Brain MRI - Groups

Massachusetts General Hospital Brain MRI Dataset (Evaluation)

A dataset of 10,520 brain MRI scans acquired at Massachusetts General Hospital, used for evaluation of the proposed segmentation method.

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Massachusetts General Hospital Brain MRI Dataset

A dataset of more than 10,000 uncurated, heterogeneous brain MRI scans acquired at Massachusetts General Hospital.

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EPVS Detection Dataset

The dataset used for evaluation of the proposed method for detecting enlarged perivascular spaces in brain MRI.

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ABIDE-1

The dataset used in this paper is 3D T1-weighted brain MRI scans from the multi-site ABIDE-1 study.

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MESA Atrial Fibrillation (AFib) Ancillary Study

The dataset used for training and testing the deep learning model for detecting enlarged perivascular spaces (ePVS) on brain MRI.

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Visual EPVS scoring dataset

The dataset contains 2000 brain MRI scans scored visually by a single expert rater.

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Rotterdam Scan Study

The Rotterdam Scan Study is a population-based study investigating neurological diseases in the middle-aged and elderly. The dataset contains 2017 3D MRI scans from 3 different...

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Colin27

Whole brain segmentation using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images.

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OASIS dataset

The dataset consists of T1-weighted brain MRI images of adults, with manual segmentation of anatomical structures provided.

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MSLUB dataset

The MSLUB dataset consists of brain MRI scans of 30 patients with multiple sclerosis.

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IXI

Fast and accurate reconstruction of magnetic resonance (MR) images from under-sampled data is important in many clinical applications. In recent years, deep learning-based...

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IXI, ADNI, OASIS-3, MCIC, NUSDAST, NYU, KKI

The dataset used in this study for brain sMRI analysis, which includes seven public datasets, including one dataset for pre-training and other six datasets across three diseases...

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SRI24

A dataset of brain MRI images for evaluation of segmentation algorithms.

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Shifts Challenge

A dataset of brain MRI images for evaluation of semi-supervised anomaly segmentation algorithms.

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HCP30 Dataset

The HCP30 dataset used for the Medical Out-of-Distribution (MOOD) challenge

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IXI dataset

The dataset consists of T1-weighted brain MRI images of patients, with manual segmentation of anatomical structures provided.

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LPBA40

The dataset used for testing was chosen based on their popularity for evaluating registration and variation in structure parcellation methods.

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Human Connectome Project

Modeling the behavior of coupled networks is challenging due to their intricate dynamics. For example in neuroscience, it is of critical importance to understand the...

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Probabilistic Atlas

The probabilistic atlas dataset, which includes MRI scans of 20 subjects.

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T1-weighted 3D brain MRI scans

The dataset used for the proposed Segmentation Auto-Encoder (SAE) method for adaptive image segmentation.

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20 datasets found