Georgia D. Tourassi
Orcid: 0000-0002-9418-9638
According to our database1,
Georgia D. Tourassi
authored at least 113 papers
between 1996 and 2024.
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Bibliography
2024
J. Biomed. Informatics, January, 2024
2023
J. Supercomput., December, 2023
Guest Editorial Advancing Biomedical Discovery and Healthcare Delivery Through Digital Technology.
IEEE J. Biomed. Health Informatics, June, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023
Computational Medicine in the Exascale Computing Era: Applications at the Oak Ridge Leadership Computing Facility.
Proceedings of the IEEE John Vincent Atanasoff International Symposium on Modern Computing, 2023
2022
A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification.
IEEE J. Biomed. Health Informatics, 2022
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types.
J. Biomed. Informatics, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Emerg. Top. Comput., 2021
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping.
CoRR, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports.
J. Biomed. Informatics, 2020
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.
J. Am. Medical Informatics Assoc., 2020
Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports.
CoRR, 2020
Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Artif. Intell. Medicine, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Computationally Efficient Learning of Quality Controlled Word Embeddings for Natural Language Processing.
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019
Selective Information Extraction Strategies for Cancer Pathology Reports with Convolutional Neural Networks.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
Information Extraction from Cancer Pathology Reports with Graph Convolution Networks for Natural Language Texts.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Model-based Hyperparameter Optimization of Convolutional Neural Networks for Information Extraction from Cancer Pathology Reports on HPC.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports.
IEEE J. Biomed. Health Informatics, 2018
Hierarchical attention networks for information extraction from cancer pathology reports.
J. Am. Medical Informatics Assoc., 2018
CoRR, 2018
Scalable deep text comprehension for Cancer surveillance on high-performance computing.
BMC Bioinform., 2018
CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules.
BMC Bioinform., 2018
Proceedings of The Third Workshop on Representation Learning for NLP, 2018
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
Coarse-to-fine multi-task training of convolutional neural networks for automated information extraction from cancer pathology reports.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Geometry and Gesture-Based Features from Saccadic Eye-Movement as a Biometric in Radiology.
Proceedings of the Augmented Cognition. Neurocognition and Machine Learning, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Automated histologic grading from free-text pathology reports using graph-of-words features and machine learning.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
Leveraging Large-Scale Computing for Population Information Integration, Analysis, and Modeling.
Proceedings of the AMIA 2017, 2017
2016
A novel web informatics approach for automated surveillance of cancer mortality trends.
J. Biomed. Informatics, 2016
The utility of web mining for epidemiological research: studying the association between parity and cancer risk.
J. Am. Medical Informatics Assoc., 2016
Shapelet analysis of pupil dilation for modeling visuo-cognitive behavior in screening mammography.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
Multi-task Deep Neural Networks for Automated Extraction of Primary Site and Laterality Information from Cancer Pathology Reports.
Proceedings of the Advances in Big Data, 2016
Predicting lung cancer incidence from air pollution exposures using shapelet-based time series analysis.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
Investigating the association between sociodemographic factors and lung cancer risk using cyber informatics.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015
Detecting Rumors Through Modeling Information Propagation Networks in a Social Media Environment.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015
2014
A user-oriented web crawler for selectively acquiring online content in e-health research.
Bioinform., 2014
Extracting Patient Demographics and Personal Medical Information from Online Health Forums.
Proceedings of the AMIA 2014, 2014
2013
Research and applications: Investigating the link between radiologists' gaze, diagnostic decision, and image content.
J. Am. Medical Informatics Assoc., 2013
Automated assessment of bilateral breast volume asymmetry as a breast cancer biomarker during mammographic screening.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support.
Neural Networks, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
2011
Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis.
J. Biomed. Informatics, 2011
2010
Perception-driven IT-CADe analysis for the detection of masses in screening mammography: initial investigation.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
2009
Information-theoretic CAD system in mammography: improved mass detection by incorporating a Gaussian saliency map.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Relational representation for improved decisions with an information-theoretic CADe system: initial experience.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy.
Proceedings of the International Joint Conference on Neural Networks, 2009
The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems.
Proceedings of the International Joint Conference on Neural Networks, 2009
2008
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance.
Neural Networks, 2008
Computer-aided detection of breast masses in tomosynthesis reconstructed volumes using information-theoretic similarity measures.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Effect of ROI size on the performance of an information-theoretic CAD system in mammography: multi-size fusion analysis.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Knowledge Transfer across Breast Cancer Screening Modalities: A Pilot Study Using an Information-Theoretic CADe System for Mass Detection.
Proceedings of the Digital Mammography, 2008
Effect of Similarity Metrics and ROI Sizes in Featureless Computer Aided Detection of Breast Masses in Tomosynthesis.
Proceedings of the Digital Mammography, 2008
Proceedings of the Digital Mammography, 2008
Case-Specific Reliability Assessment for Improved False Positive Reduction with an Information-Theoretic CAD System.
Proceedings of the Digital Mammography, 2008
2007
IEEE Trans. Medical Imaging, 2007
Cross-digitizer robustness of a knowledge-based CAD system for mass detection in mammograms.
Proceedings of the Medical Imaging 2007: 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.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Particle swarm optimization of neural network CAD systems with clinically relevant objectives.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 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.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
Stacked Generalization in Computer-Assisted Decision Systems: Empirical Comparison of Data Handling Schemes.
Proceedings of the International Joint Conference on Neural Networks, 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.
Proceedings of the International Joint Conference on Neural Networks, 2007
Bilateral Breast Volume Asymmetry in Screening Mammograms as a Potential Marker of Breast Cancer: Preliminary Experience.
Proceedings of the International Conference on Image Processing, 2007
Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Impact of missing data in evaluating artificial neural networks trained on complete data.
Comput. Biol. Medicine, 2006
Confidence-based stratification of CAD recommendations with application to breast cancer detection.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Probabilistic Framework for Reliability Analysis of Information-Theoretic CAD Systems in Mammography.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
Automated detection of mammographic masses: preliminary assessment of an information-theoretic CAD scheme for reduction of false positives.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
A novel technique for assessing the case-specific reliability of decisions made by CAD tools.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
DNA: directional neighborhood analysis for detection of breast masses in screening mammograms.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Proceedings of the Medical Imaging 2005: Visualization, 2005
2004
Computer-assisted diagnosis of mammographic masses using an information-theoretic image retrieval scheme with BIRADs-based relevance feedback.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Performance evaluation of an information-theoretic CAD scheme for the detection of mammographic architectural distortion.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Unsupervised tissue segmentation in screening mammograms for automated breast density assessment.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
2003
Artif. Intell. Medicine, 2003
Similarity metrics based on nonadditive entropies for 2D-3D multimodal biomedical image registration.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Content-based image retrieval as a computer aid for the detection of mammographic masses.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Validation of a constraint satisfaction neural network for breast cancer disgnosis: new results from 1030 cases.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
2002
Comput. Biol. Medicine, 2002
Proceedings of the Medical Imaging 2002: Image Processing, 2002
2001
Multifractal texture analysis of perfusion lung scans as a potential diagnostic tool for acute pulmonary embolism.
Comput. Biol. Medicine, 2001
2000
Use of a constraint satisfaction neural network for breast cancer diagnosis and dynamic scenarios simulation.
Proceedings of the Medical Imaging 2000: Image Processing, 2000
1999
Java interface to a computer-aided diagnosis system for acute pulmonary embolism using PIOPED findings.
Proceedings of the Medical Imaging 1999: Image Processing, 1999
Proceedings of the Medical Imaging 1999: Image Processing, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
1997
An artificial neural network to predict mortality in patients who undergo percutaneous coronary interventions.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
Use of genetic algorithms for computer-aided diagnosis of breast cancers from image features.
Proceedings of the Medical Imaging 1996: Image Processing, 1996