Author of the publication

Segmentation Challenge on the Quantification of Left Atrial Wall Thickness.

, , , , , , , , and . STACOM@MICCAI, volume 10124 of Lecture Notes in Computer Science, page 193-200. Springer, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Segmentation Challenge on the Quantification of Left Atrial Wall Thickness., , , , , , , , and . STACOM@MICCAI, volume 10124 of Lecture Notes in Computer Science, page 193-200. Springer, (2016)High-resolution 3D Maps of Left Atrial Displacements using an Unsupervised Image Registration Neural Network., , and . CoRR, (2023)Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium., , , , , , and . PLoS Comput. Biol., (2020)Prototype of a Cardiac MRI Simulator for the Training of Supervised Neural Networks., and . FIMH, volume 13958 of Lecture Notes in Computer Science, page 366-374. Springer, (2023)Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps., , , , , , , , , and . FIMH, volume 13958 of Lecture Notes in Computer Science, page 648-657. Springer, (2023)A Semi-Automatic Method To Segment The Left Atrium in MR Volumes With Varying Slice Numbers., , and . EMBC, page 1198-1202. IEEE, (2020)Image-Based Computational Evaluation of the Competing Effect of Atrial Wall Thickness and Fibrosis on Re-entrant Drivers for Atrial Arrhythmias., , and . CinC, www.cinc.org, (2017)LA-Net: A Multi-Task Deep Network for the Segmentation of the Left Atrium., , , , , and . IEEE Trans. Medical Imaging, 41 (2): 456-464 (2022)Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge., , , , , , , , , and 23 other author(s). Medical Image Anal., (2022)Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge., , , , , , , , , and 23 other author(s). CoRR, (2021)