MA-L.B: Medical Image Analysis
Mon, 17 Oct, 16:30 - 18:30 China Standard Time (UTC +8)
Mon, 17 Oct, 10:30 - 12:30 Central European Time (UTC +2)
Mon, 17 Oct, 08:30 - 10:30 UTC
Mon, 17 Oct, 04:30 - 06:30 Eastern Time (UTC -4)
Lecture
Location: Room B
Session Chair: Gloria Menegaz, Università degli Studi di Verona
Track: Biomedical Signal Processing

MA-L.B.1: A Deep Ensemble Learning Approach to Lung CT Segmentation for COVID-19 Severity Assessment
Tal Ben-Haim, Ron Moshe Sofer, Ilan Shelef, Gal Ben-Arie, Tammy Riklin Raviv, Ben-Gurion University, Israel

MA-L.B.2: OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES
Aysen Degerli, Moncef Gabbouj, Tampere University, Finland; Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury, Qatar University, Qatar

MA-L.B.3: HEART RATE ESTIMATION IN INTENSE EXERCISE VIDEOS
Yeshwanth Napolean, Anwesh Marwade, Nergis Tomen, Jan van Gemert, TU Delft, Netherlands; Puck Alkemade, VU Amsterdam, Netherlands; Thijs Eijsvogels, Radboud UMC, Netherlands

MA-L.B.4: A STUDY OF DEEP LEARNING NETWORKS FOR MOTION COMPENSATION IN CARDIAC GATED SPECT IMAGES
Xirang Zhang, Álvaro Belloso, Yongyi Yang, Miles Wernick, Illinois Institute of Technology, United States of America; P. Hendrik Pretorius, Michael King, University of Massachusetts Medical School, United States of America

MA-L.B.5: MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation
Ziyuan Zhao, Zeng Zeng, Xulei Yang, Peisheng Qian, I2R, A*STAR, Singapore; Jinxuan Hu, Bharadwaj Veeravalli, National University of Singapore, Singapore; Cuntai Guan, Nanyang Technological University, Singapore

MA-L.B.6: COFENet: CO-FEature Neural Network Model for Fine-Grained Image Classification
Bor-Shiun Wang, Jun-Wei Hsieh, Yi-Kuan Hsieh, Ping-Yang Chen, National Yang Ming Chiao Tung University, Taiwan