Browsing School of Electronic Engineering and Computer Science by Author "Haldar, S"
Now showing items 1-5 of 5
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Differentiation of Pre-Ablation and Post-Ablation Late Gadolinium-Enhanced Cardiac MRI Scans of Longstanding Persistent Atrial Fibrillation Patients
Yang, G; Zhuang, X; Khan, H; Haldar, S; Nyktari, E; Li, L; Ye, X; Slabaugh, G; Wong, T; Mohiaddin, R (2017) -
A Fully Automatic Deep Learning Method for Atrial Scarring Segmentation from Late Gadolinium-Enhanced MRI Images
Yang, G; Zhuang, X; Khan, H; Haldar, S; Nyktari, E; Ye, X; Slabaugh, G; Wong, T; Mohiaddin, R; Keegan, J (2017) -
Fully automatic segmentation and objective assessment of atrial scars for long-standing persistent atrial fibrillation patients using late gadolinium-enhanced MRI
Yang, G; Zhuang, X; Khan, H; Haldar, S; Nyktari, E; Li, L; Wage, R; Ye, X; Slabaugh, G; Mohiaddin, R (Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine., 2018-02-26) -
Multi-Atlas Propagation Based Left Atrium Segmentation Coupled with Super-Voxel Based Pulmonary Veins Delineation in Late Gadolinium-Enhanced Cardiac MRI
Yang, G; Zhuang, X; Khan, H; Haldar, S; Nyktari, E; Li, L; Ye, X; Slabaugh, G; Wong, T; Mohiaddin, R (SPIE, 2017)Late Gadolinium-Enhanced Cardiac MRI (LGE CMRI) is a non-invasive technique, which has shown promise in detecting native and post-ablation atrial scarring. To visualize the scarring, a precise segmentation of the left ... -
Segmenting atrial fibrosis from late gadolinium-enhanced cardiac MRI by deep-learned features with stacked sparse auto-encoders
Yang, G; Zhuang, X; Khan, H; Haldar, S; Nyktari, E; Ye, X; Slabaugh, G; Wong, T; Mohiaddin, R; Keegan, J (2017-01-01)The late gadolinium-enhanced (LGE) MRI technique is a well-validated method for fibrosis detection in the myocardium. With this technique, the altered wash-in and wash-out contrast agent kinetics in fibrotic and healthy ...