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Segmentation of Cerebral Vessels in Mouse Tof-Mra Via an Attention-Based Multi-Kernel Convolutional Network with Multiscale Vessel Enhancement

https://doi.org/10.2139/ssrn.4784957
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CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation
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3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
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Vascular Segmentation in TOF MRA Images of the Brain Using a Deep Convolutional Neural Network
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Snakes: Active contour models
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Gadolinium-enhanced small-animal TOF magnetic resonance angiography
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Vessel segmentation using multiscale vessel enhancement and a region based level set model
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Image segmentation methods for intracranial aneurysm haemodynamic research
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RATS: Rapid Automatic Tissue Segmentation in rodent brain MRI
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CS 2 -Net: Deep learning segmentation of curvilinear structures in medical imaging
inferredcites →https://doi.org/10.1016/j.media.2022.102581openalex-extracted
3D vessel-like structure segmentation in medical images by an edge-reinforced network
inferredcites →https://doi.org/10.1016/j.neurobiolaging.2014.08.032openalex-extracted
Altered brain development in an early-onset murine model of Alzheimer's disease
inferredcites →https://doi.org/10.1016/j.nicl.2013.08.017openalex-extracted
Impaired structural correlates of memory in Alzheimer's disease mice
inferredcites →https://doi.org/10.1016/s1361-8415(98)80009-1openalex-extracted
Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images
inferredcites →https://doi.org/10.1109/3dv.2016.79openalex-extracted
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2019.00326openalex-extracted
Dual Attention Network for Scene Segmentation
inferredcites →https://doi.org/10.1109/icpr.2014.553openalex-extracted
Geodesic Active Contours with Adaptive Configuration for Cerebral Vessel and Aneurysm Segmentation
inferredcites →https://doi.org/10.1109/isbi.2019.8759569openalex-extracted
Cerebrovascular Network Segmentation of MRA Images With Deep Learning
inferredcites →https://doi.org/10.1109/jbhi.2020.3042069openalex-extracted
Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation
inferredcites →https://doi.org/10.1109/tmi.2010.2046908openalex-extracted
N4ITK: Improved N3 Bias Correction
inferredcites →https://doi.org/10.1109/tmi.2016.2550102openalex-extracted
Enhancement of Vascular Structures in 3D and 2D Angiographic Images
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Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks
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In Vivo MR Angiography and Velocity Measurement in Mice Coronary Arteries at 9.4 T: Assessment of Coronary Flow Velocity Reserve
inferredcites →https://doi.org/10.1161/01.str.0000021902.33129.69openalex-extracted
Inflammatory Cell Adhesion Molecules in Ischemic Cerebrovascular Disease
inferredcites →https://doi.org/10.1161/01.str.0000137412.35700.0eopenalex-extracted
Mouse Model of Microembolic Stroke and Reperfusion
inferredcites →https://doi.org/10.1602/neurorx.2.3.396openalex-extracted
Rodent models of focal stroke: Size, mechanism, and purpose
inferredcites →https://doi.org/10.3390/app12052288openalex-extracted
Cerebrovascular Segmentation Model Based on Spatial Attention-Guided 3D Inception U-Net with Multi-Directional MIPs
inferredcites →https://doi.org/10.3390/electronics10101165openalex-extracted
Effects of Enhancement on Deep Learning Based Hepatic Vessel Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1809.10486openalex-extracted
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
inferredcites →https://doi.org/10.7910/dvn/tiofr2openalex-extracted
Synthetic Vasculature Datsets
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