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Nobuyuki Kagiyama

Showing results (1-10 of 210) with videos related to

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JACC. Cardiovascular Imaging|September 7, 2023
Translating Complex Machine-Learning Phenogrouping Into Simple Algorithm: Atrium, Ventricle, and Fibrosis in Mitral Valve ProlapseNobuyuki Kagiyama
JACC. Cardiovascular Imaging|September 13, 2024
Treatment Strategy of Atrial Functional Mitral Regurgitation: Consideration of the Mechanistic SubtypesNobuyuki Kagiyama
Journal of Medical Ultrasonics (2001)|August 26, 2019
Echocardiographic assessment of mitral regurgitationNobuyuki Kagiyama, Sirish Shrestha
JACC. Cardiovascular Imaging|October 12, 2019
The Authors ReplyNobuyuki Kagiyama, John Gorcsan
Anatolian Journal of Cardiology|August 9, 2018
The time-to-treatment concept in acute heart failure: Lessons and implications from REALITY-AHFNobuyuki Kagiyama, Yuya Matsue
Heart Rhythm|June 6, 2018
Can global longitudinal strain predict response to cardiac resynchronization therapy?John Gorcsan, Nobuyuki Kagiyama
Journal of Cardiology|December 5, 2024
Author's replyNobuyuki Kagiyama, Takatoshi Kasai, Hiroyuki Daida
JACC. Cardiovascular Imaging|March 11, 2022
Defining "Better Prediction" by Machine-Learning Models Toward Clinical ApplicationRikuta Hamaya, Yuki Sahashi, Nobuyuki Kagiyama
JACC. Case Reports|April 18, 2025
The Rarest of the Rare: Imaging Features of Uncommon Cardiac TumorsAkira Sakamoto, Tomohiro Kaneko, Nobuyuki Kagiyama
Heart Failure Clinics|March 28, 2022
Machine Learning in Cardiovascular ImagingNobuyuki Kagiyama, Márton Tokodi, Partho P Sengupta
Pageof 21

Showing results (1-10 of 210) with videos related to

Sort By:
Pageof 21
JACC. Cardiovascular Imaging|September 7, 2023
Translating Complex Machine-Learning Phenogrouping Into Simple Algorithm: Atrium, Ventricle, and Fibrosis in Mitral Valve ProlapseNobuyuki Kagiyama
JACC. Cardiovascular Imaging|September 13, 2024
Treatment Strategy of Atrial Functional Mitral Regurgitation: Consideration of the Mechanistic SubtypesNobuyuki Kagiyama
Journal of Medical Ultrasonics (2001)|August 26, 2019
Echocardiographic assessment of mitral regurgitationNobuyuki Kagiyama, Sirish Shrestha
JACC. Cardiovascular Imaging|October 12, 2019
The Authors ReplyNobuyuki Kagiyama, John Gorcsan
Anatolian Journal of Cardiology|August 9, 2018
The time-to-treatment concept in acute heart failure: Lessons and implications from REALITY-AHFNobuyuki Kagiyama, Yuya Matsue
Heart Rhythm|June 6, 2018
Can global longitudinal strain predict response to cardiac resynchronization therapy?John Gorcsan, Nobuyuki Kagiyama
Journal of Cardiology|December 5, 2024
Author's replyNobuyuki Kagiyama, Takatoshi Kasai, Hiroyuki Daida
JACC. Cardiovascular Imaging|March 11, 2022
Defining "Better Prediction" by Machine-Learning Models Toward Clinical ApplicationRikuta Hamaya, Yuki Sahashi, Nobuyuki Kagiyama
JACC. Case Reports|April 18, 2025
The Rarest of the Rare: Imaging Features of Uncommon Cardiac TumorsAkira Sakamoto, Tomohiro Kaneko, Nobuyuki Kagiyama
Heart Failure Clinics|March 28, 2022
Machine Learning in Cardiovascular ImagingNobuyuki Kagiyama, Márton Tokodi, Partho P Sengupta
Pageof 21