MICCAI 2025

The annual MICCAI conference is a forum for world leading biomedical scientists, engineers, and clinicians from a wide range of disciplines associated with medical imaging and computer assisted intervention.

MICCAI 2025 will be held from Tuesday September 23rd to Saturday September 27th 2025 in Daejeon, Republic of Korea. This will be the first MICCAI conference hosted in Korea. The conference includes three days of presentations and poster sessions as well as satellite events like workshops, tutorials, and challenges.
 

Fraunhofer MEVIS will be represented with the following contributions:

Tutorial & Workshop

Eike Petersen, co-organizer

"Fairness of AI in Medical Imaging"

Tuesday, September 23
Time: 08:00 – 12:30 and 13:30 – 18:00
Room: DCC1-1F-111

Challenge Organization

Temke Kohlbrandt, co-organizer

"Automated Lesion Segmentation in Whole-Body PET/CT and Longitudinal CT"

Saturday, September 27
Time: 13:30
Room: IBS-3F-R1-R3

Markus Wenzel and Lars Ole Schwen, co-organizer

"ODELIA Breast MRI Challenge"    (Deep-Breath workshop at MICCAI 2025)

Tuesday, September 23
Time: 14:35–15:35

Challenge Results

UNICORN Lighthouse Challenge to assess the performance of multimodal foundation models in medical imaging across multiple clinical tasks: The Fraunhofer MEVIS team with Raphael Schäfer, Till Nicke, and Johannes Lotz won the overall rating as well as in the categories pathology and radiology. 

MAMA-MIA Challenge to advance generalizability and fairness in breast MRI tumor segmentation and treatment response prediction: The Fraunhofer MEVIS team with Kai Geissler and Raphael Schäfer won second position out of 20 participants on Task 1 (Primary Tumor Segmentation on Breast Dynamic Contrast-Enhanced MRI) and second position out of 15 participants on Task 2 (Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy).

In addition, Fraunhofer MEVIS researchers Lisa Bautz and Johanna Brosig participated in the CARE-WHS Challenge on Whole Heart Segmentation (Results: Tba)

Poster

Poster Award in the Workshop Fairness of AI in Medical Imaging (FAIMI): Dishantkumar Sutariya and Eike Petersen were awarded for their poster and paper meval: A Statistical Toolbox for Fine-Grained Model Performance Analysis.