The Department Artificial Intelligence in Biomedical Engineering (AIBE) was established as part of the Hightech Agenda Bayern. The traditional chair structure has been abandoned in order to maximize internal exchange and cooperation. Artificial Intelligence research at AIBE is centered around the study and development of intelligent systems in medicine. Our research focuses on theoretical foundations as well as applications for future healthcare. Medical Robotics AIBE is active in all major areas of Medical Robotics, in particular in prosthetics, surgical robotics, rehabilitation robotics and virtual reality for gamification and rehabilitation. We also specifically focus on AI-based co-adaptation of users and devices, and AI-driven human-machine interaction. Imaging and Sensing Our research is dedicated to improving the effectiveness and reducing side effects of medical imaging and sensing technologies. We develop novel diagnostic biomarkers, imaging methodologies, and automated image analysis techniques for early detection of disease and optimal treatment. Health Data Science We advance methodological knowledge in the fields of biostatistics, epidemiology, public health, disease phenotyping, and medical informatics. Our aim is to contribute novel insights from observational health data to provide clinically actionable information for individual patients and to inform health policy on population level. #innovation #FAU #AIBE
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Nürnberger Straße 74
Erlangen, Bavaria 91052, DE
Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU hat dies direkt geteilt
Professor for Mathematics and Data Science, Managing Director at Department of Data Science, FAU Erlangen-Nürnberg
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Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU hat dies direkt geteilt
Assistant Prof // AI and Biomedical Signal Processing // Friedrich-Alexander-Universität Erlangen-Nürnberg
Our research environment has been shown being #Excellent. The Volkswagen Foundation shortlisted our Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU as one of the top 24 research environments in whole Germany, out of ~200 applications 😎 🥳 More information: https://lnkd.in/dk3VQtKG And thanks to the hard work from Alina Schüller Luisa Neubig René Groh Johanna P Müller 👏 #FAUproud FAU Erlangen-Nürnberg
Another great appointment: Today, we appointed José Bernal Moyano as Professor of Artificial Intelligence in Biomedical Engineering (Digital Health). José’s research focuses on cerebral small vessel disease — a condition affecting the tiny blood vessels in the brain. Using AI and MRI, he analyzes structural brain images to detect lesions, track their progression, and understand their causes. His goal: to improve prevention and treatment through data-driven insights. Welcome to Department Artificial Intelligence in Biomedical Engineering - AIBE@FAUwelcome to FAU Erlangen-Nürnberg, José!
Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU hat dies direkt geteilt
🚀 Leuchtturmprojekt für KI-Forschung in der Medizin – FAU stärkt Innovationsstandort Erlangen Künstliche Intelligenz wird in Erlangen Realität. In der Nürnberger Straße 74, im ehemaligen, komplett modernisierten Siemens-Gebäude, treibt die FAU Erlangen-Nürnberg seit kurzem neue wegweisende Forschungsprojekte voran: von KI-gestützter Diagnostik bis hin zu Reha-Robotik. Bei unserem Besuch gewährten uns Marlene Reuschel und Juliane Limper spannende Einblicke in die hochmodernen Labore und Arbeitswelten. 🙏 Der neue Standort bietet zunächst rund 150 Forschenden aus den Bereichen Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU , Data Science sowie Digital Humanities and Social Studies ideale Bedingungen für fachübergreifende Zusammenarbeit. Besonders stark: Die enge Kooperation mit Unternehmen wie Siemens Healthineers und dem Universitätsklinikum Erlangen schafft ein dynamisches Innovationsumfeld – direkt vor unserer Haustür. Mit Werkstätten, Seminarräumen und Platz für Austausch entsteht hier ein Ökosystem für die Medizin von morgen – interdisziplinär, vernetzt und praxisnah. 👉 Wir freuen uns, dass Erlangen als Forschungs- und Technologiestandort weiter gestärkt wird – mit klarem Fokus auf KI. So geht Zukunft in Erlangen! 💪 Stadt- und Kreissparkasse Erlangen Höchstadt Herzogenaurach AI, Artificial Intelligence in Healthcare, Life Sciences, Medical and Pharmaceutical Innovation https://lnkd.in/d3wSd4VD
Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU hat dies direkt geteilt
Chair of AI-supported Therapy Decisions, LMU & LMU Hospital / Co-PI @FAU & @Helmholtz Munich / Ex-Visiting Prof @Stanford U & @MIT & @HMS / Sports Enthusiast / Proud Father of Four
I am very happy to have been featured in a #podcast on the #Nuremberg #Trials by Bayerische Akademie der Wissenschaften. We use modern #artificial #intelligence methods to even better understand the historical documents and their implications for today. Exciting research with Christoph Safferling & Simone Derix! International Nuremberg Principles Academy FAU Erlangen-Nürnberg Helmholtz Munich
#Podcast: Angeklagte in der zweiten Reihe - Die Nürnberger Nachfolgeprozesse digital - Fast jeder kennt die Nürnberger Prozesse. Aber die Nachfolgeprozesse? Dabei sind sie enorm wichtig für das #Völkerrecht bis heute, z.B. der Wilhelmstraßenprozess, weiß Christoph Safferling (hier im Auszug zu hören), der neben Simone Derix und Bjoern Eskofier das Projekt "DigiNMT" leitet. Das Forschungsprojekt widmet sich in Zusammenarbeit der BAdW, der Generaldirektion der Staatlichen Archive Bayerns, des Staatsarchives Nürnberg, der International Nuremberg Principles Academy und der FAU Erlangen-Nürnberg der vollständigen digitalen Erschließung des Archivmaterials zu den Nürnberger Nachfolgeprozessen: 2,5 Millionen Blatt, darunter Zeugenaussagen, Anklageschriften, Stenogramme und Vernehmungsprotokolle. Diese werden so erstmals weltweit von überall aus zugänglich, für Forschende aus den Rechts- und Geschichtswissenschaften oder auch eine interessierte Öffentlichkeit. Mit Hilfe von Künstlicher Intelligenz werden die Bestände auch systematisch analysiert und durchsuchbar. Mehr dazu und ganze Folge: 🎧 https://lnkd.in/dqXiSKja
Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU hat dies direkt geteilt
🎁 Wrapping up Medical Imaging with Deep Learning (MIDL) 2025 in Salt Lake City (July 9–11), and what an inspiring conference it was! Our team from FAU Erlangen-Nürnberg, Mischa Dombrowski, Felix Nützel, and myself had the pleasure of presenting three full papers and one short paper, showcasing cutting-edge work in medical generative models, visual grounding, and trustworthy AI evaluation metrics. 🧠 A few highlights: 🔹 “Generate to Ground”: We showed how generative text-to-image diffusion models can outperform state-of-the-art discriminative methods in grounding medical phrases in images, doubling the accuracy of previous approaches! [Felix Nützel, Mischa Dombrowski, Bernhard Kainz] 🔹 “Can Diffusion Models Generalize?”: We introduced a new metric (t') for assessing privacy and fairness trade-offs in generative medical imaging models, which is key for secure synthetic data sharing. [Mischa Dombrowski, Bernhard Kainz] 🔹 “CRG Score”: A new clinically-aware metric for evaluating long radiology reports, addressing class imbalance and boosting interpretability. [Ibrahim Hamamci, Sezgin Er, Suprosanna Shit, Hadrien Reynaud, Bernhard Kainz, Bjoern Menze] 🔹 “Intelligent Lesion Selection”: A collaboration with Siemens Healthineers and Helsinki University Hospital on automated RECIST-like tracking of lung metastases in breast cancer. [Melika Qahqaie et al.] 💻 All projects were powered by Erlangen National High Performance Computing Center (NHR@FAU) new helma GPU cluster, demonstrating the impact of German supercomputing in AI for healthcare. We also had the chance to connect with fantastic researchers and old friends Daniel Rueckert, Ipek Oguz, Mirabela Rusu, Ronald Summers, Tal Arbel, Mattias Paul Heinrich, Mathias Unberath, Alessa Hering, Tolga Tasdizen, and many more brilliant PhD students. Huge thanks to the MIDL organizers for fostering such a vibrant, open scientific community. 🔗 Papers: https://lnkd.in/dzWazZPQ #MIDL2025 #MedicalImaging #DeepLearning #FAU #NHRFAU #GenerativeAI #AIinMedicine #Radiology #DiffusionModels #PrivacyFairness #AITrustworthiness #ResearchImpact #FAUErlangen #HTA
We are happy to have you Prof. Dr. Janina Beilner 🚀 Welcome Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU
Today, I appointed Dr. Janina Beilner as new Professor at our Faculty of Engineering. Janina is actively involved in our new Department of Artificial Intelligence in Biomedical Engineering at FAU Erlangen-Nürnberg. Her research focuses on the digital transformation of healthcare and the use of AI to improve patient care and medical processes. We’re proud to have her on board – combining academic excellence with real-world impact.
Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU hat dies direkt geteilt
Are you looking for opportunities to take the next step in your academic career? Are you interested in machine learning, medical imaging (and more), and interdisciplinary work? Come and join us! We have several exciting opportunities to work on both the PhD student and the postdoc level at the Center for AI and Data Science at Julius-Maximilians-Universität Würzburg! More information here: https://lnkd.in/euUX4_Rs (our website is currently still under construction, so more information about our work also here: https://lnkd.in/eNZmc8Tq
#acupwiththepresident #aibe Franziska Mathis-Ullrich Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU
🍵 A Cup with the President, featuring #FAUProf. Dr. Franziska Mathis-Ullrich: 🦿 The #robotics expert has the Professorship for Robotic Planning and Cognition in Surgery, and is working on expanding the area of application of modern #SurgicalRobotics in order to achieve an accurate and effective diagnosis, treatment and support for patients. She explains: "I have always been fascinated by robots - man-made technology that often appears lifelike and intelligent. The positive impact these intelligent machines will have on human healthcare are only going to increase in the future, especially when one combines multiple disciplines such as sensors, cognition and machine learning." ↪️ Click here to learn more about #FAUPresident Joachim Hornegger's visit: https://lnkd.in/gH5eYeEg #FAUResearch #ACupWithThePresident 📸 : FAU/Giulia Iannicelli
Department Artificial Intelligence in Biomedical Engineering - AIBE@FAU hat dies direkt geteilt
Professor, University of Erlangen-Nuremberg, Department of Artificial Intelligence in Biomedical Engineering
Very happy that our recent paper [1] published by the Journal of Neurophysiology received the distiction in scholarship by the American Physiological Society ! Thanks all for the great work, Daniela Souza de Oliveira leading the paper and all the rest of the team ! Dr. Matthias Ponfick The results are quite remarkable—despite functional paralysis, numerous motor units continue to exhibit activity akin to those in healthy muscles. This suggests a significant degree of preserved synaptic input, highlighting potential pathways for neuromuscular recovery. [1] The discharge characteristics of motor units innervating functionally paralyzedmuscles https://lnkd.in/e28QHWEs