IMSB is collaborating with various clinics within the UKE and external partners to find innovative solutions to different image analysis problems. Our main focus is on the automated analysis of medical imaging data, contributing to a deeper understanding of these diseases and eventually bringing tools into the clinic that can support pathologists’ and radiologists’ analyses we work with various types of imaging data, from tissue biopsies using classical as well as innovative microscopy technologies to magnetic resonance imaging.
Selected Projects
Prostate Cancer
In clinical practice, the diagnosis of Prostate cancer [...]
Members
Prof. Dr. Marina Zimmermann Team Lead Medical image analysis of histopathological and immunofluorescent microscopy images through segmentation,classification and survival prediction with fully and weakly supervised (deep) learning. Patrick Fuhlert PhD Student Survival Prediction with Deep Learning on Electronic Health Records. Fabian Westhäußer PhD Student Dr. Michael Brehler Project Manager / Imaging Scientist Advanced medical image analysis (mainly histology, CT and MRI), scientific consultation and project management Nico Kaiser PhD Student Nagalikhitha Reddipalli PhD Student |
Alumni
Dr. Esther Dietrich PhD Student Research on applying Deep Learning algorithms on histopathology images for survival prediction. Dr. Anne Ernst Postdoctoral Fellow Deep learning for medical data (Electronic Health Records, histopathological and radiological image data). Special focus on time-to-event/survival prediction and Clinical Decision Support. Constantin Holzapfel PhD Student Multi-omics data integration and data analysis, amyotrophic lateral sclerosis (ALS), web development Emma-Maria Efremova Master Student Jannick Tietjens Bachelor Student Deep learning-based segmentation of immunofluorescence and histopathology images. Ann-Katrin Thebille Master Student and Research Assistant Laura Wenderoth Bachelor Student Deep learning-based analysis of immunofluorescence and histopathology images. Malte Kuehl Medical Doctoral Student Bioinformatic analysis of high-dimensional medical image data, weakly-supervised deep learning for segmentation and classification, tooling for image postprocessing, annotation and integrated analysis pipelines. Martin Klaus Medical Doctoral Student |
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