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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 ...

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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 ...

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On March 29th and March 30th, members of the Computational Imaging Lab visited the Center for Intelligent Imaging at University of California San Francisco (UCSF) as part of a delegation from FAU. The visit was the kick-off event for a new strategic cooperation between UCSF and FAU and we had an exc...

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Our lab just received funding for a new DFG project in a joint effort with the Image Data Exploration and Analysis Lab (Prof. Bernhard Kainz). The project’s purpose is to merge machine learning for image reconstruction and image-based disease localization into a cohesive framework, thus providing an...

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Our new paper, “Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI,” was just published in the journal Radiology (Impact factor 29), together with a great editorial by Dr. Frank Roemer. It is the first demonstration that a deep learning method for MR image reconstructio...

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Our new paper, “Exploring the Acceleration Limits of Deep Learning Variational Network–based Two-dimensional Brain MRI,” was just published in the journal Radiology: Artificial Intelligence. The paper explores the performance of machine learning reconstruction models for 2D images at accelerations a...

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Welcome to the Computational Imaging Lab at the Department Artificial Intelligence in Biomedical Engineering at FAU. We are located at Werner von Siemens Strasse 61 (2nd and 3rd floor), 91052 Erlangen.

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