Georgia D. Tourassi

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 55

Top Venues

BHI

IEEE J. Biomed. Health Informatics

IEEE BigData

CoRR

Publications

Prasanna Date, Dong Jun Woun, Kathleen E. Hamilton, Eduardo Antonio Coello Pérez, Mayanka Chandra Shekar, Francisco Rios, John Gounley, In-Saeng Suh, Travis Humble, Georgia D. Tourassi
Adiabatic Quantum Support Vector Machines. CoRR (2024)
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
Deep learning uncertainty quantification for clinical text classification. J. Biomed. Informatics 149 (2024)
Sergio Cerutti, Björn M. Eskofier, Georgia D. Tourassi
Guest Editorial Advancing Biomedical Discovery and Healthcare Delivery Through Digital Technology. IEEE J. Biomed. Health Informatics 27 (6) (2023)
Aristeidis Tsaris, Joshua Romero, Thorsten Kurth, Jacob D. Hinkle, Hong-Jun Yoon, Feiyi Wang, Sajal Dash, Georgia D. Tourassi
Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks. PASC (2023)
Junqi Yin, Sajal Dash, John Gounley, Feiyi Wang, Georgia D. Tourassi
Evaluation of pre-training large language models on leadership-class supercomputers. J. Supercomput. 79 (18) (2023)
Georgia D. Tourassi
Computational Medicine in the Exascale Computing Era: Applications at the Oak Ridge Leadership Computing Facility. JVA (2023)
Adam Spannaus, Heidi A. Hanson, Lynne Penberthy, Georgia D. Tourassi
Topological Interpretability for Deep-Learning. CoRR (2023)
Kathleen E. Hamilton, Mayanka Chandra Shekar, John Gounley, Dhanvi Bharadwaj, Prasanna Date, Eduardo Antonio Coello Pérez, In-Saeng Suh, Georgia D. Tourassi
Characterizing Quantum Classifier Utility in Natural Language Processing Workflows. QCE (2023)
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
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types. J. Biomed. Informatics 125 (2022)
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
A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification. IEEE J. Biomed. Health Informatics 26 (6) (2022)
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
Privacy-Preserving Deep Learning NLP Models for Cancer Registries. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
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
Deep active learning for classifying cancer pathology reports. BMC Bioinform. 22 (1) (2021)
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
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping. CoRR (2021)
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
Limitations of Transformers on Clinical Text Classification. IEEE J. Biomed. Health Informatics 25 (9) (2021)
S. M. Shamimul Hasan, Donna R. Rivera, Xiao-Cheng Wu, Eric B. Durbin, James Blair Christian, Georgia D. Tourassi
Knowledge Graph-Enabled Cancer Data Analytics. IEEE J. Biomed. Health Informatics 24 (7) (2020)
Hong-Jun Yoon, Hilda B. Klasky, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Linda Coyle, Lynne Penberthy, Christopher Stanley, James Blair Christian, Georgia D. Tourassi
Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles. Poly/DMAH@VLDB (2020)
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
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports. J. Biomed. Informatics 110 (2020)
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
Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports. CoRR (2020)
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
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks. J. Am. Medical Informatics Assoc. 27 (1) (2020)
Hong-Jun Yoon, John Gounley, Shang Gao, Mohammed M. Alawad, Arvind Ramanathan, Georgia D. Tourassi
Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC. BHI (2019)
Devanshu Agrawal, Hong-Jun Yoon, Georgia D. Tourassi, Jacob D. Hinkle
Computer-aided detection using non-convolutional neural network Gaussian processes. Medical Imaging: Computer-Aided Diagnosis (2019)
Mohammed M. Alawad, Georgia D. Tourassi
Computationally Efficient Learning of Quality Controlled Word Embeddings for Natural Language Processing. ISVLSI (2019)
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
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. BHI (2019)
S. M. Shamimul Hasan, Donna R. Rivera, Xiao-Cheng Wu, James Blair Christian, Georgia D. Tourassi
A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data. BHI (2019)
Hong-Jun Yoon, John X. Qiu, James Blair Christian, Jacob D. Hinkle, Folami Alamudun, Georgia D. Tourassi
Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks. INNSBDDL (2019)
Abhishek Kumar Dubey, Jacob D. Hinkle, James Blair Christian, Georgia D. Tourassi
Extraction of Tumor Site from Cancer Pathology Reports using Deep Filters. BCB (2019)
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
Classifying cancer pathology reports with hierarchical self-attention networks. Artif. Intell. Medicine 101 (2019)
John X. Qiu, Shang Gao, Mohammed M. Alawad, Noah Schaefferkoetter, Folami Alamudun, Hong-Jun Yoon, Xiao-Cheng Wu, Georgia D. Tourassi
Semi-Supervised Information Extraction for Cancer Pathology Reports. BHI (2019)
Mohammed M. Alawad, Shang Gao, Xiao-Cheng Wu, Eric B. Durbin, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi
Adversarial Training for Privacy-Preserving Deep Learning Model Distribution. IEEE BigData (2019)
Shuayb Zarar, Georgia D. Tourassi, Chris D. Nugent
Guest Editorial: AI Enabled Connected Health Informatics. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Hong-Jun Yoon, John Gounley, M. Todd Young, Georgia D. Tourassi
Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts. IEEE BigData (2019)
Abhishek Kumar Dubey, Hong-Jun Yoon, Georgia D. Tourassi
Inverse Regression for Extraction of Tumor Site from Cancer Pathology Reports. BHI (2019)
John X. Qiu, Hong-Jun Yoon, Paul A. Fearn, Georgia D. Tourassi
Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports. IEEE J. Biomed. Health Informatics 22 (1) (2018)
Shang Gao, Michael T. Young, John X. Qiu, Hong-Jun Yoon, James Blair Christian, Paul A. Fearn, Georgia D. Tourassi, Arvind Ramanathan
Hierarchical attention networks for information extraction from cancer pathology reports. J. Am. Medical Informatics Assoc. 25 (3) (2018)
Hong-Jun Yoon, Sarah Robinson, James Blair Christian, John X. Qiu, Georgia D. Tourassi
Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension. BHI (2018)
Mohammed M. Alawad, Hong-Jun Yoon, Georgia D. Tourassi
Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports. BHI (2018)
Shang Gao, Arvind Ramanathan, Georgia D. Tourassi
Hierarchical Convolutional Attention Networks for Text Classification. Rep4NLP@ACL (2018)
Hong-Jun Yoon, Arvind Ramanathan, Folami Alamudun, Georgia D. Tourassi
Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer. IWBI (2018)
Nicolas W. Hengartner, Leticia Cuellar, Xiao-Cheng Wu, Georgia D. Tourassi, John X. Qiu, James Blair Christian, Tanmoy Bhattacharya
CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules. BMC Bioinform. (18) (2018)
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
Scalable deep text comprehension for Cancer surveillance on high-performance computing. BMC Bioinform. (18) (2018)
Edmon Begoli, Jim Brase, Bambi DeLaRosa, Penelope Jones, Dimitri Kusnezov, Jason Paragas, Rick Stevens, Fred Streitz, Georgia D. Tourassi
Precision Medicine as an Accelerator for Next Generation Cognitive Supercomputing. CoRR (2018)
Mohammed M. Alawad, S. M. Shamimul Hasan, James Blair Christian, Georgia D. Tourassi
Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction. IEEE BigData (2018)
Mohammed M. Alawad, Hong-Jun Yoon, Georgia D. Tourassi
Energy efficient stochastic-based deep spiking neural networks for sparse datasets. IEEE BigData (2017)
Georgia D. Tourassi
Deep learning enabled national cancer surveillance. IEEE BigData (2017)
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
Leveraging Large-Scale Computing for Population Information Integration, Analysis, and Modeling. AMIA (2017)
Folami T. Alamudun, Tracy Hammond, Hong-Jun Yoon, Georgia D. Tourassi
Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology. HCI (14) (2017)
Hong-Jun Yoon, Larry Roberts, Georgia D. Tourassi
Automated histologic grading from free-text pathology reports using graph-of-words features and machine learning. BHI (2017)
Hong-Jun Yoon, Songhua Xu, Georgia D. Tourassi
Predicting lung cancer incidence from air pollution exposures using shapelet-based time series analysis. BHI (2016)
Hong-Jun Yoon, Arvind Ramanathan, Georgia D. Tourassi
Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports. INNS Conference on Big Data (2016)
Georgia D. Tourassi, Hong-Jun Yoon, Songhua Xu
A novel web informatics approach for automated surveillance of cancer mortality trends. J. Biomed. Informatics 61 (2016)
Hong-Jun Yoon, Georgia D. Tourassi
Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics. BHI (2016)
Georgia D. Tourassi, Hong-Jun Yoon, Songhua Xu, Xuesong Han
The utility of web mining for epidemiological research: studying the association between parity and cancer risk. J. Am. Medical Informatics Assoc. 23 (3) (2016)
Folami Alamudun, Hong-Jun Yoon, Tracy Hammond, Kathy Hudson, Garnetta Morin-Ducote, Georgia D. Tourassi
Shapelet analysis of pupil dilation for modeling visuo-cognitive behavior in screening mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Hong-Jun Yoon, Georgia D. Tourassi, Songhua Xu
Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources. SBP (2015)
Yang Liu, Songhua Xu, Georgia D. Tourassi
Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment. SBP (2015)
Songhua Xu, Hong-Jun Yoon, Georgia D. Tourassi
A user-oriented web crawler for selectively acquiring online content in e-health research. Bioinform. 30 (1) (2014)
Yang Liu, Songhua Xu, Hong-Jun Yoon, Georgia D. Tourassi
Extracting Patient Demographics and Personal Medical Information from Online Health Forums. AMIA (2014)
Georgia D. Tourassi, Sophie Voisin, Vincent C. Paquit, Elizabeth A. Krupinski
Research and applications: Investigating the link between radiologists' gaze, diagnostic decision, and image content. J. Am. Medical Informatics Assoc. 20 (6) (2013)
Alex C. Williams, Austin Hitt, Sophie Voisin, Georgia D. Tourassi
Automated assessment of bilateral breast volume asymmetry as a breast cancer biomarker during mammographic screening. Medical Imaging: Computer-Aided Diagnosis (2013)
Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi
The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support. Neural Networks 25 (2012)
Songhua Xu, Georgia D. Tourassi
A novel local learning based approach with application to breast cancer diagnosis. Medical Imaging: Computer-Aided Diagnosis (2012)
Maciej A. Mazurowski, Joseph Y. Lo, Brian P. Harrawood, Georgia D. Tourassi
Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis. J. Biomed. Informatics 44 (5) (2011)
Georgia D. Tourassi, Maciej A. Mazurowski, Elizabeth A. Krupinski
Perception-driven IT-CADe analysis for the detection of masses in screening mammography: initial investigation. Medical Imaging: Computer-Aided Diagnosis (2010)
Maciej A. Mazurowski, Georgia D. Tourassi
Relational representation for improved decisions with an information-theoretic CADe system: initial experience. Medical Imaging: Computer-Aided Diagnosis (2009)
Maciej A. Mazurowski, Georgia D. Tourassi
Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy. IJCNN (2009)
Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi
The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems. IJCNN (2009)
Maciej A. Mazurowski, Jordan M. Malof, Jacek M. Zurada, Georgia D. Tourassi
A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results. Medical Imaging: Computer-Aided Diagnosis (2009)
Georgia D. Tourassi, Brian P. Harrawood
Information-theoretic CAD system in mammography: improved mass detection by incorporating a Gaussian saliency map. Medical Imaging: Computer-Aided Diagnosis (2009)
Swatee Singh, Georgia D. Tourassi, Joseph Y. Lo
Effect of Similarity Metrics and ROI Sizes in Featureless Computer Aided Detection of Breast Masses in Tomosynthesis. Digital Mammography / IWDM (2008)
Maciej A. Mazurowski, Jacek M. Zurada, Georgia D. Tourassi
Reliability Assessment of Ensemble Classifiers: Application in Mammography. Digital Mammography / IWDM (2008)
Maciej A. Mazurowski, Piotr A. Habas, Jacek M. Zurada, Joseph Y. Lo, Jay A. Baker, Georgia D. Tourassi
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. Neural Networks 21 (2-3) (2008)
Piotr A. Habas, Jacek M. Zurada, Georgia D. Tourassi
Case-Specific Reliability Assessment for Improved False Positive Reduction with an Information-Theoretic CAD System. Digital Mammography / IWDM (2008)
Maciej A. Mazurowski, Jacek M. Zurada, Georgia D. Tourassi
Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection. Medical Imaging: Computer-Aided Diagnosis (2008)
Robert C. Ike, Swatee Singh, Brian P. Harrawood, Georgia D. Tourassi
Effect of ROI size on the performance of an information-theoretic CAD system in mammography: multi-size fusion analysis. Medical Imaging: Computer-Aided Diagnosis (2008)
Swatee Singh, Georgia D. Tourassi, Amarpreet S. Chawla, Robert S. Saunders, Ehsan Samei, Joseph Y. Lo
Computer-aided detection of breast masses in tomosynthesis reconstructed volumes using information-theoretic similarity measures. Medical Imaging: Computer-Aided Diagnosis (2008)
Georgia D. Tourassi, Amy C. Sharma, Swatee Singh, Robert S. Saunders, Joseph Y. Lo, Ehsan Samei, Brian P. Harrawood
Knowledge Transfer across Breast Cancer Screening Modalities: A Pilot Study Using an Information-Theoretic CADe System for Mass Detection. Digital Mammography / IWDM (2008)
Nevine H. Eltonsy, Adel Said Elmaghraby, Georgia D. Tourassi
Bilateral Breast Volume Asymmetry in Screening Mammograms as a Potential Marker of Breast Cancer: Preliminary Experience. ICIP (5) (2007)
Georgia D. Tourassi, Brian P. Harrawood, Carey E. Floyd Jr.
Cross-digitizer robustness of a knowledge-based CAD system for mass detection in mammograms. Medical Imaging: Computer-Aided Diagnosis (2007)
Swatee Singh, Georgia D. Tourassi, Joseph Y. Lo
Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures. Medical Imaging: Computer-Aided Diagnosis (2007)
Georgia D. Tourassi, Anna O. Bilska-Wolak, Piotr A. Habas, Carey E. Floyd Jr.
Incorporation of a multiscale texture-based approach to mutual information matching for improved knowledge-based detection of masses in screening mammograms. Medical Imaging: Computer-Aided Diagnosis (2007)
Georgia D. Tourassi, Jonathan L. Jesneck, Maciej A. Mazurowski, Piotr A. Habas
Stacked Generalization in Computer-Assisted Decision Systems: Empirical Comparison of Data Handling Schemes. IJCNN (2007)
Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada
Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms. IEEE Congress on Evolutionary Computation (2007)
Nevine H. Eltonsy, Georgia D. Tourassi, Adel Said Elmaghraby
Contribution of Haar wavelets and MPEG-7 textural features for false positive reduction in a CAD system for the detection of masses in mammograms. Medical Imaging: Computer-Aided Diagnosis (2007)
Nevine H. Eltonsy, Georgia D. Tourassi, Adel Said Elmaghraby
A Concentric Morphology Model for the Detection of Masses in Mammography. IEEE Trans. Medical Imaging 26 (6) (2007)
Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada
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 (2007)
Piotr A. Habas, Jacek M. Zurada, Adel Said Elmaghraby, Georgia D. Tourassi
Particle swarm optimization of neural network CAD systems with clinically relevant objectives. Medical Imaging: Computer-Aided Diagnosis (2007)
Piotr A. Habas, Jacek M. Zurada, Adel Said Elmaghraby, Georgia D. Tourassi
Probabilistic Framework for Reliability Analysis of Information-Theoretic CAD Systems in Mammography. EMBC (2006)
Piotr A. Habas, Jacek M. Zurada, Adel Said Elmaghraby, Georgia D. Tourassi
Confidence-based stratification of CAD recommendations with application to breast cancer detection. Medical Imaging: Image Processing (2006)
Mia K. Markey, Georgia D. Tourassi, Michael Margolis, David M. DeLong
Impact of missing data in evaluating artificial neural networks trained on complete data. Comput. Biol. Medicine 36 (5) (2006)
Nevine H. Eltonsy, Georgia D. Tourassi, Aleksey Fadeev, Adel Said Elmaghraby
Significance of MPEG-7 Textural Features for Improved Mass Detection in Mammography. EMBC (2006)
Georgia D. Tourassi, Nevine H. Eltonsy, Adel Said Elmaghraby, Carey E. Floyd Jr.
Detection of architectural distortion in mammograms using fractal analysis. Medical Imaging: Image Processing (2005)
Aleksey Fadeev, Nevine H. Eltonsy, Georgia D. Tourassi, Robert Martin, Adel Elmaghraby
Adapted morphing model for 3D volume reconstruction applied to abdominal CT images. Medical Imaging: Image-Guided Procedures (2005)
Georgia D. Tourassi, Nevine H. Eltonsy, Adel Said Elmaghraby, Carey E. Floyd Jr.
Automated detection of mammographic masses: preliminary assessment of an information-theoretic CAD scheme for reduction of false positives. Medical Imaging: Image Processing (2005)
Mark P. Wachowiak, Renata Smolíkova, Georgia D. Tourassi, Adel Said Elmaghraby
Estimation of generalized entropies with sample spacing. Pattern Anal. Appl. 8 (1-2) (2005)
Piotr A. Habas, Georgia D. Tourassi, Nevine H. Eltonsy, Adel Said Elmaghraby, Jacek M. Zurada
A novel technique for assessing the case-specific reliability of decisions made by CAD tools. Medical Imaging: Image Processing (2005)
Mark P. Wachowiak, Renata Smolíkova, Georgia D. Tourassi, Adel Said Elmaghraby
Estimation of generalized entropies with sample spacing. Pattern Anal. Appl. 8 (3) (2005)
Nevine H. Eltonsy, Georgia D. Tourassi, Piotr A. Habas, Adel Said Elmaghraby
DNA: directional neighborhood analysis for detection of breast masses in screening mammograms. Medical Imaging: Image Processing (2005)
H. Erin Rickard, Georgia D. Tourassi, Adel Said Elmaghraby
Unsupervised tissue segmentation in screening mammograms for automated breast density assessment. Medical Imaging: Image Processing (2004)
Georgia D. Tourassi, Carey E. Floyd Jr.
Performance evaluation of an information-theoretic CAD scheme for the detection of mammographic architectural distortion. Medical Imaging: Image Processing (2004)
Georgia D. Tourassi, Carey E. Floyd Jr.
Computer-assisted diagnosis of mammographic masses using an information-theoretic image retrieval scheme with BIRADs-based relevance feedback. Medical Imaging: Image Processing (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Georgia D. Tourassi