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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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Evaluating and improving label fusion in atlas-based segmentation using the surface distance., , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 796226. SPIE, (2011)The Design of SuperElastix - A Unifying Framework for a Wide Range of Image Registration Methodologies., , , and . CVPR Workshops, page 498-506. IEEE Computer Society, (2016)The Continuous Registration Challenge: Evaluation-as-a-Service for Medical Image Registration Algorithms., , , , and . ISBI, page 1399-1402. IEEE, (2019)A deep learning framework for unsupervised affine and deformable image registration., , , , , and . Medical Image Analysis, (2019)Particle Smoothing for Solving Ambiguity Problems in One-shot Structured Light Systems., , , and . VISAPP, page 531-537. SciTePress, (2011)Label fusion in multi-atlas based segmentation with user-defined local weights., , , , and . ISBI, page 1480-1483. IEEE, (2011)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)End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network., , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 204-212. Springer, (2017)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)