Lawrence Tarbox

Associate Professor

University of Arkansas for Medical Sciences

faculty

Biomedical Informatics, College of Medicine

LTarbox@uams.edu

12 h-index 29 pubs 5,023 cited

Research Areas

Semantic Web and Ontologies Radiomics and Machine Learning in Medical Imaging Medical Imaging Techniques and Applications Cancer Treatment and Pharmacology Health and Medical Research Impacts Bioinformatics and Genomic Networks Natural Language Processing Techniques

Links

ORCID Lab Website UAMS TRI Profile

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OverviewAI-generated summary

Lawrence Tarbox's research focuses on the development and application of informatics standards and methodologies within medical imaging and oncology. He has published on the Operational Ontology for Oncology (O3) and Operational Ontology for Radiation Oncology (OORO), which aim to standardize the use of real-world data from cancer patients for clinical and research purposes. Tarbox's work also addresses technical aspects of medical imaging, including a DICOM dataset for de-identification evaluation and guidance for vendor-neutral reject analysis in radiography.

His recent publications explore advanced computational techniques for cancer classification, such as harnessing native-resolution 2D embeddings with self-supervised foundation models for lung cancer detection. Tarbox is also investigating the potential for virtual trials in medical imaging innovation and regulatory science. His scholarship metrics include an h-index of 12, 29 total publications, and over 5,000 citations, with recent activity in 2025. He collaborates with several researchers at the University of Arkansas for Medical Sciences, including Jeff Tobler, Phillip Farmer, Fred Prior, and Michael Rutherford.

Metrics

  • h-index: 12
  • Publications: 29
  • Citations: 5,023

Selected Publications

  • Harnessing Native-Resolution 2D Embeddings for Lung Cancer Classification: A Feasibility Study with the RAD-DINO Self-supervised Foundation Model (2025) DOI
  • Toward widespread use of virtual trials in medical imaging innovation and regulatory science (2024) DOI
  • Operational Ontology for Radiation Oncology (OORO): A Professional Society-Based, Multi-Stakeholder Consensus Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data (2023) DOI
  • Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer (2023) DOI
  • AAPM task group report 305: Guidance for standardization of vendor‐neutral reject analysis in radiography (2023) DOI
  • Supplemental Material to AAPM Task Group Report 305: Proposed IHE Profile (2023) DOI
  • Informatics infrastructure in a rural pediatric clinical trials network: Matching specific clinical research needs with best practices and industry guidelines (2023) DOI
  • Informatics Infrastructure in a Rural Pediatric Clinical Trials Network: Matching Specific Clinical Research Needs with Best Practices and Industry Guidelines (2022) DOI
  • A DICOM dataset for evaluation of medical image de-identification (2021) DOI

Grants & Funding

  • TO3 TCIA NLST SupportL Radiology/Pathology NIH/Nat. Cancer Institute - Pass Through: Leidos Co-Investigator
  • Pragmatic Randomized Trial of Proton vs. Photon Therapy for Patients with Non-Metastatic Breast Cancer Receiving Comprehensive Nodal Radiation: A Radiotherapy Comparative Effectiveness (RADCOMP) Trial - Continuation Patient-Centered Outcomes Research Institute - Pass Through: Washington University Co-Investigator
  • TCIA Sustainment and Scalability - Platforms for Quantitative Imaging Informatics in Precision Medicine NIH Co-Investigator
  • CDC-NIOSH Chest Image Repository Centers for Disease Control & Prevention - Pass Through: Washington University Principal Investigator
  • NTX XXII Environment & Neurodevelopmental Disorders (CDC) Centers for Disease Control & Prevention Principal Investigator
  • CDC-NIOSH Chest Image Repository Centers for Disease Control & Prevention - Pass Through: Washington University Principal Investigator
  • Robust and Trusted Data Analytics (DART) National Science Foundation - Pass Through: Arkansas Economic Development Commission Co-Investigator
  • Resources for development and validation of Radiomic analyses & Adaptive Therapy NIH Co-Investigator

Collaborators

Researchers in the database who share publications

Jeff Tobler University of Arkansas for Medical Sciences 2 shared publications Phillip Farmer University of Arkansas for Medical Sciences 1 shared publication Fred Prior University of Arkansas for Medical Sciences 1 shared publication Michael Rutherford University of Arkansas for Medical Sciences 1 shared publication Quasar Jarosz University of Arkansas for Medical Sciences 1 shared publication Betty A. Levine University of Arkansas for Medical Sciences 1 shared publication Geri Blake University of Arkansas for Medical Sciences 1 shared publication Linda Larson‐Prior University of Arkansas for Medical Sciences 1 shared publication

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