Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
206
datasets available to search
ShareScore release 0.9.0
Dataset results
206 results for “functional MRI”
Cardiac MRI in Measuring the Impact of Anti-androgen Treatment on Cardiac Function in Patients With Prostate Cancer
ClinicalTrials.gov study NCT02722525. IPD Sharing: NO. Countries: 1. Publications: 0.
Cerebral Substrates of Prospective Memory in Young and Its Disruption in Normal Aging and in Alzheimer's Disease: A Study in Anatomical MRI, Diffusion Tensor MRI and Functional MRI
ClinicalTrials.gov study NCT02522091. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Optimisation of Functional MRI-based Neurofeedback for Alcohol Use Disorders
ClinicalTrials.gov study NCT02406456. IPD Sharing: Not stated. Countries: 1. Publications: 0.
MRI Study of Antidepressants in the Treatment of Refractory Functional Dyspepsia
ClinicalTrials.gov study NCT03973567. IPD Sharing: NO. Countries: 1. Publications: 0.
Acquisition of Cardiac Function Parameters in MRI and Echocardiography in Patients with Ethyltoxic Liver Cirrhosis and Transjugular Intrahepatic Portosystemic Shunt (TIPSS) Placement
ClinicalTrials.gov study NCT06814990. IPD Sharing: NO. Countries: 1. Publications: 0.
Functional Magnetic Resonance Imaging (MRI) of Hypnosis and Mindfulness Meditation
ClinicalTrials.gov study NCT01135810. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Intracranial atherosclerosis on 7T MRI and cognitive functioning – the SMART-MR study
Open the record for dataset details and reuse information.
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
<p><strong>Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation</strong></p> <p>This repository contains data contributed and used in our MICCAI 2021 paper:<br> Fidon, L. et al. Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation.</p> <p>Our code is publicly available at<br> <a href="https://github.com/LucasFidon/fetal-brain-segmentation-partial-supervision-miccai21">https://github.com/LucasFidon/fetal-brain-segmentation-partial-supervision-miccai21</a></p> <p><strong>Files:</strong></p> <ul> <li>FeTA2021_Release1and2Corrected_v4.zip: contains 90 fetal brain T2w MRIs of the FeTA 2021 dataset with updated manual segmentations</li> <li>MICCAI21_partial_supervision_trained_models.zip: contains the weights of our pre-trained deep neural networks for fetal brain 3D MRI segmentation</li> </ul> <p>The FeTA 3D MRIs and segmentations contained in this repository shall be used only for research and education purposes.</p> <p>Segmentation labels:<br> 1: white matter (excluding corpus callosum; see below)<br> 2: intra-axial cerebrospinal fluid (CSF)<br> 3: cerebellum<br> 4: extra-axial CSF<br> 5: cortical gray matter<br> 6: deep gray matter<br> 7: brainstem<br> 8: corpus callosum</p> <p><strong>Updates:</strong></p> <p><strong>Version 4 (November 2022)</strong><br> 8 cases were forgotten by mistake when uploading version 3 (sub-feta004, sub-feta008, sub-feta017, sub-feta020, sub-feta021, sub-feta022, sub-feta023, sub-feta027). I have added them back in version 4, including the corpus callosum segmentations for those cases.<br> <br> Thank you to those who let me know about this. Please do not hesitate to reach out to me (lucas.fdon@gmail.com) if you think something is wrong.</p> <p><strong>Version 3 (July 2022)</strong></p> <p>Added some corpus callosum segmentations that were missing in version 2.</p> <p><strong>Version 2 (Avril 2022)</strong></p> <p>3D MRI and refined manual segmentation have been added for:<br> - the 10 fetal brain MRIs of the testing set of the FeTA data release 1 (sub-feta081 to sub-feta090).<br> - the 40 fetal brain MRIs new in the FeTA data release 2 (sub-041 to sub080).<br> The same pre-processing as in version 1 below has been performed.<br> The code used for the pre-processing is available at<br> https://github.com/LucasFidon/fetal-seg-preprocessing</p> <p>Some additional refinements of the manual segmentation have been performed for sub-feta001 to sub-feta040.</p> <p>See participant.tsv for more information about the 3D MRI studies.</p> <p>The pathology for each study has been diagnosed by two radiologists in our team and can be found in participant.tsv.<br> Those are not present in the original FeTA dataset release 2.1</p> <p><strong>Version 1</strong><br> Summary of the changes done on the original FeTA dataset (data release 1) [1].</p> <p>The only modifications we did are detailed below (pre-processing and manual segmentation).</p> <p>Pre-processing:<br> -registration to the neurotypical fetal brain atlas of Gholipour et al [2]<br> -resampling to 0.8mm isotropic<br> -automatic mask via label propagation using a neurotypical [2] and a spina bifida [3] fetal brain atlas.</p> <p>The code used for the pre-processing is available at<br> https://github.com/LucasFidon/fetal-seg-preprocessing</p> <p>Segmentation:<br> Manual corrections of all manual segmentations by Michael Aertsen, Lucas Fidon, and Philippe Demaerel for the 38 3D MRIs in the FeTA dataset release 1.<br> For 2 cases, the segmentations were not corrected manually (see /Excluded).</p> <p>[1] 10.5281/zenodo.4541605<br> [2] http://crl.med.harvard.edu/research/fetal_brain_atlas/<br> [3] 10.7303/syn25887675</p> <p><strong>How to cite:</strong></p> <p>If you use the deep neural network weights please cite:</p> <ul> <li>Fidon, L., Aertsen, M., Emam, D., et al. Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. MICCAI (2021).</li> </ul> <p>if you use the FeTA data (release 1 and 2) and the corrected segmentations that we contributed please cite:</p> <ul> <li>Payette, K., de Dumast, P., Kebiri, H. et al. An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset. Sci Data 8, 167 (2021). https://doi.org/10.1038/s41597-021-00946-3</li> <li>Fidon, L., Aertsen, M., Emam, D., et al. Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation. MICCAI (2021).</li> </ul> <p><strong>Terms of use - FeTA 3D MRIs and segmentations:</strong></p> <p>This is an agreement (“Agreement”) between you the downloader (“Downloader”) and the owner of the materials (“User”) governing the use of the Fetal Tissue Annotation and Segmentation Dataset to be downloaded.</p> <p>I. Acceptance of this Agreement</p> <p>By downloading or otherwise accessing the Fetal Tissue Annotation and Segmentation Dataset, the Downloader represents his/her acceptance of the terms of this Agreement.</p> <p>II. Data ownership</p> <p>The owner of the Fetal Tissue Annotation and Segmentation Dataset is the University Children’s Hospital Zurich.</p> <p>III. Use of the Materials</p> <p>Fetal Tissue Annotation and Segmentation Dataset is used only for research and education. Any other kind of use you will lead to the recall of all datasets, stop of collaboration, and legal consequences. This Agreement represents the entire agreement between Downloader and User with respect to the downloading and use of the Materials and supersedes all prior or contemporaneous communications and proposals (whether oral, written, or electronic) between Downloader and User with respect to downloading or using the Materials. </p> <p> </p>
Dynamic pulmonary MRI using motion-state weighted motion-compensation (MostMoCo) reconstruction with ultrashort TE: A structural and functional study
<p>Two dynamic pulmonary MRI datasets reconstructed using MostMoCo</p>
Dynamic Effects of Online HDF on Cardiac Function and Myocardial Perfusion Utilising Cardiac MRI (CAMRID)
ClinicalTrials.gov study NCT02494843. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Development and Validation of a Functional MRI Biomarker of Cerebral Small Vessel Dysfunction in CADASIL
ClinicalTrials.gov study NCT06859658. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Assessment of Cholinergic and Cognitive Function Using Pharmacologic ASL-Perfusion MRI
ClinicalTrials.gov study NCT01379001. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Development of a Monitoring Set-up and Algorithm Using Functional MRI (fMRI) and EEG for Prediction of Response to Repetitive Deep Transcranial Magnetic Stimulation (rDTMS) for Patients With Parkinson
ClinicalTrials.gov study NCT02249715. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Cartography of Functional and Epileptic Cerebral Areas by Functional MRI and Electroencephalography in Epileptic Patients Before and After Surgery
ClinicalTrials.gov study NCT03102957. IPD Sharing: NO. Countries: 0. Publications: 0.
Behavioural Study in Chronic Pain : Creativity and Motivation, and Circuits Involved in Functional MRI
ClinicalTrials.gov study NCT06502496. IPD Sharing: NO. Countries: 0. Publications: 0.
Using Muscle Functional MRI to Study Spatial Muscle Activation Patterns in People With SCI
ClinicalTrials.gov study NCT07073313. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Changes in Brain Activity (Functional MRI Study) Before and After Behavioral Therapy of Height Phobia
ClinicalTrials.gov study NCT00302978. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Post Cardiac Surgery Neurocognitive Decline: Correlations Between Neuropsychological Tests and Functional MRI Techniques
ClinicalTrials.gov study NCT01622452. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Task-Based Functional MRI (fMRI) in Patients With Severely Bothersome Tinnitus
ClinicalTrials.gov study NCT01172262. IPD Sharing: Not stated. Countries: 0. Publications: 0.
MRI and Lung Function Measures of Benralizumab Response in Asthma
ClinicalTrials.gov study NCT04182802. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.