Titlebook: Deep Generative Models; 4th MICCAI Workshop, Anirban Mukhopadhyay,Ilkay Oksuz,Yixuan Yuan Conference proceedings 2025 The Editor(s) (if app

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Conference proceedings 2025 a?broad range of topics, ranging from methodology (such as Causal inference, Latent interpretation, Generative factor analysis) to Applications (such as Mammography, Vessel imaging, Surgical videos and more)..

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0302-9743 deal with a?broad range of topics, ranging from methodology (such as Causal inference, Latent interpretation, Generative factor analysis) to Applications (such as Mammography, Vessel imaging, Surgical videos and more)..978-3-031-72743-6978-3-031-72744-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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,Unpaired Modality Translation for?Pseudo Labeling of?Histology Images,Dice score of . on a SEM dataset using the tutoring path, which involves training a segmentation model on synthetic data created by translating the labeled dataset (TEM) to the target modality (SEM). This approach aims to accelerate the annotation process by providing high-quality pseudo labels as a starting point for manual refinement.

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Das Komische: Wann lachen wir?,mostly apply patch-wise, slice-wise,?or cascaded generation techniques to fit the high-dimensional data?into the limited GPU memory. However, these approaches may introduce artifacts and potentially restrict the model’s applicability?for certain downstream tasks. This work presents WDM, a wavelet-ba

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