Author of the publication

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)

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

Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation., , , , , , , , and . CinC, page 1-4. www.cinc.org, (2018)Does Alignment in Statistical Shape Modeling of Left Atrium Appendage Impact Stroke Prediction?, , , , , , , and . CinC, page 1-4. IEEE, (2019)Subject specific, image based analysis and modeling in patients with atrial fibrillation from MRI., , , , , , , and . ISBI, page 1364. IEEE, (2012)An Image-based Approach for 3D Left Atrium Functional Measurements., , , , and . CinC, page 1-4. IEEE, (2020)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)Benchmarking off-the-shelf statistical shape modeling tools in clinical applications., , , , , , , , , and 2 other author(s). Medical Image Anal., (2022)Controlled Activation for Interrogation of the Electrophysiological Substrate., , , , and . CinC, page 189-192. www.cinc.org, (2014)Interatrial Septum and Appendage Ostium in Atrial Fibrillation Patients: A Population Study., , , , , , , , , and . CinC, page 1-3. IEEE, (2019)Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation., , , , , and . CoRR, (2019)