GridNet with automatic shape prior registration for automatic MRI cardiac segmentation
In this paper, we propose a fully automatic MRI cardiac segmentation method based on a
novel deep convolutional neural network (CNN) designed for the 2017 ACDC MICCAI …
novel deep convolutional neural network (CNN) designed for the 2017 ACDC MICCAI …
2D-3D fully convolutional neural networks for cardiac MR segmentation
In this paper, we develop a 2D and 3D segmentation pipelines for fully automated cardiac
MR image segmentation using Deep Convolutional Neural Networks (CNN). Our models are …
MR image segmentation using Deep Convolutional Neural Networks (CNN). Our models are …
Convolutional neural network with shape prior applied to cardiac MRI segmentation
In this paper, we present a novel convolutional neural network architecture to segment
images from a series of short-axis cardiac magnetic resonance slices (CMRI). The proposed …
images from a series of short-axis cardiac magnetic resonance slices (CMRI). The proposed …
A distance map regularized CNN for cardiac cine MR image segmentation
Purpose Cardiac image segmentation is a critical process for generating personalized
models of the heart and for quantifying cardiac performance parameters. Fully automatic …
models of the heart and for quantifying cardiac performance parameters. Fully automatic …
Automatic segmentation of LV and RV in cardiac MRI
Automatic and accurate segmentation of Left Ventricle (LV) and Right Ventricle (RV) in cine-
MRI is required to analyze cardiac function and viability. We present a fully convolutional …
MRI is required to analyze cardiac function and viability. We present a fully convolutional …
An exploration of 2D and 3D deep learning techniques for cardiac MR image segmentation
Accurate segmentation of the heart is an important step towards evaluating cardiac function.
In this paper, we present a fully automated framework for segmentation of the left (LV) and …
In this paper, we present a fully automated framework for segmentation of the left (LV) and …
Cardiac MRI segmentation with a dilated CNN incorporating domain-specific constraints
G Simantiris, G Tziritas - IEEE Journal of Selected Topics in …, 2020 - ieeexplore.ieee.org
Semantic segmentation of cardiac MR images is a challenging task due to its importance in
medical assessment of heart diseases. Having a detailed localization of specific regions of …
medical assessment of heart diseases. Having a detailed localization of specific regions of …
A generalizable deep-learning approach for cardiac magnetic resonance image segmentation using image augmentation and attention U-Net
F Kong, SC Shadden - Statistical Atlases and Computational Models of the …, 2021 - Springer
Cardiac cine magnetic resonance imaging (CMRI) is the reference standard for assessing
cardiac structure as well as function. However, CMRI data presents large variations among …
cardiac structure as well as function. However, CMRI data presents large variations among …
Class-balanced deep neural network for automatic ventricular structure segmentation
Segmenting ventricular structures from cardiovascular MR scan is important for quantitative
evaluation of heart. Manual delineation is time-consuming and tedious and lack of …
evaluation of heart. Manual delineation is time-consuming and tedious and lack of …
A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images
Cardiac MRI has been widely used for noninvasive assessment of cardiac anatomy and
function as well as heart diagnosis. The estimation of physiological heart parameters for …
function as well as heart diagnosis. The estimation of physiological heart parameters for …