Georgia D. Tourassi

122 papers B 22Misc 3Journal 41Unranked 54

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers. IEEE J. Biomed. Health Informatics Andreas S. Panayides, Hao Chen, Nenad D. Filipovic, Tijana Geroski, Junlin Hou, Karim Lekadir, Kostas Marias, George K. Matsopoulos, Giorgos Papanastasiou, Pinaki Sarder, Georgia D. Tourassi, Sotirios A. Tsaftaris, Huazhu Fu, Efthyvoulos C. Kyriacou, Christos P. Loizou, Michalis E. Zervakis, Joel H. Saltz, Farah E. Shamout, Ken C. L. Wong, Jianhua Yao, Amir A. Amini, Dimitrios I. Fotiadis, Constantinos S. Pattichis, Marios S. Pattichis
2025	J	`jnl`	Adiabatic quantum support vector machines. Quantum Mach. Intell. 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
2025	J	`jnl`	Guest Editorial: Transforming Healthcare and Medicine With Biomedical Informatics and Emerging AI. IEEE J. Biomed. Health Informatics Bobak J. Mortazavi, Yu-Chiao Chiu, Lei Lu, Arun Das, Georgia D. Tourassi, Bjoern M. Eskofier
2024	J	`jnl`	Adiabatic Quantum Support Vector Machines. CoRR 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
2024	J	`jnl`	Deep learning uncertainty quantification for clinical text classification. J. Biomed. Informatics Alina Peluso, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd-Yusof, Tanmoy Bhattacharya, Adam Spannaus, Noah Schaefferkoetter, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Shang Gao
2024	J	`jnl`	Development of message passing-based graph convolutional networks for classifying cancer pathology reports. BMC Medical Informatics Decis. Mak. 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
2024	—	`conf`	Powering Progress in Leadership Computing in the Era of Generative AI and Energy Constraints. SIGSIM-PADS Georgia D. Tourassi
2024	—	`conf`	Topological Interpretability for Deep Learning. PASC Adam Spannaus, Heidi A. Hanson, Georgia D. Tourassi, Lynne Penberthy
2023	Misc	`conf`	Characterizing Quantum Classifier Utility in Natural Language Processing Workflows. QCE Kathleen E. Hamilton, Mayanka Chandra Shekar, John Gounley, Dhanvi Bharadwaj, Prasanna Date, Eduardo Antonio Coello Pérez, In-Saeng Suh, Georgia D. Tourassi
2023	—	`conf`	Computational Medicine in the Exascale Computing Era: Applications at the Oak Ridge Leadership Computing Facility. JVA Georgia D. Tourassi
2023	J	`jnl`	Evaluation of pre-training large language models on leadership-class supercomputers. J. Supercomput. Junqi Yin, Sajal Dash, John Gounley, Feiyi Wang, Georgia D. Tourassi
2023	J	`jnl`	Guest Editorial Advancing Biomedical Discovery and Healthcare Delivery Through Digital Technology. IEEE J. Biomed. Health Informatics Sergio Cerutti, Björn M. Eskofier, Georgia D. Tourassi
2023	—	`conf`	Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks. PASC Aristeidis Tsaris, Joshua Romero, Thorsten Kurth, Jacob D. Hinkle, Hong-Jun Yoon, Feiyi Wang, Sajal Dash, Georgia D. Tourassi
2023	J	`jnl`	Topological Interpretability for Deep-Learning. CoRR Adam Spannaus, Heidi A. Hanson, Lynne Penberthy, Georgia D. Tourassi
2022	J	`jnl`	A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification. IEEE J. Biomed. Health Informatics Andrew E. Blanchard, Shang Gao, 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, Georgia D. Tourassi
2022	J	`jnl`	Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types. J. Biomed. Informatics Kevin De Angeli, Shang Gao, Ioana Danciu, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Stephen M. Schwartz, Charles Wiggins, Mark Damesyn, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Hong-Jun Yoon
2021	J	`jnl`	Deep active learning for classifying cancer pathology reports. BMC Bioinform. Kevin De Angeli, Shang Gao, 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
2021	J	`jnl`	Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping. CoRR Mohammed M. Alawad, Shang Gao, 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
2021	J	`jnl`	Limitations of Transformers on Clinical Text Classification. IEEE J. Biomed. Health Informatics Shang Gao, 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
2021	J	`jnl`	Privacy-Preserving Deep Learning NLP Models for Cancer Registries. IEEE Trans. Emerg. Top. Comput. Mohammed M. Alawad, Hong-Jun Yoon, Shang Gao, Brent J. Mumphrey, Xiao-Cheng Wu, Eric B. Durbin, Jong Cheol Jeong, Isaac Hands, David Rust, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi
2020	J	`jnl`	Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. J. Biomed. Informatics Hong-Jun Yoon, Hilda B. Klasky, John P. Gounley, Mohammed M. Alawad, Shang Gao, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Linda Coyle, Lynne Penberthy, James Blair Christian, Georgia D. Tourassi
2020	J	`jnl`	Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks. J. Am. Medical Informatics Assoc. Mohammed M. Alawad, Shang Gao, John X. Qiu, Hong-Jun Yoon, James Blair Christian, Lynne Penberthy, Brent J. Mumphrey, Xiao-Cheng Wu, Linda Coyle, Georgia D. Tourassi
2020	J	`jnl`	Knowledge Graph-Enabled Cancer Data Analytics. IEEE J. Biomed. Health Informatics S. M. Shamimul Hasan, Donna R. Rivera, Xiao-Cheng Wu, Eric B. Durbin, James Blair Christian, Georgia D. Tourassi
2020	—	`conf`	Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles. Poly/DMAH@VLDB 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
2020	J	`jnl`	Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports. CoRR 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, Linda Coyle, Lynne Penberthy, Benjamin McMahon, Tanmoy Bhattacharya
2019	—	`conf`	A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data. BHI S. M. Shamimul Hasan, Donna R. Rivera, Xiao-Cheng Wu, James Blair Christian, Georgia D. Tourassi
2019	—	`conf`	Adversarial Training for Privacy-Preserving Deep Learning Model Distribution. IEEE BigData Mohammed M. Alawad, Shang Gao, Xiao-Cheng Wu, Eric B. Durbin, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi
2019	J	`jnl`	Classifying cancer pathology reports with hierarchical self-attention networks. Artif. Intell. Medicine Shang Gao, 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, Arvind Ramanathan
2019	—	`conf`	Computationally Efficient Learning of Quality Controlled Word Embeddings for Natural Language Processing. ISVLSI Mohammed M. Alawad, Georgia D. Tourassi
2019	—	`conf`	Computer-aided detection using non-convolutional neural network Gaussian processes. Computer-Aided Diagnosis Devanshu Agrawal, Hong-Jun Yoon, Georgia D. Tourassi, Jacob D. Hinkle
2019	—	`conf`	Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. BHI Mohammed M. Alawad, Shang Gao, 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, Georgia D. Tourassi
2019	—	`conf`	Extraction of Tumor Site from Cancer Pathology Reports using Deep Filters. BCB Abhishek Kumar Dubey, Jacob D. Hinkle, James Blair Christian, Georgia D. Tourassi
2019	J	`jnl`	Guest Editorial: AI Enabled Connected Health Informatics. IEEE J. Biomed. Health Informatics Shuayb Zarar, Georgia D. Tourassi, Chris D. Nugent
2019	—	`conf`	Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts. IEEE BigData Hong-Jun Yoon, John Gounley, M. Todd Young, Georgia D. Tourassi
2019	—	`conf`	Inverse Regression for Extraction of Tumor Site from Cancer Pathology Reports. BHI Abhishek Kumar Dubey, Hong-Jun Yoon, Georgia D. Tourassi
2019	—	`conf`	Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC. BHI Hong-Jun Yoon, John Gounley, Shang Gao, Mohammed M. Alawad, Arvind Ramanathan, Georgia D. Tourassi
2019	—	`conf`	Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks. INNSBDDL Hong-Jun Yoon, John X. Qiu, James Blair Christian, Jacob D. Hinkle, Folami Alamudun, Georgia D. Tourassi
2019	—	`conf`	Semi-Supervised Information Extraction for Cancer Pathology Reports. BHI John X. Qiu, Shang Gao, Mohammed M. Alawad, Noah Schaefferkoetter, Folami Alamudun, Hong-Jun Yoon, Xiao-Cheng Wu, Georgia D. Tourassi
2018	J	`jnl`	CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules. BMC Bioinform. Nicolas W. Hengartner, Leticia Cuellar, Xiao-Cheng Wu, Georgia D. Tourassi, John X. Qiu, James Blair Christian, Tanmoy Bhattacharya
2018	—	`conf`	Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports. BHI Mohammed M. Alawad, Hong-Jun Yoon, Georgia D. Tourassi
2018	J	`jnl`	Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports. IEEE J. Biomed. Health Informatics John X. Qiu, Hong-Jun Yoon, Paul A. Fearn, Georgia D. Tourassi
2018	—	`conf`	Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer. IWBI Hong-Jun Yoon, Arvind Ramanathan, Folami Alamudun, Georgia D. Tourassi
2018	—	`conf`	Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension. BHI Hong-Jun Yoon, Sarah Robinson, James Blair Christian, John X. Qiu, Georgia D. Tourassi
2018	—	`conf`	Hierarchical Convolutional Attention Networks for Text Classification. Rep4NLP@ACL Shang Gao, Arvind Ramanathan, Georgia D. Tourassi
2018	J	`jnl`	Hierarchical attention networks for information extraction from cancer pathology reports. J. Am. Medical Informatics Assoc. Shang Gao, Michael T. Young, John X. Qiu, Hong-Jun Yoon, James Blair Christian, Paul A. Fearn, Georgia D. Tourassi, Arvind Ramanathan
2018	J	`jnl`	Precision Medicine as an Accelerator for Next Generation Cognitive Supercomputing. CoRR Edmon Begoli, Jim Brase, Bambi DeLaRosa, Penelope Jones, Dimitri Kusnezov, Jason Paragas, Rick Stevens, Frederick H. Streitz, Georgia D. Tourassi
2018	—	`conf`	Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction. IEEE BigData Mohammed M. Alawad, S. M. Shamimul Hasan, James Blair Christian, Georgia D. Tourassi
2018	J	`jnl`	Scalable deep text comprehension for Cancer surveillance on high-performance computing. BMC Bioinform. 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
2017	—	`conf`	Automated histologic grading from free-text pathology reports using graph-of-words features and machine learning. BHI Hong-Jun Yoon, Larry Roberts, Georgia D. Tourassi
2017	—	`conf`	Deep learning enabled national cancer surveillance. IEEE BigData Georgia D. Tourassi
2017	—	`conf`	Energy efficient stochastic-based deep spiking neural networks for sparse datasets. IEEE BigData Mohammed M. Alawad, Hong-Jun Yoon, Georgia D. Tourassi
2017	—	`conf`	Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology. HCI (14) Folami T. Alamudun, Tracy Hammond, Hong-Jun Yoon, Georgia D. Tourassi
2017	Misc	`conf`	Leveraging Large-Scale Computing for Population Information Integration, Analysis, and Modeling. AMIA Jessica A. Boten, Donna R. Rivera, Madhumita Myneni, Georgia D. Tourassi, Tanmoy Bhattacharya, Ana Paula de Oliveira Sales, Thomas S. Brettin, Paul A. Fearn, Lynne Penberthy
2016	J	`jnl`	A novel web informatics approach for automated surveillance of cancer mortality trends. J. Biomed. Informatics Georgia D. Tourassi, Hong-Jun Yoon, Songhua Xu
2016	—	`conf`	Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics. BHI Hong-Jun Yoon, Georgia D. Tourassi
2016	—	`ed.`	Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February - 3 March 2016 Computer-Aided Diagnosis Georgia D. Tourassi, Samuel G. Armato III
2016	—	`conf`	Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports. INNS Conference on Big Data Hong-Jun Yoon, Arvind Ramanathan, Georgia D. Tourassi
2016	—	`conf`	Predicting lung cancer incidence from air pollution exposures using shapelet-based time series analysis. BHI Hong-Jun Yoon, Songhua Xu, Georgia D. Tourassi
2016	—	`conf`	Shapelet analysis of pupil dilation for modeling visuo-cognitive behavior in screening mammography. Image Perception, Observer Performance, and Technology Assessment Folami Alamudun, Hong-Jun Yoon, Tracy Hammond, Kathy Hudson, Garnetta Morin-Ducote, Georgia D. Tourassi
2016	J	`jnl`	The utility of web mining for epidemiological research: studying the association between parity and cancer risk. J. Am. Medical Informatics Assoc. Georgia D. Tourassi, Hong-Jun Yoon, Songhua Xu, Xuesong Han
2015	—	`conf`	Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment. SBP Yang Liu, Songhua Xu, Georgia D. Tourassi
2015	—	`ed.`	Medical Imaging 2015: Computer-Aided Diagnosis, Orlando, Florida, United States, 21-26 February 2015 Computer-Aided Diagnosis Lubomir M. Hadjiiski, Georgia D. Tourassi
2015	—	`conf`	Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources. SBP Hong-Jun Yoon, Georgia D. Tourassi, Songhua Xu
2014	J	`jnl`	A user-oriented web crawler for selectively acquiring online content in e-health research. Bioinform. Songhua Xu, Hong-Jun Yoon, Georgia D. Tourassi
2014	Misc	`conf`	Extracting Patient Demographics and Personal Medical Information from Online Health Forums. AMIA Yang Liu, Songhua Xu, Hong-Jun Yoon, Georgia D. Tourassi
2013	—	`conf`	Automated assessment of bilateral breast volume asymmetry as a breast cancer biomarker during mammographic screening. Computer-Aided Diagnosis Alex C. Williams, Austin Hitt, Sophie Voisin, Georgia D. Tourassi
2013	J	`jnl`	Research and applications: Investigating the link between radiologists' gaze, diagnostic decision, and image content. J. Am. Medical Informatics Assoc. Georgia D. Tourassi, Sophie Voisin, Vincent C. Paquit, Elizabeth A. Krupinski
2012	—	`conf`	A novel local learning based approach with application to breast cancer diagnosis. Computer-Aided Diagnosis Songhua Xu, Georgia D. Tourassi
2012	J	`jnl`	The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support. Neural Networks Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi
2011	J	`jnl`	Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis. J. Biomed. Informatics Maciej A. Mazurowski, Joseph Y. Lo, Brian P. Harrawood, Georgia D. Tourassi
2010	—	`conf`	Perception-driven IT-CADe analysis for the detection of masses in screening mammography: initial investigation. Computer-Aided Diagnosis Georgia D. Tourassi, Maciej A. Mazurowski, Elizabeth A. Krupinski
2009	—	`conf`	A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results. Computer-Aided Diagnosis Maciej A. Mazurowski, Jordan M. Malof, Jacek M. Zurada, Georgia D. Tourassi
2009	B	`conf`	Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy. IJCNN Maciej A. Mazurowski, Georgia D. Tourassi
2009	—	`conf`	Information-theoretic CAD system in mammography: improved mass detection by incorporating a Gaussian saliency map. Computer-Aided Diagnosis Georgia D. Tourassi, Brian P. Harrawood
2009	—	`conf`	Relational representation for improved decisions with an information-theoretic CADe system: initial experience. Computer-Aided Diagnosis Maciej A. Mazurowski, Georgia D. Tourassi
2009	B	`conf`	The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems. IJCNN Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi
2008	—	`conf`	Case-Specific Reliability Assessment for Improved False Positive Reduction with an Information-Theoretic CAD System. Digital Mammography / IWDM Piotr A. Habas, Jacek M. Zurada, Georgia D. Tourassi
2008	—	`conf`	Computer-aided detection of breast masses in tomosynthesis reconstructed volumes using information-theoretic similarity measures. Computer-Aided Diagnosis Swatee Singh, Georgia D. Tourassi, Amarpreet S. Chawla, Robert S. Saunders, Ehsan Samei, Joseph Y. Lo
2008	—	`conf`	Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection. Computer-Aided Diagnosis Maciej A. Mazurowski, Jacek M. Zurada, Georgia D. Tourassi
2008	—	`conf`	Effect of ROI size on the performance of an information-theoretic CAD system in mammography: multi-size fusion analysis. Computer-Aided Diagnosis Robert C. Ike, Swatee Singh, Brian P. Harrawood, Georgia D. Tourassi
2008	—	`conf`	Effect of Similarity Metrics and ROI Sizes in Featureless Computer Aided Detection of Breast Masses in Tomosynthesis. Digital Mammography / IWDM Swatee Singh, Georgia D. Tourassi, Joseph Y. Lo
2008	—	`conf`	Knowledge Transfer across Breast Cancer Screening Modalities: A Pilot Study Using an Information-Theoretic CADe System for Mass Detection. Digital Mammography / IWDM Georgia D. Tourassi, Amy C. Sharma, Swatee Singh, Robert S. Saunders, Joseph Y. Lo, Ehsan Samei, Brian P. Harrawood
2008	—	`conf`	Reliability Assessment of Ensemble Classifiers: Application in Mammography. Digital Mammography / IWDM Maciej A. Mazurowski, Jacek M. Zurada, Georgia D. Tourassi
2008	J	`jnl`	Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. Neural Networks Maciej A. Mazurowski, Piotr A. Habas, Jacek M. Zurada, Joseph Y. Lo, Jay A. Baker, Georgia D. Tourassi
2007	J	`jnl`	A Concentric Morphology Model for the Detection of Masses in Mammography. IEEE Trans. Medical Imaging Nevine H. Eltonsy, Georgia D. Tourassi, Adel Said Elmaghraby
2007	—	`conf`	Bilateral Breast Volume Asymmetry in Screening Mammograms as a Potential Marker of Breast Cancer: Preliminary Experience. ICIP (5) Nevine H. Eltonsy, Adel Said Elmaghraby, Georgia D. Tourassi
2007	—	`conf`	Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures. Computer-Aided Diagnosis Swatee Singh, Georgia D. Tourassi, Joseph Y. Lo
2007	B	`conf`	Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms. IEEE Congress on Evolutionary Computation Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada
2007	—	`conf`	Contribution of Haar wavelets and MPEG-7 textural features for false positive reduction in a CAD system for the detection of masses in mammograms. Computer-Aided Diagnosis Nevine H. Eltonsy, Georgia D. Tourassi, Adel Said Elmaghraby
2007	—	`conf`	Cross-digitizer robustness of a knowledge-based CAD system for mass detection in mammograms. Computer-Aided Diagnosis Georgia D. Tourassi, Brian P. Harrawood, Carey E. Floyd Jr.
2007	B	`conf`	Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis. IJCNN Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada
2007	—	`conf`	Incorporation of a multiscale texture-based approach to mutual information matching for improved knowledge-based detection of masses in screening mammograms. Computer-Aided Diagnosis Georgia D. Tourassi, Anna O. Bilska-Wolak, Piotr A. Habas, Carey E. Floyd Jr.
2007	—	`conf`	Particle swarm optimization of neural network CAD systems with clinically relevant objectives. Computer-Aided Diagnosis Piotr A. Habas, Jacek M. Zurada, Adel Said Elmaghraby, Georgia D. Tourassi
2007	B	`conf`	Stacked Generalization in Computer-Assisted Decision Systems: Empirical Comparison of Data Handling Schemes. IJCNN Georgia D. Tourassi, Jonathan L. Jesneck, Maciej A. Mazurowski, Piotr A. Habas
2006	B	`conf`	Confidence-based stratification of CAD recommendations with application to breast cancer detection. Image Processing Piotr A. Habas, Jacek M. Zurada, Adel Said Elmaghraby, Georgia D. Tourassi
2006	J	`jnl`	Impact of missing data in evaluating artificial neural networks trained on complete data. Comput. Biol. Medicine Mia K. Markey, Georgia D. Tourassi, Michael Margolis, David M. DeLong
2006	—	`conf`	Probabilistic Framework for Reliability Analysis of Information-Theoretic CAD Systems in Mammography. EMBC Piotr A. Habas, Jacek M. Zurada, Adel Said Elmaghraby, Georgia D. Tourassi
2006	—	`conf`	Significance of MPEG-7 Textural Features for Improved Mass Detection in Mammography. EMBC Nevine H. Eltonsy, Georgia D. Tourassi, Aleksey Fadeev, Adel Said Elmaghraby
2005	B	`conf`	A novel technique for assessing the case-specific reliability of decisions made by CAD tools. Image Processing Piotr A. Habas, Georgia D. Tourassi, Nevine H. Eltonsy, Adel Said Elmaghraby, Jacek M. Zurada
2005	—	`conf`	Adapted morphing model for 3D volume reconstruction applied to abdominal CT images. Image-Guided Procedures Aleksey Fadeev, Nevine H. Eltonsy, Georgia D. Tourassi, Robert Martin, Adel Elmaghraby
2005	B	`conf`	Automated detection of mammographic masses: preliminary assessment of an information-theoretic CAD scheme for reduction of false positives. Image Processing Georgia D. Tourassi, Nevine H. Eltonsy, Adel Said Elmaghraby, Carey E. Floyd Jr.
2005	B	`conf`	DNA: directional neighborhood analysis for detection of breast masses in screening mammograms. Image Processing Nevine H. Eltonsy, Georgia D. Tourassi, Piotr A. Habas, Adel Said Elmaghraby
2005	B	`conf`	Detection of architectural distortion in mammograms using fractal analysis. Image Processing Georgia D. Tourassi, Nevine H. Eltonsy, Adel Said Elmaghraby, Carey E. Floyd Jr.
2005	J	`jnl`	Estimation of generalized entropies with sample spacing. Pattern Anal. Appl. Mark P. Wachowiak, Renata Smolíkova, Georgia D. Tourassi, Adel Said Elmaghraby
2005	J	`jnl`	Estimation of generalized entropies with sample spacing. Pattern Anal. Appl. Mark P. Wachowiak, Renata Smolíkova, Georgia D. Tourassi, Adel Said Elmaghraby
2004	B	`conf`	Computer-assisted diagnosis of mammographic masses using an information-theoretic image retrieval scheme with BIRADs-based relevance feedback. Image Processing Georgia D. Tourassi, Carey E. Floyd Jr.
2004	B	`conf`	Performance evaluation of an information-theoretic CAD scheme for the detection of mammographic architectural distortion. Image Processing Georgia D. Tourassi, Carey E. Floyd Jr.
2004	B	`conf`	Unsupervised tissue segmentation in screening mammograms for automated breast density assessment. Image Processing H. Erin Rickard, Georgia D. Tourassi, Adel Said Elmaghraby
2003	B	`conf`	Content-based image retrieval as a computer aid for the detection of mammographic masses. Image Processing Georgia D. Tourassi, Rene Vargas-Voracek, Carey E. Floyd Jr.
2003	J	`jnl`	Self-organizing map for cluster analysis of a breast cancer database. Artif. Intell. Medicine Mia K. Markey, Joseph Y. Lo, Georgia D. Tourassi, Carey E. Floyd Jr.
2003	B	`conf`	Similarity metrics based on nonadditive entropies for 2D-3D multimodal biomedical image registration. Image Processing Mark P. Wachowiak, Renata Smolíkova, Georgia D. Tourassi, Adel Said Elmaghraby
2003	B	`conf`	Validation of a constraint satisfaction neural network for breast cancer disgnosis: new results from 1030 cases. Image Processing Georgia D. Tourassi, Joseph Y. Lo, Mia K. Markey
2002	B	`conf`	Cluster analysis of BI-RADS descriptions of biopsy-proven breast lesions. Image Processing Mia K. Markey, Joseph Y. Lo, Georgia D. Tourassi, Carey E. Floyd Jr.
2002	J	`jnl`	Perceptron error surface analysis: a case study in breast cancer diagnosis. Comput. Biol. Medicine Mia K. Markey, Joseph Y. Lo, Rene Vargas-Voracek, Georgia D. Tourassi, Carey E. Floyd Jr.
2001	J	`jnl`	Multifractal texture analysis of perfusion lung scans as a potential diagnostic tool for acute pulmonary embolism. Comput. Biol. Medicine Georgia D. Tourassi, Erik D. Frederick, Carey E. Floyd Jr., R. Edward Coleman
2000	J	`jnl`	Fractal Texture Analysis of Perfusion Lung Scans. Comput. Biomed. Res. Georgia D. Tourassi, Erik D. Frederick, Neal F. Vittitoe, R. Edward Coleman
2000	B	`conf`	Use of a constraint satisfaction neural network for breast cancer diagnosis and dynamic scenarios simulation. Image Processing Georgia D. Tourassi, Carey E. Floyd Jr., Joseph Y. Lo
1999	B	`conf`	A constraint satisfaction neural network for medical diagnosis. IJCNN Georgia D. Tourassi, Carey E. Floyd Jr., Joseph Y. Lo
1999	B	`conf`	Case-based reasoning as a computer aid to diagnosis. Image Processing Carey E. Floyd Jr., Joseph Y. Lo, Georgia D. Tourassi
1999	B	`conf`	Java interface to a computer-aided diagnosis system for acute pulmonary embolism using PIOPED findings. Image Processing Erik D. Frederick, Georgia D. Tourassi, Matthew Gauger, Carey E. Floyd Jr.
1997	—	`conf`	An artificial neural network to predict mortality in patients who undergo percutaneous coronary interventions. ICNN Georgia D. Tourassi, Nicholas P. Xenopoulos
1996	B	`conf`	Use of genetic algorithms for computer-aided diagnosis of breast cancers from image features. Image Processing Carey E. Floyd Jr., Georgia D. Tourassi, Jay A. Baker