Results 91 to 100 of about 1,435,447 (236)

Physics-informed graph neural networks for flow field estimation in carotid arteries [PDF]

open access: yesarXiv
Hemodynamic quantities are valuable biomedical risk factors for cardiovascular pathology such as atherosclerosis. Non-invasive, in-vivo measurement of these quantities can only be performed using a select number of modalities that are not widely available, such as 4D flow magnetic resonance imaging (MRI).
arxiv  

DBF-UNet: A Two-Stage Framework for Carotid Artery Segmentation with Pseudo-Label Generation [PDF]

open access: yesarXiv
Medical image analysis faces significant challenges due to limited annotation data, particularly in three-dimensional carotid artery segmentation tasks, where existing datasets exhibit spatially discontinuous slice annotations with only a small portion of expert-labeled slices in complete 3D volumetric data.
arxiv  

WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification [PDF]

open access: yesarXiv
The classification of carotid artery ultrasound images is a crucial means for diagnosing carotid plaques, holding significant clinical relevance for predicting the risk of stroke. Recent research suggests that utilizing plaque segmentation as an auxiliary task for classification can enhance performance by leveraging the correlation between segmentation
arxiv  

Anatomical variation of the carotid arterial system within the South African population: implications for the treatment of carotid arterial disease [PDF]

open access: yes, 2015
Dissertation submitted to the Faculty of Health Sciences of the University of the Witwatersrand, Johannesburg in fulfilment of the requirement for the degree of Master of Science in Medicine.
Kolkenbeck-Ruh, Andrea Jeanine
core  

Differential blood flow responses to CO2 in human internal and external carotid and vertebral arteries

open access: yesJournal of Physiology, 2012
Kohei Sato   +6 more
semanticscholar   +1 more source

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