Heterogeneous virtual population of simulated CMR images for improving the generalization of cardiac segmentation algorithms
Simulating a large set of medical images with variability in anatomical representation and
image appearance has the potential to provide solutions for addressing the scarcity of …
image appearance has the potential to provide solutions for addressing the scarcity of …
[HTML][HTML] Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass …
M Penso, M Babbaro, S Moccia, M Guglielmo… - Journal of …, 2022 - Elsevier
Background Segmentation of cardiovascular magnetic resonance (CMR) images is an
essential step for evaluating dimensional and functional ventricular parameters as ejection …
essential step for evaluating dimensional and functional ventricular parameters as ejection …
Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach
B Wu, Y Fang, X Lai - Computerized Medical Imaging and Graphics, 2020 - Elsevier
Cardiovascular diseases can be effectively prevented from worsening through early
diagnosis. To this end, various methods have been proposed to detect the disease source …
diagnosis. To this end, various methods have been proposed to detect the disease source …
Left ventricle segmentation in cardiac MRI images using fully convolutional neural networks
According to the World Health Organization, cardiovascular diseases are the leading cause
of death worldwide, accounting for 17.3 million deaths per year, a number that is expected to …
of death worldwide, accounting for 17.3 million deaths per year, a number that is expected to …
Automatic quality control of cardiac MRI segmentation in large-scale population imaging
The trend towards large-scale studies including population imaging poses new challenges
in terms of quality control (QC). This is a particular issue when automatic processing tools …
in terms of quality control (QC). This is a particular issue when automatic processing tools …
Late fusion U-Net with GAN-based augmentation for generalizable cardiac MRI segmentation
Y Al Khalil, S Amirrajab, J Pluim… - International Workshop on …, 2021 - Springer
Accurate segmentation of the right ventricle (RV) in cardiac magnetic resonance (CMR)
images is crucial for ventricular structure and function assessment. However, due to its …
images is crucial for ventricular structure and function assessment. However, due to its …
Anatomy prior based u-net for pathology segmentation with attention
Pathological area segmentation in cardiac magnetic resonance (MR) images plays a vital
role in the clinical diagnosis of cardiovascular diseases. Because of the irregular shape and …
role in the clinical diagnosis of cardiovascular diseases. Because of the irregular shape and …
Real-time prediction of segmentation quality
Recent advances in deep learning based image segmentation methods have enabled real-
time performance with human-level accuracy. However, occasionally even the best method …
time performance with human-level accuracy. However, occasionally even the best method …
Multimodal cardiac segmentation using disentangled representation learning
Magnetic Resonance (MR) protocols use several sequences to evaluate pathology and
organ status. Yet, despite recent advances, the analysis of each sequence's images …
organ status. Yet, despite recent advances, the analysis of each sequence's images …
A fully convolutional neural network for cardiac segmentation in short-axis MRI
PV Tran - arXiv preprint arXiv:1604.00494, 2016 - arxiv.org
Automated cardiac segmentation from magnetic resonance imaging datasets is an essential
step in the timely diagnosis and management of cardiac pathologies. We propose to tackle …
step in the timely diagnosis and management of cardiac pathologies. We propose to tackle …