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