Yale-Brain-Mets-Longitudinal
MRI data on brain metastasis for Progression analysis (cohort: 11,892 studies, 1430 patients).
- Tumour types
- brain metastasis
- Cohort
- 11,892 studies, 1430 patients
- Modality
- MRI
- Access
- Public
- Source
- TCIA
Search brain-tumour datasets by tumour type, modality, cohort or provenance — results are shareable via the URL.
70 datasets
MRI data on brain metastasis for Progression analysis (cohort: 11,892 studies, 1430 patients).
MRI data for Self-supervised analysis (cohort: 11,187 subjects, 13,900 sessions, 60,529 scans).
MRI data for Self-supervised pretraining and downstream fine-tuning benchmark analysis (cohort: 59,969 subjects, 82,678 sessions, 318,877 scans).
MRI data for Self-supervised pretraining corpus analysis (cohort: ~114k MRI images (dataset card); 113,921 metadata rows in local openneuro_metadata.csv).
MRI + Pathology data on brain metastasis for Segmentation analysis (cohort: 111 cases, 103 patients).
MRI data on brain metastasis for Segmentation analysis (cohort: 560 MRI examinations, 412 patients, 5,136 segmented metastases).
MRI data on brain metastasis for Detection + Segmentation analysis (cohort: 156 patients).
MRI data on brain metastasis for Segmentation + Classification analysis (cohort: 268 studies, 165 patients).
MRI data on brain metastasis for Segmentation analysis (cohort: 200 patients).
MRI data on brain metastasis for Segmentation analysis (cohort: 637 imaging studies, 75 patients, 260 lesions (593 segmented studies)).
MRI + CT + RT data on brain metastasis for Segmentation + Progression analysis (cohort: 40 patients, 65 lesions, 744 MRI scans, 45 RTP, 45 CT).
MRI data on brain metastasis for Progression, Classification + Segmentation analysis (cohort: 47 patients).
MRI data on glioma for Segmentation analysis (cohort: 146 subjects (95 glioma + 51 other CNS neoplasms in TCIA release metadata tables)).
Advanced MRI data on glioma for Segmentation + Radiogenomics analysis (cohort: 495 subjects (501 exams)).
MRI data on glioma for Segmentation + Radiogenomics analysis (cohort: 630 imaging subjects (with separate clinical table coverage up to 671 rows)).
MRI data on glioma for Segmentation + Radiogenomics analysis (cohort: 262 patients).
MRI data on glioma for Segmentation + Radiogenomics analysis (cohort: 199 patients).
MRI data on glioma for Segmentation + Classification analysis (cohort: 91 patients, 638 study dates, 2487 MRI images).
MRI + Pathology + Transcriptomics data on glioma for Atlas resource + clinical/genomic linkage + multimodal reference analysis (cohort: 41 patients, 42 tumors (atlas cohort)).
MRI data on glioma for Segmentation reproducibility + radiomics feature extraction analysis (cohort: 31 paired segmentation subjects (UPenn/CWRU) with radiomics reproducibility analysis on 28 subjects after exclusions; derived from Ivy GAP cohort.).
MRI data on glioblastoma for Segmentation + Progression analysis (cohort: 20 patients).
MRI data on pediatric high-grade glioma for Segmentation analysis (cohort: 457 subjects (TCIA release); challenge paper reports 464 patients).
MRI + CT data on medulloblastoma (cohort: 85 subjects).
MRI + CT data for Progression assessment + Survival modeling analysis (cohort: 123 subjects).
MRI + PET + CT data for Hypoxia/perfusion prognostic modeling analysis (cohort: 45 subjects).
MRI + CT + RT data on glioma for Segmentation + Progression analysis (cohort: 180 subjects).
MRI + CT + RT data on glioma (cohort: 264 subjects).
MRI + CT + Pathology data on glioma for Proteogenomic characterization analysis (cohort: 200 subjects (radiology subset: 70)).
MRI data for Segmentation analysis (cohort: 61 subjects).
MRI + CT + RTSTRUCT data on glioma for Segmentation analysis (cohort: 230 subjects).
MRI + SEG data for Segmentation + Radiogenomics analysis (cohort: 159 subjects).
MRI + RTSTRUCT data on meningioma for Segmentation + Classification analysis (cohort: 96 subjects).
MRI data on glioma for Segmentation analysis.
Used in a community challenge (2025)
View datasetMRI data on glioma for Segmentation + Progression analysis (cohort: 203 subjects (596 post-treatment timepoints)).
MRI (DSC) data for Perfusion analysis + ROI benchmarking analysis (cohort: 49 subjects).
MRI data for Perfusion repeatability + Treatment-response biomarker evaluation analysis (cohort: 54 subjects).
MRI data on glioma (cohort: 130 subjects).
MRI + Ultrasound data on glioma for Segmentation + Multimodal registration analysis (cohort: 114 subjects).
MRI data on glioma for Segmentation + Progression analysis (cohort: 40 subjects).
MRI data (cohort: 19 subjects).
Advanced MRI data on glioma for Segmentation + Classification analysis (cohort: 178 subjects (243 timepoints)).
MRI (BraTS-derived FLAIR/T1/T1ce/T2) data on glioma for Segmentation + synthetic data augmentation analysis (cohort: 23,049 generated sample folders (derived from 438 source BraTS training cases)).
MRI data on glioma for Segmentation + Classification analysis (cohort: 2,040 patients (BraTS 2021 challenge cohort); 1,480 subjects in TCIA analysis-result release).
MRI data on brain metastasis for Segmentation analysis (cohort: 492 official cases (402 train, 31 val, 59 test); +474 optional training cases).
Used in a community challenge (2023)
View datasetMRI data on meningioma for Segmentation analysis (cohort: BraTS-MEN preoperative multi-institutional cohort (largest expert-annotated multi-label preoperative meningioma mpMRI dataset; site-wise table shown in challenge manuscript).).
Used in a community challenge (2025)
View datasetMRI data on meningioma for Segmentation analysis (cohort: 750 radiotherapy-planning T1c exams (500 train / 70 val / 180 test) from 747 patients.).
Used in a community challenge (2025)
View datasetMRI data on brain metastasis for Segmentation analysis (cohort: BraTS-METS 2025 release context: 1,296 training + 179 validation + 303 testing cases (total 1,778 pre/post-treatment), including 75 multi-annotated test cases.).
Used in a community challenge (2025)
View datasetMRI data on glioma for Segmentation analysis (cohort: Adult Sub-Saharan Africa glioma cohort; challenge split policy stated as 70% train / 10% validation / 20% test.).
Used in a community challenge (2025)
View datasetMRI data for Segmentation analysis (cohort: 464 pediatric high-grade glioma patients (multi-consortium retrospective cohort).).
Used in a community challenge (2025)
View datasetMRI data for Segmentation + Generalizability analysis (cohort: Composite benchmark built from subsets of other LH25 challenge datasets; no single standalone cohort count provided on mapped page.).
Used in a community challenge (2025)
View datasetMRI data for Synthesis analysis (cohort: Training: 1251 (Glioma 1223 + Meningioma 28); Validation: 280 (Metastases 280); Test: 279 (Meningioma 259 + Metastases 20) as shown on LH25 synthesis page.).
Used in a community challenge (2025)
View datasetMRI data for Inpainting analysis (cohort: Challenge uses curated training/validation/testing sets built from BraTS lesion-segmentation data with inpainting-mask protocol; 2024+ context adds meningioma test cohort for cross-dataset evaluation.).
Used in a community challenge (2025)
View datasetMRI + Pathology data for Pathology + Segmentation analysis (cohort: Multi-institutional FFPE WSI pathology cohort from reclassified TCGA-GBM/TCGA-LGG (paper emphasizes largest expert-annotated multilabel GBM histopathology dataset; exact single case-count row not fixed in mapped lines).).
Used in a community challenge (2025)
View datasetMRI data on glioma for Progression analysis (cohort: Challenge-specific progression endpoint task in LH25-T11; mapped page does not provide a single finalized standalone cohort count in visible section.).
Used in a community challenge (2025)
View datasetMRI data on glioma for Segmentation analysis (cohort: 2,200 post-treatment diffuse-glioma cases (retrospective, multi-institutional; challenge split policy reported as 70/10/20 train/val/test).).
Used in a community challenge (2024)
View datasetMRI data on glioma for Segmentation analysis (cohort: Adult Sub-Saharan Africa glioma cohort; challenge split policy explicitly states 70% train / 10% validation / 20% test.).
Used in a community challenge (2024)
View datasetMRI data on glioma for Segmentation analysis.
Used in a community challenge (2023)
View datasetMRI data on meningioma for Segmentation analysis (cohort: 750 radiotherapy-planning T1c MRI exams from 747 patients (multi-institutional).).
Used in a community challenge (2024)
View datasetMRI data on brain metastasis for Segmentation analysis (cohort: BraTS-METS challenge lineage reports released training/validation set of 1,475 cases (1,296 train; 179 validation) with broader longitudinal expansion discussed in later lighthouse context.).
Used in a community challenge (2024)
View datasetMRI data for Segmentation analysis (cohort: 464 pediatric high-grade glioma patients (retrospective multi-consortium cohort).).
Used in a community challenge (2024)
View datasetMRI data for Segmentation + Generalizability analysis.
Used in a community challenge (2024)
View datasetMRI data on meningioma for Segmentation analysis (cohort: 1650 meningioma cases (Table 1: total meningioma case contributions across participating sites)).
Used in a community challenge (2023)
View datasetMRI data on glioma for Synthesis analysis (cohort: Training: 1251 cases; Validation: 219 cases; Test: 570 + 59 cases (Synapse wiki split table)).
Used in a community challenge (2024)
View datasetMRI data for Inpainting analysis.
Used in a community challenge (2024)
View datasetMRI data for Augmentation evaluation analysis.
Used in a community challenge (2024)
View datasetMRI data for Pathology + Segmentation analysis (cohort: Multi-institutional GBM whole-slide pathology cohort (paper reports largest expert-annotated multilabel GBM histopathology set; exact case count not explicitly stated in mapped lines).).
Used in a community challenge (2024)
View datasetMRI data on glioma for Segmentation analysis (cohort: 243 pre-operative baseline mMRI scans (135 TCIA-GBM pre-operative + 108 TCIA-LGG pre-operative)).
Used in a community challenge (2023)
View datasetMRI data on glioma for Segmentation analysis (cohort: 228 pediatric high-grade glioma subjects).
Used in a community challenge (2023)
View datasetMRI data for Synthesis analysis.
Used in a community challenge (2023)
View datasetMRI data for Inpainting analysis.
Used in a community challenge (2023)
View dataset