Allgemein

Ahmed Aboelela joined the Pattern Recognition group at CAIDAS as a PhD Student under the supervision of Prof. Dr.-Ing. Katharina Breininger in December 2025. He holds a Master’s degree in Artificial Intelligence from Friedrich-Alexander University Erlangen-Nürnberg. His background lies in Computer V...

At this year’s International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025), our PR@CAIDAS/AIMI@FAU researchers shared exciting new advances in medical imaging and AI: Maja Schlereth presented her latest work on self-supervised super-resolution, enabling the g...

From October 27–28, the PR- and AIMI-lab took part in the Bavarian Conference on AI in Medicine, held at the Bavarian Academy of Sciences and Humanities in Munich. The event brought together researchers from across Bavaria to discuss the latest developments at the intersection of artificial intellig...

Xingjian Kang joined the Pattern Recognition group at CAIDAS as a PhD Student under the supervision of Prof. Dr.-Ing. Katharina Breininger in October 2025. He holds a Master’s degree in Medical Engineering from Friedrich-Alexander University Erlangen-Nürnberg, Germany, where his thesis focused on LL...

In September, AIMI member Anne Tjorven Büßen presented her work titled "Insights into Workflow Phase Recognition in Interventional Neuroradiology” at this year’s annual CURAC meeting in Heidelberg. Engaging with researchers specializing in the fields of computer- and robot-assisted interventions...

For the first time since Katharina took over the Professorship for Pattern Recognition at Julius-Maximilians-Universität, this year's PR-AIMI summer social event took us to the Würzburg region. During our hike through the vineyards, we enjoyed beautiful views over the Main valley and cooled off with...

At this year's EULAR European Congress of Rheumatology, AIMI researcher Maja Schlereth presented her latest abstract entitled "Development of a Deep Learning-Based Tool for the Automated Grading of Synovitis and Classification of Arthritis Using Ultrasound Imaging". The work focuses on the use of...

At this year’s BVM workshop, AIMI researchers and students showcased their work on diverse medical imaging topics. Jingna Qiu showcased her work on prototype sampling via text-to-image retrieval to reduce the annotation effort in histopathological tasks. AIMI-affiliated researcher  Sweta Baner...

Our partner research group led by Marc Aubreville recently hosted the first Flensburg Symposium on Human-Computer Interaction and Deep Learning. AIMI researcher Jingna Qiu delivered a talk titled "Human-Machine Collaboration: Active Learning to Enhance Annotation Impact." In her presentation, she h...

On January 23rd, former AIMI member Frauke Wilm successfully defended her dissertation “Cross-Domain Generalization of Deep Learning-Based Image Analysis Algorithms in Histopathology”. Her research was conducted in collaboration with Merck KGaA and embedded in the CRC 1540 Exploring Brain Mechanics....