Unsupervised End-to-end Learning for Deformable Medical Image
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Unsupervised End-to-end Learning for Deformable Medical Image Registration

23 November 2017

Yan Xu

Papers citing "Unsupervised End-to-end Learning for Deformable Medical Image Registration"

8 / 8 papers shown

Title
Exploring Intensity Invariance in Deep Neural Networks for Brain Image Registration Hassan Mahmood Asim Iqbal S. Islam 16 3 0 21 Sep 2020
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 138 427 0 09 Mar 2020
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs) Victor Villena-Martinez Sergiu Oprea Marcelo Saval-Calvo J. Azorín-López Andrés Fuster-Guilló Robert B. Fisher 42 32 0 06 Mar 2020
On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks Dongyang Kuang MedIm 16 7 0 28 Jun 2019
FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration Dongyang Kuang T. Schmah MedIm 14 94 0 22 Nov 2018
AIRNet: Self-Supervised Affine Registration for 3D Medical Images using Neural Networks Evelyn Chee Zhenzhou Wu MedIm 9 64 0 05 Oct 2018
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration Jun Zhang MedIm 11 105 0 10 Sep 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 295 10,618 0 19 Feb 2017