ArticlePhysics in medicine and biology2022
The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research.
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Article in Physics in medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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28citing papers in PubMed
–field-weighted citation impact
What it found
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Who cites it
28 citing papers in PubMed.
- Integration of Federated Learning and Blockchain in Health Care: Tutorial on Medical Data, Architectures, Privacy, Security, and Regulatory Compliance.Journal of medical Internet research · 2026Article
- MRI Deep Learning for Differentiating Glioblastoma, IDH Wild-type from Central Nervous System Diffuse Large B-cell Lymphoma.Cancer research communications · 2026Article
- The University of Texas Southwestern Glioma Dataset - MRI, Molecular Markers and Segmentations.Scientific data · 2026Article
- MU-Glioma Post: A comprehensive dataset of automated MR multi-sequence segmentation and clinical features.Scientific data · 2025Article
- Categorical and phenotypic image synthetic learning as an alternative to federated learning.Nature communications · 2025Article
- Optimization of deep learning models for inference in low resource environments.Computers in biology and medicine · 2025Article
- Informatics at the Frontier of Cancer Research.Cancer research · 2025Review
- Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.Nature communications · 2025Article
- Deep Learning MRI Models for the Differential Diagnosis of Tumefactive Demyelination versusAJNR. American journal of neuroradiology · 2025Article
- Deep learning-driven modality imputation and subregion segmentation to enhance high-grade glioma grading.BMC medical informatics and decision making · 2025Article
- Development and Evaluation of Automated Artificial Intelligence-Based Brain Tumor Response Assessment in Patients with Glioblastoma.AJNR. American journal of neuroradiology · 2025Article
- Advancing Precision: A Comprehensive Review of MRI Segmentation Datasets from BraTS Challenges (2012-2025).Sensors (Basel, Switzerland) · 2025Review
- Mitigating Data Scarcity in the Classification of Glioma Molecular Subtypes: The Power of Generative Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Review
- Article
- Article
- Accelerating Parkinson's Disease drug development with federated learning approaches.NPJ Parkinson's disease · 2024Review
- Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice.The Lancet. Oncology · 2024Review
- Two-Stage Training Framework Using Multicontrast MRI Radiomics forRadiology. Artificial intelligence · 2024Article
- A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation.Scientific data · 2024Article
Corrections and comments
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Authors and funding
14 authors.
Sarthak PatiCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0003-2243-8487
Ujjwal BaidCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0001-5246-2088
Brandon EdwardsIntel Corporation, Santa Clara, CA, United States of America.ORCID 0000-0002-0957-9149
Micah J ShellerIntel Corporation, Santa Clara, CA, United States of America.ORCID 0000-0002-6571-0850
Patrick FoleyIntel Corporation, Santa Clara, CA, United States of America.ORCID 0000-0001-9401-3088
G Anthony ReinaIntel Corporation, Santa Clara, CA, United States of America.ORCID 0000-0001-9623-9259
Siddhesh ThakurCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0003-4807-2495
Chiharu SakoCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0003-3243-3954
Michel BilelloDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0001-6313-5437
Christos DavatzikosCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0002-1025-8561
Jason MartinIntel Corporation, Santa Clara, CA, United States of America.
Prashant ShahIntel Corporation, Santa Clara, CA, United States of America.ORCID 0000-0003-1055-574X
Bjoern MenzeDepartment of Informatics, Technical University of Munich, Munich, Germany.ORCID 0000-0003-4136-5690
Spyridon BakasCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0001-8734-6482
Funding
Generalizable quantitative imaging and machine learning signatures in glioblastoma, for precision diagnostics and personalized treatment: the ReSPOND consortiumR01CA269948 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Christos Davatzikos · 2022 to 2026
$3.2MBiomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9MThe Federated Tumor Segmentation (FeTS) platform: An intuitive tool facilitating secure multi-institutional collaborationU01CA242871 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BAKAS, SPYRIDON · 2019 to 2021
$1.1MNCI NIH HHS R01 CA269948NCI NIH HHS U01 CA242871NIH HHS S10 OD023495
Abstract
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Indexed as
NeoplasmsSoftwareBrainHumansMagnetic Resonance Imagingbrain tumorfederated learningFLmachine learningopen sourcesegmentation
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.