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Welcome to the Computational Imaging Lab!
Researchers at the Computational Imaging Lab work on advancing medical imaging through the development of novel MRI techniques and machine learning methods. Our focus lies in improving image quality, accelerating scan times, and enabling new clinical applications in areas such as musculoskeletal, cardiac, and abdominal imaging.
Earlier this month, we held our very first joint retreat together with the Smart Imaging Lab led by Prof. Dr. Jana Hutter. The goal of this two-day retreat in Ansbach was to explore opportunities for collaboration between our groups and to strengthen connections across labs.
The program combined...
We are very excited to announce that our lab just received funding from DFG for a new 3-year research project. The goal of this joint project with the Department of Radiology (Armin Nagel and Rafael Heiß) it to develop an approach for MR imaging of orthopedic implants with reduced metal artifacts at...
We are excited to share that our latest research, "Deep Learning‐Based Accelerated MR Cholangiopancreatography Without Fully‐Sampled Data", has been published in NMR in Biomedicine! (http://DOI: 10.1002/nbm.70002)
This study demonstrates how deep learning(DL)-based reconstructions can significa...
We are very happy to announce that Marc Vornehm's paper "CineVN: Variational network reconstruction for rapid functional cardiac cine MRI" was chosen as an MRM editor's pick for January 2025.
We developed a machine learning reconstruction for cardiac cine MRI and validated it with the estimation ...
We are happy to announce that our latest publication "CineVN: Variational network reconstruction for rapid functional cardiac cine MRI" (https://onlinelibrary.wiley.com/doi/10.1002/mrm.30260) has been published in Magnetic Resonance in Medicine!
We demonstrate fast inline reconstructions of high-...
