Hinrich B. Winther, Dr. med.
is a physician at the Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany. He conducts research in the areas of machine learning and machine vision. He mainly uses techniques from the field of neural networks and Deep Learning, as well as from traditional, supervised machine learning. He is a major contributor to a project funded by the German Research Foundation for the development of a procedure for lung perfusion measurement using Big Data methods and participates in the research program "Researchers for the Future" of the German Radiological Society.
Christian Hundt, Dr. rer. nat.
has received his diploma degree in theoretical physics for the analysis of quantization maps and the associated structure of Lie groups on curved manifolds at the University of Mainz, Germany. In his current position, as a postdoctoral researcher at the Parallel and Distributed Architectures group, he investigates the design and parallelization of elastic subsequence alignment algorithms using CUDA-enabled accelerators. Further topics of interest involve metagenomic classification of DNA, image segmentation of medical data sets using Deep Learning and the efficient analysis of spatio-temporal data.