Journée organisée par la Fédération Math-Stic, Université Sorbonne Paris Nord
19-19 oct. 2021 Villetaneuse (France)

Programme Technique

mardi 19 octobre 2021

Heures événement  
08:45 - 09:00 Discours de bienvenue (B407)  
09:00 - 09:30 Stereo Vision Based Surface Registration for Abdomen Minimally Invasive Surgery (B407) - Concong Wang, Machine vision lab, Tianjin University of Technology, China  
09:30 - 10:15 The Next Generation of AI in Medicine (B407) - Shadi Albarquouni, Helmholtz Center Munich, Germany  
10:15 - 10:45 Residual network based distortion classification and ranking for laparoscopic image quality (B407) - Zohaib Amjad Khan, L2S-CNRS, CentraleSupelec, Université Paris Saclay, France   
10:45 - 11:00 Pause café (B407)  
11:00 - 11:45 New horizons in deep learning-assisted multimodality medical image analysis (B407) - Habib Zaidi, PET Instrumentation & Neuroimaging Laboratory at Geneva University Hospital  
11:45 - 12:30 Numerical observers for the objective quality assessment of medical images. (B407) - Lu ZHANG, INSA, Rennes, France  
12:30 - 14:00 Déjeuner (F001)  
14:00 - 14:45 Computer aided diagnoses for wireless capsule endoscopy (B407) - Marius Pedersen & Anuja Vats ; ColourLab, NTNU, Norway  
14:45 - 15:30 Learning the COVID-19 Proteomic mechanisms from a graph convolutional network of topological models (B407) - Ian Morilla; LAGA-USPN , France  
15:30 - 15:45 Pause café (B405)  
15:45 - 16:15 Automatic detection and spatial modelling of Ulcerative Colitis lesions from colonoscopy videos (B407) - Safaa Al-Ali ; LAGA, USPN, France  
16:15 - 16:45 Towards a comprehensive database to study the impact of image quality on abnormality detection and classification in Wireless Capsule Endoscopy (B407) - Sy Tan Nguyen; LAGA & L2TI, USPN, France  
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