18 datasets found

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  • EPVS Detection Dataset

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

  • ABIDE-1

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

  • 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.

  • Visual EPVS scoring dataset

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

  • 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...

  • 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.

  • OASIS dataset

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

  • MSLUB dataset

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

  • 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...

  • 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...

  • SRI24

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

  • Shifts Challenge

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

  • HCP30 Dataset

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

  • IXI dataset

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

  • LPBA40

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

  • 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...

  • Probabilistic Atlas

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

  • T1-weighted 3D brain MRI scans

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