Tran Anh Tuan Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

ARS

University of Arkansas at Fayetteville

faculty

8 h-index 53 pubs 355 cited

Research Areas

Radiomics and Machine Learning in Medical Imaging Advanced Neural Network Applications Medical Imaging Techniques and Applications Neurological disorders and treatments Dementia and Cognitive Impairment Research Emergency and Acute Care Studies Health and Medical Research Impacts

Links

ORCID

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OverviewAI-generated summary

Tran Anh Tuan's research focuses on the application of advanced computational methods, particularly deep learning and machine learning, to medical imaging and prediction tasks. His work investigates the development and validation of models for improving the robustness and generalizability of segmentation and classification in neuroimaging. This includes developing uncertainty-aware deep learning models for predicting hematoma expansion from head CT scans and assessing outcomes in stroke patients based on CT angiography.

Metrics

  • h-index: 8
  • Publications: 53
  • Citations: 355

Selected Publications

  • Land8Fire: A Complete Study on Wildfire Segmentation Through Comprehensive Review, Human-Annotated Multispectral Dataset, and Extensive Benchmarking (2025) DOI

Collaborators

Researchers in the database who share publications

Sandra D. Ekşioğlu University of Arkansas at Fayetteville 1 shared publication Chase Rainwater University of Arkansas at Fayetteville 1 shared publication Jackson Cothren University of Arkansas at Fayetteville 1 shared publication Enric Martı́ University of Arkansas at Fayetteville 1 shared publication Minh C. Tran University of Arkansas at Fayetteville 1 shared publication

Similar Researchers

Based on overlapping research topics

Ibsa Jalata University of Arkansas at Fayetteville
Radiomics and Machine Learning in Medical Imaging Advanced Neural Network Applications Medical Imaging Techniques and Applications
Good match 4 shared topics
Salavador Mendiola Philander Smith College
Radiomics and Machine Learning in Medical Imaging Advanced Neural Network Applications Medical Imaging Techniques and Applications
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Sam Davis Omekara Philander Smith College
Radiomics and Machine Learning in Medical Imaging Advanced Neural Network Applications Medical Imaging Techniques and Applications
Good match 4 shared topics
Scott Harter University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging Advanced Neural Network Applications Medical Imaging Techniques and Applications
Good match 3 shared topics
Noah Nalley Ouachita Baptist University
Radiomics and Machine Learning in Medical Imaging Advanced Neural Network Applications Medical Imaging Techniques and Applications
Good match 3 shared topics
R. L. Carter University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications Neurological disorders and treatments Emergency and Acute Care Studies
Good match 4 shared topics