Keyvan Farahani

National Institutes of Health — United States

Medicine · Health Sciences

45h-index17.4kcitations208works17.22yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(67), Advanced MRI Techniques and Applications(44), AI in cancer detection(27), Ultrasound and Hyperthermia Applications(27), Medical Imaging Techniques and Applications(25)

Publications204 total

Digital pathology imaging artificial intelligence in cancer research and clinical trials: An NCI workshop report
Journal of Pathology Informatics·2025Open Access
Medical Image De-Identification Resources: Synthetic DICOM Data and Tools for Validation
arXiv (Cornell University)·2025Open Access
Medical Image De-Identification Benchmark Challenge
arXiv (Cornell University)·2025Open Access
Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches
UNC Libraries·2025Open Access
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
The Journal of Machine Learning for Biomedical Imaging·2025· 6 citedOpen Access
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
The Journal of Machine Learning for Biomedical Imaging·2025· 2 citedOpen Access
Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI
arXiv (Cornell University)·2025Open Access
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
The Journal of Machine Learning for Biomedical Imaging·2025· 4 cited
Insights into early acne pathogenesis: Exploring intercellular dynamics and key dysregulated genes
Cell Signaling·2025Open Access
Measuring Subtle HD Data Representation and Multimodal Imaging Phenotype Embedding for Precision Medicine
IEEE Transactions on Instrumentation and Measurement·2025· 2 citedOpen Access
List of contributors
Elsevier eBooks·2025Open Access
Challenges as a framework for trustworthy AI
Elsevier eBooks·2025
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.
PubMed·2024· 4 citedOpen Access
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Brain MR Image Synthesis for Tumor Segmentation (BraSyn)</i>.
PubMed·2024· 9 citedOpen Access
AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons
Scientific Data·2024· 4 citedOpen Access
End-to-end reproducible AI pipelines in radiology using the cloud
Nature Communications·2024· 12 citedOpen Access
Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification—Part 1: Report of the MIDI Task Group - Best Practices and Recommendations, Tools for Conventional Approaches to De-identification, International Approaches to De-identification, and Industry Panel on Image De-identification
Journal of Imaging Informatics in Medicine·2024· 6 citedOpen Access
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
arXiv (Cornell University)·2024· 4 citedOpen Access
Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification—Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and Pipeline
Journal of Imaging Informatics in Medicine·2024· 8 citedOpen Access
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
arXiv (Cornell University)·2024· 10 citedOpen Access
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Frequent Co-authors

Spyridon Bakas(10), Justin Kirby(9), Bjoern Menze(8), Bram van Ginneken(7), Lena Maier‐Hein(7), Robert B. Lufkin(7), Jayashree Kalpathy–Cramer(6), Michela Antonelli(6), Annette Kopp‐Schneider(6), Bennett A. Landman(6), Geert Litjens(6), Ronald M. Summers(6), Klaus Maier‐Hein(6), M. Jorge Cardoso(6), Keith L. Black(6), Tal Arbel(5), Ben Glocker(5), Annika Reinke(5), Fabian Isensee(5), Tahsin Kurç(5)