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61.
Mykula, H.* et al.: Diffusion models for unsupervised anomaly detection in fetal brain ultrasound. In: (Simplifying Medical Ultrasound). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 220-230 (Lect. Notes Comput. Sc. ; 15186 LNCS)
62.
Nappi, A. ; Cai, N. & Casale, F.P.: Bayesian aggregation of multiple annotations enhances rare variant association testing. In: (Research in Computational Molecular Biology). 2025. 428-431 (Lect. Notes Comput. Sc. ; 15647 LNBI)
63.
Osuala, R. et al.: Enhancing the utility of privacy-preserving cancer classification using synthetic data. In: (Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 54-64 (Lect. Notes Comput. Sc. ; 15451 LNCS)
64.
Rasheed, H. et al.: Learning to match 2D keypoints across preoperative MR and intraoperative ultrasound. In: (Simplifying Medical Ultrasound). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 78-87 (Lect. Notes Comput. Sc. ; 15186 LNCS)
65.
Riess, A. et al.: Complex-valued federated learning with differential privacy and MRI applications. In: (Medical Image Computing and Computer Assisted Intervention – MICCAI 2024). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 191-203 (Lect. Notes Comput. Sc. ; 15274 LNCS)
66.
Singhi, N.* ; Kim, J.M.* ; Roth, K.* & Akata, Z.: Improving intervention efficacy via concept realignment in concept bottleneck models. In: (Computer Vision – ECCV 2024). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 422-438 (Lect. Notes Comput. Sc. ; 15084 LNCS)
67.
Torren Peraire, P. et al.: Improving route development using convergent retrosynthesis planning. In: (1st International Workshop on AI in Drug Discovery (AIDD)). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2025. 165-166 (Lect. Notes Comput. Sc. ; 14894)
68.
Bercea, C.-I. ; Wiestler, B.* ; Rueckert, D.* & Schnabel, J.A.: Diffusion models with implicit guidance for medical anomaly detection. In: (27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024, 06-10 October 2024, Marrakesh, Morocco). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2024. 211-220 (Lect. Notes Comput. Sc. ; 15011)
69.
Christensen, A.* et al.: Geometry fidelity for spherical images. In: (Computer Vision – ECCV 2024). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2024. 276-292 (Lect. Notes Comput. Sc. ; 15138)
70.
Clevert, D.A.* ; Wand, M.* ; Malinovská, K.* ; Schmidhuber, J.* & Tetko, I.V.: Preface. Lect. Notes Comput. Sc. 14894 LNCS, v-vi (2024)
71.
De Benetti, F.* et al.: CloverNet – Leveraging planning annotations for enhanced procedural MR segmentation: An application to adaptive radiation therapy. In: (Clinical Image-Based Procedures). 2024. 1-10 (Lect. Notes Comput. Sc. ; 15196 LNCS)
72.
Deutges, M. ; Sadafi, A. ; Navab, N.* & Marr, C.: Neural cellular automata for lightweight, robust and explainable classification of white blood cell images. In: (Medical Image Computing and Computer Assisted Intervention – MICCAI 2024). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2024. 693-702 (Lect. Notes Comput. Sc. ; 15003)
73.
di Folco, M. ; Bercea, C.-I. ; Chan, E. & Schnabel, J.A.: Interpretable representation learning of cardiac MRI via attribute regularization. In: (Medical Image Computing and Computer Assisted Intervention – MICCAI 2024). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2024. 492-501 (Lect. Notes Comput. Sc. ; 15010)
74.
Eichhorn, H. et al.: Physics-informed deep learning for motion-corrected reconstruction of quantitative brain MRI. In: (Medical Image Computing and Computer Assisted Intervention – MICCAI 2024). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2024. 562-571 (Lect. Notes Comput. Sc. ; 15007)
75.
Erdur, A.C.* et al.: All Sizes Matter: Improving volumetric brain segmentation on small lesions. In: (Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2024. 177-189 (Lect. Notes Comput. Sc. ; 14669 LNCS)
76.
Fischer, S.M. et al.: Progressive growing of patch size: Resource-efficient curriculum learning for dense prediction tasks. In: (Medical Image Computing and Computer Assisted Intervention – MICCAI 2024). 2024. 510-520 (Lect. Notes Comput. Sc. ; 15009 LNCS)
77.
Galter, I. ; Schneltzer, E. ; Marr, C. ; Spielmann, N. & Hrabě de Angelis, M.: EchoVisuAL: Efficient Segmentation of Echocardiograms Using Deep Active Learning. In: (Medical Image Understanding and Analysis). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2024. 366-381 (Lect. Notes Comput. Sc. ; 14860 LNCS)
78.
Gräf, L. ; Sens, D. ; Shilova, L. & Casale, F.P.: Disease risk predictions with differentiable mendelian randomization. In: (Research in Computational Molecular Biology). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2024. 385-389 (Lect. Notes Comput. Sc. ; 14758 LNCS)
79.
Hartog, P. et al.: Registries in Machine Learning-Based Drug Discovery: A Shortcut to Code Reuse. In: AI in Drug Discovery. Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2024. 98-115 (Lect. Notes Comput. Sc. ; 14894 LNCS)
80.
Koch, V. et al.: DinoBloom: A foundation model for generalizable cell embeddings in hematology. In: (Computer Vision and Pattern Recognition). 2024. 520-530 (Lect. Notes Comput. Sc. ; 15012 LNCS)
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