Technical Program
Tuesday, October 19, 2021
Time |
Event |
(+)
|
08:45 - 09:00
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Welcome address (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
|
Coffee break (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
|
Lunch (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
|
Coffee break (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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