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41.
Sadafi, A. et al.: A continual learning approach for cross-domain white blood cell classification. In: (Domain Adaptation and Representation Transfer). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2024. 136-146 (Lect. Notes Comput. Sc. ; 14293 LNCS)
42.
Spieker, V. et al.: ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space. In: Deep Generative Models. Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2024. 183-192 (Lect. Notes Comput. Sc. ; 14533 LNCS)
43.
Spieker, V. et al.: Self-supervised k-space regularization for motion-resolved abdominal MRI using neural implicit k-space representations. In: (Medical Image Computing and Computer Assisted Intervention – MICCAI 2024). 2024. 614-624 (Lect. Notes Comput. Sc. ; 15007 LNCS)
44.
Stein, J. ; di Folco, M. & Schnabel, J.A.: Sparse annotation strategies for segmentation of short axis cardiac MRI. In:. Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2024. 66-76 (Lect. Notes Comput. Sc. ; 14507 LNCS)
45.
Waldmannstetter, D.* et al.: Primitive simultaneous optimization of similarity metrics for image registration. In: (Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries). 2024. 57-68 (Lect. Notes Comput. Sc. ; 14668 LNCS)
46.
Wand, M.* ; Malinovská, K.* ; Schmidhuber, J.* & Tetko, I.V.: Preface. Lect. Notes Comput. Sc. 15016 LNCS, v-vi (2024)
47.
Wand, M.* ; Malinovská, K.* ; Schmidhuber, J.* & Tetko, I.V.: Preface. Lect. Notes Comput. Sc. 15019 LNCS, v-vi (2024)
48.
Wand, M.* ; Malinovská, K.* ; Schmidhuber, J.* & Tetko, I.V.: Preface. Lect. Notes Comput. Sc. 15020 LNCS, v-vi (2024)
49.
Wand, M.* ; Malinovská, K.* ; Schmidhuber, J.* & Tetko, I.V.: Preface. Lect. Notes Comput. Sc. 15023 LNCS, v-vi (2024)
50.
Wand, M.* ; Malinovská, K.* ; Schmidhuber, J.* & Tetko, I.V.: Preface. Lect. Notes Comput. Sc. 15018 LNCS, v-vi (2024)
51.
Wand, M.* ; Malinovská, K.* ; Schmidhuber, J.* & Tetko, I.V.: Preface. Lect. Notes Comput. Sc. 15024 LNCS, v-vi (2024)
52.
Wand, M.* ; Malinovská, K.* ; Schmidhuber, J.* & Tetko, I.V.: Preface. Lect. Notes Comput. Sc. 15022 LNCS, v-vi (2024)
53.
Wand, M.* ; Schmidhuber, J.* ; Malinovská, K.* & Tetko, I.V.: Preface. Lect. Notes Comput. Sc. 15025 LNCS, v-vi (2024)
54.
Wand, M.* ; Malinovská, K.* ; Schmidhuber, J.* & Tetko, I.V.: Preface. Lect. Notes Comput. Sc. 15017 LNCS, v-vi (2024)
55.
Zimmer, V.A. et al.: Towards generalised neural implicit representations for image registration. In:. 2024. 45-55 (Lect. Notes Comput. Sc. ; 14533 LNCS)
56.
Bani-Harouni, D.* ; Mueller, T.T.* ; Rueckert, D.* & Kaissis, G.: Gradient Self-alignment in Private Deep Learning. In: (26th International Conference on Medical Image Computing and Computer-Assisted Intervention , MICCAI 2023, 8 - 12 October 2023, Vancouver, CANADA). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 89-97 (Lect. Notes Comput. Sc. ; 14393)
57.
Bercea, C.-I. et al.: Bias in Unsupervised Anomaly Detection in Brain MRI. In: (Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 122-131 (Lect. Notes Comput. Sc. ; 14242 LNCS)
58.
Bercea, C.-I. ; Wiestler, B.* ; Rueckert, D.* & Schnabel, J.A.: Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection. In: (Medical Image Computing and Computer Assisted Intervention – MICCAI 2023). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 293-303 (Lect. Notes Comput. Sc. ; 14224 LNCS)
59.
Bercea, C.-I. ; Rueckert, D.* & Schnabel, J.A.: What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection. In: (Medical Image Computing and Computer Assisted Intervention – MICCAI 2023). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 304-314 (Lect. Notes Comput. Sc. ; 14224 LNCS)
60.
Chobola, T. et al.: LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network. In: (Medical Image Computing and Computer Assisted Intervention – MICCAI 2023). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 656-665 (Lect. Notes Comput. Sc. ; 14227 LNCS)
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