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Computer Science

D-Index
59
Citations
13052
World Ranking
3443
National Ranking
1663

Overview

Dina Demner-Fushman is a researcher affiliated with the National Institutes of Health in the United States. Their work primarily focuses on computer science, with an emphasis on artificial intelligence and its applications in biomedical domains.

Their body of research spans multiple subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Radiology, Nuclear Medicine and Imaging
  • Information Systems

Demner-Fushman has contributed extensively to topics such as topic modeling, biomedical text mining and ontologies, and natural language processing techniques. Other significant research areas include multimodal machine learning applications, advanced image and video retrieval techniques, image retrieval and classification techniques, and the use of artificial intelligence in healthcare and education.

Frequent publication venues for Demner-Fushman include:

  • arXiv (Cornell University)
  • Scientific Data
  • Journal of Biomedical Informatics
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of the American Medical Informatics Association

Their collaborative network consists of frequently coauthoring with researchers such as Asma Ben Abacha, Deepak Gupta, Kirk Roberts, Steven Bedrick, and Kyle Lo.

Demner-Fushman's recent papers include:

  • Large language models encode clinical knowledge, 2023, published in Nature
  • The TRIPOD-LLM reporting guideline for studies using large language models, 2025, published in Nature Medicine
  • TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19, 2020, published in Journal of the American Medical Informatics Association
  • TREC-COVID, 2020, published in ACM SIGIR Forum
  • VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019, 2024, published in Zenodo (CERN European Organization for Nuclear Research)

Best Publications

  • Preparing a collection of radiology examinations for distribution and retrieval

    Dina Demner-Fushman;Marc D. Kohli;Marc B. Rosenman;Sonya E. Shooshan

  • Evaluation of PICO as a Knowledge Representation for Clinical Questions

    Xiaoli Huang;Jimmy J. Lin;Dina Demner-Fushman

  • Methodological Review: What can natural language processing do for clinical decision support?

    Dina Demner-Fushman;Wendy W. Chapman;Clement J. McDonald

  • Frontiers of biomedical text mining: current progress

    Pierre Zweigenbaum;Dina Demner-Fushman;Hong Yu;Kevin Bretonnel Cohen

  • Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation

    Hoo-Chang Shin;Kirk Roberts;Le Lu;Dina Demner-Fushman

  • Answering Clinical Questions with Knowledge-Based and Statistical Techniques

    Dina Demner-Fushman;Jimmy Lin

  • A dataset of clinically generated visual questions and answers about radiology images

    Jason J. Lau;Soumya Gayen;Asma Ben Abacha;Dina Demner-Fushman

  • MetaMap Lite: an evaluation of a new Java implementation of MetaMap

    Dina Demner-Fushman;Willie J Rogers;Alan R Aronson

  • Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013.

    Jayashree Kalpathy-Cramer;Alba Garcia Seco de Herrera;Dina Demner-Fushman;Sameer K. Antani

  • A question-entailment approach to question answering.

    Asma Ben Abacha;Dina Demner-Fushman

  • Biomedical Text Mining: A Survey of Recent Progress

    Matthew S. Simpson;Dina Demner-Fushman

  • Overview of the ImageCLEF 2013 medical tasks

    Alba Garcia Seco de Herrera;Jayashree Kalpathy-Cramer;Dina Demner-Fushman;Sameer K. Antani

  • Design and Development of a Multimodal Biomedical Information Retrieval System

    Dina Demner-Fushman;Sameer K. Antani;Matthew S. Simpson;George R. Thoma

  • Overview of the TREC 2016 Clinical Decision Support Track.

    Kirk Roberts;Dina Demner-Fushman;Ellen M. Voorhees;William R. Hersh

  • Overview of the ImageCLEF 2012 medical image retrieval and classiFIcation tasks

    Henning Müller;Henning Müller;Alba Garcia Seco de Herrera;Jayashree Kalpathy-Cramer;Dina Demner-Fushman

  • Extracting semantic predications from Medline citations for pharmacogenomics

    Caroline B Ahlers;Marcelo Fiszman;Dina Demner-Fushman;François-Michel Lang

  • Word sense disambiguation by selecting the best semantic type based on Journal Descriptor Indexing: Preliminary experiment

    Susanne M. Humphrey;Willie J. Rogers;Halil Kilicoglu;Dina Demner-Fushman

  • Essie: A Concept-based Search Engine for Structured Biomedical Text

    Nicholas C. Ide;Russell F. Loane;Dina Demner-Fushman

  • Word sense disambiguation by selecting the best semantic type based on Journal Descriptor Indexing: Preliminary experiment

    Unknown

  • TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19.

    Kirk Roberts;Tasmeer Alam;Steven Bedrick;Dina Demner-Fushman

  • VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019.

    Asma Ben Abacha;Sadid A. Hasan;Vivek V. Datla;Joey Liu

Frequent Co-Authors

George R. Thoma
George R. Thoma National Institutes of Health
Sameer Antani
Sameer Antani National Institutes of Health
Alan R. Aronson
Alan R. Aronson National Institutes of Health
Jimmy Lin
Jimmy Lin University of Waterloo
William R. Hersh
William R. Hersh Oregon Health & Science University
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Ellen M. Voorhees
Ellen M. Voorhees National Institute of Standards and Technology
Sophia Ananiadou
Sophia Ananiadou University of Manchester
Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Douglas W. Oard
Douglas W. Oard University of Maryland, College Park

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