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Gene to mouse atlas registration using a landmark-based nonlinear elasticity smoother.

, , , , , , и . Medical Imaging: Image Processing, том 7259 из SPIE Proceedings, стр. 72592Q. SPIE, (2009)

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A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother., и . SSVM, том 5567 из Lecture Notes in Computer Science, стр. 600-611. Springer, (2009)Gradient field approximation: Application to registration in image processing., , , и . J. Comput. Appl. Math., (2013)A landmark-based nonlinear elasticity model for mouse atlas registration., , , , , , и . ISBI, стр. 788-791. IEEE, (2008)Oceanic Surface Current Approximation from Sparse Data., , , и . IGARSS, стр. 5697-5700. IEEE, (2020)Coastline Erosion Study via UAV Drone Remote Sensing Using Python Modelling Electrical Resistivity Imaging (PyMERI)., , , , , , , , , и . IGARSS, стр. 441-444. IEEE, (2020)On the Construction of Topology-Preserving Deformation Fields., , и . IEEE Trans. Image Processing, 21 (4): 1587-1599 (2012)Gene Expression Data to Mouse Atlas Registration Using a Nonlinear Elasticity Smoother and Landmark Points Constraints., , , , , и . J. Sci. Comput., 50 (3): 586-609 (2012)A constrained registration problem based on Ciarlet-Geymonat stored energy., и . Medical Imaging: Image Processing, том 9034 из SPIE Proceedings, стр. 90343Q. SPIE, (2014)A Geometrically-Constrained Deep Network For Ct Image Segmentation., , и . ISBI, стр. 29-33. IEEE, (2021)Asymptotic Result for a Decoupled Nonlinear Elasticity-Based Multiscale Registration Model., и . SSVM, том 14009 из Lecture Notes in Computer Science, стр. 639-651. Springer, (2023)