ArticleRadiology. Artificial intelligence2022
The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset.
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Article in Radiology. Artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.
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118citing papers in PubMed
–field-weighted citation impact
What it found
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Who cites it
118 citing papers in PubMed.
- Impact of MRI modality selection on glioma sub-region segmentation using 3D U-Net and Attention U-Net: A comparative evaluation across ten MRI sequences.European journal of radiology open · 2026Article
- SynPAR for Empirical Membership Inference Auditing of Synthetic Radiomic and Embedding Data.Journal of imaging informatics in medicine · 2026Article
- CSFINet-Based Multimodal MRI Image Segmentation and Survival Prediction.Diagnostics (Basel, Switzerland) · 2026Article
- Robust deep learning for incomplete MRI sequences in glioma grading and IDH mutation status prediction: a large-scale multicenter study.European radiology · 2026Article
- Validating Radiomic Feature Comparisons with Patient-Specific Image Surrogates.Journal of imaging informatics in medicine · 2026Article
- Recent advances in MR neuroimaging: toward quantitative and AI-driven brain and spinal cord imaging.Japanese journal of radiology · 2026Review
- Optimizing MRI sequence selection for glioma classification: a radiomics-based analysis of WHO CNS grade, final pathological diagnosis, and IDH status.La Radiologia medica · 2026Article
- Spatial organization of AQP4 water channel expression in the human brain.Science advances · 2026Article
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- An Automated, Contamination-Controlled VQA Benchmark for Evaluating Vision-Language Models on 3D Oncology Imaging.Research square · 2026Article
- Comparative Study of Anatomical and Learned Features in AI Models for Structural Brain MRI.Research square · 2026Article
- NeuroRAD-FM: A Distributionally Robust Foundation Model for Precision Neuro-Oncology.Research square · 2026Article
- Predicting brain tumour enhancement from non-contrast MRI with artificial intelligence: a multicohort, retrospective, diagnostic accuracy study.The Lancet medical imaging & theranostics · 2026Article
- Article
- Preoperative tumor cerebral blood flow measured by arterial spin labeling predicts enhancing tumor volume progression in gliomas: a single-center retrospective study.BMC medical imaging · 2026Article
- Physics-Informed Multiscale Decoding of Tissue Microstructure: The Gray Level Affinity Metrics (GLAM) Framework.Journal of imaging informatics in medicine · 2026Article
- Validation of automated DTI-ALPS and free water index as potential survival stratification markers in IDH-wildtype glioblastoma.Neuroradiology · 2026Article
- Article
- Radiomics Outperforms Conventional Tumor Volume in Prognostic Stratification Across Independent Glioma Cohorts.Cureus · 2026Article
- Impact of Free Water Correction on the Mean Diffusivity of Glioblastoma is Regional and b-value Dependent: A Retrospective Study on Open-source Datasets.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026Article
58 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Evan CalabreseCenter for Intelligent Imaging (Ci), Department of Radiology & Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA 94143 (E.C., J.E.V.M., J.D.R., A.M.R., S.C., J.T.M., C.P.H.); and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pa (U.B., S.B.).ORCID 0000-0002-1464-0354
Javier E Villanueva-MeyerCenter for Intelligent Imaging (Ci), Department of Radiology & Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA 94143 (E.C., J.E.V.M., J.D.R., A.M.R., S.C., J.T.M., C.P.H.); and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pa (U.B., S.B.).ORCID 0000-0002-5910-0757
Jeffrey D RudieCenter for Intelligent Imaging (Ci), Department of Radiology & Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA 94143 (E.C., J.E.V.M., J.D.R., A.M.R., S.C., J.T.M., C.P.H.); and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pa (U.B., S.B.).ORCID https://orcid.org/0000-0001-8609-8421
Andreas M RauscheckerCenter for Intelligent Imaging (Ci), Department of Radiology & Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA 94143 (E.C., J.E.V.M., J.D.R., A.M.R., S.C., J.T.M., C.P.H.); and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pa (U.B., S.B.).ORCID 0000-0003-0633-9876
Ujjwal BaidCenter for Intelligent Imaging (Ci), Department of Radiology & Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA 94143 (E.C., J.E.V.M., J.D.R., A.M.R., S.C., J.T.M., C.P.H.); and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pa (U.B., S.B.).
Spyridon BakasCenter for Intelligent Imaging (Ci), Department of Radiology & Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA 94143 (E.C., J.E.V.M., J.D.R., A.M.R., S.C., J.T.M., C.P.H.); and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pa (U.B., S.B.).ORCID 0000-0001-8734-6482
Soonmee ChaCenter for Intelligent Imaging (Ci), Department of Radiology & Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA 94143 (E.C., J.E.V.M., J.D.R., A.M.R., S.C., J.T.M., C.P.H.); and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pa (U.B., S.B.).ORCID 0000-0002-5924-5876
John T MonganCenter for Intelligent Imaging (Ci), Department of Radiology & Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA 94143 (E.C., J.E.V.M., J.D.R., A.M.R., S.C., J.T.M., C.P.H.); and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pa (U.B., S.B.).ORCID 0000-0003-2765-7451
Christopher P HessCenter for Intelligent Imaging (Ci), Department of Radiology & Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA 94143 (E.C., J.E.V.M., J.D.R., A.M.R., S.C., J.T.M., C.P.H.); and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pa (U.B., S.B.).ORCID 0000-0002-5132-5302
Funding
The 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 U01 CA242871
Abstract
PubMed holds no abstract for this paper.
Indexed as
Brain/Brain StemCNSInformaticsMR Diffusion Tensor ImagingMR ImagingMR PerfusionNeuro-OncologyOncologyRadiogenomicsRadiology-Pathology Integration
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Read underepoch 390
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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.