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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/10.1007/978-1-349-11804-5Medical image registration allows comparing images from different patients, modalities or time-points, but often suffers from missing correspondences due to pathologies and inter-patient variations.
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,Building the ‘Great March’ of Progress, of pregnancy were used. We found that in the atlas several relevant brain structures were visible. In future work the atlas generation network will be incorporated and we will further explore, using the atlas, correlations between maternal periconceptional health and brain growth and development.
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Geoffrey Lee Williams,Alan Lee Williamshe performance of the local affine registration algorithm. Moreover, the proposed method achieves high registration accuracy of contents at the cell level and is potentially applicable to other medical image alignment tasks.
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Towards a 4D Spatio-Temporal Atlas of the Embryonic and Fetal Brain Using a Deep Learning Approach f of pregnancy were used. We found that in the atlas several relevant brain structures were visible. In future work the atlas generation network will be incorporated and we will further explore, using the atlas, correlations between maternal periconceptional health and brain growth and development.
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