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Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion.

, , , , , , and . IEEE Trans. Medical Imaging, 34 (9): 1976-1988 (2015)

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Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion., , , , , , and . IEEE Trans. Medical Imaging, 34 (9): 1976-1988 (2015)Probabilistic non-linear registration with spatially adaptive regularisation., , , , , , , and . Medical Image Anal., 26 (1): 203-216 (2015)Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models., , , , and . Frontiers Artif. Intell., (2022)A symmetric block-matching framework for global registration., , , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90341D. SPIE, (2014)Phenomenological Model of Diffuse Global and Regional Atrophy Using Finite-Element Methods., , , , , , , , , and . IEEE Trans. Medical Imaging, 25 (11): 1417-1430 (2006)STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation., , , , , , , and . Medical Image Anal., 17 (6): 671-684 (2013)Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging., , , , , , , , , and 9 other author(s). NeuroImage, (2021)Compensating for intraoperative soft-tissue deformations using incomplete surface data and finite elements., , , , and . IEEE Trans. Med. Imaging, 24 (11): 1479-1491 (2005)Multi-STEPS: Multi-label similarity and truth estimation for propagated segmentations., , , , and . MMBIA, page 153-158. IEEE, (2012)Multiple Orderings of Events in Disease Progression., , , , , , , , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 711-722. Springer, (2015)