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67 results for “image based modelling”

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geo24/100

A human iPSC-based neural spheroid platform for modeling glioblastoma infiltration using high-content imaging

GEO Series GSE308010. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2025View details →
zenodo20/100

Image Dataset and Trained Detection Models (based on YOLOv5 and EfficientNet) of Mangrove Crabs of China

<p>A&nbsp;manually annotated&nbsp;image dataset of crabs collected from 16 mangrove forests in China, and a set of trained detection models based on YOLOv5 and EfficientNet. We provide a simple UI that is designed by us, please cite it if helpful.</p>

restrictedDec 2022View details →
ClinicalTrials.gov20/100

A Predictive Model Based on Narrow Band Imaging for Early Gastric Cancerous Lesions

ClinicalTrials.gov study NCT02968069. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Prediction Model of Treatment Efficacy for Age-related Macular Degeneration Based on Multi-source Imaging Modalities

ClinicalTrials.gov study NCT06583109. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Machine Learning and 3D Image-based Modeling for Body Weight Estimation.

ClinicalTrials.gov study NCT06281938. IPD Sharing: YES. Countries: 0. Publications: 0.

controlledIPD-YESFeb 2026View details →
zenodo12/100

Dataset related to article "Automated Head Tissue Modelling Based on Structural Magnetic Resonance Images for Electroencephalographic Source Reconstruction"

<p><strong>SCORING SEGMENTATIONS</strong></p> <ul> <li>Qualitative segmentation scores by two raters (rater1; rater2).</li> <li>Scale: excellent (4); good (3); doubtful (2) and failed (1).</li> </ul> <p>&nbsp;</p> <p><strong>DATABASES</strong></p> <ul> <li>IXI database, Imperial College of London (<a href="https://brain-development.org/ixi-dataset/">https://brain-development.org/ixi-dataset/</a>)</li> <li>Autism Brain Imaging Data Exchange (ABIDE) database (<a href="http://fcon_1000.projects.nitrc.org">http://fcon_1000.projects.nitrc.org</a>)</li> <li>SchizConnect database (<a href="http://schizconnect.org">http://schizconnect.org</a>)</li> </ul> <p>&nbsp;</p> <p><strong>SEGMENTATION METHODS</strong></p> <ul> <li>MR-TIM (Taberna et al., 2021), green rows</li> <li>WTS (Liu et al., 2017), red rows</li> </ul> <p>&nbsp;</p> <p><strong>TABLES</strong></p> <p><strong>IXI_young </strong></p> <ul> <li>20 MRI from the IXI database, participants 20&ndash;35 years old;</li> <li>MR scanners: Philips Intera 3.0T (HH); Philips Gyroscan Intera 1.5T (G)</li> </ul> <p><strong>IXI_older</strong></p> <ul> <li>20 MRI from the IXI database, participants 60&ndash;75 years old;</li> <li>MR scanners: Philips Intera 3.0T (HH); Philips Gyroscan Intera 1.5T (G)</li> </ul> <p><strong>ABIDE</strong></p> <ul> <li>10 MRI from the ABIDE database, participants 18-25 years old;</li> <li>MR scanner: Philips Achieva 3.0T</li> </ul> <p><strong>SchizConnect</strong></p> <ul> <li>10 MRI from the SchizConnect database, participants 19-66 years old;</li> <li>MR scanner: Siemens Trio Tim 3.0T</li> </ul> <p>&nbsp;</p> <p><strong>REFERENCES</strong></p> <p>Liu, Q., Farahibozorg, S., Porcaro, C., Wenderoth, N., &amp; Mantini, D. (2017). Detecting large-scale networks in the human brain using high-density electroencephalography. Hum Brain Mapp, 38(9), 4631-4643. doi:10.1002/hbm.23688</p> <p>Taberna, G. A., Samogin, J., &amp; Mantini, D. (2021). Automated Head Tissue Modelling Based on Structural Magnetic Resonance Images for Electroencephalographic Source Reconstruction. Neuroinformatics. doi:10.1007/s12021-020-09504-5</p>

restrictedAug 2021View details →
zenodo8/100

Development and validation of a prediction model using sella magnetic resonance imaging-based radiomics and clinical parameters for diagnosis of growth hormone deficiency and idiopathic short stature: A multicenter, cross-sectional study

Open the record for dataset details and reuse information.

restrictedOct 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record