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1,246 results for “vessel”
Validation dataset and reference code for Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis Challenge, MICCAI 2022.
<p>Validation dataset and reference code for <strong>Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis Challenge, MICCAI 2022</strong>. </p> <p>Please refer to our website: <strong>https://vessel-wall-segmentation-2022.grand-challenge.org/</strong>.</p>
VETO: Vessel topology manual annotation dataset
<p>We have labeled the vessel topology on four public-available retinal datasets:</p> <p>INSPIRE [1]<br>VICAVR [2]<br>IOSTAR [3]<br>DRIVE [4]<br>Two experts were asked to manually label the topological information of the retinal vascular structure by using a graph editing software we developed for this task. Expert one and two independently labeled each vessel segment or centerline for all datasets, based on the types of available manual annotations of the vessel structure. Then the consensus between them was released for public use.</p> <p>It is worth noting that the vessel segments or vessel centerlines were used for topology estimation were extracted either by human grader or automatic vessel segmentation method, i.e. the DRIVE and IOSTAR datasets include the manual annotations of retinal vessel for each image, so the topology reconstruction were performed at manual annotated vessel patterns; for VICAVR datasets, the topology estimation were performed at the automatic segmented vessels by using the automated segmentation method [5]; for INSPIRE dataset, the human expert graded the topology at the vessel centerline which were provided by [6].</p> <p>[1] M. Niemeijer, X. Xu, A. Dumitrescu, B. van Ginneken, J. Folk, and M. Abràmoff, “Automated measurement of the arteriolar-to-venular width ratio in digital color fundus photographs,” IEEE Trans. Med.Imaging, vol. 30, no. 11, pp. 1941–1950, 2011.</p> <p>[2] S. G. Vázquez, B. Cancela, N. Barreira, G. C. de Tuero, M. A. Barceló, and M. Saez, “Improving retinal artery and vein classification by means of a minimal path approach,” Mach. Vis. Appl., vol. 24, no. 5, pp. 919– 930, 2013.</p> <p>[3] J. Zhang, B. Dashtbozorg, E. J. Bekkers, J. P. W. Pluim, R. Duits, and B. M. ter Haar Romeny, “Robust retinal vessel segmentation via locally adaptive derivative frames in orientation scores,” IEEE Trans. Med. Imaging, vol. 35, pp. 2631–2644, 2016.</p> <p>[4] J. Staal, M. D. Abràmoff, M. Niemeijer, M. A. Viergever, and B. van Ginneken, “Ridge-based vessel segmentation in color images of the retina,” IEEE Transactions on Medical Imaging, vol. 23, pp. 501–509, 2004.</p> <p>[5] Y. Zhao, L. Rada, K. Chen, , and Y. Zheng, “Automated vessel segmentation using infinite perimeter active contour model with hybrid region information with application to retinal images,” IEEE Trans. Med. Imaging, vol. 34, no. 9, pp. 1797–1807, 2015.</p> <p>[6] R. Estrada, C. Tomasi, S. Schmidler, and S. Farsiu, “Tree topology estimation,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 37, no. 8, pp. 1688–1701, 2015.</p>
Dataset related to article [18F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis
<p>[<sup>18</sup>F]FDG PET/CT in Large Vessel Vasculitis: The Impact of Expertise and Confounders on Image Analysis</p> <p> </p>
GNSS and IMU data recorded during a vessel sail
<p>Example data point of this data set:</p> <pre><code>"0": { "timestamp": 1674573910407, "acceleration_x_ms2": -0.121791042, "acceleration_y_ms2": -0.025389839, "acceleration_z_ms2": -0.049855232, "gps_lat": 51.1537593172, "gps_lon": 2.8057965827, "sog_kmh": 0.39, "rot_deg_min": "1.3", "heading_deg": 230.313, "imu_lat": null, "imu_lon": null, "roll_rate_deg_min": null, "pitch_rate_deg_min": null, "yaw_rate_deg_min": null, "roll_deg": null, "pitch_deg": null, "yaw_deg": null }</code></pre> <p> </p>
Individual Patient Expanded Access for Acellular Tissue Engineered Vessel (ATEV) for Vascular Disease and Dialysis Access
ClinicalTrials.gov study NCT07141641. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Individual Patient Expanded Access for Acellular Tissue Engineered Vessel (ATEV) for Vascular System Injuries
ClinicalTrials.gov study NCT03631056. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Differentiation of PSC into lung organoids with endogenous functional alveolar macrophages and blood vessels
GEO Series GSE142838. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
Expression data from collecting lymphatic vessels
GEO Series GSE34135. Mus musculus. 4 samples. Type: Expression profiling by array.
Rotating wall vessel (RWV) grown A549s compared to monolayer grown A549s infected with F. tularensis SchuS4 over a 22 hour time-course (2, 6 and 22 h post infection)
GEO Series GSE40808. Homo sapiens. 72 samples. Type: Expression profiling by array.
A neuroprotective locus modulates ischemic stroke infarction independent of collateral vessel anatomy
GEO Series GSE168383. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Rotating wall vessel (RWV) grown A549s compared to monolayer grown A549s
GEO Series GSE36931. Homo sapiens. 10 samples. Type: Expression profiling by array.
Coronary blood vessels from distinct origins converge to equivalent states during mouse and human development (Mouse)
GEO Series GSE213274. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Bioinspired non-expansive biodegradable matrix promotes blood vessel organoid development for ischemic stroke repair
GEO Series GSE301087. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
qPCR gene expression profiling of 84 key genes involved in brain micro-vessel treatment
GEO Series GSE243144. Mus musculus. 2 samples. Type: Expression profiling by RT-PCR.
Transcriptomic profiling of senescent human blood vessel cells upon medicinal intervention with ginkgo boliba extract or rattan tea extract
GEO Series GSE173592. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Dataset related to article "Vessels Encapsulating Tumor Clusters (VETC) Is a Powerful Predictor of Aggressive Hepatocellular Carcinoma.
<p>We investigated the clinical significance of a vascular growth pattern of hepatocellular carcinoma (HCC), the vessels that encapsulate tumor clusters (VETC), previously linked to HCC metastatic dissemination. VETC was assessed in a large multi-institutional cohort of 541 resected HCCs from Italy, Korea and Japan, and matched against a full spectrum of clinical and pathological variables. The VETC phenotype (defined as ≥ 55% tumor area by CD34 immunostaining) was easily reproducible and reliably detectable in whole sections and small-sized tissues of tissue microarray. VETC HCCs represented 18.9% of the whole series, the lowest proportion occurring in the cohort with smallest tumors (8.7%, Japanese series). VETC was significantly associated with several clinical and pathological features such as high alfa-fetoprotein (AFP) level, tumor size greater than 5 cm, poor differentiation, macrotrabecular pattern, less compact pattern, less inflammatory infiltrates, and frequent microvascular invasion. VETC was associated with early recurrence (hazard ratio [HR]: 1.52 [1.06-2.19], P = 0.023), disease-free survival (HR: 1.66 [1.21-2.27], P = 0.002), and overall survival (HR: 2.26 [1.37-3.72], P = 0.001) at multivariable analysis. VETC affected the survival in HCC patients stratified for etiology (hepatitis C virus/hepatitis B virus), vascular invasion, and specific molecular phenotypes (β-catenin/GS+). This distinct vascular pattern was enriched in the recently reported macrotrabecular massive HCC subtype, which was seen in 7.8% (42 of 541) of patients and associated with high AFP levels and poor differentiation. Conclusion: The VETC pattern was found to be easily detectable in a consistent fraction of HCC and a powerful pathological finding affecting survival. This study suggests that the heterogeneous pattern of angiogenesis is involved in HCC behavior.</p>
CADA Test Dataset Addon for Task 3: Vessel and Aneurysm Masks/Geometries
<p>Test data addon for the <a href="https://cada.grand-challenge.org/">CADA challenge</a> task 3 (rupture risk estimation). This dataset is an addon required for providing processed results for Task 3. See challenge web site for a link to the original image data.</p> <p>See https://cada.grand-challenge.org/Copyright/ for license info on the data.</p> <p>See README.md for detailed info.</p>
vessels
Open the record for dataset details and reuse information.
Dataset related to article "Effect of chemotherapy on tumour-vessel relationship in colorectal liver metastases"
<p>This record contains raw data related to article “Effect of chemotherapy on tumour-vessel relationship in colorectal liver metastases"</p> <p><sup>Abstract</sup></p> <p>Chemotherapy is the fundamental companion of surgery for treatment of patients with colorectal liver metastases (CLMs)1 .<br> When chemotherapy leads to tumour shrinkage, this is expected to have two major effects. It reduces tumour burden and, most relevant for surgeons, shrinkage may detach CLMs from vessels, enabling more conservative procedures and increasing resectabil- ity. Although the first effect is indisputable, the second one has not been confirmed completely by data. In two studies 6,7 with some limitations, including small sample size and low adoption of targeted therapies, tumour shrinkage led to regression of tumour–vessel contact in only one-fifth of patients. The authors’ group has pursued an aggressive ultrasound- guided parenchyma-sparing approach based on a vessel-sparing policy, scheduling tumour detachment from vessels or partial<br> vein resection/reconstruction whenever possible since 2004. This has allowed accurate analysis of modification of the tumour–vessel relationship after chemotherapy. The aim of this study was to elucidate whether tumour shrinkage by chemother- apy corresponds to regression of CLM–vessel contact</p> <p> </p> <p> </p>
Adults with tetralogy of Fallot show specific features of cerebral small vessel disease: the BACH San Donato study
<p>Melazzini L, Savoldi F, Chessa M, Vitali P, Zanardo M, Bertoldo EG, Fiolo V, Griffanti L, Carminati M, Frigiola A, Giamberti A, Secchi F, Callus E, Codari M, Sardanelli F. Adults with tetralogy of Fallot show specific features of cerebral small vessel disease: the BACH San Donato study. Brain Imaging Behav. 2022 Aug;16(4):1721-1731. doi: 10.1007/s11682-022-00629-6. Epub 2022 Mar 9. PMID: 35266099; PMCID: PMC8906830.</p> <p>Abstract</p> <p>Life expectancy in adults with congenital heart disease (ACHD) has increased. As these patients grow older, they experience aging-related diseases more than their healthy peers. To better characterize this field, we launched the multi-disciplinary BACH (Brain Aging in Congenital Heart disease) San Donato study, that aimed at investigating signs of brain injury in ACHD. Twenty-three adults with repaired tetralogy of Fallot and 23 age- and sex-matched healthy controls were prospectively recruited and underwent brain magnetic resonance imaging. White matter hyperintensities (WMHs) were segmented using a machine-learning approach and automatically split into periventricular and deep. Cerebral microbleeds were manually counted. A subset of 14 patients were also assessed with an extensive neuropsychological battery. Age was 41.78 ± 10.33 years (mean ± standard deviation) for patients and 41.48 ± 10.28 years for controls (p = 0.921). Albeit not significantly, total brain (p = 0.282) and brain tissue volumes (p = 0.539 for cerebrospinal fluid, p = 0.661 for grey matter, p = 0.793 for white matter) were lower in ACHD, while total volume (p = 0.283) and sub-classes of WMHs (p = 0.386 for periventricular WMHs and p = 0.138 for deep WMHs) were higher in ACHD than in controls. Deep WMHs were associated with poorer performance at the frontal assessment battery (r = -0.650, p = 0.012). Also, patients had a much larger number of microbleeds than controls (median and interquartile range 5 [3-11] and 0 [0-0] respectively; p < 0.001). In this study, adults with tetralogy of Fallot showed specific signs of brain injury, with some clinical implications. Eventually, accurate characterization of brain health using neuroimaging and neuropsychological data would aid in the identification of ACHD patients at risk of cognitive deterioration.</p>
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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.
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.