BISA_L4: Artificial Intelligence in Biomedical Applications |
| Session Type: Lecture |
| Time: Wednesday, August 31, 14:00 - 15:40 |
| Location: Atlantic 3 |
| Session Chair: Goran Kvaščev, University of Belgrade |
| BISA_L4.1: CONVOLUTIONAL DICTIONARY LEARNING BY END-TO-END TRAINING OF ITERATIVE NEURAL NETWORKS |
| Andreas Kofler, Tobias Schäffter, Christoph Kolbitsch, Physikalisch-Technische Bundesanstalt, Germany; Christian Wald, Charité - Universitätsmedizin Berlin, Germany; Markus Haltmeier, University of Innsbruck, Austria |
| BISA_L4.2: CONTRASTIVE LEARNING FOR ATRIAL FIBRILLATION DETECTION IN CHALLENGING SCENARIOS. |
| Karen Fonseca, Sergio Osorio, Jeyson Castillo, Carlos Fajardo, Universidad Industrial de Santander, Colombia |
| BISA_L4.3: DEEP LEARNING FOR SCALP HIGH FREQUENCY OSCILLATIONS IDENTIFICATION |
| Gaëlle Milon-Harnois, Nisrine Jrad, Pierre Chauvet, Laboratoire Angevin en Recherche des Systèmes (LARIS), France; Daniel Schang, ESEO Tech, LERIA, France; Patrick Van Bogaert, Centre Hospitalier Universitaire, France |
| BISA_L4.4: SECONDARY STRUCTURE CLASSIFICATION OF LOW-HOMOLOGY PROTEINS WITH GRAPH NEURAL NETWORKS |
| Michaela Areti Zervou, Panagiotis Tsakalides, University of Crete, Foundation for Research and Technology-Hellas, Greece; Effrosyni Doutsi, Foundation for Research and Technology-Hellas, Greece |
| BISA_L4.5: AUDIO-BASED DEEP LEARNING FRAMEWORKS FOR DETECTING COVID-19 |
| Dat Ngo, Sefki Kolozali, Delaram Jarchi, University of Essex, United Kingdom; Lam Pham, Austrian Institute of Technology, Austria; Truong Hoang, FPT Software Company Limited, Viet Nam |