Program
Keynotes: 35 mins presentation + 10 mins Q&A
Papers: 20 mins presentation + 5 mins Q&A
09:00-09:05 Welcome
09:05-09:50 Keynote 1: "Learning useful patient representations from multimodal data" by Kenney Ng, Ph.D., Principal Research Scientist, Accelerated Discovery, Healthcare & Life Sciences, Senior Manager, Center for Computational Health, IBM Research AI, Cambridge, MA USA
09:50-10:00 Break
10:00-10:25 Paper presentation 1: Radhika Dua, Jiyoung Lee, Joon-myoung Kwon, and Edward Choi, "Automatic Detection of Noisy Electrocardiogram Signals without Explicit Noise Labels"
10:25-10:50 Paper presentation 2: Banafshe Felfeliyan, Abhilash Hareendranathan, Gregor Kuntze, Stephanie Wichuk, Nils D. Forkert, Jacob L. Jaremko, and Janet L. Ronsky, "Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss"
10:50-11:00 Break
11:00-11:25 Paper presentation 3: Changhyun Kim, Sangjae Lee, and Kwangseok Lee, "Tremor Feature Extraction for Enhanced Interpretability of Vocal Disease Classification"
11:25-11:30 Short Break
11:30-12:15 Closing by Prof. Lale Akarun, 1st Vice President, IAPR Executive Committee Member, Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey