The 10th IASTED International Conference on
Signal Processing, Pattern Recognition and Applications
February 12 – 14, 2013
Computational Analysis for Medical Imaging
The computational analysis of biomedical imaging data has become central in medical research and clinical application. The talk will highlight two recent developments that might shape research in this area in the near future. The advent of the capability to process large data - hundreds of terabytes - has changed paradigms in how we approach classical pattern recognition problems in this domain. Medical research fields that rely on exploratory approaches together with large and complex data to study and understand physiological processes are increasingly shaped by a tight interaction among researchers in machine learning and medical sciences. In the talk I will discuss these directions, will highlight open issues, and will illustrate them with examples from medical image retrieval, and neuroimaging research and clinical application.
Biography of the Keynote Speaker
Georg Langs is head of the Computational Image Analysis and Radiology Lab at Medical University of Vienna. He is assistant professor at Medical University of Vienna, and research affiliate at the Computer Science and Artificial Intelligence Lab, MIT. He graduated from Vienna University of Technology (MSc) and Graz University of Technolgy (PhD), held a post-doctoral position at Ecole Centrale de Paris, France, and was Research Scientist at the Computer Science and Artificial Intelligence Lab at MIT. Georg Langs research interests are in medical image analysis, large scale image data understanding, and the research area where neuroimaging and machine learning meet.