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MRI datasets
archive 2025-07-2839 datasets carry the modality tag "MRI", ordered by the archive's paper count. Page 1 of 1: 39 shown of 39. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 39 modality tags shown of 39, by dataset count; the full filter by modality, task and language is on /datasets
All 12,172
Images 3,239Texts 3,130Videos 1,014Audio 480Medical 3943D 380Time series 294Graphs 282Tabular 267Speech 197RGB-D 190Environment 147Point cloud 134Biomedical 122LiDAR 94RGB Video 87Tracking 77Biology 70Actions 673d meshes 64Tables 50Music 47EEG 44Hyperspectral images 44Stereo 44MRI 39Physics 32Interactive 29Dialog 25Midi 226D 17Replay data 11Financial 10Ranking 10Cad 9fMRI 7Parallel 6Lyrics 2PSG 2
MRI datasets 1–39 of 39
The fastMRI dataset includes two types of MRI scans: knee MRIs and the brain (neuro) MRIs, and containing training, validation, and masked test sets.
332 papers · 5 benchmarks
The PROMISE12 dataset was made available for the MICCAI 2012 prostate segmentation challenge.
84 papers · 2 benchmarks
77 papers · 1 benchmark
The BraTS 2015 dataset is a dataset for brain tumor image segmentation.
69 papers · 1 benchmark
BRATS 2013 is a brain tumor segmentation dataset consists of synthetic and real images, where each of them is further divided into high-grade gliomas (HG) and low-grade gliomas (LG).
36 papers · 2 benchmarks
ADNI (Alzheimer's Disease NeuroImaging Initiative)
Alzheimer's Disease Neuroimaging Initiative (ADNI) is a multisite study that aims to improve clinical trials for the prevention and treatment of Alzheimer’s disease (AD).[1] This cooperative study combines expertise and funding from the…
28 papers · 5 benchmarks
BRATS 2021 (RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2021)
The RSNA-ASNR-MICCAI BraTS 2021 challenge utilizes multi-institutional pre-operative baseline multi-parametric magnetic resonance imaging (mpMRI) scans, and focuses on the evaluation of state-of-the-art methods for (Task 1) the…
19 papers · 0 benchmarks
SKM-TEA (Stanford Knee MRI with Multi-Task Evaluation)
The SKM-TEA dataset pairs raw quantitative knee MRI (qMRI) data, image data, and dense labels of tissues and pathology for end-to-end exploration and evaluation of the MR imaging pipeline.
16 papers · 0 benchmarks
BRATS 2016 is a brain tumor segmentation dataset.
13 papers · 0 benchmarks
M4Raw (A multi-contrast, multi-repetition, multi-channel MRI k-space dataset for low-field MRI research)
Recently, low-field magnetic resonance imaging (MRI) has gained renewed interest to promote MRI accessibility and affordability worldwide.
11 papers · 0 benchmarks
We release expert-made scribble annotations for the medical ACDC dataset [1].
10 papers · 1 benchmark
CHAOS (CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation)
CHAOS challenge aims the segmentation of abdominal organs (liver, kidneys and spleen) from CT and MRI data.
9 papers · 0 benchmarks
OASIS-1 (Open Access Series of Imaging Studies)
The Open Access Series of Imaging Studies (OASIS) is a project aimed at making neuroimaging data sets of the brain freely available to the scientific community.
9 papers · 0 benchmarks
ATLAS v2.0 (Anatomical Tracings of Lesions After Stroke Dataset version 2.0)
Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification of lesion burden and accurate image processing.
8 papers · 1 benchmark
Duke Breast Cancer MRI (Dynamic contrast-enhanced magnetic resonance images of breast cancer patients with tumor locations)
Breast MRI scans of 922 cancer patients from Duke University, with tumor bounding box annotations, clinical, imaging, and many other features, and more.
8 papers · 0 benchmarks
The Sunnybrook Cardiac Data (SCD), also known as the 2009 Cardiac MR Left Ventricle Segmentation Challenge data, consist of 45 cine-MRI images from a mixed of patients and pathologies: healthy, hypertrophy, heart failure with infarction…
7 papers · 0 benchmarks
BRATS 2014 is a brain tumor segmentation dataset.
5 papers · 1 benchmark
HaN-Seg (The Head and Neck Organ-at-Risk CT & MR Segmentation Challenge)
Cancer in the region of the head and neck (HaN) is one of the most prominent cancers, for which radiotherapy represents an important treatment modality that aims to deliver a high radiation dose to the targeted cancerous cells while…
5 papers · 0 benchmarks
IBC (Individual Brain Charting)
The Individual Brain Charting (IBC) project aims at providing a new generation of functional-brain atlases.
3 papers · 0 benchmarks
SMILE-UHURA (Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiogram)
The human brain receives nutrients and oxygen through an intricate network of blood vessels.
3 papers · 0 benchmarks
CEREBRUM-7T (Fast and Fully-volumetric Brain Segmentation of 7 Tesla MR Volumes)
Ultra-high field MRI enables sub-millimetre resolution imaging of human brain, allowing to disentangle complex functional circuits across different cortical depths.
2 papers · 0 benchmarks
EPISURG (EPISURG: a dataset of postoperative MRI for quantitative analysis of resection neurosurgery for refractory epilepsy)
EPISURG is a clinical dataset of T1-weighted magnetic resonance images (MRI) from 430 epileptic patients who underwent resective brain surgery at the National Hospital of Neurology and Neurosurgery (Queen Square, London, United Kingdom)…
2 papers · 0 benchmarks
SR-Reg (SynthRAD Registration)
SR-Reg is a brain MR-CT registration dataset, deriving from SynthRAD 2023 (https://synthrad2023.grand-challenge.org/).
2 papers · 1 benchmark
This collection includes datasets from 20 subjects with primary newly diagnosed glioblastoma who were treated with surgery and standard concomitant chemo-radiation therapy (CRT) followed by adjuvant chemotherapy.
2 papers · 0 benchmarks
Tc1 Mouse cerebellum atlas (Tc1 Mouse cerebellum atlas with Purkinje layer segmentation)
This mouse cerebellar atlas can be used for mouse cerebellar morphometry.
2 papers · 0 benchmarks
UPenn-GBM (The University of Pennsylvania glioblastoma (UPenn-GBM) cohort)
This collection comprises multi-parametric magnetic resonance imaging (mpMRI) scans for de novo Glioblastoma (GBM) patients from the University of Pennsylvania Health System, coupled with patient demographics, clinical outcome (e.g.,…
2 papers · 0 benchmarks
The Algonauts 2023 Challenge focuses on predicting responses in the human brain as participants perceive complex natural visual scenes.
1 paper · 0 benchmarks
BraTS PEDs 2023 (The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs))
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
BraTS-Africa (Brain Tumor Segmentation (BraTS) Challenge: Sub Saharan Africa)
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 1 benchmark
BraTs Peds 2024 (The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs) 2024)
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 1 benchmark
BreastDICOM4 ([MIMBCD-UI] UTA4: Medical Imaging DICOM Files Dataset)
Several datasets are fostering innovation in higher-level functions for everyone, everywhere.
1 paper · 1 benchmark
Cam-CAN (Cambridge Centre for Ageing and Neuroscience dataset)
The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) is a large-scale collaborative research project at the University of Cambridge, launched in October 2010, with substantial initial funding from the Biotechnology and Biological…
1 paper · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
LPBA40 (LONI Probabilistic Brain Atlas)
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
Multi-template MRI mouse brain atlas (Multi-template MRI mouse brain atlas for both in vivo and ex vivo analysis)
Mouse Brain MRI atlas (both in-vivo and ex-vivo) (repository relocated from the original webpage) List of atlases - FVBNCrl: Brain MRI atlas of the wild-type FVBNCrl mouse strain (used as the background strain for the rTg4510 which is a…
1 paper · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
1 paper · 0 benchmarks
Volumetric CMR Cartesian Datasets (Free-running self-gated 3D cine, 4D Flow and stress 4D Flow Undersampled Datasets)
Datasets at https://zenodo.org/record/8105485 for Motion Robust CMR Reconstruction Code in https://github.com/syedmurtazaarshad/motion-robust-CMR
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.