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Brain Volume and Neuropsychological Differences in Extremely Preterm Adolescents.

, , , , and . ASMUS/PIPPI@MICCAI, volume 12437 of Lecture Notes in Computer Science, page 315-323. Springer, (2020)

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Nonrigid image registration with two-sided space-fractional partial differential equations., , , , , and . ICIP, page 747-751. IEEE, (2013)Model based learning for accelerated, limited-view 3D photoacoustic tomography., , , , , , , and . CoRR, (2017)Towards anatomical modelling of multiple organs interaction using real time GPU based non-linear elasticity., , and . MMVR, volume 132 of Studies in Health Technology and Informatics, page 77-82. IOS Press, (2008)CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation., , , , , , , , and . IEEE Trans. Medical Imaging, 40 (2): 699-711 (2021)A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI., , , , and . IEEE Trans. Medical Imaging, 29 (9): 1612-1625 (2010)Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-ray Registration Framework., , , , , , and . WBIR, volume 12120 of Lecture Notes in Computer Science, page 67-77. Springer, (2020)A comparison of voxel and surface based cortical thickness estimation methods., , , , , , , and . NeuroImage, 57 (3): 856-865 (2011)Spinal cord grey matter segmentation challenge., , , , , , , , , and 18 other author(s). NeuroImage, (2017)Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging., , , , , , , , , and 9 other author(s). NeuroImage, (2021)Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 37 (7): 1562-1573 (2018)