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CinC 2024 Preliminary Program : Abstracts & Preprints

(10/09/2024 08:37:06)

Oral sessions : Session Sxxx & Poster sessions : Session Pxxx

By day : | Monday | Tuesday | Wednesday |

Monday, September 9, 2024
08:30 - 09:00    Monday Welcome to CinC 2024 Chair: Rob Macleod Co-Chair: Axel Loewe	PDF Abstract	PDF Preprint
09:00 - 10:30    Monday Session RDYIA - Rosanna Degani Young Investigator Finals Chair: Marianna Meo Co-Chair: Rob Macleod
09:00 - 09:20    Session RDYIA, ID 340 - Model-based Analysis of Pulse Transit Time Characteristics During Obstructive Apnea Arthur Ben-Tolila1, Virginie Le Rolle2, Jean-Louis D PEPIN3, Alfredo Hernandez4 1University of Rennes 1, LTSI, 2LTSI - INSERM U1099 - Université de Rennes 1, 3Grenoble Alpes University, 4INSERM - LTSI U 1099
09:20 - 09:40    Session RDYIA, ID 308 - Insights from Explainable Machine Learning on Biatrial Arrhythmia Vulnerability Assessment Patricia Martinez Diaz1, Pascal Maierhofer2, Michael Beigl3, Axel Loewe3, Olaf Doessel4 1Karlsruhe Insitute of Technology, 2KIT, 3Karlsruhe Institute of Technology (KIT), 4Institute of Biomedical Engineering, Karlsruhe Institute of Technology
09:40 - 10:00    Session RDYIA, ID 205 - Maximum Shortening Velocity and Power Are Reduced in a Human Cross-bridge Model of Type 2 Diabetes Julia H Musgrave1, June-Chiew Han2, Marie-Louise Ward1, Andrew Taberner1, Kenneth Tran1 1University of Auckland, 2Auckland Bioengineering Institute
10:00 - 10:20    Session RDYIA, ID 286 - A Machine Learning Approach to Automated Localization of Targets for Ventricular Tachycardia Ablation Using Sinus Rhythm Signal Features Xuezhe Wang1, Adam Dennis2, Tarv Dhanjal3, Pier Lambiase2, Michele Orini4 1University College London, 2UCL, 3University Hospital Coventry & Warwickshire, 4University College London, Institute of Cardiovascular Science
10:30 - 11:00    Monday Coffee break
11:00 - 12:30    Monday Session S21 - 4a. ECG Analysis Technology Chair: Johannes de Bie Co-Chair: Jake Bergquist
11:00 - 11:15    Session S21, ID 357 - A Transfer Learning Model -Based Patient-Specific ECG Lead Synthesis Algorithm Joel Xue Alivecor Inc
11:15 - 11:30    Session S21, ID 27 - ECG Generation Based on Denoising Diffusion Probabilistic Models Zhongyu Wang1, Caiyun Ma2, Minghui Zhao3, Shuo Zhang3, Jianqing Li3, Chengyu Liu3 1the State Key Laboratory of Digital Medical Engineering, School of Instrument Science and Engineering, Southeast University, 2the State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, 3southeast university
11:30 - 11:45    Session S21, ID 444 - ECG Classification with Deep Unfolding Variable Projection Network Gergo Bognar1 and Peter Kovacs2 1ELTE Eotvos Lorand University, 2Eötvös Loránd University
11:45 - 12:00    Session S21, ID 96 - Transferability and Adversarial Training in Automatic Classification of the Electrocardiogram with Deep Learning Arvid Eriksson1, Thomas B. Schön2, Antonio H. Ribeiro3 1KTH Royal Institute of Technology, 2Uppsala University, 3KTH
12:00 - 12:15    Session S21, ID 163 - Multi-label Classification of Electrocardiogram Based on Label Distribution Yuwen Li1, Ben Wang2, Chengyu Liu1, Zhimin Zhang3 1Southeast University, 2Nanjing Marine Radar Institute, China Shipbuilding Industry Corporation, 3China Pharmaceutical University
12:15 - 12:30    Session S21, ID 223 - A Survey of Augmentation Techniques for Enhancing ECG Representation through Self-Supervised Contrastive Learning Deekshith Reddy Dade1, Jake Bergquist2, Rob MacLeod2, Ravi Ranjan2, Benjamin A Steinberg2, Tolga Tasdizen2 1Univeristy of Utah, 2University of Utah
11:00 - 12:30    Monday Session S22 - 5. Whole heart modeling Chair: Blanca Rodriguez Co-Chair: Gernot Plank