MP-P.PZ2.7

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
Session:
Machine Learning for Biomedical Image Processing
Poster
Track:
Applications of Machine Learning
Location:
Poster Zone 2
Presentation Time:
Mon, 17 Oct, 22:00 - 00:30 China Standard Time (UTC +8)
Mon, 17 Oct, 16:00 - 18:30 Central European Time (UTC +1)
Mon, 17 Oct, 14:00 - 16:30 UTC
Mon, 17 Oct, 10:00 - 12:30 Eastern Time (UTC -5)
Session Co-Chairs:
Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session MP-P.PZ2
MP-P.PZ2.1: 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
MP-P.PZ2.2: 3DCT reconstruction from a single x-ray projection using convolutional neural network
Estelle Loÿen, Damien Dasnoy-Sumell, Benoît Macq, UCLouvain, Belgium
MP-P.PZ2.3: 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
MP-P.PZ2.4: UNBIASED VALIDATION OF THE ALGORITHMS FOR AUTOMATIC NEEDLE LOCALIZATION IN ULTRASOUND-GUIDED BREAST BIOPSIES
Agata M. Wijata, Jakub Nalepa, Silesian University of Technology, Poland
MP-P.PZ2.5: 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
MP-P.PZ2.6: 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
MP-P.PZ2.7: 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
MP-P.PZ2.8: 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