Andriy Fedorov

University of Maryland, Baltimore — United States

Medicine · Health Sciences

35h-index22.5kcitations226works7.42yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(95), Prostate Cancer Diagnosis and Treatment(46), Advanced MRI Techniques and Applications(40), Medical Image Segmentation Techniques(36), MRI in cancer diagnosis(36)

Publications226 total

Benchmarking of deep learning methods for generic MRI multi-organ abdominal segmentation
Journal of Medical Imaging·2025Open Access
The Cancer Imaging Data Commons: Paving the Way for Open Science
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
AI generated annotations for Breast, Brain, Liver, Lungs, and Prostate cancer collections in the National Cancer Institute Imaging Data Commons
Scientific Data·2025· 1 citedOpen Access
Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation
arXiv (Cornell University)·2025Open Access
Foundation model embeddings for quantitative tumor imaging biomarkers
2025Open Access
Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0
Radiology·2025· 7 citedOpen Access
Opportunistic assessment of steatotic liver disease in lung cancer screening eligible individuals
Journal of Internal Medicine·2025Open Access
Vision Foundation Models for Computed Tomography
arXiv (Cornell University)·2025· 4 citedOpen Access
AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons
Scientific Data·2024· 4 citedOpen Access
Quantitative Prostate MRI, From the <i>AJR</i> Special Series on Quantitative Imaging
American Journal of Roentgenology·2024· 1 citedOpen Access
AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons
arXiv (Cornell University)·2024Open Access
End-to-end reproducible AI pipelines in radiology using the cloud
Nature Communications·2024· 12 citedOpen Access
Best practices to evaluate the impact of biomedical research software—metric collection beyond citations
Bioinformatics·2024· 6 citedOpen Access
Supplementary Video S2 from &lt;i&gt;dcmqi&lt;/i&gt;: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM
2024Open Access
Supplementary Video S1 from &lt;i&gt;dcmqi&lt;/i&gt;: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM
2024Open Access
Supplementary Video S2 from &lt;i&gt;dcmqi&lt;/i&gt;: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM
2024Open Access
Supplementary Video S3 from &lt;i&gt;dcmqi&lt;/i&gt;: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM
2024Open Access
Supplementary Video S3 from &lt;i&gt;dcmqi&lt;/i&gt;: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM
2024Open Access
Data from &lt;i&gt;dcmqi&lt;/i&gt;: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM
2024· 1 citedOpen Access
Supplementary Video S1 from &lt;i&gt;dcmqi&lt;/i&gt;: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM
2024Open Access
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Frequent Co-authors

Clare M. Tempany(20), Ron Kikinis(17), Fiona M. Fennessy(10), Steve Pieper(9), Robert V. Mulkern(9), Tina Kapur(8), Fiona Fennessy(7), David Clunie(7), William M. Wells(7), Hugo J.W.L. Aerts(6), Sandeep Gupta(6), Tobias Penzkofer(6), Kemal Tuncali(6), Márk Vangel(6), Jayashree Kalpathy–Cramer(5), Nikos Chrisochoides(5), Dariya Malyarenko(5), Charles M. Laymon(5), Thomas L. Chenevert(5), James M. Mountz(5)