Index

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...

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....

From January 25-30, 2025, Moritz Schillinger attended the SPIE Photonics West conference in San Francisco, where he presented his work on Automatic Muscle Segmentation for the Diagnosis of Peripheral Artery Disease Using Multispectral Optoacoustic Tomography. This research focuses on facilitating th...

Fateme Atayi joined the AIMI/CAIDAS lab as a PhD student in February 2025. She holds a Master’s degree in Computational Engineering from FAU Erlangen-Nürnberg, with specialization in medical image and data processing. During her master’s studies, she focused on applying deep learning techniques to a...

Sweta Banerjee joined HS-Flensburg as a PhD student under the supervision of Marc Aubreville (Hochschule Flensburg) and Katharina Breininger. She holds a Master’s degree in Mathematics and Computing from Banaras Hindu University, India. At HS-Flensburg, she contributes to the MUROMI project, which f...

Knowing about the positive impact of outdoor activities, the AIMI members gathered for their summer hike in July. After an eventful journey by bus and train, we finally managed to collect all team members in Gräfenberg and set off on the well-known 17km trail through Frankonian forests and hills. ...

Moritz Schillinger joined the AIMI Lab as a PhD student in December 2023. He completed his M.Sc. in Medical Engineering from Université Grenoble Alpes and Friedrich-Alexander-Universität Erlangen-Nürnberg in 2023. In his master’s thesis, he worked on predicting pressure ulcer risks using machine lea...

At this year’s “International Conference on Medical Image Computing and Computer Assisted Intervention” (MICCAI), AIMI researcher Jingna Qiu presented her recent work on adaptive region selection, a novel active learning method for determining informative image regions from the gigapixel-sized whole...

At this year's workshop "Bildverarbeitung für die Medizin" (BVM) AIMI and AIMI-affiliated researcher and students presented their work on different topics across (bio)-medical imaging. Jonas Utz presented McLabel, a local thresholding tool for efficient semi-automatic labelling of cells in fluores...