A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images
A Suinesiaputra, BR Cowan, AO Al-Agamy… - Medical image …, 2014 - Elsevier
A collaborative framework was initiated to establish a community resource of ground truth
segmentations from cardiac MRI. Multi-site, multi-vendor cardiac MRI datasets comprising …
segmentations from cardiac MRI. Multi-site, multi-vendor cardiac MRI datasets comprising …
Left ventricular segmentation challenge from cardiac MRI: a collation study
A Suinesiaputra, BR Cowan, JP Finn… - Statistical Atlases and …, 2012 - Springer
This paper presents collated results from the left ventricular (LV) cardiac MRI segmentation
challenge as part of STACOM'11. Clinical cases from patients with myocardial infarction …
challenge as part of STACOM'11. Clinical cases from patients with myocardial infarction …
An image-based comprehensive approach for automatic segmentation of left ventricle from cardiac short axis cine mr images
S Huang, J Liu, LC Lee, SK Venkatesh, LLS Teo… - Journal of digital …, 2011 - Springer
Segmentation of the left ventricle is important in the assessment of cardiac functional
parameters. Manual segmentation of cardiac cine MR images for acquiring these …
parameters. Manual segmentation of cardiac cine MR images for acquiring these …
Automatic segmentation and disease classification using cardiac cine MR images
Segmentation of the heart in cardiac cine MR is clinically used to quantify cardiac function.
We propose a fully automatic method for segmentation and disease classification using …
We propose a fully automatic method for segmentation and disease classification using …
Automatic initialization and quality control of large-scale cardiac MRI segmentations
Continuous advances in imaging technologies enable ever more comprehensive
phenotyping of human anatomy and physiology. Concomitant reduction of imaging costs …
phenotyping of human anatomy and physiology. Concomitant reduction of imaging costs …
Evaluation framework for algorithms segmenting short axis cardiac MRI.
P Radau, Y Lu, K Connelly, G Paul, AJ Dick… - The MIDAS …, 2009 - cir.nii.ac.jp
抄録< jats: p> The motivation of the segmentation challenge is to quantitatively analyze
global and regional cardiac function from cine magnetic resonance (MR) images, clinical …
global and regional cardiac function from cine magnetic resonance (MR) images, clinical …
Automatic segmentation of the right ventricle from cardiac MRI using a learning‐based approach
MR Avendi, A Kheradvar… - Magnetic resonance in …, 2017 - Wiley Online Library
Purpose This study aims to accurately segment the right ventricle (RV) from cardiac MRI
using a fully automatic learning‐based method. Methods The proposed method uses deep …
using a fully automatic learning‐based method. Methods The proposed method uses deep …
[HTML][HTML] Fully automatic segmentation of right and left ventricle on short-axis cardiac MRI images
Cardiac magnetic resonance imaging (CMR) is a widely used non-invasive imaging
modality for evaluating cardiovascular diseases. CMR is the gold standard method for left …
modality for evaluating cardiovascular diseases. CMR is the gold standard method for left …
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 …
Automatic cardiac ventricle segmentation in MR images: a validation study
D Grosgeorge, C Petitjean, J Caudron, J Fares… - International journal of …, 2011 - Springer
Purpose Segmenting the cardiac ventricles in magnetic resonance (MR) images is required
for cardiac function assessment. Numerous segmentation methods have been developed …
for cardiac function assessment. Numerous segmentation methods have been developed …