Marko Bauer

Marko Bauer serves as a Lecturer at the Department of Computer Science, University of Copenhagen, contributing to the department's research and educational mission within the Faculty of Science. His academic profile is centered on interdisciplinary work bridging computer science and medical applications, with a physical office at Universitetsparken 1, 2100 Copenhagen Ø.

Bauer's research expertise lies in medical image analysis, specializing in deep learning applications for brain MRI processing. He develops innovative augmentation techniques to address data scarcity in neurological diagnostics, particularly focusing on ischemic stroke lesion segmentation. His methodological contributions include gamma distribution modeling and variational autoencoder frameworks for generating synthetic medical imagery, advancing the precision of computer-aided diagnosis systems in neurology.

Analysis of his recent publications reveals a concentrated research trajectory in medical AI, with two significant 2023-2024 publications demonstrating technical innovation in instance-specific MRI augmentation. These works exemplify cross-disciplinary collaboration between computer vision and clinical neuroscience, addressing critical challenges in medical image segmentation through novel generative approaches that enhance model robustness with limited training data.

As an integral member of DIKU's research ecosystem, Bauer aligns with the Image Analysis, Computational Modelling, and Geometry section and Machine Learning section. His work contributes to the department's broader engagement with the SCIENCE AI Centre, fostering synergies between theoretical computer science and real-world healthcare applications through collaborative projects with medical imaging specialists.