Archives: Thesis

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15DEC 2023
Ph.D. Gallery
Felix Meister
Deep Learning and Computational Modeling of Physiology Deep Learning (DL) and computational modeling (CM) could revolutionize the healthcare system by personalizing therapies to patients and enabling precision medicine (PM). While DL can automatically extract decision rules from large amounts of data, CM leverages known principles from physics and physiology to provide mechanistic insights into biophysical […]Deep Learning and Computational Modeling of Physiology Deep Learning (DL) and computational modeling (CM) could revolutionize the healthcare system by personalizing therapies to patients and enabling precision medicine (PM). While DL can automatically extract decision rules from large amounts of data, CM leverages known principles from physics and physiology to provide mechanistic insights into biophysical […]
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15DEC 2023
Ph.D. Gallery
Lukas Folle
Data-Driven Derivation of Rheumatological Disease Characteristics from Medical Images Rheumatologists have various tools at hand that allow characterizing the diseases of their patients. A multitude of those tools requires human annotation, which in some cases is time-intensive and error-prone. This poses a unique challenge, that can be addressed by modern pattern recognition advancements. In this […]Data-Driven Derivation of Rheumatological Disease Characteristics from Medical Images Rheumatologists have various tools at hand that allow characterizing the diseases of their patients. A multitude of those tools requires human annotation, which in some cases is time-intensive and error-prone. This poses a unique challenge, that can be addressed by modern pattern recognition advancements. In this […]
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14DEC 2023
News
New PhD student
Daniel Mosig received his Bachelor’s and Master’s degree in Medical Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg.In December 2023, he joined the Pattern Recognition Lab as a PhD student under the supervision of Prof. Andreas Maier.His current research in collaboration with the cardiology of Universitätsklinikum Erlangen focuses on estimating the left-ventricular ejection fraction using routine angiographic images.Daniel Mosig received his Bachelor’s and Master’s degree in Medical Engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg.In December 2023, he joined the Pattern Recognition Lab as a PhD student under the supervision of Prof. Andreas Maier.His current research in collaboration with the cardiology of Universitätsklinikum Erlangen focuses on estimating the left-ventricular ejection fraction using routine angiographic images.
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14DEC 2023
News
Joint Research Project “Coordinated Power Network Protection Based on Machine Learning Techniques”granted by DFG at FAU
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is thrilled to announce the approval of a significant research project by the German Research Foundation (DFG). The project, entitled “Coordinated Power Network Protection Based on Machine Learning Techniques” (Koordinierter Netzschutz auf Basis maschineller Lernverfahren), is a pioneering venture in the field of electrical energy systems and machine learning. Project Overview The […]Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is thrilled to announce the approval of a significant research project by the German Research Foundation (DFG). The project, entitled “Coordinated Power Network Protection Based on Machine Learning Techniques” (Koordinierter Netzschutz auf Basis maschineller Lernverfahren), is a pioneering venture in the field of electrical energy systems and machine learning. Project Overview The […]
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14DEC 2023
News
Pattern Recognition Lab shines in global citation ranking: Andreas Maier and Vincent Christlein among top 2% most-cited academics worldwide
We are happy to announce that Andreas Maier and Vincent Christlein are listed in the 2023 update of the 2% most-cited academics list created by Prof. Dr. John P.A. Ioannidis from Stanford University. It consists of citations from the year 2022. Our thanks go to our doctoral students and collaborators, without whom this would not […]
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12DEC 2023
News
Pattern Recognition Lab’s PhD candidate presents her research to the Minister for Education and Research
At the Digital Summit 2023, Nora Gourmelon, PhD candidate at the Pattern Recognition Lab, presented her award-winning research to the Federal Minister of Education and Research, Bettina Stark-Watzinger. About her research, Gourmelon says: “My research area is Green AI, where I am currently focusing on AI-based automation of glacier monitoring. With this automation, it will […]
Read more about Pattern Recognition Lab’s PhD candidate presents her research to the Minister for Education and Research