Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Omar A Gharbia"'
Autor:
Annie M. Hirahara, Muhammad S. Khan, Omar A. Gharbia, Matthias Lange, Yuki Ishidoya, Douglas Smego, Ravi Ranjan, Gregory J. Stoddard, Craig H. Selzman, Derek J. Dosdall
Publikováno v:
Journal of Cardiovascular Electrophysiology. 34:1249-1256
Autor:
Emmanuel Offei, Yuki Ishidoya, Douglas Smego, Sofia R. Castillo, Omar A. Gharbia, Annie Hirahara, Muhammad S. Khan, Matthias Lange, Ravi Ranjan, Derek J. Dosdall
Publikováno v:
Heart Rhythm. 20:S721-S722
Autor:
Emmanuel Offei, Muhammad S. Khan, Yuki Ishidoya, Douglas Smego, Sofia R. Castillo, Omar A. Gharbia, Annie Hirahara, Matthias Lange, Ravi Ranjan, Derek J. Dosdall
Publikováno v:
Heart Rhythm. 20:S499-S500
Autor:
Omar A. Gharbia, Robert Hitchcok, Yuki Ishidoya, Emmanuel Offei, Sofia Castillo, Muhammad S. Khan, Anand Athavale, Ravi Ranjan, Derek J. Dosdall
Publikováno v:
Heart Rhythm. 20:S727
Autor:
Muhammad S. Khan, Douglas Smego, Yuki Ishidoya, Emmanuel Offei, Sofia Ruizcastillo, Annie Hirahara, Omar A. Gharbia, Palatinus Palatinus, Lauren Krueger, TingTiing Hong, Guillaume Hoareau, Ravi Ranjan, Craig Selzman, Derek J. Dosdall, Robin M. Shaw
Publikováno v:
Heart Rhythm. 20:S42
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
Publikováno v:
CinC
A common setting for scar-related ventricular tachycardia is a reentry circuit formed by narrow channels of surviving tissue inside the myocardial scar. It is challenging to identify the critical components of these circuits using invasive catheter m
Publikováno v:
Journal of Electrocardiology. 49:887-893
Background The majority of life-threatening ventricular tachycardias (VTs) are sustained by heterogeneous scar substrates with narrow strands of surviving tissue. An effective treatment for scar-related VT is to modify the underlying scar substrate b