2000)

Fractal Texture Analysis of Perfusion Lung Scans. - Georgia D. Tourassi; Erik D. Frederick; Neal F. Vittitoe; R. Edward Coleman (Comput. Biomed. Res., 2000)

Multifractal texture analysis of perfusion lung scans as a potential diagnostic tool for acute pulmonary embolism. - Georgia D. Tourassi; Erik D. Frederick; Carey E. Floyd Jr.; R. Edward Coleman (Comput. Biol. Medicine, 2001)

Cluster analysis of BI-RADS descriptions of biopsy-proven breast lesions. - Mia K. Markey; Joseph Y. Lo; Georgia D. Tourassi; Carey E. Floyd Jr. (Image Processing, 2002)

Perceptron error surface analysis: a case study in breast cancer diagnosis. - Mia K. Markey; Joseph Y. Lo; Rene Vargas-Voracek; Georgia D. Tourassi; Carey E. Floyd Jr. (Comput. Biol. Medicine, 2002)

Validation of a constraint satisfaction neural network for breast cancer disgnosis: new results from 1030 cases. - Georgia D. Tourassi; Joseph Y. Lo; Mia K. Markey (Image Processing, 2003)

Content-based image retrieval as a computer aid for the detection of mammographic masses. - Georgia D. Tourassi; Rene Vargas-Voracek; Carey E. Floyd Jr. (Image Processing, 2003)

Similarity metrics based on nonadditive entropies for 2D-3D multimodal biomedical image registration. - Mark P. Wachowiak; Renata Smolíkova; Georgia D. Tourassi; Adel Said Elmaghraby (Image Processing, 2003)

Self-organizing map for cluster analysis of a breast cancer database. - Mia K. Markey; Joseph Y. Lo; Georgia D. Tourassi; Carey E. Floyd Jr. (Artif. Intell. Medicine, 2003)

Unsupervised tissue segmentation in screening mammograms for automated breast density assessment. - H. Erin Rickard; Georgia D. Tourassi; Adel Said Elmaghraby (Image Processing, 2004)

Performance evaluation of an information-theoretic CAD scheme for the detection of mammographic architectural distortion. - Georgia D. Tourassi; Carey E. Floyd Jr. (Image Processing, 2004)

Computer-assisted diagnosis of mammographic masses using an information-theoretic image retrieval scheme with BIRADs-based relevance feedback. - Georgia D. Tourassi; Carey E. Floyd Jr. (Image Processing, 2004)

Adapted morphing model for 3D volume reconstruction applied to abdominal CT images. - Aleksey Fadeev; Nevine H. Eltonsy; Georgia D. Tourassi; Robert Martin; Adel Elmaghraby (Image-Guided Procedures, 2005)

DNA: directional neighborhood analysis for detection of breast masses in screening mammograms. - Nevine H. Eltonsy; Georgia D. Tourassi; Piotr A. Habas; Adel Said Elmaghraby (Image Processing, 2005)

A novel technique for assessing the case-specific reliability of decisions made by CAD tools. - Piotr A. Habas; Georgia D. Tourassi; Nevine H. Eltonsy; Adel Said Elmaghraby; Jacek M. Zurada (Image Processing, 2005)

Detection of architectural distortion in mammograms using fractal analysis. - Georgia D. Tourassi; Nevine H. Eltonsy; Adel Said Elmaghraby; Carey E. Floyd Jr. (Image Processing, 2005)

Automated detection of mammographic masses: preliminary assessment of an information-theoretic CAD scheme for reduction of false positives. - Georgia D. Tourassi; Nevine H. Eltonsy; Adel Said Elmaghraby; Carey E. Floyd Jr. (Image Processing, 2005)

Estimation of generalized entropies with sample spacing. - Mark P. Wachowiak; Renata Smolíkova; Georgia D. Tourassi; Adel Said Elmaghraby (Pattern Anal. Appl., 2005)

Significance of MPEG-7 Textural Features for Improved Mass Detection in Mammography. - Nevine H. Eltonsy; Georgia D. Tourassi; Aleksey Fadeev; Adel Said Elmaghraby (EMBC, 2006)

Probabilistic Framework for Reliability Analysis of Information-Theoretic CAD Systems in Mammography. - Piotr A. Habas; Jacek M. Zurada; Adel Said Elmaghraby; Georgia D. Tourassi (EMBC, 2006)

Confidence-based stratification of CAD recommendations with application to breast cancer detection. - Piotr A. Habas; Jacek M. Zurada; Adel Said Elmaghraby; Georgia D. Tourassi (Image Processing, 2006)

Impact of missing data in evaluating artificial neural networks trained on complete data. - Mia K. Markey; Georgia D. Tourassi; Michael Margolis; David M. DeLong (Comput. Biol. Medicine, 2006)

Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms. - Maciej A. Mazurowski; Piotr A. Habas; Georgia D. Tourassi; Jacek M. Zurada (IEEE Congress on Evolutionary Computation, 2007)

Bilateral Breast Volume Asymmetry in Screening Mammograms as a Potential Marker of Breast Cancer: Preliminary Experience. - Nevine H. Eltonsy; Adel Said Elmaghraby; Georgia D. Tourassi (ICIP (5), 2007)

Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis. - Maciej A. Mazurowski; Piotr A. Habas; Georgia D. Tourassi; Jacek M. Zurada (IJCNN, 2007)

Stacked Generalization in Computer-Assisted Decision Systems: Empirical Comparison of Data Handling Schemes. - Georgia D. Tourassi; Jonathan L. Jesneck; Maciej A. Mazurowski; Piotr A. Habas (IJCNN, 2007)

Contribution of Haar wavelets and MPEG-7 textural features for false positive reduction in a CAD system for the detection of masses in mammograms. - Nevine H. Eltonsy; Georgia D. Tourassi; Adel Said Elmaghraby (Computer-Aided Diagnosis, 2007)

Particle swarm optimization of neural network CAD systems with clinically relevant objectives. - Piotr A. Habas; Jacek M. Zurada; Adel Said Elmaghraby; Georgia D. Tourassi (Computer-Aided Diagnosis, 2007)

Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures. - Swatee Singh; Georgia D. Tourassi; Joseph Y. Lo (Computer-Aided Diagnosis, 2007)

Incorporation of a multiscale texture-based approach to mutual information matching for improved knowledge-based detection of masses in screening mammograms. - Georgia D. Tourassi; Anna O. Bilska-Wolak; Piotr A. Habas; Carey E. Floyd Jr. (Computer-Aided Diagnosis, 2007)

Cross-digitizer robustness of a knowledge-based CAD system for mass detection in mammograms. - Georgia D. Tourassi; Brian P. Harrawood; Carey E. Floyd Jr. (Computer-Aided Diagnosis, 2007)

A Concentric Morphology Model for the Detection of Masses in Mammography. - Nevine H. Eltonsy; Georgia D. Tourassi; Adel Said Elmaghraby (IEEE Trans. Medical Imaging, 2007)

Case-Specific Reliability Assessment for Improved False Positive Reduction with an Information-Theoretic CAD System. - Piotr A. Habas; Jacek M. Zurada; Georgia D. Tourassi (Digital Mammography / IWDM, 2008)

Reliability Assessment of Ensemble Classifiers: Application in Mammography. - Maciej A. Mazurowski; Jacek M. Zurada; Georgia D. Tourassi (Digital Mammography / IWDM, 2008)

Effect of Similarity Metrics and ROI Sizes in Featureless Computer Aided Detection of Breast Masses in Tomosynthesis. - Swatee Singh; Georgia D. Tourassi; Joseph Y. Lo (Digital Mammography / IWDM, 2008)

Knowledge Transfer across Breast Cancer Screening Modalities: A Pilot Study Using an Information-Theoretic CADe System for Mass Detection. - Georgia D. Tourassi; Amy C. Sharma; Swatee Singh; Robert S. Saunders; Joseph Y. Lo; Ehsan Samei; Brian P. Harrawood (Digital Mammography / IWDM, 2008)

Effect of ROI size on the performance of an information-theoretic CAD system in mammography: multi-size fusion analysis. - Robert C. Ike; Swatee Singh; Brian P. Harrawood; Georgia D. Tourassi (Computer-Aided Diagnosis, 2008)

Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection. - Maciej A. Mazurowski; Jacek M. Zurada; Georgia D. Tourassi (Computer-Aided Diagnosis, 2008)

Computer-aided detection of breast masses in tomosynthesis reconstructed volumes using information-theoretic similarity measures. - Swatee Singh; Georgia D. Tourassi; Amarpreet S. Chawla; Robert S. Saunders; Ehsan Samei; Joseph Y. Lo (Computer-Aided Diagnosis, 2008)

Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. - Maciej A. Mazurowski; Piotr A. Habas; Jacek M. Zurada; Joseph Y. Lo; Jay A. Baker; Georgia D. Tourassi (Neural Networks, 2008)

The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems. - Jordan M. Malof; Maciej A. Mazurowski; Georgia D. Tourassi (IJCNN, 2009)

Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy. - Maciej A. Mazurowski; Georgia D. Tourassi (IJCNN, 2009)

A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results. - Maciej A. Mazurowski; Jordan M. Malof; Jacek M. Zurada; Georgia D. Tourassi (Computer-Aided Diagnosis, 2009)

Relational representation for improved decisions with an information-theoretic CADe system: initial experience. - Maciej A. Mazurowski; Georgia D. Tourassi (Computer-Aided Diagnosis, 2009)

Information-theoretic CAD system in mammography: improved mass detection by incorporating a Gaussian saliency map. - Georgia D. Tourassi; Brian P. Harrawood (Computer-Aided Diagnosis, 2009)

Perception-driven IT-CADe analysis for the detection of masses in screening mammography: initial investigation. - Georgia D. Tourassi; Maciej A. Mazurowski; Elizabeth A. Krupinski (Computer-Aided Diagnosis, 2010)

Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis. - Maciej A. Mazurowski; Joseph Y. Lo; Brian P. Harrawood; Georgia D. Tourassi (J. Biomed. Informatics, 2011)

A novel local learning based approach with application to breast cancer diagnosis. - Songhua Xu; Georgia D. Tourassi (Computer-Aided Diagnosis, 2012)

The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support. - Jordan M. Malof; Maciej A. Mazurowski; Georgia D. Tourassi (Neural Networks, 2012)

Automated assessment of bilateral breast volume asymmetry as a breast cancer biomarker during mammographic screening. - Alex C. Williams; Austin Hitt; Sophie Voisin; Georgia D. Tourassi (Computer-Aided Diagnosis, 2013)

Research and applications: Investigating the link between radiologists' gaze, diagnostic decision, and image content. - Georgia D. Tourassi; Sophie Voisin; Vincent C. Paquit; Elizabeth A. Krupinski (J. Am. Medical Informatics Assoc., 2013)

Extracting Patient Demographics and Personal Medical Information from Online Health Forums. - Yang Liu 046; Songhua Xu; Hong-Jun Yoon; Georgia D. Tourassi (AMIA, 2014)

A user-oriented web crawler for selectively acquiring online content in e-health research. - Songhua Xu; Hong-Jun Yoon; Georgia D. Tourassi (Bioinform., 2014)

Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment. - Yang Liu 046; Songhua Xu; Georgia D. Tourassi (SBP, 2015)

Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources. - Hong-Jun Yoon; Georgia D. Tourassi; Songhua Xu (SBP, 2015)

Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics. - Hong-Jun Yoon; Georgia D. Tourassi (BHI, 2016)

Predicting lung cancer incidence from air pollution exposures using shapelet-based time series analysis. - Hong-Jun Yoon; Songhua Xu; Georgia D. Tourassi (BHI, 2016)

Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports. - Hong-Jun Yoon; Arvind Ramanathan; Georgia D. Tourassi (INNS Conference on Big Data, 2016)

Shapelet analysis of pupil dilation for modeling visuo-cognitive behavior in screening mammography. - Folami Alamudun; Hong-Jun Yoon; Tracy Hammond; Kathy Hudson; Garnetta Morin-Ducote; Georgia D. Tourassi (Image Perception, Observer Performance, and Technology Assessment, 2016)

The utility of web mining for epidemiological research: studying the association between parity and cancer risk. - Georgia D. Tourassi; Hong-Jun Yoon; Songhua Xu; Xuesong Han (J. Am. Medical Informatics Assoc., 2016)

A novel web informatics approach for automated surveillance of cancer mortality trends. - Georgia D. Tourassi; Hong-Jun Yoon; Songhua Xu (J. Biomed. Informatics, 2016)

Leveraging Large-Scale Computing for Population Information Integration, Analysis, and Modeling. - Jessica A. Boten; Donna R. Rivera; Madhumita Myneni; Georgia D. Tourassi; Tanmoy Bhattacharya 001; Ana Paula de Oliveira Sales; Thomas S. Brettin; Paul A. Fearn; Lynne Penberthy (AMIA, 2017)

Automated histologic grading from free-text pathology reports using graph-of-words features and machine learning. - Hong-Jun Yoon; Larry Roberts; Georgia D. Tourassi (BHI, 2017)

Energy efficient stochastic-based deep spiking neural networks for sparse datasets. - Mohammed M. Alawad; Hong-Jun Yoon; Georgia D. Tourassi (IEEE BigData, 2017)

Deep learning enabled national cancer surveillance. - Georgia D. Tourassi (IEEE BigData, 2017)

Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology. - Folami T. Alamudun; Tracy Hammond; Hong-Jun Yoon; Georgia D. Tourassi (HCI (14), 2017)

Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports. - Mohammed M. Alawad; Hong-Jun Yoon; Georgia D. Tourassi (BHI, 2018)

Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension. - Hong-Jun Yoon; Sarah Robinson; James Blair Christian; John X. Qiu; Georgia D. Tourassi (BHI, 2018)

Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction. - Mohammed M. Alawad; S. M. Shamimul Hasan; James Blair Christian; Georgia D. Tourassi (IEEE BigData, 2018)

Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer. - Hong-Jun Yoon; Arvind Ramanathan; Folami Alamudun; Georgia D. Tourassi (IWBI, 2018)

Hierarchical Convolutional Attention Networks for Text Classification. - Shang Gao 008; Arvind Ramanathan; Georgia D. Tourassi (Rep4NLP@ACL, 2018)

CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules. - Nicolas W. Hengartner; Leticia Cuellar; Xiao-Cheng Wu; Georgia D. Tourassi; John X. Qiu; James Blair Christian; Tanmoy Bhattacharya 001 (BMC Bioinform., 2018)

Scalable deep text comprehension for Cancer surveillance on high-performance computing. - John X. Qiu; Hong-Jun Yoon; Kshitij Srivastava; Thomas P. Watson; James Blair Christian; Arvind Ramanathan; Xiao-Cheng Wu; Paul A. Fearn; Georgia D. Tourassi (BMC Bioinform., 2018)

Precision Medicine as an Accelerator for Next Generation Cognitive Supercomputing. - Edmon Begoli; Jim Brase; Bambi DeLaRosa; Penelope Jones; Dimitri Kusnezov; Jason Paragas; Rick Stevens; Frederick H. Streitz; Georgia D. Tourassi (CoRR, 2018)

Hierarchical attention networks for information extraction from cancer pathology reports. - Shang Gao 008; Michael T. Young; John X. Qiu; Hong-Jun Yoon; James Blair Christian; Paul A. Fearn; Georgia D. Tourassi; Arvind Ramanathan (J. Am. Medical Informatics Assoc., 2018)

Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports. - John X. Qiu; Hong-Jun Yoon; Paul A. Fearn; Georgia D. Tourassi (IEEE J. Biomed. Health Informatics, 2018)

Extraction of Tumor Site from Cancer Pathology Reports using Deep Filters. - Abhishek Kumar Dubey; Jacob D. Hinkle; James Blair Christian; Georgia D. Tourassi (BCB, 2019)

Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. - Mohammed M. Alawad; Shang Gao 008; John X. Qiu; Noah Schaefferkoetter; Jacob D. Hinkle; Hong-Jun Yoon; James Blair Christian; Xiao-Cheng Wu; Eric B. Durbin; Jong Cheol Jeong; Isaac Hands; David Rust; et al. (BHI, 2019)

Inverse Regression for Extraction of Tumor Site from Cancer Pathology Reports. - Abhishek Kumar Dubey; Hong-Jun Yoon; Georgia D. Tourassi (BHI, 2019)

A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data. - S. M. Shamimul Hasan; Donna R. Rivera; Xiao-Cheng Wu; James Blair Christian; Georgia D. Tourassi (BHI, 2019)

Semi-Supervised Information Extraction for Cancer Pathology Reports. - John X. Qiu; Shang Gao 008; Mohammed M. Alawad; Noah Schaefferkoetter; Folami Alamudun; Hong-Jun Yoon; Xiao-Cheng Wu; Georgia D. Tourassi (BHI, 2019)

Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC. - Hong-Jun Yoon; John Gounley; Shang Gao 008; Mohammed M. Alawad; Arvind Ramanathan; Georgia D. Tourassi (BHI, 2019)

Adversarial Training for Privacy-Preserving Deep Learning Model Distribution. - Mohammed M. Alawad; Shang Gao 008; Xiao-Cheng Wu; Eric B. Durbin; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (IEEE BigData, 2019)

Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts. - Hong-Jun Yoon; John Gounley; M. Todd Young; Georgia D. Tourassi (IEEE BigData, 2019)

Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks. - Hong-Jun Yoon; John X. Qiu; James Blair Christian; Jacob D. Hinkle; Folami Alamudun; Georgia D. Tourassi (INNSBDDL, 2019)

Computationally Efficient Learning of Quality Controlled Word Embeddings for Natural Language Processing. - Mohammed M. Alawad; Georgia D. Tourassi (ISVLSI, 2019)

Computer-aided detection using non-convolutional neural network Gaussian processes. - Devanshu Agrawal; Hong-Jun Yoon; Georgia D. Tourassi; Jacob D. Hinkle (Computer-Aided Diagnosis, 2019)

Classifying cancer pathology reports with hierarchical self-attention networks. - Shang Gao 008; John X. Qiu; Mohammed M. Alawad; Jacob D. Hinkle; Noah Schaefferkoetter; Hong-Jun Yoon; James Blair Christian; Paul A. Fearn; Lynne Penberthy; Xiao-Cheng Wu; Linda Coyle; Georgia D. Tourassi; et al. (Artif. Intell. Medicine, 2019)

Guest Editorial: AI Enabled Connected Health Informatics. - Shuayb Zarar; Georgia D. Tourassi; Chris D. Nugent (IEEE J. Biomed. Health Informatics, 2019)

Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles. - Hong-Jun Yoon; Hilda B. Klasky; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Linda Coyle; Lynne Penberthy; Christopher B. Stanley; James Blair Christian; Georgia D. Tourassi (Poly/DMAH@VLDB, 2020)

Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports. - Sayera Dhaubhadel; Jamaludin Mohd-Yusof; Kumkum Ganguly; Gopinath Chennupati; Sunil Thulasidasan; Nicolas W. Hengartner; Brent J. Mumphrey; Eric B. Durbin; Jennifer A. Doherty; Mireille Lemieux; Noah Schaefferkoetter; Georgia D. Tourassi; et al. (CoRR, 2020)

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks. - Mohammed M. Alawad; Shang Gao 008; John X. Qiu; Hong-Jun Yoon; James Blair Christian; Lynne Penberthy; Brent J. Mumphrey; Xiao-Cheng Wu; Linda Coyle; Georgia D. Tourassi (J. Am. Medical Informatics Assoc., 2020)

Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. - Hong-Jun Yoon; Hilda B. Klasky; John P. Gounley; Mohammed M. Alawad; Shang Gao 008; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Linda Coyle; Lynne Penberthy; James Blair Christian; et al. (J. Biomed. Informatics, 2020)

Knowledge Graph-Enabled Cancer Data Analytics. - S. M. Shamimul Hasan; Donna R. Rivera; Xiao-Cheng Wu; Eric B. Durbin; James Blair Christian; Georgia D. Tourassi (IEEE J. Biomed. Health Informatics, 2020)

Deep active learning for classifying cancer pathology reports. - Kevin De Angeli; Shang Gao 008; Mohammed M. Alawad; Hong-Jun Yoon; Noah Schaefferkoetter; Xiao-Cheng Wu; Eric B. Durbin; Jennifer A. Doherty; Antoinette Stroup; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (BMC Bioinform., 2021)

Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping. - Mohammed M. Alawad; Shang Gao 008; Mayanka Chandra Shekar; S. M. Shamimul Hasan; James Blair Christian; Xiao-Cheng Wu; Eric B. Durbin; Jennifer A. Doherty; Antoinette Stroup; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (CoRR, 2021)

Privacy-Preserving Deep Learning NLP Models for Cancer Registries. - Mohammed M. Alawad; Hong-Jun Yoon; Shang Gao 008; Brent J. Mumphrey; Xiao-Cheng Wu; Eric B. Durbin; Jong Cheol Jeong; Isaac Hands; David Rust; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (IEEE Trans. Emerg. Top. Comput., 2021)

Limitations of Transformers on Clinical Text Classification. - Shang Gao 008; Mohammed M. Alawad; M. Todd Young; John Gounley; Noah Schaefferkoetter; Hong-Jun Yoon; Xiao-Cheng Wu; Eric B. Durbin; Jennifer A. Doherty; Antoinette Stroup; Linda Coyle; Georgia D. Tourassi (IEEE J. Biomed. Health Informatics, 2021)

Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types. - Kevin De Angeli; Shang Gao 008; Ioana Danciu; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Stephen M. Schwartz; Charles Wiggins; Mark Damesyn; Linda Coyle; Lynne Penberthy; et al. (J. Biomed. Informatics, 2022)

A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification. - Andrew E. Blanchard; Shang Gao 008; Hong-Jun Yoon; James Blair Christian; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Stephen M. Schwartz; Charles Wiggins; Linda Coyle; Lynne Penberthy; et al. (IEEE J. Biomed. Health Informatics, 2022)

Computational Medicine in the Exascale Computing Era: Applications at the Oak Ridge Leadership Computing Facility. - Georgia D. Tourassi (JVA, 2023)

Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks. - Aristeidis Tsaris; Joshua Romero; Thorsten Kurth; Jacob D. Hinkle; Hong-Jun Yoon; Feiyi Wang; Sajal Dash; Georgia D. Tourassi (PASC, 2023)

Characterizing Quantum Classifier Utility in Natural Language Processing Workflows. - Kathleen E. Hamilton; Mayanka Chandra Shekar; John Gounley; Dhanvi Bharadwaj; Prasanna Date; Eduardo Antonio Coello Pérez; In-Saeng Suh; Georgia D. Tourassi (QCE, 2023)

Guest Editorial Advancing Biomedical Discovery and Healthcare Delivery Through Digital Technology. - Sergio Cerutti; Björn M. Eskofier; Georgia D. Tourassi (IEEE J. Biomed. Health Informatics, 2023)

Evaluation of pre-training large language models on leadership-class supercomputers. - Junqi Yin; Sajal Dash; John Gounley; Feiyi Wang; Georgia D. Tourassi (J. Supercomput., 2023)

Powering Progress in Leadership Computing in the Era of Generative AI and Energy Constraints. - Georgia D. Tourassi (SIGSIM-PADS, 2024)

Topological Interpretability for Deep Learning. - Adam Spannaus; Heidi A. Hanson; Georgia D. Tourassi; Lynne Penberthy (PASC, 2024)

Adiabatic Quantum Support Vector Machines. - Prasanna Date; Dong Jun Woun; Kathleen E. Hamilton; Eduardo Antonio Coello Pérez; Mayanka Chandra Shekar; Francisco Rios; John Gounley; In-Saeng Suh; Travis S. Humble; Georgia D. Tourassi (CoRR, 2024)

Deep learning uncertainty quantification for clinical text classification. - Alina Peluso; Ioana Danciu; Hong-Jun Yoon; Jamaludin Mohd-Yusof; Tanmoy Bhattacharya 001; Adam Spannaus; Noah Schaefferkoetter; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Stephen M. Schwartz; et al. (J. Biomed. Informatics, 2024)

Development of message passing-based graph convolutional networks for classifying cancer pathology reports. - Hong-Jun Yoon; Hilda B. Klasky; Andrew E. Blanchard; James Blair Christian; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (BMC Medical Informatics Decis. Mak., 2024)

Adiabatic quantum support vector machines. - Prasanna Date; Dong Jun Woun; Kathleen E. Hamilton; Eduardo Antonio Coello Pérez; Mayanka Chandrashekar; Francisco Rios; John Gounley; In-Saeng Suh; Travis S. Humble; Georgia D. Tourassi (Quantum Mach. Intell., 2025)