Georgia D. Tourassi

Orcid: 0000-0002-9418-9638

According to our database1, Georgia D. Tourassi authored at least 115 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Development of message passing-based graph convolutional networks for classifying cancer pathology reports.
BMC Medical Informatics Decis. Mak., December, 2024

Deep learning uncertainty quantification for clinical text classification.
J. Biomed. Informatics, January, 2024

Adiabatic Quantum Support Vector Machines.
CoRR, 2024

Topological Interpretability for Deep Learning.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2024

Powering Progress in Leadership Computing in the Era of Generative AI and Energy Constraints.
Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, 2024

2023
Evaluation of pre-training large language models on leadership-class supercomputers.
J. Supercomput., December, 2023

Guest Editorial Advancing Biomedical Discovery and Healthcare Delivery Through Digital Technology.
IEEE J. Biomed. Health Informatics, June, 2023

Characterizing Quantum Classifier Utility in Natural Language Processing Workflows.
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
Limitations of Transformers on Clinical Text Classification.
IEEE J. Biomed. Health Informatics, 2021

Privacy-Preserving Deep Learning NLP Models for Cancer Registries.
IEEE Trans. Emerg. Top. Comput., 2021

Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping.
CoRR, 2021

Deep active learning for classifying cancer pathology reports.
BMC Bioinform., 2021

2020
Knowledge Graph-Enabled Cancer Data Analytics.
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
Guest Editorial: AI Enabled Connected Health Informatics.
IEEE J. Biomed. Health Informatics, 2019

Classifying cancer pathology reports with hierarchical self-attention networks.
Artif. Intell. Medicine, 2019

Computer-aided detection using non-convolutional neural network Gaussian processes.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 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

Adversarial Training for Privacy-Preserving Deep Learning Model Distribution.
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

Semi-Supervised Information Extraction for Cancer Pathology Reports.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Inverse Regression for Extraction of Tumor Site from Cancer Pathology Reports.
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

Extraction of Tumor Site from Cancer Pathology Reports using Deep Filters.
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

Precision Medicine as an Accelerator for Next Generation Cognitive Supercomputing.
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

Hierarchical Convolutional Attention Networks for Text Classification.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Deep radiogenomics for predicting clinical phenotypes in invasive breast cancer.
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

Deep learning enabled national cancer surveillance.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Energy efficient stochastic-based deep spiking neural networks for sparse datasets.
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

A novel local learning based approach with application to breast cancer diagnosis.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 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, San Diego, 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, San Diego, 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, San Diego, 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, San Diego, 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

Reliability Assessment of Ensemble Classifiers: Application in Mammography.
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
A Concentric Morphology Model for the Detection of Masses in Mammography.
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, San Diego, 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, San Diego, 2007

Breast mass detection in tomosynthesis projection images using information-theoretic similarity measures.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007

Particle swarm optimization of neural network CAD systems with clinically relevant objectives.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 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, San Diego, 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

Significance of MPEG-7 Textural Features for Improved Mass Detection in Mammography.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Estimation of generalized entropies with sample spacing.
Pattern Anal. Appl., 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

Detection of architectural distortion in mammograms using fractal analysis.
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

Adapted morphing model for 3D volume reconstruction applied to abdominal CT images.
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
Self-organizing map for cluster analysis of a breast cancer database.
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
Perceptron error surface analysis: a case study in breast cancer diagnosis.
Comput. Biol. Medicine, 2002

Cluster analysis of BI-RADS descriptions of biopsy-proven breast lesions.
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
Fractal Texture Analysis of Perfusion Lung Scans.
Comput. Biomed. Res., 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

Case-based reasoning as a computer aid to diagnosis.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

A constraint satisfaction neural network for medical diagnosis.
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


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