, Events

We are MIBE Speaker Series: Prof. Julia Schnabel & Prof. Daniel Rückert

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At each event, two Principal Investigators (PIs) of MIBE working in related research areas will provide exciting insights into their research. After the talks which take around 90 minutes, there is plenty of time for networking. 

Speakers:
Prof. Julia Schnabel: “Towards real-time medical imaging”
Prof. Daniel Rückert: “Learning clinically useful information from medical images”

Date and Time: Wednesday, April 6th, 4:30 pm – around 6:00 pm, afterwards networking

Place: MIBE lecture hall (room E.126), Boltzmannstraße 11, 85748 Garching and zoom

 

About the speakers

Prof. Dr. Julia Schnabel

Prof Schnabel's (*1969) field of research comprises medical image computing and machine learning. Her research focuses on intelligent imaging solutions and computer aided evaluation, including complex motion modelling, image reconstruction, image quality control, image segmentation and classification, applied to multi-modal, quantitative and dynamic imaging.

Since 2021 Julia Schnabel is Professor for Computational Imaging and AI in Medicine at TUM (TUM Liesel Beckmann Distinguished Professorship), jointly with Helmholtz Center Munich (Helmholtz Distinguished Professorship). She studied at TU Berlin (1993) and did a PhD at University College London (1998), followed by Postdocs at UMC Utrecht, King's College London, and UCL. In 2007 she became first Associate Professor and in 2014 Full Professor of Engineering Science at University of Oxford, and from 2015 Chair in Computational Imaging at King's College.

 

Prof. Dr. Daniel Rückert

Professor Rückert’s (*1969) field of research is the area of Artificial Intelligence (AI) and Machine Learning and their application to medicine and healthcare. His research focuses on (1) the development of innovative algorithms for biomedical image acquisition, image analysis and image interpretation – especially in the areas of image reconstruction, registration, segmentation, traching and modelling; (2) AI for extracting clinically useful information from biomedical images – especially for computer-assisted diagnosis and prognosis.

Since 2020, Daniel Rückert is Alexander von Humboldt Professor for AI in Medicine and Healthcare at the Technical University of Munich. He is also a Professor at Imperial College London. He gained a MSc from Technical University Berlin in 1993, a PhD from Imperial College in 1997, followed by a post-doc at King’s College London. In 1999 he joined Imperial College as a Lecturer, becoming Senior Lecturer in 2003 and full Professor in 2005. From 2016 to 2020 he served as Head of the Department of Computing at Imperial College.

 

Further information

In Person Participation 

For in person participation the Corona regulations of TUM valid at the time of the talks apply. As of now (March 16th), participation is only possible if the 3G rule is fulfilled. Furthermore, a mask is mandatory whenever the minimum distance of 1.5 meters to other people cannot be kept. 

Livestream
There will be a live-stream for this event via zoom. 

Zoom details:  Topic: We are MIBE Speaker Series, Link: https://tum-conf.zoom.us/j/64853899155, Meeting-ID: 648 5389 9155, Passcode: waMIBE_22

Recognition Qualification Program for Doctoral Candidates
If you're doing your doctorate within the field of biomedical engineering, regular participation in the speaker series can be counted towards subject-specific qualification in DocGS (6 hours / 0.5 SWS). For non-GCB members, please double-check with your Garduate Center, if they will accept this before. 
If you would like to receive a participation confirmation, please register before the first talk using this form. 
 

Further talks in this series in the summer term 2022

May 4th, 2022, 4:30 - around 6:00 pm: 
Prof. Gil Westmeyer (topic tbd) 
Prof. Bernhard Wolfrum (topic tbd)

May 31st, 2022, 4:30 - around 6:00 pm: 
Prof. Kristen Kozielski “Magnetoelectric nanomaterials for wireless neuronal modulation”
Prof. Berna Özkale Edalmann “Soft microrobots for single cell mechanobiology”