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Titlebook: Biomedical Image Registration; 10th International W Alessa Hering,Julia Schnabel,Daniel Rueckert Conference proceedings 2022 The Editor(s)

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https://doi.org/10.1007/978-1-349-11804-5ain tumour images from the BraTS 2021 dataset. We showed that our method can better align healthy brain templates to images with brain tumours than existing state-of-the-art methods. Our PyTorch code is freely available here: ..
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Weighted Metamorphosis for Registration of Images with Different Topologiesmetamorphic intensity additions using a time-varying spatial weight function. It can be used to model prior knowledge about the topological/appearance changes (e.g., tumour/oedema). We show that our method improves the disentanglement between anatomical (i.e., shape) and topological (i.e., appearanc
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DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptationy when predicting domain-shifted input data. Multi-atlas segmentation utilizes multiple available sample annotations which are deformed and propagated to the target domain via multimodal image registration and fused to a consensus label afterwards but subsequent network training with the registered
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