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White Matter Lesions Dataset
The dataset used in this paper for reconstructing white matter lesions in the brain. -
HIV dataset
The dataset used in the paper is a combination of single cell RNAseq/ATACseq profiles for 74,031 individual HIV infected cells from two different donors. -
Traumatic Brain Injury (TBI) Dataset
This dataset includes 70 T1-weighted and diffusion-weighted MRIs longitudinally collected from 35 individuals with TBI during the subacute and chronic post-injury periods. Each... -
MRBrainS18 dataset
The dataset used for self-supervised learning of 3D medical images. -
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... -
Multi-shell Human Dataset
A dataset for testing the proposed method for sparse spherical deconvolution. -
Tractometer Benchmark
A dataset for testing the proposed method for sparse spherical deconvolution. -
Human Connectome Project (HCP)
The Human Connectome Project (HCP) dataset, containing cortical surface meshes and metrics (sulcal depth, curvature, cortical thickness and T1w/T2w myelination) derived from T1-... -
Developing Human Connectome Project (dHCP)
The dataset used for training and testing the proposed (v)sMAE model, containing cortical surface meshes and metrics (sulcal depth, curvature, cortical thickness and T1w/T2w... -
ATLAS dataset
The ATLAS dataset is used for stroke MRI generation. The dataset contains 220 T1w images, which have diverse stroke lesions. -
TPMIC T2-FLAIR dataset
Local T2-FLAIR dataset used for testing the performance of the proposed Brain Slice Classification Algorithm (BSCA). -
ADNI T2-FLAIR dataset
T2-weighted fluid-attenuated-inversion-recovery (T2-FLAIR) magnetic resonance imaging (MRI) dataset used for training and testing a deep-learning-based model to automatically... -
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...
