HP-V2.V9: Machine Learning for Biomedical Image Processing
Thu, 6 Oct, 22:00 - 23:00 China Standard Time (UTC +8)
Thu, 6 Oct, 16:00 - 17:00 Central European Time (UTC +2)
Thu, 6 Oct, 14:00 - 15:00 UTC
Thu, 6 Oct, 10:00 - 11:00 Eastern Time (UTC -4)
Virtual Poster
Location: Gather.Town 9
Session Co-Chairs: Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Track: Applications of Machine Learning

HP-V2.V9.1: DEEP LEARNING BASED EEG ANALYSIS USING VIDEO ANALYTICS
Darshil Shah, Gopika Gopan K, Neelam Sinha, Institute of Information Technology-Bangalore (IIITB), India; Meghna Govind, Sri Sivasubramaniya Nadar College of Engineering, India

HP-V2.V9.2: 3DCT reconstruction from a single x-ray projection using convolutional neural network
Estelle Loÿen, Damien Dasnoy-Sumell, Benoît Macq, UCLouvain, Belgium

HP-V2.V9.3: MIXUP-BASED DEEP METRIC LEARNING APPROACHES FOR INCOMPLETE SUPERVISION
Luiz Buris, Fabio Faria, Federal University of Sao Paulo, Brazil; Daniel Pedronette, Joao Papa, Sao Paulo State University, Brazil; Jurandy Almeida, Gustavo Carneiro, Federal University of Sao Carlos, Brazil

HP-V2.V9.4: UNBIASED VALIDATION OF THE ALGORITHMS FOR AUTOMATIC NEEDLE LOCALIZATION IN ULTRASOUND-GUIDED BREAST BIOPSIES
Agata M. Wijata, Jakub Nalepa, Silesian University of Technology, Poland

HP-V2.V9.5: A CERVIX DETECTION DRIVEN DEEP LEARNING APPROACH FOR COW HEAT ANALYSIS FROM ENDOSCOPIC IMAGES
Ruiwen He, Halim Benhabiles, Feryal Windal, Univ. Lille, CNRS, Centrale Lille, Junia, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN - Institut d'Electronique de Microélectronique et de Nanotechnologie, France; Gaël Even, GD Biotech - Gènes Diffusion, France; Christophe Audebert, GD Biotech - Gènes Diffusion,, France; Dominique Collard, LIMMS/CNRS-IIS The University of Tokyo, IRL 2820, France; Abdelmalik Taleb-Ahmed, Univ. Lille, CNRS, Centrale Lille, Junia, Univ. Polytechnique Hauts-de-France, UMR 8520 - IEMN - Institut d'Electronique de Microélectronique et de Nanotechnologie, F-59000 Lille, France, France

HP-V2.V9.6: REPRESENTATION LEARNING USING RANK LOSS FOR ROBUST NEUROSURGICAL SKILLS EVALUATION
Britty Baby, Mustafa Chasmai, Tamajit Banerjee, Subhashis Banerjee, Chetan Arora, Indian Institute of Technology Delhi, India; Ashish Suri, All India Institute of Medical Sciences New Delhi, India

HP-V2.V9.7: EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR MAGNETIC RESONANCE IMAGING AGING BRAINPRINTS GROUNDS AND CHALLENGES
Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, Ahmed Salih, Silvia Francesca Storti, Gloria Menegaz, University of Verona, Italy; Petia Radeva, University of Barcelona, Spain

HP-V2.V9.8: GRAPH AUTOENCODER-BASED EMBEDDED LEARNING IN DYNAMIC BRAIN NETWORKS FOR AUTISM SPECTRUM DISORDER IDENTIFICATION
Fuad Noman, Sin-Yee Yap, Raphael Phan, Chee-Ming Ting, Monash University Malaysia, Malaysia; Hernando Ombao, King Abdullah University of Science and Technology, Saudi Arabia