Für Sonntag Nachmittag dem 07.03.2021 sind vier Tutorials geplant:

Medical image registration has been a cornerstone in the research fields of medical image computing and computer assisted intervention, responsible for many clinical applications. Whilst machine learning methods have long been important in developing pairwise algorithms, recently proposed deep-learning-based frameworks directly infer displacement fields without iterative optimisation for unseen image pairs, using neural networks trained from large population data. These novel approaches promise to tackle several most challenging aspects previously faced by classical pairwise methods, such as high computational cost, robustness for generalisation and lack of inter-modality similarity measures. Output from several international research groups working in this area include award-winning conference presentations, high-impact journal publications, well-received open-source implementations and industrial-partnered translational projects, generating significant interests to all levels of world-wide researchers. Accessing to the experience and expertise in this inherently multidisciplinary topic can be beneficial to many in our community, especially for the next generation of young scientists, engineers and clinicians who often have only been exposed to a subset of these methodologies and applications. We propose to organise a tutorial including both theoretical and practical sessions, inviting expert lectures and tutoring coding for real-world examples. Six lectures cover topics from basic methodologies to advanced research directions, with two hands-on sessions guiding participants to understand and implement published algorithms using clinical imaging data. We aim to provide an opportunity for the participants to bridge the gap between expertises in medical image registration and deep learning, as well as to start a forum to discuss know-hows, challenges and future opportunities in this area.

Has your neck ever felt stiff after a long working day in the office? Do you benefit from piling 50kg on your head? Moreover, why are Swedish dentist from the 1960 part of the explanation and how does this relate to musculoskeletal modelling? This workshop will try to answer some of these. The understanding of musculoskeletal loading gives way to new concepts in prevention, diagnosis and rehabilitation of musculoskeletal disorders. Novel simulation techniques allow for personalised virtual body models and detailed analyses of muscle and joint loading. This workshop will highlight the basics of musculoskeletal simulations and show examples from orthopaedics, ergonomics and sport science. Furthermore, current research that focuses on enhancing the methods by taking into account the influence of mental stress and fatigue will be discussed.

Von Knochen und Muskeln – Muskuloskelettale Menschmodelle

Kennen Sie das Gefühl eines starren Nackens nach einem langen Arbeitstag? Ist es wirklich gut, wenn man 50kg auf seinen Kopf lädt? Und was hat das Ganze mit schwedischen Zahnärzten aus den 1960er Jahren und muskuloskelettaler Simulation zu tun? Dies sind Fragen, die in diesem Workshop beantwortet werden.
Detaillierte Informationen über die muskuloskelettalen Belastungen im menschlichen Körper ermöglichen neuartige Konzepte in der Prävention, Diagnose und Rehabilitation von Erkrankungen des Bewegungsapparates. Mit Hilfe von virtuellen Mensch Modellen können patientenspezifisch Muskel- und Gelenkkräfte berechnet werden.
In diesem Workshop werden die Grundlagen der muskuloskelettalen Simulation erläutert und Beispiele aus der Orthopädie, Ergonomie und den Sportwissenschaften besprochen. Weiter werden aktuelle Forschungsprojekte zur Integration von mentalem Stress und Ermüdung in die Simulationstechnik vorgestellt.

Anmeldung ab dem 22.1.2021 über die Registrierungsseite.
Eine Anmeldung zu den Tutorials ist auch ohne Anmeldung zur Tagung möglich.