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61.
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)
62.
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)
63.
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)
64.
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)
65.
Contento, L.* ; Stapor, P. ; Weindl, D. & Hasenauer, J.: A More Expressive Spline Representation for SBML Models Improves Code Generation Performance in AMICI. In: (Computational Methods in Systems Biology). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 36-43 (Lect. Notes Comput. Sc. ; 14137 LNBI)
66.
Eichhorn, H. et al.: Physics-Aware Motion Simulation For T2*-Weighted Brain MRI. In: (Simulation and Synthesis in Medical Imaging). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 42-52 (Lect. Notes Comput. Sc. ; 14288)
67.
Feiner, L.F.* et al.: Propagation and attribution of uncertainty in medical imaging pipelines. In: (5th International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE), 12 October 2023, Vancouver, CANADA). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 1-11 (Lect. Notes Comput. Sc. ; 14291)
68.
Ghorbel, A.* ; Aldahdooh, A.* ; Albarqouni, S. & Hamidouche, W.*: Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images. In: (Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 25-44 (Lect. Notes Comput. Sc. ; 13769 LNCS)
69.
Khan, A.H.* ; Umer, R.M. ; Dunnhofer, M.* ; Micheloni, C.* & Martinel, N.*: LBKENet: Lightweight Blur Kernel Estimation Network for Blind Image Super-Resolution. In: (Image Analysis and Processing – ICIAP 2023: 22nd International Conference, ICIAP 2023, 11-15 September, Udine, Italy). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 209-222 (Lect. Notes Comput. Sc. ; 14234 LNCS)
70.
Kofler, F. et al.: Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings. In: (Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 3-13 (Lect. Notes Comput. Sc. ; 13769 LNCS)
71.
Kofler, F. et al.: blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation. In: (Information Processing in Medical Imaging). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 755-767 (Lect. Notes Comput. Sc. ; 13939 LNCS)
72.
Kreitner, L.* ; Ezhov, I.* ; Rueckert, D.* ; Paetzold, J.C. & Menten, M.J.*: Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias. In: (MIDOG 2022, DRAC 2022: Mitosis Domain Generalization and Diabetic Retinopathy Analysis). 2023. 16-25 (Lect. Notes Comput. Sc. ; 13597 LNCS)
73.
Lang, D.M. ; Schwartz, E.* ; Bercea, C.-I. ; Giryes, R.* & Schnabel, J.A.: Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. In: (Cancer Prevention Through Early Detection). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 55-67 (Lect. Notes Comput. Sc. ; 14295 LNCS)
74.
Liu, Y.* et al.: BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior. In: (Medical Image Computing and Computer Assisted Intervention – MICCAI 2023). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 646-655 (Lect. Notes Comput. Sc. ; 14227 LNCS)
75.
Mächler, L.* ; Ezhov, I.* ; Shit, S.* & Paetzold, J.C.: FedPIDAvg: A PID Controller Inspired Aggregation Method for Federated Learning. In:. Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 209-217 (Lect. Notes Comput. Sc. ; 14092 LNCS)
76.
Mueller, T.T.* et al.: Body Fat Estimation from Surface Meshes Using Graph Neural Networks. In: (Shape in Medical Imaging). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 105-117 (Lect. Notes Comput. Sc. ; 14350 LNCS)
77.
Müller, P.* ; Meissen, F.* ; Brandt, J.* ; Kaissis, G. & Rueckert, D.*: Anatomy-Driven Pathology Detection on Chest X-rays. In: (Medical Image Computing and Computer Assisted Intervention – MICCAI 2023). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 57-66 (Lect. Notes Comput. Sc. ; 14220 LNCS)
78.
Rügamer, D.* et al.: Factorized Structured Regression for Large-Scale Varying Coefficient Models. In:. Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 20-35 (Lect. Notes Comput. Sc. ; 13717 LNAI)
79.
Sadafi, A. et al.: Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images. In: (Information Processing in Medical Imaging). Gewerbestrasse 11, Cham, Ch-6330, Switzerland: Springer International Publishing Ag, 2023. 170-182 (Lect. Notes Comput. Sc. ; 13939 LNCS)
80.
Sadafi, A. ; Hehr, M. ; Navab, N.* & Marr, C.: A Study of Age and Sex Bias in Multiple Instance Learning Based Classification of Acute Myeloid Leukemia Subtypes. 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. 256-265 (Lect. Notes Comput. Sc. ; 14242 LNCS)
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