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Automated MRI-Based Biventricular Segmentation Using3D Narrow-Band Statistical Level-Sets.

, , , , , , and . CinC, page 627-630. www.cinc.org, (2013)

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Development of New Left Atrial Anatomical Models for the Study of the Left Atrial Appendage Implications in Atrial Fibrillation., , , , and . CinC, page 1-4. www.cinc.org, (2018)Left Atrium Hemodynamic in Atrial Fibrillation and Normal Subjects., , , , , and . CinC, page 1-4. IEEE, (2021)Automated MRI-Based Biventricular Segmentation Using3D Narrow-Band Statistical Level-Sets., , , , , , and . CinC, page 627-630. www.cinc.org, (2013)A Semantic-Wise Convolutional Neural Network Approach for 3-D Left Atrium Segmentation from Late Gadolinium Enhanced Magnetic Resonance Imaging., , , , , and . STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 329-338. Springer, (2018)A Patient-Specific Computational Fluid Dynamics Model of the Left Atrium in Atrial Fibrillation: Development and Initial Evaluation., , , , , , , and . FIMH, volume 10263 of Lecture Notes in Computer Science, page 392-400. Springer, (2017)Development of a Computational Fluid Dynamics Model of the Left Atrium in Atrial Fibrillation on a Patient Specific Basis., , , , , , , and . CinC, www.cinc.org, (2017)Computerized quantification of left ventricular volumes on cardiac magnetic resonance images by level set method., , , , , , , , and . CARS, volume 1268 of International Congress Series, page 1114-1119. Elsevier, (2004)Early Detection of Cardiotoxicity in Chemotherapy-Treated Patients from Real-time 3D Echocardiography., , , , , , , , and . CinC, page 249-252. www.cinc.org, (2013)A Nearly-Automated Approach for Left Ventricular Segmentation using Feature Asymmetry from Real-time 3D Echocardiography., , and . CinC, page 109-112. www.cinc.org, (2015)Performance Comparison of Deep Learning Approaches for Left Atrium Segmentation From LGE-MRI Data., , , , and . CinC, page 1-4. IEEE, (2020)