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Semantic similarity metrics for learned image registration

Semantic similarity metrics for learned image registration

20 April 2021
Steffen Czolbe
Oswin Krause
Aasa Feragen
ArXiv (abs)PDFHTML

Papers citing "Semantic similarity metrics for learned image registration"

20 / 20 papers shown
Title
A Loss Function for Generative Neural Networks Based on Watson's
  Perceptual Model
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Steffen Czolbe
Oswin Krause
Ingemar Cox
Christian Igel
GAN
32
49
0
26 Jun 2020
CoMIR: Contrastive Multimodal Image Representation for Registration
CoMIR: Contrastive Multimodal Image Representation for Registration
Nicolas Pielawski
Elisabeth Wetzer
Johan Öfverstedt
Jiahao Lu
Carolina Wählby
Joakim Lindblad
Natavsa Sladoje
74
82
0
11 Jun 2020
Learning Conditional Deformable Templates with Convolutional Networks
Learning Conditional Deformable Templates with Convolutional Networks
Adrian Dalca
Marianne Rakic
John Guttag
M. Sabuncu
MedIm
37
115
0
07 Aug 2019
Image-and-Spatial Transformer Networks for Structure-Guided Image
  Registration
Image-and-Spatial Transformer Networks for Structure-Guided Image Registration
Matthew C. H. Lee
Ozan Oktay
A. Schuh
M. Schaap
Ben Glocker
MedImViT
57
77
0
22 Jul 2019
Probabilistic Multilayer Regularization Network for Unsupervised 3D
  Brain Image Registration
Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration
Lihao Liu
Xiaowei Hu
Lei Zhu
Pheng-Ann Heng
3DPC3DVMedIm
47
34
0
03 Jul 2019
Conditional Segmentation in Lieu of Image Registration
Conditional Segmentation in Lieu of Image Registration
Yipeng Hu
Eli Gibson
D. Barratt
M. Emberton
J. A. Noble
Tom Vercauteren
75
22
0
30 Jun 2019
DeepAtlas: Joint Semi-Supervised Learning of Image Registration and
  Segmentation
DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation
Zhenlin Xu
Marc Niethammer
SSeg
59
159
0
17 Apr 2019
A Deep Learning Framework for Unsupervised Affine and Deformable Image
  Registration
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
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
Learning Deep Similarity Metric for 3D MR-TRUS Registration
Learning Deep Similarity Metric for 3D MR-TRUS Registration
Grant Haskins
J. Kruecker
Uwe Krüger
Sheng Xu
Peter A. Pinto
Bradford J. Wood
Pingkun Yan
149
115
0
12 Jun 2018
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
Adrian Dalca
Guha Balakrishnan
John Guttag
M. Sabuncu
DiffM
73
383
0
11 May 2018
Non-Rigid Image Registration Using Self-Supervised Fully Convolutional
  Networks without Training Data
Non-Rigid Image Registration Using Self-Supervised Fully Convolutional Networks without Training Data
Hongming Li
Yong-Xian Fan
MedIm
52
155
0
11 Jan 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
377
11,795
0
11 Jan 2018
Quicksilver: Fast Predictive Image Registration - a Deep Learning
  Approach
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach
Xiao Yang
Roland Kwitt
Martin Styner
Marc Niethammer
67
595
0
31 Mar 2017
A Deep Metric for Multimodal Registration
A Deep Metric for Multimodal Registration
M. Simonovsky
B. Gutiérrez-Becker
Diana Mateus
Nassir Navab
N. Komodakis
93
212
0
17 Sep 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
GAN
159
4,235
0
12 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
829
9,318
0
06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
1