We.2.1.3
An Uncertainty-Guided Hybrid Co-Training Framework for Semi-Supervised Atrial Fibrillation Detection
Yuxing Wei, Shenzhen University; Haiying Li, The University of Hong Kong–Shenzhen Hospital; Cheng Zhao, Junqin Luo, Ronglin Zhang, Jiaqiang Li, Baiying Lei, Shenzhen University
Session:
We.2.1: Deep and Representation Learning for Cardiac Risk Oral
Track:
Biomedical Signal Processing
Location:
Room 803AB
Presentation Time:
Wednesday, 29 July, 12:00 - 12:15
Session Co-Chairs:
Constantinos Pattichis and João Pedrosa
Presentation
Discussion
Resources
No resources available.
Session We.2.1
We.2.1.1: SHORT-TERM ATRIAL FIBRILLATION PATIENT IDENTIFICATION USING EVENT-FREE BEAT-TO-BEAT INTERVAL SERIES: FEATURE-BASED APPROACH VS DEEP LEARNING
Paul Kapust, Smart Solutions Technologies S.L. (NUUBO); Massimo Walter Rivolta, Roberto Sassi, Universita degli Studi di Milano; Javier Ruiz López, Borja Gonzálvez, Smart Solutions Technologies S.L. (NUUBO)
We.2.1.2: A Comparative Evaluation of ECG Foundation Models for Atrial Fibrillation Detection
Abdolrahman Peimankar, Smith K. Khare, University of Southern Denmark; Naser Hossein Motlagh, University of Helsinki; Mahdi Momeni, Parisa Niloofar, University of Southern Denmark; Nicolai Spicher, Technical University of Denmark; Daniel Teichmann, University of Southern Denmark; Sadasivan Puthusserypady Kumaran, Technical University of Denmark
We.2.1.3: An Uncertainty-Guided Hybrid Co-Training Framework for Semi-Supervised Atrial Fibrillation Detection
Yuxing Wei, Shenzhen University; Haiying Li, The University of Hong Kong–Shenzhen Hospital; Cheng Zhao, Junqin Luo, Ronglin Zhang, Jiaqiang Li, Baiying Lei, Shenzhen University
We.2.1.4: ECG-BASED PHENOTYPING OF HYPERTROPHIC CARDIOMYOPATHY USING DEEP LEARNING LATENT REPRESENTATIONS
Marion Taconné, Valentina D.A. Corino, Politecnico di Milano; Adrien Al Wazzan, Erwan Donal, Université Rennes, CHU Rennes; Pietro Cerveri, Luca Mainardi, Politecnico di Milano
We.2.1.5: GEOMETRIC EMBEDDINGS FOR EXPLAINABLE ARRHYTHMIA CLASSIFICATION WITH UNCERTAINTY QUANTIFICATION
Mohammed Yusuf Ansari, Carnegie Mellon University in Qatar; Md Rabiul Islam, Texas A&M University; Mohammed Ishaq, University of Melbourne; Mohammed Yaqoob, Eduardo Feo Flushing, Carnegie Mellon University in Qatar; Erchin Serpedin, Texas A&M University
We.2.1.6: TRANSFORMER-BASED DEEP LEARNING FOR NSVT DETECTION IN HYPERTROPHIC CARDIOMYOPATHY
Lucia Vavassori, Javier Saiz Vivo, Dori Peleg, Raphael Schneider, Medtronic; Valentina D.A Corino, Politecnico di Milano
Resources
No resources available.