World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7833
World Ranking
8780
National Ranking
3753

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2017 - SPIE Fellow
  • 2015 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Georgia D. Tourassi is affiliated with Oak Ridge National Laboratory in the United States. Their research spans the intersection of computer science, biochemistry, genetics, molecular biology, and medicine, with a particular focus on artificial intelligence and its applications in healthcare and biomedical domains.

Their main fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology
  • Medicine

Within these fields, they have contributed extensively to subfields such as:

  • Artificial Intelligence
  • Molecular Biology
  • Health Informatics
  • Biophysics
  • Radiology, Nuclear Medicine and Imaging

Their research covers a variety of topics, notably:

  • Topic Modeling
  • Machine Learning in Healthcare
  • Artificial Intelligence in Healthcare and Education
  • Biomedical Text Mining and Ontologies
  • Cell Image Analysis Techniques
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging

Georgia D. Tourassi has produced numerous publications, with frequent contributions to the following journals and venues:

  • IEEE Journal of Biomedical and Health Informatics
  • arXiv (Cornell University)
  • Medical Physics
  • Journal of Biomedical Informatics
  • bioRxiv (Cold Spring Harbor Laboratory)

Some recent papers authored or co-authored by them include:

  • "Artificial intelligence in cancer research, diagnosis and therapy," 2021, Nature reviews. Cancer
  • "Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program," 2024, Science
  • "Limitations of Transformers on Clinical Text Classification," 2021, IEEE Journal of Biomedical and Health Informatics
  • "AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging," 2022, Medical Physics
  • "Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types," 2021, Journal of Biomedical Informatics

The scientist has collaborated extensively with peers, including frequent co-authors such as:

  • Eric B. Durbin
  • Linda Coyle
  • Jennifer A. Doherty
  • Xiao-Cheng Wu
  • Antoinette M. Stroup

Georgia D. Tourassi has been recognized by several professional organizations, being awarded the Fellowships of the American Association for the Advancement of Science (AAAS) in 2020, SPIE Fellow in 2017, and Fellow of the Indian National Academy of Engineering (INAE) in 2015.

Best Publications

  • 2008 Special Issue: 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

  • 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

  • Medical Imaging 2015: Computer-Aided Diagnosis

    Lubomir M. Hadjiiski;Georgia D. Tourassi

  • Application of the mutual information criterion for feature selection in computer-aided diagnosis.

    Georgia D. Tourassi;Erik D. Frederick;Mia K. Markey;Carey E. Floyd

  • Journey toward computer-aided diagnosis: role of image texture analysis.

    Georgia D. Tourassi

  • Recent Advances in Chest Radiography

    H. Page McAdams;Ehsan Samei;James Dobbins;Georgia D. Tourassi

  • A Concentric Morphology Model for the Detection of Masses in Mammography

    N.H. Eltonsy;G.D. Tourassi;A.S. Elmaghraby

  • Artificial intelligence in cancer research, diagnosis and therapy

    Olivier Elemento;Christina Leslie;Johan Lundin;Johan Lundin;Georgia Tourassi

  • Computer-assisted detection of mammographic masses: a template matching scheme based on mutual information.

    Georgia D. Tourassi;Rene Vargas-Voracek;David M. Catarious;Carey E. Floyd

  • Evaluation of computer-aided detection and diagnosis systems

    Nicholas Petrick;Berkman Sahiner;Samuel G. Armato;Alberto Bert

  • Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records

    Guergana K Savova;Ioana Danciu;Folami Alamudun;Timothy Miller;Timothy Miller

  • Self-organizing map for cluster analysis of a breast cancer database

    Mia K. Markey;Joseph Y. Lo;Georgia D. Tourassi;Carey E. Floyd

  • Transforming Epidemiology for 21st Century Medicine and Public Health

    Muin J. Khoury;Tram Kim Lam;John P.A. Ioannidis;Patricia Hartge

  • Deep Learning for Automated Extraction of Primary Sites From Cancer Pathology Reports

    John X. Qiu;Hong-Jun Yoon;Paul A. Fearn;Georgia D. Tourassi

  • Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms.

    Georgia D. Tourassi;Brian Harrawood;Swatee Singh;Joseph Y. Lo

  • Methodology for generating a 3D computerized breast phantom from empirical data.

    Christina M. Li;W. Paul Segars;Georgia D. Tourassi;John M. Boone

  • Hierarchical attention networks for information extraction from cancer pathology reports.

    Shang Gao;Michael T Young;John X Qiu;Hong-Jun Yoon

  • Limitations of Transformers on Clinical Text Classification

    Shang Gao;Mohammed Alawad;M. Todd Young;John Gounley

  • LUNGx Challenge for computerized lung nodule classification.

    Samuel G. Armato;Karen Drukker;Feng Li;Lubomir Hadjiiski

  • Acute pulmonary embolism: artificial neural network approach for diagnosis.

    G D Tourassi;C E Floyd;H D Sostman;R E Coleman

  • A study on the computerized fractal analysis of architectural distortion in screening mammograms.

    Georgia D Tourassi;David M Delong;Carey E Floyd

Frequent Co-Authors

Joseph Y. Lo
Joseph Y. Lo Duke University
Maciej A. Mazurowski
Maciej A. Mazurowski Duke University
Jacek M. Zurada
Jacek M. Zurada University of Louisville
Jennifer A. Doherty
Jennifer A. Doherty University of Utah
Ehsan Samei
Ehsan Samei Duke University
Lubomir M. Hadjiiski
Lubomir M. Hadjiiski University of Michigan–Ann Arbor
Amy C. Justice
Amy C. Justice Yale University
Rick Stevens
Rick Stevens Argonne National Laboratory
Elizabeth A. Krupinski
Elizabeth A. Krupinski Emory University
Thomas Brettin
Thomas Brettin Argonne National Laboratory

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