2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

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MLSP-43: Biomedical Applications

Session Type: Poster
Time: Friday, 11 June, 13:00 - 13:45
Location: Gather.Town
Virtual Session: View on Virtual Platform
Session Chair: David Luengo, Universidad Politécnica de Madrid
 
 MLSP-43.1: DETECTION OF POST-TRAUMATIC STRESS DISORDER USING LEARNED TIME-FREQUENCY REPRESENTATIONS FROM PUPILLOMETRY
         Bilal Taha; University of Toronto
         Megan Kirk; York University
         Paul Ritvo; York University
         Dimitrios Hatzinakos; University of Toronto
 
 MLSP-43.2: SUBJECT-INVARIANT EEG REPRESENTATION LEARNING FOR EMOTION RECOGNITION
         Soheil Rayatdoost; University of Geneva
         Yufeng Yin; University of Southern California
         David Rudrauf; University of Geneva
         Mohammad Soleymani; University of Southern California
 
 MLSP-43.3: TOWARDS PARKINSON’S DISEASE PROGNOSIS USING SELF-SUPERVISED LEARNING AND ANOMALY DETECTION
         Hongchao Jiang; Nanyang Technological University
         Wei Yang Bryan Lim; Nanyang Technological University
         Jer Shyuan Ng; Nanyang Technological University
         Yu Wang; Alibaba Group
         Ying Chi; Alibaba Group
         Chunyan Miao; Nanyang Technological University
 
 MLSP-43.4: IN-BED PRESSURE-BASED POSE ESTIMATION USING IMAGE SPACE REPRESENTATION LEARNING
         Vandad Davoodnia; Queen's University
         Saeed Ghorbani; York University
         Ali Etemad; Queen's University
 
 MLSP-43.5: TOWARDS THE DEVELOPMENT OF SUBJECT-INDEPENDENT INVERSE METABOLIC MODELS
         Seyedhooman Sajjadi; Texas A&M University
         Anurag Das; Texas A&M University
         Ricardo Gutierrez-Osuna; Texas A&M University
         Theodora Chaspari; Texas A&M University
         Projna Paromita; Texas A&M University
         Laura Ruebush; Texas A&M University
         Nicolaas Deutz; Texas A&M University
         Bobak Mortazavi; Texas A&M University
 
 MLSP-43.6: HUMAN-EXPERT-LEVEL BRAIN TUMOR DETECTION USING DEEP LEARING WITH DATA DISTILLATION AND AUGMENTATION
         Diyuan Lu; Frankfurt Institute for Advanced Studies
         Nenad Polomac; Institute for Neuroradiology Frankfurt university hospital Frankfurt am Main
         Iskra Gacheva; Institute for Neuroradiology Frankfurt university hospital Frankfurt am Main
         Elke Hattingen; Institute for Neuroradiology Frankfurt university hospital Frankfurt am Main
         Jochen Triesch; Frankfurt Institute for Advanced Studies