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Our lecture, 'Computational Magnetic Resonance Imaging,' for the 2023/2024 winter semester has been ranked as the second-best out of 69 lectures in the 'Elective Lectures at the School of Engineering' category. This ranking was determined based on student evaluations. It's a great honor for us, a...

We are happy to announce that our manuscript "How AI May Transform Musculoskeletal Imaging" (https://pubs.rsna.org/doi/10.1148/radiol.230764) just got published in Radiology. This was a joint effort with colleagues from Boston University, University of Lausanne, University Paris Cité, NYU, Clinique ...

We are very happy to announce that our most recent manuscript (https://doi.org/10.1162/imag_a_00085) has just been published in early view in Imaging Neuroscience. We introduced a novel diffusion MRI acquisition and reconstruction approach for ultra-high field (7T) imaging. Our method consists of a ...

We are happy to announce that our lab just has received funding for a new DFG project as part of our new DFG research unit (RU) “Fast Mapping of Quantitative MR biosignatures at Ultra-high Magnetic Field”. In our joint subproject together with Frederik Laun , we will develop DWI and QSM at 7T with u...

Zhengguo's exceptional work in the field of medical imaging stood out among a pool of talented individuals and secured him the second-place award in the ISMRM Reproducible Research MR-Pub competition. His groundbreaking software for high-resolution 7T diffusion MRI has an impact that extends beyond ...