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21.
Saudargiene, A.* et al.: Preface. Lect. Notes Comput. Sc. 16068 LNCS, v-vii (2026)
22.
Saudargiene, A.* et al.: Preface. Lect. Notes Comput. Sc. 16070 LNCS, v-vii (2026)
23.
Saudargiene, A.* et al.: Preface. Lect. Notes Comput. Sc. 16072 LNCS, v-vii (2026)
24.
Scholz, D.* et al.: Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method. In: (28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, 23-27 September 2025, Daejeon). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2026. 100-110 (Lect. Notes Comput. Sc. ; 15965 LNCS)
25.
Scholz, D.* et al.: MM-DINOv2: Adapting foundation models for multi-modal medical ímage analysis. In: (28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, 23-27 September 2025, Daejeon). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2026. 320-330 (Lect. Notes Comput. Sc. ; 15967 LNCS)
26.
Skorupko, G.* et al.: Fairness-Aware Data Augmentation for Cardiac MRI Using Text-Conditioned Diffusion Models. In: (3rd International Workshop on Fairness of AI in Medical Imaging, FAIMI 2025, held in Conjunction with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, 23 September 2025, Daejeon). 2026. 63-73 (Lect. Notes Comput. Sc. ; 15976 LNCS)
27.
Tetko, I.V. ; Godin, G.* ; Jablonka, K.M.* ; Mirza, A.* & Patiny, L.*: Consensus prediction of chemical reactions with OCHEM-R platform. In: (Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions). 2026. 45-52 (Lect. Notes Comput. Sc. ; 16072 LNCS)
28.
Wong, C.K.C.* et al.: Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. In: (28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, 23-27 September 2025, Daejeon). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2026. 293-303 (Lect. Notes Comput. Sc. ; 15966 LNCS)
29.
Yang, C.* ; Deutges, M. ; Navab, N.* ; Sadafi, A. & Marr, C.: Hierarchical Neural Cellular Automata for Lightweight Microscopy Image Classification. In: (29th International Conference on Information Processing in Medical Imaging, IPMI 2025, 25-30 May 2025, Kos). 2026. 19-32 (Lect. Notes Comput. Sc. ; 15829 LNCS)
30.
Yang, C. et al.: Attention Pooling Enhances NCA-Based Classification of Microscopy Images. In: (Machine Learning in Medical Imaging). 2026. 583 - 593 (Lect. Notes Comput. Sc. ; 16241 LNCS)
31.
Zedda, L.* ; Loddo, A.* ; Di Ruberto, C.* & Marr, C.: RedDino: A Foundation Model for Red Blood Cell Analysis. In: (28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, 23-27 September 2025, Daejeon). 2026. 445-455 (Lect. Notes Comput. Sc. ; 15963 LNCS)
32.
Alaya, M.B.* ; Lang, D. ; Wiestler, B.* ; Schnabel, J.A. & Bercea, C.-I.: MedEdit: Counterfactual diffusion-based image editing on brain MRI. In: (Simulation and Synthesis in Medical Imaging). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 167-176 (Lect. Notes Comput. Sc. ; 15187 LNCS)
33.
Chobola, T. ; Liu, Y.* ; Zhang, H. ; Schnabel, J.A. & Peng, T.: Fast context-based low-light image enhancement via neural implicit representations. In: (Computer Vision – ECCV 2024). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 413-430 (Lect. Notes Comput. Sc. ; 15144)
34.
Daum, D. et al.: On differentially private 3D medical image synthesis with controllable latent diffusion models. In: (Deep Generative Models). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 139-149 (Lect. Notes Comput. Sc. ; 15224 LNCS)
35.
Daza, L. & Schnabel, J.A.: DiENTeS: Dynamic ENTity segmentation with local-global transformers. In: (Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data). 2025. 21-29 (Lect. Notes Comput. Sc. ; 15571 LNCS)
36.
Demirbilek, O.* ; Peng, T. & Bessadok, A.: Graph residual noise learner network for brain connectivity graph prediction. In: (Graphs in Biomedical Image Analysis). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 23-32 (Lect. Notes Comput. Sc. ; 15182)
37.
Duelmer, F. et al.: PHOCUS: Physics-based deconvolution for ultrasound resolution enhancement. In: (Simplifying Medical Ultrasound). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 35-44 (Lect. Notes Comput. Sc. ; 15186 LNCS)
38.
Durrer, A.* et al.: Denoising diffusion models for 3D healthy brain tissue inpainting. In: (Deep Generative Models). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 87-97 (Lect. Notes Comput. Sc. ; 15224 LNCS)
39.
Farjallah, E.* et al.: Affordable deep learning for diagnosing inherited and common retinal diseases via color fundus photography. In: (Ophthalmic Medical Image Analysis). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 83-93 (Lect. Notes Comput. Sc. ; 15188 LNCS)
40.
Garrucho, L.* et al.: Fat-suppressed breast MRI synthesis for domain adaptation in tumour segmentation. In: (Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 202-211 (Lect. Notes Comput. Sc. ; 15451 LNCS)
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