Schedule
Workshop Program
11:00–12:00 | Registration | |
12:00–12:20 | Welcome | |
12:20–13:00 | Decomposing Neural Networks - Multilevel and Domain Decomposition Strategies for Training (Rolf Krause) | |
13:00–14:00 | Lunch | |
14:00–14:40 | Artificial Neural Networks as Complex Networks (Giuseppe Nicosia) | |
14:40–15:20 | Data driven Segmentation of Liver and Lesions using deep learning method (Zijin Yang) | |
15:20–15:50 | Coffee Break | |
15:50–16:30 | Retrospective Motion Estimation in MRI using Deep CNNs (Mathias Feinler) | |
19:00 | Social Dinner (not included in the fee) |
09:20–10:00 | Computational methods for the inverse problem of MRI reconstruction: From basic concepts to clinical translation (Florian Knoll) | |
10:00–10:40 | An optimal control based supervised learning algorithm for training Runge-Kutta structured neural networks (Sebastian Hofmann) | |
10:40–11:10 | Coffee Break | |
11:10–11:50 | Probabilistic Numerics for Scientific Machine Learning (Jonathan Wenger) | |
11:50–12:30 | Preconditioning for gradient methods applied to supervised learning (Nadja Vater) | |
12:30–13:30 | Lunch | |
13:30–14:10 | ML-Anwendungen in der klinischen Radiologie (Julius Heidenreich) | |
14:10–14:50 | Some applications of Variational Networks in clinical magnetic resonance imaging (Jonas Kleineisel) | |
14:50–15:20 | Coffee Break | |
15:20–16:00 | Gradient methods for optimization and games in machine learning (Alfio Borzì) |
09:20–10:00 | Multimodal AI and Interpretability (Markus Ankenbrand) | |
10:00–10:40 | Applications of Machine Learning in MRI: The industry perspective (André Fischer) | |
10:40–11:10 | Coffee Break | |
11:10-11:50 | The rise of AI for MRI – A journey through the past 8 years (Kerstin Hammernik) | |
11:50-12:00 | Closing remarks (Alfio Borzì) | |
12:00-13:00 | Lunch |
Venue
The Institute of Mathematics is located in the new Campus Hubland Nord.
Lectures will take place in
Seminar room 41.00.006
Institute of Mathematics
University of Würzburg
Emil-Fischer-Str. 41
97074 Würzburg, Germany
More information How to reach the Institute of Mathematics (English version)