CAIM teams are presenting a wealth of results, together with code releases in the area of machine learning and medical imaging at this years MICCAI and the connected workshops.
Ten papers, some of them with code releases were published by CAIM teams at the MICCAI'25 and connected workshops in September 2025. They range from treatment response predictionin breast cancer, to ophtalmic image analysis, anomaly detection, hist-pathology mosaicing or coping with missing modalities. Have a look, and try out the tools:
- R. Fecso, J. Morano, U. Schmidt-Erfurth, H. Bogunovic. RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models in Proc. of MICCAI'25.
paper | code - I Janíčková, Y Y. Tan, T H. Helbich, K Miloserdov, Z Bago-Horvath, U Heber, G Langs. Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer. in Proc. MICCAI'25
paper | code - B. Fazekas, T. Pinetz, G. Aresta, T. Emre, H. Bogunovic. GARD: Gamma-based Anatomical Restoration and Denoising for Retinal OCT. in Workshop on Ophthalmic Image Analysis (OMIA)
paper - B Mitic, P Seeböck, H Prosch, G Langs. AREPAS: Anomaly Detection in Fine-Grained Anatomy with Reconstruction-Based Semantic Patch-Scoring. in Proc. MICCAI-MLMI'25
paper - J Pan, P Seeböck, C Fürböck, S Pochepnia, J Straub, L Beer, H Prosch, G Langs. Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery. in Proc. MICCAI-AMAI'25
paper - C Fürböck, P Weiser, B Mitic, P Seeböck, T Helbich, G Langs. No Modality Left Behind: Dynamic Model Generation for Incomplete Medical Data. in Proc. MICCAI-ML-CDS'25
paper - J Tischer, P Kienast, M Stümpflen, G Kasprian, G Langs, R Licandro. Conditional Fetal Brain Atlas Learning for Automatic Tissue Segmentation. In Proc. MICCAI-PIPP'25
paper - T Ciceri, M Stuempflen, J Tischer, G Kasprian, D Peruzzo, R Licandro. FetGEs: A Deep Learning Approach for Fetal MRI Ganglionic Eminence Segmentation. In Proc. MICCAI-PIPP'25
paper - S Brandstätter, M Köller, P Seeböck, A Blessing, F Oberndorfer, S Pochepnia, H Prosch, G Langs. Semantic Mosaicing of Histo-Pathology Image Fragments using Visual Foundation Models. In Proc. MICCAI-CIMPAYL'25
paper - M Kamran, M Bernathova, R Varga, C F. Singer, Z Bago-Horvath, T Helbich, G Langs, P Seeböck. LesiOnTime - Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI. In Proc. MICCAI-DeepBreath'25
paper | code