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3,036 results for “ct”
SEEG, MRI, CT for BrainQuake analysis
<p>SEEG data, MRI T1 image, and CT image for the results in "BrainQuake: an open-source Python toolbox for Stereo-EEG analysis".</p> <p>Intracranial stereo-electroencephalography (SEEG) is broadly used in pre-surgical evaluation of intractable epilepsy, due to its high temporal resolution in neural activity recording and high spatial resolution within suspected epileptogenic zones. Neurosurgeons or technicians should face the challenge of conducting a workflow of post-processing operations with multi-modal data (e.g. MRI, CT, EEG) after implantation surgery.</p> <p>BrainQuake, an open-source Python software, integrates modules and pipelines in surface reconstruction, electrode localization, ictal and inter-ictal SEEG analysis, and final visualizations, each of which is highly automated with a user-friendly graphical user interface (GUI).</p>
Evolution of CT Findings and Lung Residue in Patients with COVID-19 Pneumonia: Quantitative Analysis of the Disease with a Computer Automatic Tool
<p>We uploaded the database of the patients entrolled in the manuscript: Grassi, Roberto, Salvatore Cappabianca, Fabrizio Urraro, Vincenza Granata, Giuliana Giacobbe, Simona Magliocchetti, Diletta Cozzi, Roberta Fusco, Roberta Galdiero, Carmine Picone, Maria P. Belfiore, Alfonso Reginelli, Umberto Atripaldi, Ornella Picascia, Michele Coppola, Elio Bignardi, Roberta Grassi, and Vittorio Miele. 2021. "Evolution of CT Findings and Lung Residue in Patients with COVID-19 Pneumonia: Quantitative Analysis of the Disease with a Computer Automatic Tool" <em>Journal of Personalized Medicine</em> 11, no. 7: 641. https://doi.org/10.3390/jpm11070641</p>
Dataset for effects of shear zone thickness in root-reinforced soils: Willow F X-ray CT scans and digital volume correlation data
<p>Dataset for effects of shear zone thickness in root-reinforced soils: Willow F X-ray CT scans and digital volume correlation data</p>
Figure 5 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758
Figure 5 - Network analysis for the molecular distinctness of the four delineated Zospeum species.
Figure 6 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758
Figure 6 - Overview of pairwise genetic distance measurements.
Straightened segmentation in 4D cardiac CT: A practical method for multiparametric characterization of the landing zone for transcatheter pulmonary valve replacement
<p>Supplementary files (8 videos, 2 tables) for ''Straightened segmentation in 4D cardiac CT: A practical method for multiparametric characterization of the landing zone for transcatheter pulmonary valve replacement''</p>
Rib CT fracture
<p>This data set is part of the public development data for the <a href="http://auc23.grand-challenge.org/">2023 Automated Universal Classification Challenge</a> (AUC23). The data set concerns the detection and classification of rib fractures on computed tomography (CT) scans and was previously introduced and described by <a href="https://www.sciencedirect.com/science/article/pii/S2352396420304825?via%3Dihub">Jin, L. et al (2020)</a>. The original dataset was modified to classify center-cropped rib fractures and no images or patient information were added. Data was restructured in compliance with the <a href="https://auc23.grand-challenge.org/">AUC23</a> challenge format.</p> <p>Images are 3D tensors:</p> <ul> <li>0: 3D center-cropped CT scan</li> </ul> <p>Fracture classification labels:</p> <ul> <li>0: Displaced</li> <li>1: Non-displaced</li> <li>2: Buckle</li> <li>3: Segmental</li> </ul> <p>Folder structure:</p> <p>imagesTr (root folder with all patients and studies)<br> ├── ribfrac_0001001_0000.mha (3D CT for fracture 0001001)<br> ├── ribfrac_0001002_0000.mha (3D CT for fracture 0001002)<br> ├── ...</p> <p>Please cite the following article if you are using the <a href="https://ribfrac.grand-challenge.org/">Rib Fracture Detection and Classification dataset</a>:</p> <pre><code>Liang Jin, Jiancheng Yang, Kaiming Kuang, Bingbing Ni, Yiyi Gao, Yingli Sun, Pan Gao, Weiling Ma, Mingyu Tan, Hui Kang, Jiajun Chen, Ming Li. Deep-Learning-Assisted Detection and Segmentation of Rib Fractures from CT Scans: Development and Validation of FracNet. EBioMedicine (2020).DOI: https://doi.org/10.1016/j.ebiom.2020.103106</code></pre> <p> </p>
Micro-CT dataset of the paper Taxonomic analysis of the genital plates and associated structures in Ophiuroidea (Echinodermata)
<p>Dataset of reconstructed micro-CT scan data of disc sections of various species of brittle star. See Readme file for details.</p> <p>The scans were performed to examine genital plates and associated structures and therefore include only a section of the disc of each animal. For further information, please see the publication.</p>
A Study o Evaluate the Safety, Tolerability, and Immunogenicity of MVC-COV1901, CT-COV-21 Sub-study
ClinicalTrials.gov study NCT05038618. IPD Sharing: NO. Countries: 1. Publications: 0.
Validation of Low Dose CT for Diagnosis of Urolithiasis
ClinicalTrials.gov study NCT03656913. IPD Sharing: NO. Countries: 1. Publications: 0.
PET Scan Combined With CT Scan in Evaluating Treatment Response in Patients Undergoing Treatment for Bone Cancer or Soft Tissue Sarcoma
ClinicalTrials.gov study NCT00335751. IPD Sharing: NO. Countries: 1. Publications: 0.
68Ga-NYM096 PET/ CT for the Detection of Clear Cell Renal Cell Carcinoma in Presurgical Patients With Renal Masses
ClinicalTrials.gov study NCT07101900. IPD Sharing: YES. Countries: 1. Publications: 0.
Prognostic Value of Baseline Computed Tomography (CT) Perfusion Parameters of Pancreatic Cancer for Patients Undergoing Stereotactic Body Radiotherapy or Surgical Resection
ClinicalTrials.gov study NCT01326364. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Limited Abdominal CT in ED Patients With Abdominal Pain
ClinicalTrials.gov study NCT02146521. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Cone-beam CT in the Diagnosis and Surgical Treatment of Otosclerosis.
ClinicalTrials.gov study NCT05921578. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessing How Normal Variations in CT Scanning Affects Its Interpretation
ClinicalTrials.gov study NCT03038568. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of PCD-CT Based Image Parameters in the Assessment and Quantification of Coronary Artery Disease
ClinicalTrials.gov study NCT05877768. IPD Sharing: NO. Countries: 1. Publications: 0.
Cone Beam and CT Scan for the Diagnosis of Otosclerosis (TACOS)
ClinicalTrials.gov study NCT02435446. IPD Sharing: Not stated. Countries: 1. Publications: 0.
NHLBI-Emory Advanced Cardiac CT Reconstruction
ClinicalTrials.gov study NCT05372627. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Development of a Set of Auxiliary Decision-making System for the Perioperative Period of Hepatectomy Based on Static CT and Artificial Intelligence.
ClinicalTrials.gov study NCT07056270. IPD Sharing: NO. 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.