Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks

25 July 2019

Papers citing "Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks"

12 / 12 papers shown

Title
CARL: A Framework for Equivariant Image Registration Hastings Greer Lin Tian François-Xavier Vialard Roland Kwitt R. Estépar Marc Niethammer 3DPC MedIm 111 0 0 27 May 2024
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration B. D. de Vos F. Berendsen M. Viergever Hessam Sokooti Marius Staring Ivana Isgum MedIm 69 682 0 17 Sep 2018
VoxelMorph: A Learning Framework for Deformable Medical Image Registration Guha Balakrishnan Amy Zhao M. Sabuncu John Guttag Adrian Dalca MedIm 115 1,574 0 14 Sep 2018
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration Yipeng Hu Marc Modat Eli Gibson Wenqi Li N. Ghavami ... M. Emberton Sébastien Ourselin J. A. Noble D. Barratt Tom Vercauteren 90 382 0 09 Jul 2018
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration Jan Rühaak T. Polzin Stefan Heldmann Ivor J. A. Simpson Heinz Handels J. Modersitzki M. Heinrich 44 99 0 02 Jul 2018
Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration Julian Krebs Tommaso Mansi B. Mailhé N. Ayache H. Delingette DiffM MedIm 34 75 0 19 Apr 2018
An Unsupervised Learning Model for Deformable Medical Image Registration Guha Balakrishnan Amy Zhao M. Sabuncu John Guttag Adrian Dalca 83 628 0 07 Feb 2018
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach Xiao Yang Roland Kwitt Martin Styner Marc Niethammer 67 595 0 31 Mar 2017
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 137 3,057 0 18 Mar 2016
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 311 4,177 0 26 Apr 2015
Conditional Random Fields as Recurrent Neural Networks Shuai Zheng Sadeep Jayasumana Bernardino Romera-Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip Torr SSeg 243 2,536 0 11 Feb 2015
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials Philipp Krahenbuhl V. Koltun 132 3,452 0 20 Oct 2012