ReMIND - Brain tumor multi-modal MR (raw, with iUS)
114 brain tumor patients with pre/post-op multi-modal MR + intra-operative ultrasound. NOT skull-stripped.
The sample cases below open read-only in the MedSeg editor - no account needed. Open the full dataset to copy all 990 cases into your workspace, run AI models, and segment.
About this dataset
ReMIND (Brigham and Women's) is a brain neuronavigation registration dataset: 114 patients with brain tumors (gliomas, meningiomas, metastases), each with pre-operative and post-operative multi-modal MR (T1, T1-post-contrast, T2, FLAIR) plus intra-operative ultrasound acquired during surgery for navigation. Unlike BraTS / UPENN-GBM, ReMIND is raw clinical MR - not skull-stripped, not pre-processed - so it shows what real-world scans look like.
MedSeg includes the official NRRD-derived reference segmentations where they could be paired to the public MR series with clean study metadata and geometry. Some released segmentations are intentionally omitted because duplicated series descriptions and geometry mismatches made a reliable image-to-mask pairing unsafe.
| Fact | Value |
|---|---|
| Cases | 990 |
| Series | 990 |
| Size | 13.2 GB |
| Modality | MR, US |
| Reference masks | Yes |
| License | CC-BY-4.0 |
| Publisher | Brigham and Women's Hospital |
| Version | 2023 |
| DOI | 10.7937/3RAG-D070 |
What you can do with it in MedSeg
Copied cases behave like normal project series - the public image bytes are linked, not duplicated, so copies are instant and take no extra storage.
- Copy cases into a project.
Filter, multi-select, copy - reference masks come along if you want them. - Run AI segmentation.
TotalSegmentator, MRSegmentator, nnInteractive 3D clicks/scribbles, or text-prompted VoxTell. - Edit and measure.
Brush, lasso, fill, oblique planes, volumes in ml - in the browser. - Train your own nnU-Net.
Correct masks on a handful of cases and train a custom model on hosted GPUs.
Citation
If you use this dataset in your research, cite the source per its license terms.
Juvekar, P., Dorent, R., Kögl, F., Torio, E., Barr, C., Rigolo, L., et al. (2024). The Brain Resection Multimodal Imaging Database (ReMIND). Scientific Data, 11, 494.
License: CC-BY-4.0
Open data still carries obligations - attribution at minimum. Check the license terms and the source publication before publishing work built on this dataset. MedSeg is a research tool, not a medical device.
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