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![]() Daniel Stromer M. Sc.Researcher in the Learning Approaches for Medical Big Data Analysis (LAMBDA) group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-NürnbergContact
Room: 09.153 Phone: E-Mail: daniel.stromer(at)fau.de Research Areas
Document Analysis Within my research project " Non-destructive Testing Closely related to my PhD project, I am also highly interested in image processing and machine-vision algorithms for non-destructive testing of materials and goods. This includes 3-D reconstruction, image/volume processing and segmentation algorithms. I mainly work with X-ray CT, however, I am also interested in other technologies such as Terahertz or Ultrasound. Medical Imaging After 10 years of working in the field of healthcare engineering, I am still highly interested in the ongoing research. My Bachelor's and Master's theses were in collaboration with Siemens Healthcare where I tried to increase the quality of 3-D Scans and integrated a predictive maintenance system for C-arm CT's. At the moment, I am an exchange visitor for seven months at the Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT) working on segmentation/machine-vision algorithms for Optical Coherence Tomography (OCT). |