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Jun Motogi

Showing results (1-10 of 13) with videos related to

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Neuroscience Letters|April 16, 2014
Cortical responses to C-fiber stimulation by intra-epidermal electrical stimulation: an MEG studyJun Motogi, Minori Kodaira, Yoshihiro Muragaki, et al.
Physics in Medicine and Biology|May 26, 2016
Why intra-epidermal electrical stimulation achieves stimulation of small fibres selectively: a simulation studyJun Motogi, Yukiya Sugiyama, Ilkka Laakso, et al.
International Journal of Cardiology. Heart & Vasculature|January 19, 2023
Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiogramsNaomi Hirota, Shinya Suzuki, Jun Motogi, et al.
International Journal of Cardiology. Heart & Vasculature|January 21, 2022
Identifying patients with atrial fibrillation during sinus rhythm on ECG: Significance of the labeling in the artificial intelligence algorithmShinya Suzuki, Jun Motogi, Hiroshi Nakai, et al.
Circulation Journal : Official Journal of the Japanese Circulation Society|April 26, 2026
Prediction of Atrial Fibrillation Using Artificial Intelligence-Enhanced Electrocardiography　- Does Left Atrial Size Matter?Naomi Hirota, Shinya Suzuki, Jun Motogi, et al.
Annals of Noninvasive Electrocardiology : the Official Journal of the International Society for Holter and Noninvasive Electrocardiology, Inc|February 9, 2026
Artificial Intelligence-Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and DevicesShinya Suzuki, Mari Amino, Nobumoto Moriai, et al.
International Journal of Cardiology|May 21, 2026
Relationship between the diagnostic probability of chronic kidney disease calculated using artificial intelligence-enhanced electrocardiography and the incidence of cardiovascular eventsMotohiro Arai, Shinya Suzuki, Naomi Hirota, et al.
Journal of Cardiology|May 30, 2025
Performance of convolutional neural network-enhanced electrocardiography in detecting acute coronary syndrome: focusing on subtypes and reduced leadsKoichiro Hori, Shinya Suzuki, Naomi Hirota, et al.
Heart and Vessels|March 30, 2024
Evaluating convolutional neural network-enhanced electrocardiography for hypertrophic cardiomyopathy detection in a specialized cardiovascular settingNaomi Hirota, Shinya Suzuki, Jun Motogi, et al.
International Journal of Cardiology. Heart & Vasculature|March 29, 2024
Identifying patients with acute aortic dissection using an electrocardiogram with convolutional neural networkTakuto Arita, Shinya Suzuki, Jun Motogi, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Neuroscience Letters|April 16, 2014
Cortical responses to C-fiber stimulation by intra-epidermal electrical stimulation: an MEG studyJun Motogi, Minori Kodaira, Yoshihiro Muragaki, et al.
Physics in Medicine and Biology|May 26, 2016
Why intra-epidermal electrical stimulation achieves stimulation of small fibres selectively: a simulation studyJun Motogi, Yukiya Sugiyama, Ilkka Laakso, et al.
International Journal of Cardiology. Heart & Vasculature|January 19, 2023
Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiogramsNaomi Hirota, Shinya Suzuki, Jun Motogi, et al.
International Journal of Cardiology. Heart & Vasculature|January 21, 2022
Identifying patients with atrial fibrillation during sinus rhythm on ECG: Significance of the labeling in the artificial intelligence algorithmShinya Suzuki, Jun Motogi, Hiroshi Nakai, et al.
Circulation Journal : Official Journal of the Japanese Circulation Society|April 26, 2026
Prediction of Atrial Fibrillation Using Artificial Intelligence-Enhanced Electrocardiography　- Does Left Atrial Size Matter?Naomi Hirota, Shinya Suzuki, Jun Motogi, et al.
Annals of Noninvasive Electrocardiology : the Official Journal of the International Society for Holter and Noninvasive Electrocardiology, Inc|February 9, 2026
Artificial Intelligence-Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and DevicesShinya Suzuki, Mari Amino, Nobumoto Moriai, et al.
International Journal of Cardiology|May 21, 2026
Relationship between the diagnostic probability of chronic kidney disease calculated using artificial intelligence-enhanced electrocardiography and the incidence of cardiovascular eventsMotohiro Arai, Shinya Suzuki, Naomi Hirota, et al.
Journal of Cardiology|May 30, 2025
Performance of convolutional neural network-enhanced electrocardiography in detecting acute coronary syndrome: focusing on subtypes and reduced leadsKoichiro Hori, Shinya Suzuki, Naomi Hirota, et al.
Heart and Vessels|March 30, 2024
Evaluating convolutional neural network-enhanced electrocardiography for hypertrophic cardiomyopathy detection in a specialized cardiovascular settingNaomi Hirota, Shinya Suzuki, Jun Motogi, et al.
International Journal of Cardiology. Heart & Vasculature|March 29, 2024
Identifying patients with acute aortic dissection using an electrocardiogram with convolutional neural networkTakuto Arita, Shinya Suzuki, Jun Motogi, et al.
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