Program and Speaker - pic
2018-03-25 event information 479 0

Program

We are pleased to announce our Keynote Speakers

Opening Ceremony of BMT 2019

September 25, 2019 – 18:30 - 19:45

18:30 – 18:45 - Greetings of the Conference Chairs

18:45 -19:15 - Official Speech

Prof. Dr. Peter Osypka - picture

19:15 – 19:30 - DGBMT Fellow

Prof. Dr. Peter Osypka, OSYPKA AG

Prof. Dr. Peter Osypka - picture

Prof. Dr. Peter Osypka, OSYPKA AG

Dr.-Ing. Matthias Müller

19:30 – 19:40 - Award of the Klee-Price of the DGBMT

Dr.-Ing. Matthias Müller

Karin Somerlik-Fuchs

19:40 – 19:50 - Award of “Patientensicherheit in der Medizintechnik” Price

Karin Somerlik-Fuchs

19:50 - Get Together and Poster Session

Keynotes of BMT 2019

Dr. Klaus Maier-Hein - picture

PD Dr. Klaus Maier-Hein

Künstliche Intelligenz und Bildverarbeitung in der Med. Diagnostik

DKFZ Heidelberg

Dr. Klaus Maier-Hein - picture

Künstliche Intelligenz und Bildverarbeitung in der Med. Diagnostik

DKFZ Heidelberg

Klaus Maier-Hein heads the Division of Medical Image Computing at the German Cancer Research Center (DKFZ) and the Section of Automated Image Analysis at Heidelberg University Hospital. After studying computer science at Karlsruhe Institute of Technology and École Polytechnique Fédérale de Lausanne he received his PhD in computer science in 2010 from the University of Heidelberg, followed by postdoctoral work at DKFZ and Harvard Medical School. His research is focused on deep learning methodology in the context of medical image analysis and the development of research software infrastructure for efficient translation of results.

Abstract:

Despite its vast potential, the actual practice-changing clinical impact of “artificial intelligence” has so far been rather modest. Why is that? The talk will cover several major challenges that I consider essential in unlocking the full potential of machine learning in radiology, and I will present current examples of our ongoing research that addresses them.

Prof. Dr. Mauricio Reyes - Picture

Prof. Dr. Mauricio Reyes

Healthcare Imaging A.I: Challenges and Opportunities

Prof. Dr. Mauricio Reyes - Picture

Healthcare Imaging A.I: Challenges and Opportunities

Mauricio Reyes, conducted graduate studies as Electrical Engineering at the University of Santiago, Chile where he was awarded best electrical engineer thesis by the Chilean Institute of Engineers School. He conducted postgraduate studies to obtain a Ph.D. in Computer Sciences with specialization in Medical Image Analysis from INRIA, France (2006). He is an associate professor at the medical faculty of the University of Bern, and is currently leading the Healthcare Imaging A.I. group at the Insel Data Science Center, of the University Hospital Inselspital. His research focuses on basic and applied machine learning technologies as well as biomedical engineering solutions to improve healthcare through medical image computation technologies. A particular strength of his research has been the emphasis on developing solutions that are designed to be integrated into the clinical workflow. Dr. Reyes has participated in several Swiss National Science Foundation projects, Commission of Technology and Innovation projects, EU-FP7 projects on computational oncology and computational anatomy, and several further projects supported by Swiss foundations. From 2006 he has secured over 7.6M EUR research funds. He has an H-index: 28, has authored over 200 articles, with over 4000 citations. His entrepreneurial work has also led to the creation of one consolidated start-up company.

Prof. Zlatko Trajanoski

Prof. Zlatko Trajanoski

Enabling precision immuno-oncology

Prof. Zlatko Trajanoski

Enabling precision immuno-oncology

Zlatko Trajanoski studied biomedical engineering at the Graz University of Technology, Graz, Austria. In his PhD thesis he worked on the development of an artificial pancreas using continuous subcutaneous glucose monitoring and model predictive control. He was then a postdoctoral fellow at Yale, New Haven, CT/USA and became associate professor for biomedical engineering at the Graz University of Technology. In year 2003 he was appointed as full professor for bioinformatics at Graz University of Technology and in year 2010 as full professor for bioinformatics at the Division of Bioinformatics, Biocenter, Medical University of Innsbruck, Austria.

Research in his laboratory focuses on deciphering tumour–immune cell interaction using computational and experimental approaches and developing a platform for precision immune-oncology.

Christoph Gerber (1)

Christoph Gerber

Personalisierte Implantate/Medizin" im Spannungsfeld von Herausforderungen und Chancen der Personalisierung

Stryker Leibinger GmbH & Co. KG

Christoph Gerber (1)

Personalisierte Implantate/Medizin" im Spannungsfeld von Herausforderungen und Chancen der Personalisierung

Stryker Leibinger GmbH & Co. KG

Christoph Gerber graduated from University of Glasgow with an MSc degree in Computing Science. In 1996, he started his career as Software Engineer at a Scottish company developing speech recognition and business process engines for CRM solutions. Then, he held various R&D management functions in the telecommunication business working for Bosch and Ericsson. In 2007 he joined Stryker a global leading medical device manufacturer. After running a software development team there focusing on computer assisted surgery, he switched subject into biomechanics. He was responsible for a global R&D team developing implants for Craniomaxillofacial applications. Since 2014 Christoph oversees the Stryker site in Freiburg/Germany and another facility near Tuttlingen/Germany. In this function he is responsible as the General Manager for these sites but is also in charge of manufacturing in these locations. Due to his broad background, Christoph is highly interested in advancing the digital value change of products and services matching today’s customer needs.

Professor Dr. med. Christian Etz-picture

Professor Dr. med. Christian Etz

Personalisierte Medizin in der Aorten und Herzchirurgie

Innovation Center Computer Assisted Surgery (ICCAS), Clinical Advisor | Cardiac Surgery

Professor Dr. med. Christian Etz-picture

Personalisierte Medizin in der Aorten und Herzchirurgie

Innovation Center Computer Assisted Surgery (ICCAS), Clinical Advisor | Cardiac Surgery

Innovation Center Computer Assisted Surgery (ICCAS), Clinical Advisor | Cardiac Surgery

Organizers