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Dataset results
264 results for “meningioma”
A novel strategy for fully automated segmentation of supratentorial meningiomas: Use of pre-trained models and inclusion of normal brain images
<p>This repository is accompanying MRI datasets under the journal, titled: <strong>A novel strategy for fully automated segmentation of supratentorial meningiomas: Use of pre-trained models and inclusion of normal brain images</strong>. </p> <p>Nii_data.tar.gz (zipped) file includes MRI images of all patients described in the paper that are formatted as .nii.</p>
Supplemental material: Operative videos on application of microscope-based augmented reality with intraoperative computed tomography-based navigation for resection of skull base meningiomas
<p>Supplemental material</p> <p>Operative videos:</p> <p>Patient number 9: Microsurgical resection of medial sphenoid wing meningioma using microscope-based augmented reality and intraoperative computed tomography-based navigation</p> <p>Pt 28:Microsurgical resection of right clinoidal meningioma via fronto-temporal craniotomy with microscope-based augmented reality</p> <p>Pt 31:Microsurgical resection of recurrent sphenoid wing meningioma using microscope-based augmented reality with intraoperative computed tomography</p> <p>Pt 36: Microsurgical resection of giant olfactory meningioma via bifrontal approach with use of augmented reality and intraoperative CT-based navigation</p>
RNA-sequencing of meningioma cell lines with miRNA constructs
<p>RNA-sequencing of meningioma cell lines with miRNA constructs.</p>
meningioma dataset 10-13-17
<p>The dataset (satra's) from the task "meningioma_001" (from *some* subjects in BrainBox, and only axial slices with tumor) on Medulina, that I've been using to train a deep learning network. The data is a .npz, when loaded (data = np.load() ) it has keys: ["X", "y", "labels"] where labels correspond to subject ids (to help you split the data). X is shape (188, 256, 256, 2) where there are 188 slices, 256x256 in dimension, with 2 channels, where the first is the grayscale image and the second is the aggregate "hint" from Medulina.</p> <p>md5-data-hash: 0774e3e5c31ebc24a2c4503634b48ccc</p>
Phase II Trial of Pembrolizumab in Recurrent or Residual High Grade Meningioma
ClinicalTrials.gov study NCT03279692. IPD Sharing: NO. Countries: 1. Publications: 1.
Erlotinib in Treating Patients With Recurrent Malignant Glioma or Recurrent or Progressive Meningioma
ClinicalTrials.gov study NCT00045110. IPD Sharing: NO. Countries: 1. Publications: 1.
Magnesium and Intraoperative Blood Loss in Meningioma Surgery
ClinicalTrials.gov study NCT03558516. IPD Sharing: NO. Countries: 1. Publications: 17.
Combination of Hydroxyurea and Verapamil for Refractory Meningiomas
ClinicalTrials.gov study NCT00706810. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Imatinib Mesylate and Hydroxyurea in Treating Patients With Recurrent or Progressive Meningioma
ClinicalTrials.gov study NCT00354913. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Exploratory Evaluation of AR-42 Histone Deacetylase Inhibitor in the Treatment of Vestibular Schwannoma and Meningioma
ClinicalTrials.gov study NCT02282917. IPD Sharing: NO. Countries: 1. Publications: 2.
Trabectedin for Recurrent Grade II/III Meningioma
ClinicalTrials.gov study NCT02234050. IPD Sharing: Not stated. Countries: 10. Publications: 1.
Gleolan for Visualization of Newly Diagnosed or Recurrent Meningioma
ClinicalTrials.gov study NCT04305470. IPD Sharing: Not stated. Countries: 3. Publications: 0.
S9811 Hydroxyurea in Treating Patients With Unresectable Benign Meningioma
ClinicalTrials.gov study NCT00003590. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Observation or Radiation Therapy in Treating Patients With Grade I, Grade II, or Grade III Meningioma
ClinicalTrials.gov study NCT00895622. IPD Sharing: Not stated. Countries: 2. Publications: 3.
Meningioma FFPE samples
<p>RNA-sequencing of meningioma samples from FFPE</p>
Single Cell Profiling of Human Dura and Meningioma Reveals Cellular Meningeal Landscape and Insights into Meningioma Immune Response
<p>This repository contains the single-cell RNA-seq data described in the publication “Single Cell Profiling of Human Dura and Meningioma Reveals Cellular Meningeal Landscape and Insights into Meningioma Immune Response.” Data is provided as count matrices and Seurat objects.</p>
Vismodegib, FAK Inhibitor GSK2256098, Capivasertib, and Abemaciclib in Treating Patients With Progressive Meningiomas
ClinicalTrials.gov study NCT02523014. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Carbon Ion Radiotherapy for Atypical Meningiomas
ClinicalTrials.gov study NCT01166321. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Multisession Radiosurgery in Large Meningiomas
ClinicalTrials.gov study NCT02974127. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Exploratory Study of PD-1 Neoadjuvant Treatment of Recurrent Meningioma
ClinicalTrials.gov study NCT04728568. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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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.