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Disambiguation of "Marrouche, Nassir"

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Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation.

, , , , , , , , and . CinC, page 1-4. www.cinc.org, (2018)

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Other publications of authors with the same name

Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation., , , , , , , , and . CinC, page 1-4. www.cinc.org, (2018)Subject specific, image based analysis and modeling in patients with atrial fibrillation from MRI., , , , , , , and . ISBI, page 1364. IEEE, (2012)Interactive Exploration of Left Atrium Population-Level Morphology in Atrial Fibrillation Patients., , , , , , and . CinC, page 1-3. www.cinc.org, (2018)On the Evaluation and Validation of Off-the-Shelf Statistical Shape Modeling Tools: A Clinical Application., , , , , , and . ShapeMI@@MICCAI, volume 11167 of Lecture Notes in Computer Science, page 14-27. Springer, (2018)Controlled Activation for Interrogation of the Electrophysiological Substrate., , , , and . CinC, page 189-192. www.cinc.org, (2014)Benchmarking off-the-shelf statistical shape modeling tools in clinical applications., , , , , , , , , and 2 other author(s). Medical Image Anal., (2022)Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation., , , , , and . CoRR, (2019)A Practical Algorithm for Improving Localization and Quantification of Left Ventricular Scar., , , , , , , , , and 2 other author(s). CinC, page 105-108. www.cinc.org, (2014)Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation., , , , , and . STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 357-367. Springer, (2018)Towards Automated Quantification of Atrial Fibrosis in Images from Catheterized Fiber-Optics Confocal Microscopy Using Convolutional Neural Networks., , , , , , , , and . FIMH, volume 11504 of Lecture Notes in Computer Science, page 168-176. Springer, (2019)