News

Category: News

Björn Eskofier gives the plenary lecture on AI and wearables for digital medicine this upcoming Thursday during the annual Congress of the German senology society. We at the MaD lab are happy to collaborate with Medical Valley, EIT Health, HIH 2025, Mobilise-D, and Digital Medicine Society (DiMe) t...

Category: News

We are proud to announce that our last paper “Towards an IMU-based Pen Online Handwriting Recognizer” has been accepted for publication at the 16th International Conference on Document Analysis and Recognition (ICDAR 2021), the premier international event for scientists and practitioners involved in...

Category: News

Lukas has been interested in robotics and autonomous systems for as long as he can remember. He has studied Mechatronics and Computer Science at the FAU Erlangen-Nuremberg, studying design, control, perception, and decision-making for autonomous systems. In his Bachelor thesis, Lukas used drones to ...

Category: News

If you are a young life scientist looking to acquire crucial skills to transition to the working world, SCI FI can give you the skills you need to thrive as an innovator in the healthcare industry. There is still time to register for our informative webinar on the 19.05.21 at 5 pm CEST https:/...

Category: News

Thomas, who grew up in the Bavarian alps near Berchtesgaden, received both his bachelor's and master's degree in computer science at the Friedrich-Alexander-University Erlangen-Nürnberg (FAU). In April 2021 he joined the MaD team, where he is working to improve breast cancer prevention and treatment...

Category: News

Madeleine joined the MaD-Team in April 2021 as a Ph.D. candidate. After completing her Bachelor's studies in Biomedical Engineering at the technical university in Regensburg she decided it was time for a change of scenery and moved to Erlangen for her master's degree in Medical Engineering at the FA...

Category: News

The Machine Learning and Data Analytics Lab (MaD Lab) is proud to announce an intro session in which we will present numerous research projects (10 ECTS), in a wide range of applications, from deep learning methods to industrial or medical applications. The meeting will take place Thursday, April...