KF
Keyvan Farahani
cs.CVeess.IVMagnetic Resonance ImagingArtificial Intelligencecs.LGNeoplasmsImage Processing, Computer-AssistedsegmentationBraTSchallenge
On Valency
published · living versionsW_z8wecm87·v1 · currentpublished
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
with Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello +19
1 version
Preprints & journals
110 papers in the corpus · 1990–2025Digital pathology imaging artificial intelligence in cancer research and clinical trials: An NCI workshop report.41476571 · Makhlouf, Hala R, Ossandon, Miguel R, Farahani, Keyvan et al.2026 · 9 citationsJournal of pathology informatics. 2026;20:100531
Medical Image De-Identification Resources: Synthetic DICOM Data and Tools for Validation2508.01889v1 · Michael W. Rutherford, Tracy Nolan, Linmin Pei et al.2025 · 0 citationsarXiv
Medical Image De-Identification Benchmark Challenge2507.23608v1 · Linmin Pei, Granger Sutton, Michael Rutherford et al.2025 · 1 citationarXiv
Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI2504.12527v3 · Nazanin Maleki, Raisa Amiruddin, Ahmed W. Moawad et al.2025 · 1 citationarXiv
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations.37033463 · Clunie, David A, Flanders, Adam, Taylor, Adam et al.2025 · 16 citationsArXiv. 2025
Measuring Subtle HD Data Representation and Multimodal Imaging Phenotype Embedding for Precision Medicine.40893995 · Yousefi, Bardia, Khansari, Mélina, Trask, Ryan et al.2026 · 2 citationsIEEE transactions on instrumentation and measurement. 2025;74
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.37396600 · Moawad, Ahmed W, Janas, Anastasia, Baid, Ujjwal et al.2025 · 4 citationsArXiv. 2024
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).37608932 · Li, Hongwei Bran, Conte, Gian Marco, Hu, Qingqiao et al.2026 · 21 citationsArXiv. 2024
AI-Generated Annotations Dataset for Diverse Cancer Radiology Collections in NCI Image Data Commons.39443503 · Murugesan, Gowtham Krishnan, McCrumb, Diana, Aboian, Mariam et al.2024 · 9 citationsScientific data. 2024;11(1):1165
End-to-end reproducible AI pipelines in radiology using the cloud.39138215 · Bontempi, Dennis, Nuernberg, Leonard, Pai, Suraj et al.2024 · 20 citationsNature communications. 2024;15(1):6931
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.38997571 · Clunie, David, Prior, Fred, Rutherford, Michael et al.2025 · 6 citationsJournal of imaging informatics in medicine. 2025;38(1):1-15
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 20232407.08855v3 · Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu et al.2024 · 20 citationsMachine.Learning.for.Biomedical.Imaging. 3 (2025)
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.38980626 · Clunie, David, Taylor, Adam, Bisson, Tom et al.2025 · 10 citationsJournal of imaging informatics in medicine. 2025;38(1):16-30
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI2405.18368v1 · Maria Correia de Verdier, Rachit Saluja, Louis Gagnon et al.2024 · 18 citationsarXiv
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).37292481 · Kazerooni, Anahita Fathi, Khalili, Nastaran, Liu, Xinyang et al.2026 · 61 citationsArXiv. 2024
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge2405.09787v2 · Dominic LaBella, Ujjwal Baid, Omaditya Khanna et al.2024 · 11 citationsMachine.Learning.for.Biomedical.Imaging. 3 (2025)
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge.38776844 · Schmidt, Kendall, Bearce, Benjamin, Chang, Ken et al.2024 · 9 citationsMedical image analysis. 2024;95:103206
NCI Cancer Research Data Commons: Resources to Share Key Cancer Data.38488507 · Wang, Zhining, Davidsen, Tanja M, Kuffel, Gina R et al.2024 · 21 citationsCancer research. 2024;84(9):1388-1395
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)2404.15009v4 · Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu et al.2024 · 11 citationsarXiv
A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.38558368 · Vahdati, Sanaz, Khosravi, Bardia, Mahmoudi, Elham et al.2024 · 12 citationsJournal of imaging informatics in medicine. 2024;37(5):2015-2024
Density-based Isometric Mapping2403.02531v1 · Bardia Yousefi, M'elina Khansari, Ryan Trask et al.2024 · 1 citationarXiv
Understanding metric-related pitfalls in image analysis validation.36945687 · Reinke, Annika, Tizabi, Minu D, Baumgartner, Michael et al.2025 · 233 citationsArXiv. 2024
Metrics reloaded: recommendations for image analysis validation.38347141 · Maier-Hein, Lena, Reinke, Annika, Godau, Patrick et al.2024 · 539 citationsNature methods. 2024;21(2):195-212
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence.37999984 · Fedorov, Andrey, Longabaugh, William J R, Pot, David et al.2023 · 35 citationsRadiographics : a review publication of the Radiological Society of North America, Inc. 2023;43(12):e230180
A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network.38106459 · Familiar, Ariana M, Kazerooni, Anahita Fathi, Anderson, Hannah et al.2023 · 6 citationsArXiv. 2023
Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.37407841 · Moassefi, Mana, Rouzrokh, Pouria, Conte, Gian Marco et al.2023 · 31 citationsJournal of digital imaging. 2023;36(5):2306-2312
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI2306.00838v3 · Ahmed W. Moawad, Anastasia Janas, Ujjwal Baid et al.2023 · 40 citationsarXiv
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)2305.19369v1 · Maruf Adewole, Jeffrey D. Rudie, Anu Gbadamosi et al.2023 · 41 citationsarXiv
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).37396608 · Adewole, Maruf, Rudie, Jeffrey D, Gbdamosi, Anu et al.2026 · 3 citationsArXiv. 2023
Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer.37244628 · Mayo, Charles S, Feng, Mary U, Brock, Kristy K et al.2023 · 43 citationsInternational journal of radiation oncology, biology, physics. 2023;117(3):533-550
The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting2305.08992v3 · Florian Kofler, Felix Meissen, Felix Steinbauer et al.2023 · 5 citationsarXiv
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)2305.09011v6 · Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu et al.2023 · 21 citationsarXiv
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.37608937 · LaBella, Dominic, Adewole, Maruf, Alonso-Basanta, Michelle et al.2023 · 27 citationsArXiv. 2023
AAPM Task Group Report 238: 3D C-arms with volumetric imaging capability.36710257 · Supanich, Mark, Siewerdsen, Jeff, Fahrig, Rebecca et al.2023 · 14 citationsMedical physics. 2023;50(8):e904-e945
A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis.36821110 · Konz, Nicholas, Buda, Mateusz, Gu, Hanxue et al.2023 · 33 citationsJAMA network open. 2023;6(2):e230524
MONAI: An open-source framework for deep learning in healthcare2211.02701v1 · M. Jorge Cardoso, Wenqi Li, Richard Brown et al.2022 · 484 citationsarXiv
Diversity and Professional Advancement in Medical Physics.36213550 · Rankin, Jillian, Whelan, Brendan, Pollard-Larkin, Julianne et al.2022 · 9 citationsAdvances in radiation oncology. 2023;8(1):101057
The Medical Segmentation Decathlon.35840566 · Antonelli, Michela, Reinke, Annika, Bakas, Spyridon et al.2022 · 1,372 citationsNature communications. 2022;13(1):4128
Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network.35318368 · Afshar, Parnian, Rafiee, Moezedin Javad, Naderkhani, Farnoosh et al.2022 · 26 citationsScientific reports. 2022;12(1):4827
Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark2201.00458v1 · Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis et al.2022 · 4 citationsarXiv
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.34264825 · Balagurunathan, Yoganand, Beers, Andrew, Mcnitt-Gray, Michael et al.2021 · 39 citationsIEEE transactions on medical imaging. 2021;40(12):3748-3761
Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists.34870218 · Jacobs, Colin, Setio, Arnaud A A, Scholten, Ernst T et al.2022 · 54 citationsRadiology. Artificial intelligence. 2021;3(6):e210027
AAPM Task Group 241: A medical physicist's guide to MRI-guided focused ultrasound body systems.34224149 · Payne, Allison, Chopra, Rajiv, Ellens, Nicholas et al.2021 · 23 citationsMedical physics. 2021;48(9):e772-e806
A DICOM dataset for evaluation of medical image de-identification.34272388 · Rutherford, Michael, Mun, Seong K, Levine, Betty et al.2021 · 33 citationsScientific data. 2021;8(1):183
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification2107.02314v2 · Ujjwal Baid, Satyam Ghodasara, Suyash Mohan et al.2021 · 89 citationsarXiv
NCI Imaging Data Commons.34185678 · Fedorov, Andrey, Longabaugh, William J R, Pot, David et al.2022 · 77 citationsCancer research. 2021;81(16):4188-4193
Common Limitations of Image Processing Metrics: A Picture Story2104.05642v8 · Annika Reinke, Minu D. Tizabi, Carole H. Sudre et al.2021 · 126 citationsarXiv
Radiomic biomarkers of tumor immune biology and immunotherapy response.33937530 · Wang, Jarey H, Wahid, Kareem A, van Dijk, Lisanne V et al.2023 · 61 citationsClinical and translational radiation oncology. 2021;28:97-115
Domain classification and analysis of national institutes of health-funded medical physics research.32970862 · Scarpelli, Matthew, Whelan, Brendan, Farahani, Keyvan2021 · 4 citationsMedical physics. 2021;48(2):605-614
Introduction to special issue on datasets hosted in The Cancer Imaging Archive (TCIA).33202038 · Kirby, Justin, Prior, Fred, Petrick, Nicholas et al.2021 · 17 citationsMedical physics. 2020;47(12):6026-6028
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