The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
2014 · IEEE Transactions on Medical Imaging · 6,268 citations
https://doi.org/10.1109/tmi.2014.2377694
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Keyvan Farahani
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Keyvan Farahani is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Advanced MRI Techniques and Applications & AI in cancer detection. The author has an h-index of 45, co-authored 176 publications.
ORCID: 0000-0003-2111-1896Papers by this author
worksAdvancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
2017 · Scientific Data · 2,817 citations
https://doi.org/10.1038/sdata.2017.117
The Medical Segmentation Decathlon
2022 · Nature Communications · 1,123 citations
https://doi.org/10.1038/s41467-022-30695-9
Metrics reloaded: recommendations for image analysis validation
2024 · Nature Methods · 351 citations
https://doi.org/10.1038/s41592-023-02151-z
Understanding metric-related pitfalls in image analysis validation
2024 · Nature Methods · 156 citations
https://doi.org/10.1038/s41592-023-02150-0
Radiomic biomarkers of tumor immune biology and immunotherapy response
2021 · Clinical and Translational Radiation Oncology · 54 citations
https://doi.org/10.1016/j.ctro.2021.03.006
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