BISA-P4: Biomedical Signal and Image Analytics: Cardio-Respiratory Applications
Wed, 10 Sep, 15:30 - 17:10 Italy Time (UTC +2)
Location: Poster Area A
Session Type: Poster
Session Chair: Aggelos Pikrakis, University of Piraeus
Track: BISA - Biomedical Image & Signal Analytics

BISA-P4.1: Fetal Well-Being Prediction with One-Class Gaussian Process Anomaly Detection
Taraneh G. Azarnir, Stony Brook University, United States; Cassandra Heiselman, Stony Brook Medicine, United States; Petar M. Djuric, Stony Brook University, United States

BISA-P4.2: Data-Driven Aortic Pressure Curve Reconstruction using Electrical Impedance Measurements
Jacob P. Thönes, Henryk Richter, Patricia Fuchs, Lisa Krukewitt, University of Rostock, Germany; Fabian Mueller-Graf, Amelie R. Zitzmann, Stephan H. Böhm, Daniel A. Reuter, University Medical Center Rostock, Germany; Volker Kuehn, Sascha Spors, University of Rostock, Germany

BISA-P4.3: A Computationally Efficient Fully Convolutional Network for Respiratory Sound Classification
Ioanna Miliaresi, Ionian University, Greece; Aggelos Pikrakis, University of Piraeus, Greece

BISA-P4.4: Mitigating False Positives in ECG Segmentation Through Deep Learning-based Postprocessing
Alaa Salama, Amar Kachenoura, Salman Almuhammad Alali, Guy Carrault, Lotfi Senhadji, Ahmad Karfoul, Univ. Rennes, Inserm, LTSI - UMR 1099, France

BISA-P4.5: Does Effective Heart Sound Segmentation Necessarily Require Deep Learning?
Salman Almuhammad Alali, Amar Kachenoura, Lotfi Senhadji, Alfredo I. Hernandez, Laurent Albera, Ahmad Karfoul, Univ. Rennes, Inserm, LTSI-UMR 1099, France

BISA-P4.6: FUSION OF HANDCRAFTED AND DEEP-LEARNED CARDIORESPIRATORY FEATURES FOR BREATHING PATTERN CLASSIFICATION
Manuel Lage Cañellas, Constantino Álvarez Casado, Miika Malin, Nicoletta Prencipe, Sasan Sharifipour, Miguel Bordallo López, University of Oulu, Finland