ArticleScientific data2024
A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation.
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Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12citing papers in PubMed
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Who cites it
12 citing papers in PubMed.
- Predicting brain tumour enhancement from non-contrast MRI with artificial intelligence: a multicohort, retrospective, diagnostic accuracy study.The Lancet medical imaging & theranostics · 2026Article
- Segmenting with confidence through uncertainty quantification for brain tumor imaging.NPJ digital medicine · 2026Article
- Central Nervous System Involvement in Acute Myeloid Leukemia: From Pathophysiology to Neuroradiologic Features and the Emerging Role of Artificial Intelligence.Journal of clinical medicine · 2026Review
- The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset.Scientific data · 2026Article
- Evaluating the detection of small brain lesions in magnetic resonance using deep learning.Frontiers in neuroscience · 2026Article
- A Structured Review and Quantitative Profiling of Public Brain MRI Datasets for Foundation Model Development.Journal of imaging · 2025Review
- MRI multi-sequence deep learning integration with clinical profiles for pediatric viral encephalitis diagnosis.Scientific reports · 2025Article
- Overview of the Head and Neck Tumor Segmentation for Magnetic Resonance Guided Applications (HNTS-MRG) 2024 Challenge.Head and Neck Tumor Segmentation for MR-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, proceedings · 2025Article
- Article
- A large scale multi institutional study for radiomics driven machine learning for meningioma grading.Scientific reports · 2024Article
- A Practical Guide to Manual and Semi-Automated Neurosurgical Brain Lesion Segmentation.NeuroSci · 2024Article
- A deep learning algorithm for fully automated volumetric measurement of meningioma burden.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
74 authors.
Dominic LaBella *Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Omaditya Khanna *Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA.
Shan McBurney-Lin *Center for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.ORCID 0000-0001-9829-5748
Ryan Mclean *Yale University, New Haven, CT, USA.
Pierre Nedelec *Center for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.
Arif S Rashid *Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Nourel Hoda Tahon *University of Missouri, Columbia, MO, USA.ORCID 0009-0002-5863-0219
Talissa AltesUniversity of Missouri, Columbia, MO, USA.
Ujjwal BaidDivision of Computational Pathology, Department of Pathology and Laboratory Medicine, School of Medicine, Indiana University, Indianapolis, IN, USA.
Radhika BhaleraoCenter for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.
Yaseen DhemeshUniversity of Missouri, Columbia, MO, USA.ORCID 0000-0003-2263-0452
Scott FloydDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Devon GodfreyDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Fathi HilalUniversity of Missouri, Columbia, MO, USA.
Anastasia JanasYale University, New Haven, CT, USA.
Anahita KazerooniCenter for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Collin KentDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
John KirkpatrickDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Florian KoflerHelmholtz AI, Helmholtz Munich, Neuherberg, Germany.ORCID 0000-0003-0642-7884
Kevin LeuCenter for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.
Nazanin MalekiYale University, New Haven, CT, USA.
Bjoern MenzeUniversity of Zurich, Zurich, Switzerland.
Maxence PajotCenter for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.
Zachary J ReitmanDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Jeffrey D RudieDepartment of Radiology, University of California San Diego, San Diego, CA, USA.
Rachit SalujaDepartment of Radiology, Cornell University, Ithaca, NY, USA.
Yury VelichkoDepartment of Radiology, Northwestern University, Evanston, IL, USA.
Chunhao WangDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Pranav I WarmanDuke University Medical Center, School of Medicine, Durham, NC, USA.
Nico SollmannDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0002-8120-2223
David Diffley, Fort Worth, TX, USA.
Khanak K NandoliaDepartment of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences, Rishikesh, India.
Daniel I WarrenDepartment of Neuroradiology, Washington University, St. Louis, MO, USA.
Ali HussainUniversity of Rochester Medical Center, Rochester, NY, USA.
John Pascal FehringerFaculty of Medicine, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany.ORCID 0009-0001-2184-4013
Yulia BronsteinvRad (Radiology Partners), Minneapolis, MN, USA.
Lisa DeptulaRoss University School of Medicine, Bridgetown, Barbados.
Evan G SteinDepartment of Radiology, New York University Grossman School of Medicine, New York, NY, USA.
Mahsa TaherzadehDepartment of Radiology, Arad Hospital, Tehran, Iran.
Eduardo Portela de OliveiraDepartment of Radiology, Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Aoife HaugheyDepartment of Neuroradiology, JDMI, University of Toronto, Toronto, TO, Canada.
Marinos KontzialisDepartment of Radiology, Cornell University, Ithaca, NY, USA.
Luca SabaDepartment of Radiology, Azienda Ospedaliero Universitaria of Cagliari-Polo di Monserrato, Cagliari, Italy.
Benjamin TurnerDepartment of Radiology, Leeds General Infirmary, Leeds, UK.
Melanie M T BrüßelerLudwig Maximilians University, Munich, Bavaria, Germany.
Shehbaz AnsariRush University Medical Center, Chicago, IL, USA.
Athanasios GkampenisDepartment of Neurosurgery, University Hospital of Ioannina, Ioannina, Greece.ORCID 0009-0005-0668-425X
David Maximilian WeissDepartment of Neuroradiology, University Hospital Essen, Essen, North Rhine-Westphalia, Germany.
Aya MansourEgyptian Ministry of Health, Cairo, Egypt.
Islam H ShawaliDepartment of Radiology, Kasr Alainy, Cairo University, Cairo, Egypt.
Nikolay YordanovFaculty of Medicine, Medical University of Sofia, Sofia, Bulgaria.
Joel M SteinDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Roula HouraniDepartment of Radiology, American University of Beirut Medical center, Beirut, Lebanon.
Mohammed Yahya MoshebahRadiology Department, King Faisal Medical City, Abha, Saudi Arabia.
Ahmed Magdy AbouelattaDepartment of Diagnostic and Interventional Radiology, Cairo University, Cairo, Egypt.
Tanvir RizviDepartment of Radiology and Medical Imaging, University of Virginia Health, Charlottesville, VA, USA.
Klara WillmsYale University, New Haven, CT, USA.
Dann C MartinDepartment of Radiology and Radiologic Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Abdullah OkarFaculty of Medicine, Hamburg University, Hamburg, Germany.
Gennaro D'AnnaNeuroimaging Unit, ASST Ovest Milanese, Legnano, Milan, Italy.
Ahmed TahaUniversity of Manitoba, Winnipeg, Manitoba, Canada.
Yasaman SharifiDepartment of Radiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-5563-6311
Shahriar FaghaniRadiology Informatics Lab, Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Dominic KiteDepartment of Radiology, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, United Kingdom.ORCID 0000-0001-8627-1036
Marco PinhoDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Muhammad Ammar HaiderCMH Lahore Medical College, Lahore, Pakistan.ORCID 0000-0002-8006-6426
Michelle Alonso-BasantaDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Javier Villanueva-MeyerCenter for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.
Andreas M RauscheckerCenter for Intelligent Imaging (ci2), Department of Radiology & Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.
Ayman NadaUniversity of Missouri, Columbia, MO, USA.
Mariam AboianDepartment of Radiology, Children's Hospital of Philadelphia (CHOP), Philadelphia, PA, USA.
Adam FlandersDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Spyridon BakasDivision of Computational Pathology, Department of Pathology and Laboratory Medicine, School of Medicine, Indiana University, Indianapolis, IN, USA.ORCID 0000-0001-8734-6482
Evan CalabreseDepartment of Radiology, Duke University Medical Center, Durham, NC, USA. evan.calabrese@duke.edu.
Funding
Privacy-Aware Federated Learning for Breast Cancer Risk AssessmentU24CA279629 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI Spyridon Bakas · 2023 to 2026
$2.9MThe Federated Tumor Segmentation (FeTS) platform: An intuitive tool facilitating secure multi-institutional collaborationU01CA242871 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BAKAS, SPYRIDON · 2019 to 2021
$1.1MEnhancing the efficacy of Radiation Therapy for brainstem glioma by targeting ATMK08CA256045 · NCI · DUKE UNIVERSITY · PI Zachary Reitman · 2022 to 2026
$1.1MFoundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) NCI/ITCR U01CA242871Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) NCI K08CA256045Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) U01CA242871Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) U24CA279629NCI NIH HHS K08 CA256045NCI NIH HHS U01 CA242871NCI NIH HHS U24 CA279629
Abstract
Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on brain MRI for diagnosis, treatment planning, and longitudinal treatment monitoring. However, automated, objective, and quantitative tools for non-invasive assessment of meningiomas on multi-sequence MR images are not available. Here we present the BraTS Pre-operative Meningioma Dataset, as the largest multi-institutional expert annotated multilabel meningioma multi-sequence MR image dataset to date. This dataset includes 1,141 multi-sequence MR images from six sites, each with four structural MRI sequences (T2-, T2/FLAIR-, pre-contrast T1-, and post-contrast T1-weighted) accompanied by expert manually refined segmentations of three distinct meningioma sub-compartments: enhancing tumor, non-enhancing tumor, and surrounding non-enhancing T2/FLAIR hyperintensity. Basic demographic data are provided including age at time of initial imaging, sex, and CNS WHO grade. The goal of releasing this dataset is to facilitate the development of automated computational methods for meningioma segmentation and expedite their incorporation into clinical practice, ultimately targeting improvement in the care of meningioma patients.
Indexed as
Magnetic Resonance ImagingMeningeal NeoplasmsMeningiomaAgedFemaleHumansImage Processing, Computer-AssistedMaleMiddle Aged
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