Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Maryam Toloubidokhti"'
Autor:
Xiajun Jiang, Maryam Toloubidokhti, Jake Bergquist, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
Publikováno v:
IEEE transactions on medical imaging.
Deep neural networks have shown promise in image reconstruction tasks, although often on the premise of large amounts of training data. In this paper, we present a new approach to exploit the geometry and physics underlying electrocardiographic imagi
Autor:
Maryam Toloubidokhti, Jaideep Vitthal Murkute, B. Milan Horacek, Prashnna Kumar Gyawali, John L. Sapp, Linwei Wang, Xiajun Jiang
Publikováno v:
IEEE Trans Biomed Eng
Objective: This work investigates the possibility of disentangled representation learning of inter-subject anatomical variations within electrocardiographic (ECG) data. Methods: Since ground truth anatomical factors are generally not known in clinica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ab9d820b776c837e258a1d025d960c3
https://europepmc.org/articles/PMC8858595/
https://europepmc.org/articles/PMC8858595/
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783031210136
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5ae279a6c5ef069c148fa22ae8e9387
https://doi.org/10.1007/978-3-031-21014-3_35
https://doi.org/10.1007/978-3-031-21014-3_35
Autor:
Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164514
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d933ff80a13b5956e9f871e58d294c7b
https://doi.org/10.1007/978-3-031-16452-1_44
https://doi.org/10.1007/978-3-031-16452-1_44
Autor:
Maryam Toloubidokhti, Omar A. Gharbia, Susumu Tao, Henry Halperin, Natalia Trayanova, Linwei Wang
Publikováno v:
Journal of Electrocardiology. 73:25-26
Autor:
Jake A. Bergquist, Dana H. Brooks, Rob S. MacLeod, Linwei Wang, Brian Zenger, Omar A. Gharbia, Wilson W. Good, Xiajun Jiang, Maryam Toloubidokhti, Jaume Coll Font, Prashnna Kumar Gyawali
Publikováno v:
Functional Imaging and Modeling of the Heart ISBN: 9783030787097
FIMH
FIMH
Accuracy of estimating the heart’s electrical activity with Electrocardiographic Imaging (ECGI) is challenging due to using an error-prone physics-based model (forward model). While getting better results than the traditional numerical methods foll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db7fd6eccc69424d8529d41013f8d769
https://doi.org/10.1007/978-3-030-78710-3_45
https://doi.org/10.1007/978-3-030-78710-3_45
Autor:
Xiajun Jiang, John L. Sapp, Maryam Toloubidokhti, Omar A. Gharbia, Linwei Wang, Zhiyuan Li, Ryan Missel
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872304
MICCAI (6)
MICCAI (6)
Traditional approaches to image reconstruction uses physics-based loss with data-efficient inference, although the difficulty to properly model the inverse solution precludes learning the reconstruction across a distribution of data. Modern deep lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca9d801969ec5cd6645102bbbb8b9066
https://doi.org/10.1007/978-3-030-87231-1_35
https://doi.org/10.1007/978-3-030-87231-1_35
Autor:
Gharbia, Omar Ahmed, Adityo Prakosa, Maryam Toloubidokhti, Trayanova, Natalia A., Sapp, John L., Wang, Linwei
Publikováno v:
In Heart Rhythm August 2021 18(8) Supplement:S238-S238