Conference Agenda

Overview and session details of the ESB2023 congress.
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Session Overview
Session
AI / Data-driven modelling in biomechanics I: Decision Support
Time:
Tuesday, 11/July/2023:
15:45 - 17:00

Session Chair: Christian J. Cyron
Session Chair: Tien-Tuan Dao
Location: Copenhagen (Room 0.3)


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Presentations
15:45 - 16:10
ID: 110

MODERN AI MEETS BIOMECHANICS: A NEW PARADIGM FOR IN SILICO MEDICINE

T.-T. Dao

Centrale Lille Institut, France

ESB2023_3.1_Dao_110.pdf


16:10 - 16:22
ID: 160

PREDICTION OF KNEE OSTEOARTHRITIS USING MACHINE LEARNING ENHANCED FINITE ELEMENT MODELING APPROACH – DATA FROM OSTEOARTHRITIS INITIATIVE

M. J. Turunen1, T. A. T. Nurmirinta1, M. K. Liukkonen2, J. Tohka1, M. E. Mononen1

1University of Eastern Finland, Finland; 2Kuopio university Hospital, Finland

ESB2023_3.1_Turunen_160.pdf


16:22 - 16:34
ID: 583

PREDICTING THE PREMORBID ANATOMY OF THE SCAPULA USING GENERATIVE MODELS

O. B. Satir1, P. Eghbali2, A. Terrier2,3, F. Becce3, P. Goetti3, A. Meylan3, K. Rothenbühler3, P. Büchler1

1ARTORG Center for Biomedical Engineering Research, Switzerland; 2Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland; 3Lausanne University Hospital (CHUV), Switzerland

ESB2023_3.1_Satir_583_abstract.pdf


16:34 - 16:46
ID: 679

AI-BASED GENERATION OF MULTIFARIOUS MEDICAL DATA FOR IN SILICO CLINICAL TRIALS

R. GANESAN1, F. N. V. D. VOSSE1, W. HUBERTS1,2

1Department of Biomedical Engineering, Eindhoven University Of Technology, The Netherlands; 2Department of Biomedical Engineering, CARIM School for Cardiovascular Diseases, Maastricht University, The Netherlands

ESB2023_3.1_GANESAN_679.pdf


 
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