State-of-the-art and Future of Medical Image Computing

MICCAI 2015 Symposium
State-of-the-art and Future of Medical Image Computing
and Computer Assisted Interventions
May 18, 2015 I 09.00am - 05.30pm
Zentralinstitut für Medizintechnik (IMETUM) I Lecture Hall E.126
As part of MICCAI 2015 organization, we have the honor to host world experts from the program committee of MICCAI 2015 in this inspiring
scientific event on Monday May 18th, 2015 in Garching, Germany. In this symposium, invited speakers will share their scientific vision for
future based on current and planned research in their groups, which will be followed by discussions about how research in the scope of MICCAI
may evolve and how the MICCAI community can make a bigger translational impact of methods and systems to both the clinical and industrial
sectors.
The event will provide the audience the chance to interact closely with the expert presenters. Do not miss this unique chance and be a part
of this symposium where you will meet international leaders in the field of Medical Image Computing and Computer Assisted Interventions.
The event is organized in collaboration of Chair for Computer Aided Medical Procedures (CAMP) / TUM (Munich), TUM Graduate School of
Information Science in Health (GSISH), Erlangen Graduate School in Advanced Optical Technologies (SAOT) and Lehrstuhl für Mustererkennung
(LME) / FAU (Erlangen-Nuremberg).
PROGRAM
9:00 Opening and Introduction
Nassir Navab
Technische Universität München, Germany
02:00 Professor and Entrepreneur
Franjo Pernuš
University of Ljubljana, Slovenia
9:15 Marginal Space Learning for Efficient Detection/Segmentation
of 2D/3D Anatomical Structures in Medical Images
Yefeng Zheng
Siemens Corporate Research, USA
02:30 Overview of the Image Guided Therapy Program at Brigham
and Women’s Hospital
William (Sandy) Wells
Harvard Medical School, USA
9:45 Large-scale Machine Learning-driven Medical Imaging
for Clinical Decision Support
Tanveer Syeda-Mahmood
IBM Research, USA
03:00 High-Performance Dual Optimization Methods
to Medical Image Analysis
Jing Yuan
Robarts Research Institute, Canada
10:15 Learning the Model: Combining Machine Learning and Image Processing
for Fusion, Segmentation or Motion Modelling
Mattias Paul Heinrich
University of Lübeck, Germany
03:30 Coffee Break
10:45 Coffee Break
04:00 Heterogeneous Cascades Go Deeper for Computer-aid Detection and
Organ Segmentation: Integrating Shallow and Deep Learning
Le Lu
National Institute of Health, USA
11:00 A Computer Vision Framework for Clinical Activity Analysis
in the Hybrid Operating Room
Nicolas Padoy
University of Strasbourg, France
04:30 Brain Segmentation Across Scanner Platforms and Imaging Protocol
Koen van Leemput
Massachusetts General Hospital, USA
Technical University of Denmark, Denmark
11:30 Visual Lifelogging: Using Non-medical Images for Medical Purposes
Petia Radeva
Universitat de Barcelona, Spain
05:00 Toward Medical Image Analysis without Segmentation
Shuo Li
GE Healthcare, Canada
12:00 Robot-guided Laser Osteotomy: The Future of Bone Surgery?
Philippe C. Cattin
University of Basel, Switzerland
05:30 Closing Words
12:30 Lunch Break
Registration and Further Information:
http://campar.in.tum.de/files/symposium-miccai/
©MICCAI 2015 I Conceptual Design & Layout: Katharina Lang I Picture: fotolia, 2015