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88
datasets available to search
ShareScore release 0.9.0
Dataset results
88 results for “high-resolution images”
Risk Assessment and Mechanism Analysis of Intracranial Multiple Aneurysm Instability Based on High-resolution Magnetic Resonance, Imaging Histology and Hemodynamics
ClinicalTrials.gov study NCT06539767. IPD Sharing: Not stated. Countries: 1. Publications: 0.
High-resolution Magnetic Resonance Vessel Wall Imaging of Plaques
ClinicalTrials.gov study NCT07125339. IPD Sharing: NO. Countries: 1. Publications: 0.
Prognostic Value of High-resolution Electrical Source Imaging on the Success of Pediatric Focal Epilepsy Surgery
ClinicalTrials.gov study NCT06271785. IPD Sharing: NO. Countries: 1. Publications: 0.
High-Resolution Diffusion Tensor Imaging (DTI) of the Cervical Spinal Cord in the Setting of Spinal Cord Injury (SCI)
ClinicalTrials.gov study NCT01407705. IPD Sharing: Not stated. Countries: 1. Publications: 0.
High-resolution PET-CT Specimen Imaging for the Perioperative Visualization of Resection Margins
ClinicalTrials.gov study NCT06835426. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Usage of High-resolution Magnetic Resonance Imaging in Patients With Disorders of Consciousness for Early Diagnosis
ClinicalTrials.gov study NCT03475511. IPD Sharing: Not stated. Countries: 1. Publications: 0.
High-resolution Imaging of Tear Film Thickness in Contact Lenses Wearers With Optical Coherence Tomography (OCT). A Pilot Study
ClinicalTrials.gov study NCT02713399. IPD Sharing: Not stated. Countries: 1. Publications: 0.
To Assess the Correlation of High-resolution Specimen PET-CT Imaging, Using the XEOS AURA 10 PET-CT, With the Histopathology Results and Long-term Outcome of Patients Undergoing Resective Cancer Surge
ClinicalTrials.gov study NCT06970275. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Investigation of Different Scanning Protocols for 3 Dimensional High-resolution Imaging of the Human Cornea With Optical Coherence Tomography (OCT) - A Pilot Study
ClinicalTrials.gov study NCT01843101. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Detection of Cervical Lymph Node Metastases With a High-Resolution Positron Emission Tomography (PET) Imaging System
ClinicalTrials.gov study NCT01030497. IPD Sharing: Not stated. Countries: 1. Publications: 0.
High-resolution Magnetic Resonance Imaging (MRI) Scans to Look for Spread of Melanoma to Nearby Lymph Nodes
ClinicalTrials.gov study NCT00463892. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Feasibility Study for Imaging of Peripheral Tumors With a High-Resolution PET Imaging System
ClinicalTrials.gov study NCT01008930. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Usage of High-resolution Magnetic Resonance Imaging in Patients With Post-stroke Aphasia for Predicting the Outcome
ClinicalTrials.gov study NCT03475745. IPD Sharing: NO. Countries: 1. Publications: 0.
MALDI imaging and LC-MS/MS-based fast, high-resolution spatial proteomics demonstrate cellular heterogeneity in situ
GEO Series GSE242688. Mus musculus. 2 samples. Type: Other.
Advancement and New Optimizations of Microcalorimeter Arrays for High-Resolution Imaging X-ray Spectroscopy Project
"We propose to continue our successful research program in developing x-ray microcalorimeter arrays for astrophysics. This development will directly benefit not only the International X-ray Observatory (IXO), but also other possible mission concepts. We will investigate various array and pixel optimizations such as would be needed for large arrays for surveys, or arrays of fast pixels optimized for neutron star burst spectroscopy. The main emphasis of our research will be the further development of arrays of superconducting transition-edge sensors (TES) for imaging x-ray spectroscopy. We have developed a TES pixel that achieves better than 2.5-eV resolution at 6 keV, and arrays of such pixels that are sufficiently uniform in characteristics as to permit common biasing without significant compromises in the operation of any pixel. We are also making arrays of position sensitive TES pixels that show promise for use on IXO. We propose to advance both the single-pixel and position-sensitive arrays so that we can produce arrays suitable for subsystem-level read-out demonstrations of the IXO X-ray Microcalorimeter Spectrometer focal plane. Additionally, we propose to re-evaluate out successful pixel design which, while certainly suitable for use in developing the architecture of arrays and addressing detector systems issues, is not necessarily the final optimization. The performance of a TES depends on the functional form of the current, temperature, and magnetic-field dependence of the resistive transition, and also on the noise at each point on this transition surface. The parameters that describe this transition surface occupy a large phase space, and we have only probed a small portion of it. We propose to fabricate a series of test devices to explore other parts of the phase space and to learn how to engineer the superconducting transition. Recently, our understanding of the physical effects governing the observed resistive transitions has improved, th
2D high-resolution synthetic MR images of Alzheimer's patients and healthy subjects using PACGAN
<p>This dataset encompasses a NIfTI file containing a collection of 500 images, each capturing the central axial slice of a <strong>synthetic brain MRI</strong>. </p> <p>Accompanying this file is a CSV dataset that serves as a repository for the corresponding <strong>labels</strong> linked to each image:</p> <ul> <li><em>Label 0</em>: Healthy Controls (HC)</li> <li><em>Label 1</em>: Alzheimer's Disease (AD)</li> </ul> <p> </p> <p>Each image within this dataset has been generated by <a href="https://github.com/aiformedresearch/PACGAN">PACGAN</a> (Progressive Auxiliary Classifier Generative Adversarial Network), a framework designed and implemented by the <a href="https://aiformedresearch.github.io/aiformedresearch/">AI for Medicine Research Group</a> at the University of Bologna.</p> <p>PACGAN is a generative adversarial network trained to generate high-resolution images belonging to different classes. In our work, we trained this framework on the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset, which contains brain MRI images of AD patients and HC.</p> <p>The implementation of the training algorithm can be found within our <a href="https://github.com/aiformedresearch/PACGAN">GitHub</a> repository, with <a href="https://hub.docker.com/r/aiformedresearch/pacgan">Docker</a> containerization.</p> <p>For further exploration, the pre-trained models are available within the <a href="https://codeocean.com/capsule/6317229/tree">Code Ocean capsule</a>. These models can facilitate the generation of synthetic images for both classes and also aid in classifying new brain MRI images.</p>
High-resolution genome replication profiles, modeling and single-cell imaging define the stochastic nature of replication initiation and termination
GEO Series GSE48561. Saccharomyces cerevisiae. 16 samples. Type: Other.
ICON Michelson Interferometer for Global High-resolution Thermospheric Imaging Viewing Direction A Temperature
MIGHTI samples the O2 A band spectral region at five different wavelengths in order to both measure the shape of the band and to specify a background radiance that is subtracted from the signal. The wavelengths of the filter passbands are selected to maximize the sensitivity to lower thermospheric temperature variations. The temperature measurement is accomplished by a multichannel photometric measurement of the spectral shape of the molecular oxygen A-band around 762 nm wavelength. For each field of view, the signals of the two oxygen lines and the A-band are detected on different regions of a single, cooled, frame transfer charge coupled device (CCD) detector. Two filter channels sample either end of the band to define a background (754.1 nm and 780.1 nm) and three more sample its shape (760.0 nm, 762.8 nm and 765.2 nm). Using three filters that sample the band shape allows the simultaneous retrieval of the atmospheric temperature and common shifts in the center wavelengths of the pass bands due to thermal drifts of the filters. On-board calibration sources are used to periodically quantify thermal drifts, simultaneously with observing the atmosphere.
ICON Michelson Interferometer for Global High-resolution Thermospheric Imaging viewing direction B
The MIGHTI instrument measures the horizontal wind speed and direction (the wind vector). Each MIGHTI unit measures the wind along its line of sight. MIGHTI uses two perpendicular fields of view nominally pointing 45 degrees and 135 degrees in azimuth from the spacecraft velocity (MIGHTI A and MIGHTI B). Combining data from both units, this 90 degrees separation between their views allows the wind vector to be determined. For the wind measurements MIGHTI observes the Doppler shift of the atomic oxygen red and green lines at 630.0 nm and 557.7 nm wavelength. The wavelength shift is measured using field-widened, temperature compensated Doppler Asymmetric Spatial Heterodyne (DASH) spectrometers, employing low order échelle gratings operating at two different orders for the different atmospheric lines. The temperature measurement is accomplished by a multichannel photometric measurement of the spectral shape of the molecular oxygen A-band around 762 nm wavelength. For each field of view, the signals of the two oxygen lines and the A-band are detected on different regions of a single, cooled, frame transfer charge coupled device (CCD) detector. On-board calibration sources are used to periodically quantify thermal drifts, simultaneously with observing the atmosphere.
ICON Michelson Interferometer for Global High-resolution Thermospheric Imaging viewing direction B
The MIGHTI instrument measures the horizontal wind speed and direction (the wind vector). Each MIGHTI unit measures the wind along its line of sight. MIGHTI uses two perpendicular fields of view nominally pointing 45 degrees and 135 degrees in azimuth from the spacecraft velocity (MIGHTI A and MIGHTI B). Combining data from both units, this 90 degrees separation between their views allows the wind vector to be determined. For the wind measurements MIGHTI observes the Doppler shift of the atomic oxygen red and green lines at 630.0 nm and 557.7 nm wavelength. The wavelength shift is measured using field-widened, temperature compensated Doppler Asymmetric Spatial Heterodyne (DASH) spectrometers, employing low order échelle gratings operating at two different orders for the different atmospheric lines. The temperature measurement is accomplished by a multichannel photometric measurement of the spectral shape of the molecular oxygen A-band around 762 nm wavelength. For each field of view, the signals of the two oxygen lines and the A-band are detected on different regions of a single, cooled, frame transfer charge coupled device (CCD) detector. On-board calibration sources are used to periodically quantify thermal drifts, simultaneously with observing the atmosphere.
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.