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
Login Paper Search My Schedule Paper Index Help

My ICASSP 2021 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)
Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2021 Open Preview.

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

MLSP-43: Biomedical Applications

Session Type: Poster
Time: Friday, 11 June, 13:00 - 13:45
Location: Gather.Town
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