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Quantification of Full Left Ventricular Metrics via Deep Regression Learning With Contour-Guidance

https://doi.org/10.1109/access.2019.2907564

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10470-6_73openalex-snapshot

Direct Estimation of Cardiac Bi-ventricular Volumes with Regression Forests

inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot

U-Net: Convolutional Networks for Biomedical Image Segmentation

inferredcites →https://doi.org/10.1007/978-3-319-41501-7_76openalex-snapshot

Estimating Ejection Fraction and Left Ventricle Volume Using Deep Convolutional Networks

inferredcites →https://doi.org/10.1007/978-3-319-59050-9_40openalex-snapshot

Direct Estimation of Regional Wall Thicknesses via Residual Recurrent Neural Network

inferredcites →https://doi.org/10.1007/978-3-319-66179-7_32openalex-snapshot

Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness

inferredcites →https://doi.org/10.1016/j.cmpb.2017.10.028openalex-snapshot

Fast segmentation of the left ventricle in cardiac MRI using dynamic programming

inferredcites →https://doi.org/10.1016/j.cviu.2012.12.008openalex-snapshot

Segmentation of the left ventricle in cardiac cine MRI using a shape-constrained snake model

inferredcites →https://doi.org/10.1016/j.media.2007.12.003openalex-snapshot

Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI

inferredcites →https://doi.org/10.1016/j.media.2011.05.009openalex-snapshot

Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure

inferredcites →https://doi.org/10.1016/j.media.2015.07.003openalex-snapshot

Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation

inferredcites →https://doi.org/10.1016/j.media.2016.01.005openalex-snapshot

A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI

inferredcites →https://doi.org/10.1016/j.media.2016.05.009openalex-snapshot

Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance

inferredcites →https://doi.org/10.1016/j.media.2016.11.008openalex-snapshot

Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression

inferredcites →https://doi.org/10.1016/j.media.2017.09.005openalex-snapshot

Full left ventricle quantification via deep multitask relationships learning

inferredcites →https://doi.org/10.1097/00004424-199709000-00005openalex-snapshot

Assessment of Regional Left Ventricular Wall Parameters from Short Axis Magnetic Resonance Imaging using a Three-Dimensional Extension to the Improved Centerline Method

inferredcites →https://doi.org/10.1109/83.661186openalex-snapshot

Snakes, shapes, and gradient vector flow

inferredcites →https://doi.org/10.1109/access.2017.2789179openalex-snapshot

Deep Regression Segmentation for Cardiac Bi-Ventricle MR Images

inferredcites →https://doi.org/10.1109/cvpr.2017.243openalex-snapshot

Densely Connected Convolutional Networks

inferredcites →https://doi.org/10.1109/icip.2013.6738143openalex-snapshot

Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks

inferredcites →https://doi.org/10.1109/icpr.2006.1037openalex-snapshot

Segmentation of the Left Ventricle from Cardiac MR Images Based on Degenerated Minimal Surface Diffusion and Shape Priors

inferredcites →https://doi.org/10.1109/tbme.2014.2299433openalex-snapshot

Direct Estimation of Cardiac Biventricular Volumes With an Adapted Bayesian Formulation

inferredcites →https://doi.org/10.1109/tbme.2017.2762762openalex-snapshot

Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images

inferredcites →https://doi.org/10.1109/tmi.2017.2709251openalex-snapshot

Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning

inferredcites →https://doi.org/10.1117/12.534073openalex-snapshot

Model-based segmentation of cardiac MRI cine sequences: a Bayesian formulation

inferredcites →https://doi.org/10.1186/s12968-015-0170-9openalex-snapshot

Quantification of LV function and mass by cardiovascular magnetic resonance: multi-center variability and consensus contours

inferredcites →https://doi.org/10.1186/s12968-018-0471-xopenalex-snapshot

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot

Adam: A Method for Stochastic Optimization

inferredcites →https://doi.org/10.48550/arxiv.1603.04467openalex-snapshot

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

inferredcites →https://doi.org/10.48550/arxiv.1604.00494openalex-snapshot

A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Peer Review #1 of "Segmentation of biventricle in cardiac cine MRI via nested capsule dense network (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1146v0.1/reviews/2openalex-snapshot

Peer Review #2 of "Segmentation of biventricle in cardiac cine MRI via nested capsule dense network (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1146v0.1/reviews/3openalex-snapshot

Peer Review #3 of "Segmentation of biventricle in cardiac cine MRI via nested capsule dense network (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1146v0.2/reviews/1openalex-snapshot

Peer Review #1 of "Segmentation of biventricle in cardiac cine MRI via nested capsule dense network (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1146v0.2/reviews/3openalex-snapshot

Peer Review #3 of "Segmentation of biventricle in cardiac cine MRI via nested capsule dense network (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1146v0.3/reviews/2openalex-snapshot

Peer Review #2 of "Segmentation of biventricle in cardiac cine MRI via nested capsule dense network (v0.3)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1146v0.3/reviews/3openalex-snapshot

Peer Review #3 of "Segmentation of biventricle in cardiac cine MRI via nested capsule dense network (v0.3)"

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