Research Group: Learning Algorithms for Medical Big Data Analysis

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29SEP 2025
News
Pattern Recognition Lab Researchers Again Among World’s Top 2% Most-Cited Academics
We are delighted to share that Andreas Maier and Vincent Christlein have once again been recognized among the top 2% of most-cited academics worldwide, as listed in the annual update curated by Prof. Dr. John P.A. Ioannidis (Stanford University). This marks (at least) the third consecutive year they have been included in this prestigious list. […]
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26SEP 2025
News
DFG funds new project at the Pattern Recognition Lab on deep learning–based CBCT reconstruction
The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) has received funding from the Deutsche Forschungsgemeinschaft (DFG) for a new research project entitled “Deep-Learning-basierte CBCT-Rekonstruktion beliebiger Trajektorien”. The project, led by Professor Dr.-Ing. Andreas Maier, will run for 36 months with a funding volume of 324,459 Euro. The research aims to develop next-generation algorithms for cone-beam computed tomography […]The Pattern Recognition Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) has received funding from the Deutsche Forschungsgemeinschaft (DFG) for a new research project entitled “Deep-Learning-basierte CBCT-Rekonstruktion beliebiger Trajektorien”. The project, led by Professor Dr.-Ing. Andreas Maier, will run for 36 months with a funding volume of 324,459 Euro. The research aims to develop next-generation algorithms for cone-beam computed tomography […]
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23SEP 2025
News
“(Dis)Honest Communication”: Tomás Arias Receives ISF-DFG Grant for Research on the Vocalizations of Rock Hyraxes
Awawah! In the animal world, the ability to evaluate conspecifics in social interactions is vital for survival. For instance, male-male counter-singing and choruses may allow for the assessment of opponents and avoid fighting, settle territorial disputes, attract potential mates, or block competitor signals. Consequently, social animals’ brains are wired to extract honest information on identity, personality characteristics, […]Awawah! In the animal world, the ability to evaluate conspecifics in social interactions is vital for survival. For instance, male-male counter-singing and choruses may allow for the assessment of opponents and avoid fighting, settle territorial disputes, attract potential mates, or block competitor signals. Consequently, social animals’ brains are wired to extract honest information on identity, personality characteristics, […]
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18SEP 2025
News
The Pattern Recognition Lab at MICCAI 2025
The Pattern Recognition Lab will showcase a strong presence at MICCAI 2025 in Daejeon, South Korea, with contributions across all tracks including the main conference, workshops, challenges, CLINICCAI, open data, and the PhD consortium. Highlights include new methods for X-ray imaging, CT artifact reduction, chest X-ray disease classification, mammogram lesion detection, and award-winning results in international challenges.The Pattern Recognition Lab will showcase a strong presence at MICCAI 2025 in Daejeon, South Korea, with contributions across all tracks including the main conference, workshops, challenges, CLINICCAI, open data, and the PhD consortium. Highlights include new methods for X-ray imaging, CT artifact reduction, chest X-ray disease classification, mammogram lesion detection, and award-winning results in international challenges.
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18SEP 2025
News
New PhD Student: Michael Simo Joins the PRL
Michael Simo received his Master’s degree in Medical Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg in March 2025 and his Bachelor’s degree in Medical Engineering from Rheinahrcampus of the University of Applied Sciences Koblenz. In April 2025, he joined the Pattern Recognition Lab as a Ph.D. student under the supervision of Prof. Dr.Ing. habil. Andreas Maier. His research, […]Michael Simo received his Master’s degree in Medical Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg in March 2025 and his Bachelor’s degree in Medical Engineering from Rheinahrcampus of the University of Applied Sciences Koblenz. In April 2025, he joined the Pattern Recognition Lab as a Ph.D. student under the supervision of Prof. Dr.Ing. habil. Andreas Maier. His research, […]
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15SEP 2025
News
Nico Meyer Wins Best Talk Award at ML4QT Symposium
In mid-July, Nico Meyer and his colleagues from Fraunhofer IIS participated in the “Symposium on Machine Learning to Advance Quantum Technologies (ML4QT)” held in Heilbronn. Over the course of three days, the symposium featured keynotes, invited talks, contributed presentations, and poster sessions exploring the intersection of machine learning and quantum computing. We are proud to […]
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