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Your search keyword '"Hsieh, Yu-Cheng"' showing total 14 results
Start Over Author "Hsieh, Yu-Cheng" Publisher wiley
14 results on '"Hsieh, Yu-Cheng"'

1. Lower Contact Force Predicts Right Pulmonary Vein Carina Breakthrough after Ablation Index‐guided Pulmonary Vein Isolation Using High‐Power Short‐duration

Author

Chen, Wei‐Tso, primary, Chung, Fa‐Po, additional, Lin, Yenn‐Jiang, additional, Chang, Shih‐Lin, additional, Lo, Li‐Wei, additional, Hu, Yu‐Feng, additional, Tuan, Ta‐Chuan, additional, Chao, Tze‐Fan, additional, Liao, Jo‐Nan, additional, Lin, Chin‐Yu, additional, Chang, Ting‐Yung, additional, Kuo, Ling, additional, Wu, Cheng‐I, additional, Liu, Chih‐Min, additional, Liu, Shin‐Huei, additional, Hsieh, Yu‐Cheng, additional, Li, Cheng‐Hung, additional, and Chen, Shih‐Ann, additional

Published
2023
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3. The mortality analysis of primary prevention patients receiving a cardiac resynchronization defibrillator (CRT‐D) or implantable cardioverter‐defibrillator (ICD) according to guideline indications in the improve SCA study

Author

Ching, Chi Keong, primary, Hsieh, Yu‐Cheng, additional, Liu, Yen‐Bing, additional, Rodriguez, Diego A., additional, Kim, Young‐Hoon, additional, Joung, Boyoung, additional, Singh, Balbir, additional, Huang, Dejia, additional, Hussin, Azlan, additional, Chasnoits, Alexandr R., additional, O'Brien, Janet E., additional, Cerkvenik, Jeffrey, additional, Lexcen, Daniel, additional, Van Dorn, Brian, additional, and Zhang, Shu, additional

Published
2021
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4. Optimal substrate modification strategies using catheter ablation in patients with persistent atrial fibrillation: 3‐year follow‐up outcomes

Author

Hsieh, Yu‐Cheng, primary, Lin, Yenn‐Jiang, additional, Lo, Men‐Tzung, additional, Chen, Yun‐Yu, additional, Lin, Chin‐Yu, additional, Lin, Chen, additional, Chung, Fa‐Po, additional, Lo, Li‐Wei, additional, Chang, Shih‐Lin, additional, Chao, Tze‐Fan, additional, Hu, Yu‐Feng, additional, Tuan, Ta‐Chuan, additional, Liao, Jo‐Nan, additional, Wu, Cheng‐I, additional, Liu, Chih‐Min, additional, Vicera, Jennifer‐Jeanne B., additional, Chen, Chun‐Chao, additional, Chin, Chye‐Gen, additional, Lugtu, Isaiah C., additional, and Chen, Shih‐Ann, additional

Published
2021
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7. Hypoglycaemic episodes increase the risk of ventricular arrhythmia and sudden cardiac arrest in patients with type 2 diabetes—A nationwide cohort study

Author

Hsieh, Yu‐Cheng, primary, Liao, Ying‐Chieh, additional, Li, Cheng‐Hung, additional, Lin, Jiunn‐Cherng, additional, Weng, Chi‐Jen, additional, Lin, Che‐Chen, additional, Lo, Chu‐Pin, additional, Huang, Kuo‐Ching, additional, Huang, Jin‐Long, additional, Lin, Ching‐Heng, additional, Wang, Jun‐Sing, additional, Wu, Tsu‐Juey, additional, and Sheu, Wayne H.‐H., additional

Published
2019
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9. The Use of Signal Analyses of Ventricular Tachycardia Electrograms to Predict the Response of Antitachycardia Pacing in Patients with Implantable Cardioverter-Defibrillators

Author

TUAN, TA-CHUAN, primary, LO, MEN-TZUNG, additional, LIN, YENN-JIANG, additional, HSIEH, WAN-HSIN, additional, LIN, CHEN, additional, HUANG, NORDEN E., additional, LO, LI-WEI, additional, CHAO, TZE-FAN, additional, LIAO, JO-NAN, additional, HSIEH, YU-CHENG, additional, WU, TSU-JUEY, additional, and CHEN, SHIH-ANN, additional

Published
2014
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10. Apamin-Sensitive Calcium-Activated Potassium Currents in Rabbit Ventricles with Chronic Myocardial Infarction

Author

LEE, YOUNG SOO, primary, CHANG, PO-CHENG, additional, HSUEH, CHIA-HSIANG, additional, MARUYAMA, MITSUNORI, additional, PARK, HYUNG WOOK, additional, RHEE, KYOUNG-SUK, additional, HSIEH, YU-CHENG, additional, SHEN, CHANGYU, additional, WEISS, JAMES N., additional, CHEN, ZHENHUI, additional, LIN, SHIEN-FONG, additional, and CHEN, PENG-SHENG, additional

Published
2013
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14. A Deep Learning Approach to Classify Fabry Cardiomyopathy from Hypertrophic Cardiomyopathy Using Cine Imaging on Cardiac Magnetic Resonance.

Author

Chen WW, Kuo L, Lin YX, Yu WC, Tseng CC, Lin YJ, Huang CC, Chang SL, Wu JC, Chen CK, Weng CY, Chan S, Lin WW, Hsieh YC, Lin MC, Fu YC, Chen T, Chen SA, and Lu HH

Abstract

A challenge in accurately identifying and classifying left ventricular hypertrophy (LVH) is distinguishing it from hypertrophic cardiomyopathy (HCM) and Fabry disease. The reliance on imaging techniques often requires the expertise of multiple specialists, including cardiologists, radiologists, and geneticists. This variability in the interpretation and classification of LVH leads to inconsistent diagnoses. LVH, HCM, and Fabry cardiomyopathy can be differentiated using T1 mapping on cardiac magnetic resonance imaging (MRI). However, differentiation between HCM and Fabry cardiomyopathy using echocardiography or MRI cine images is challenging for cardiologists. Our proposed system named the MRI short-axis view left ventricular hypertrophy classifier (MSLVHC) is a high-accuracy standardized imaging classification model developed using AI and trained on MRI short-axis (SAX) view cine images to distinguish between HCM and Fabry disease. The model achieved impressive performance, with an F 1-score of 0.846, an accuracy of 0.909, and an AUC of 0.914 when tested on the Taipei Veterans General Hospital (TVGH) dataset. Additionally, a single-blinding study and external testing using data from the Taichung Veterans General Hospital (TCVGH) demonstrated the reliability and effectiveness of the model, achieving an F 1-score of 0.727, an accuracy of 0.806, and an AUC of 0.918, demonstrating the model's reliability and usefulness. This AI model holds promise as a valuable tool for assisting specialists in diagnosing LVH diseases., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2024 Wei-Wen Chen et al.)

Published
2024
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