Match tier Likely match
Presence Formerly Arkansas
Last published 2025
Sources OpenAlex · ORCID
Refreshed 2026-10-05

Reza Iranzad

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

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University of Arkansas

Also affiliated: Sharif University of Technology (2021); FedEx (United States) (2024)

Formerly Arkansas Affiliated with University of Arkansas through 2024.

4 h-index 7 pubs 290 cited

Research Areas

Biomedical Subjects

  • Intravital Microscopy
  • Machine Learning
  • Algorithms
  • Blood Platelets
  • Lung
  • Microscopy, Fluorescence
  • Neutrophils
  • Animals
  • Cell Aggregation
  • Image Interpretation, Computer-Assisted
  • Mice, Inbred C57BL
  • Predictive Value of Tests
  • Reproducibility of Results
  • Mice

Links

ORCID Research Group

OverviewAI-generated summary

Reza Iranzad's research focuses on the application of statistical learning and image processing techniques to medical data. He has explored gradient boosted trees and other tree-based ensemble methods for analyzing spatial data, including their use in medical imaging. Iranzad has investigated the prediction of survival outcomes for non-small cell lung cancer patients using multitask learning radiomics on longitudinal imaging data. His work also includes the development of structured adaptive boosting trees for detecting multicellular aggregates in fluorescence intravital microscopy, specifically studying neutrophils and blood platelets in animal models. Iranzad also has experience in developing operational models for healthcare settings, such as a model for operating room scheduling. His scholarly metrics include an h-index of 4, with 7 total publications and 290 citations.

Metrics

  • h-index: 4
  • Publications: 7
  • Citations: 290

Selected Publications

  • Structured adaptive boosting trees for detection of multicellular aggregates in fluorescence intravital microscopy (2024)
    Microvascular Research 1 citation DOI OpenAlex
  • Multitask Learning Radiomics on Longitudinal Imaging to Predict Survival Outcomes following Risk-Adaptive Chemoradiation for Non-Small Cell Lung Cancer (2022)
    Cancers 39 citations DOI OpenAlex
  • Gradient boosted trees for spatial data and its application to medical imaging data (2021)
    IISE Transactions on Healthcare Systems Engineering 11 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

17 Collaborators 6 Institutions 2 Countries

Top Collaborators

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