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3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations.

, , , , , , , and . CoRR, (2019)

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Registration of organs with sliding interfaces and changing topologies., , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90340E. SPIE, (2014)Free-Form Registration Involving Disappearing Structures: Application to Brachytherapy MRI., , , , and . Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 136-144. Springer, (2013)Improving label fusion in multi-atlas based segmentation by locally combining atlas selection and performance estimation., , , , and . Comput. Vis. Image Underst., (2015)SimpleElastix: A User-Friendly, Multi-lingual Library for Medical Image Registration., , , and . CVPR Workshops, page 574-582. IEEE Computer Society, (2016)Automatic Left Atrial Wall Segmentation from Contrast-Enhanced CT Angiography Images., , , and . STACOM@MICCAI, volume 10124 of Lecture Notes in Computer Science, page 220-227. Springer, (2016)3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations., , , , , , , and . CoRR, (2019)Expert-driven label fusion in multi-atlas-based segmentation of the prostate using weighted atlases., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 8 (6): 929-936 (2013)Medical Image Registration Guided by Application-Specific Geometry.. Utrecht University, Netherlands, (2015)base-search.net (ftunivutrecht:oai:dspace.library.uu.nl:1874/310470).Label fusion in multi-atlas based segmentation with user-defined local weights., , , , and . ISBI, page 1480-1483. IEEE, (2011)A deep learning framework for unsupervised affine and deformable image registration., , , , , and . Medical Image Anal., (2019)