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Image registration is an essential step in many medical image analysis tasks.
Mathematical theory of optimal processes
Lev Semenovich Pontryagin · 1987
Earlier work this paper cites.
Multiresolution elastic matching
Ruzena Bajcsy and Stane Kovačič · 1989
Earlier work this paper cites.
Deformable templates using large deformation kinematics
Gary E Christensen, Richard D Rabbitt, and Michael I Miller · 1996
Earlier work this paper cites.
Variational problems on flows of diffeomorphisms for image matching
Paul Dupuis, Ulf Grenander, and Michael I Miller · 1998
Earlier work this paper cites.
Image matching as a diffusion process: an analogy with maxwell’s demons
J-P Thirion · 1998
Earlier work this paper cites.
Understanding the “demon’s algorithm”: 3d non-rigid registration by gradient descent
Xavier Pennec, Pascal Cachier, and Nicholas Ayache · 1999
Earlier work this paper cites.
Nonrigid registration using free-form deformations: application to breast mr images
Daniel Rueckert, Luke I Sonoda, Carmel Hayes, Derek LG Hill, Martin O Leach, and David J Hawkes · 1999
Earlier work this paper cites.
Voxel-based morphometry—the methods
John Ashburner and Karl J Friston · 2000
Earlier work this paper cites.
Hierarchical estimation of a dense deformation field for 3-d robust registration
Pierre Hellier, Christian Barillot, Etienne Mémin, and Patrick Pérez · 2001
Earlier work this paper cites.
Hammer: hierarchical attribute matching mechanism for elastic registration
Dinggang Shen and Christos Davatzikos · 2002
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
Earlier work this paper cites.
Computing large deformation metric mappings via geodesic flows of diffeomorphisms
M Faisal Beg, Michael I Miller, Alain Trouvé, and Laurent Younes · 2005
Earlier work this paper cites.
A fast diffeomorphic image registration algorithm
John Ashburner · 2007
Earlier work this paper cites.
Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain
Brian B Avants, Charles L Epstein, Murray Grossman, and James C Gee · 2008
Earlier work this paper cites.
Advanced normalization tools (ants)
Brian B Avants, Nick Tustison, Gang Song, et al · 2009
Earlier work this paper cites.
Unbiased nonlinear average age-appropriate brain templates from birth to adulthood
Vladimir S Fonov, Alan C Evans, Robert C McKinstry, C Robert Almli, and DL Collins · 2009
Earlier work this paper cites.
Unbiased average age-appropriate atlases for pediatric studies
Vladimir Fonov, Alan C Evans, Kelly Botteron, C Robert Almli, Robert C McKinstry, D Louis Collins, Brain Development Cooperative Group, et al · 2011
Earlier work this paper cites.
Multimodal image registration for preoperative planning and image-guided neurosurgical procedures
Petter Risholm, Alexandra J Golby, and William Wells · 2011
Earlier work this paper cites.
101 labeled brain images and a consistent human cortical labeling protocol
Arno Klein and Jason Tourville · 2012
Earlier work this paper cites.
Dipy, a library for the analysis of diffusion mri data
Eleftherios Garyfallidis, Matthew Brett, Bagrat Amirbekian, Ariel Rokem, Stefan Van Der Walt, Maxime Descoteaux, Ian Nimmo-Smith, and Dipy Contributors · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 2015
Earlier work this paper cites.
Patch-based discrete registration of clinical brain images
Adrian V Dalca, Andreea Bobu, Natalia S Rost, and Polina Golland · 2016
Earlier work this paper cites.
Radiogenomic analysis of oncological data: a technical survey
Mariarosaria Incoronato, Marco Aiello, Teresa Infante, Carlo Cavaliere, Anna Maria Grimaldi, Peppino Mirabelli, Serena Monti, and Marco Salvatore · 2017
Earlier work this paper cites.
Frequency diffeomorphisms for efficient image registration
Miaomiao Zhang, Ruizhi Liao, Adrian V Dalca, Esra A Turk, Jie Luo, P Ellen Grant, and Polina Golland · 2017
Cited alongside, same era.
An unsupervised learning model for deformable medical image registration
Guha Balakrishnan, Amy Zhao, Mert R Sabuncu, John Guttag, and Adrian V Dalca · 2018
Cited alongside, same era.
JAX: composable transformations of Python+NumPy programs, 2018
James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang · 2018
Cited alongside, same era.
Neural ordinary differential equations
Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, and David Duvenaud · 2018
Cited alongside, same era.
Unsupervised learning for fast probabilistic diffeomorphic registration
Adrian V Dalca, Guha Balakrishnan, John Guttag, and Mert R Sabuncu · 2018
Cited alongside, same era.
Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, and Ren Ng · 2020
Later among the works it cites.
Vit-v-net: Vision transformer for unsupervised volumetric medical image registration
Junyu Chen, Yufan He, Eric C Frey, Ye Li, and Yong Du · 2021
Later among the works it cites.
Learning continuous image representation with local implicit image function
Yinbo Chen, Sifei Liu, and Xiaolong Wang · 2021
Later among the works it cites.
Coin: Compression with implicit neural representations
Emilien Dupont, Adam Goliński, Milad Alizadeh, Yee Whye Teh, and Arnaud Doucet · 2021
Later among the works it cites.
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Jonathan Frankle and Michael Carbin · 2018
Cited alongside, same era.
Stanislav Nikolov, Sam Blackwell, Alexei Zverovitch, Ruheena Mendes, Michelle Livne, Jeffrey De Fauw, Yojan Patel, Clemens Meyer, Harry Askham, Bernardino Romera-Paredes, et al · 2018
Cited alongside, same era.
Airlab: autograd image registration laboratory
Robin Sandkühler, Christoph Jud, Simon Andermatt, and Philippe C Cattin · 2018
Cited alongside, same era.
Unsupervised deformable image registration with fully connected generative neural network
Ameneh Sheikhjafari, Michelle Noga, Kumaradevan Punithakumar, and Nilanjan Ray · 2018
Cited alongside, same era.
Voxelmorph: a learning framework for deformable medical image registration
Guha Balakrishnan, Amy Zhao, Mert R Sabuncu, John Guttag, and Adrian V Dalca · 2019
Cited alongside, same era.
Emilien Dupont, Arnaud Doucet, and Yee Whye Teh · 2019
Cited alongside, same era.
Occupancy flow: 4d reconstruction by learning particle dynamics
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2019
Cited alongside, same era.
Alessa Hering, Lasse Hansen, Tony CW Mok, Albert Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, et al · 2021
Later among the works it cites.
Hypermorph: Amortized hyperparameter learning for image registration
Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John Guttag, and Adrian V Dalca · 2021
Later among the works it cites.
End-to-end multimodal image registration via reinforcement learning
Jing Hu, Ziwei Luo, Xin Wang, Shanhui Sun, Youbing Yin, Kunlin Cao, Qi Song, Siwei Lyu, and Xi Wu · 2021
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Conditional deformable image registration with convolutional neural network
Tony CW Mok and Albert Chung · 2021
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Common limitations of image processing metrics: A picture story
Annika Reinke, Matthias Eisenmann, Minu D Tizabi, Carole H Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M Jorge Cardoso, Veronika Cheplygina, et al · 2021
Later among the works it cites.
Liyue Shen, John Pauly, and Lei Xing · 2021
Later among the works it cites.
Fast 3d registration with accurate optimisation and little learning for learn2reg 2021
Hanna Siebert, Lasse Hansen, and Mattias P Heinrich · 2021
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Coil: Coordinate-based internal learning for imaging inverse problems
Yu Sun, Jiaming Liu, Mingyang Xie, Brendt Wohlberg, and Ulugbek S Kamilov · 2021
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Implicit neural representations for deformable image registration
Jelmer M Wolterink, Jesse C Zwienenberg, and Christoph Brune · 2021
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Irem: High-resolution magnetic resonance image reconstruction via implicit neural representation
Qing Wu, Yuwei Li, Lan Xu, Ruiming Feng, Hongjiang Wei, Qing Yang, Boliang Yu, Xiaozhao Liu, Jingyi Yu, and Yuyao Zhang · 2021
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Neural fields in visual computing and beyond
Yiheng Xie, Towaki Takikawa, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, and Srinath Sridhar · 2021
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Multi-scale neural odes for 3d medical image registration
Junshen Xu, Eric Z Chen, Xiao Chen, Terrence Chen, and Shanhui Sun · 2021
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Learning dual transformer network for diffeomorphic registration
Yungeng Zhang, Yuru Pei, and Hongbin Zha · 2021
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Deep implicit templates for 3d shape representation
Zerong Zheng, Tao Yu, Qionghai Dai, and Yebin Liu · 2021
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Test-time training for deformable multi-scale image registration
Wentao Zhu, Yufang Huang, Daguang Xu, Zhen Qian, Wei Fan, and Xiaohui Xie · 2021
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Affine medical image registration with coarse-to-fine vision transformer
Tony CW Mok and Albert Chung · 2022
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Xmorpher: Full transformer for deformable medical image registration via cross attention
Jiacheng Shi, Yuting He, Youyong Kong, Jean-Louis Coatrieux, Huazhong Shu, Guanyu Yang, and Shuo Li · 2022
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Topology-preserving shape reconstruction and registration via neural diffeomorphic flow
Shanlin Sun, Kun Han, Deying Kong, Hao Tang, Xiangyi Yan, and Xiaohui Xie · 2022
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Nodeo: A neural ordinary differential equation based optimization framework for deformable image registration
Yifan Wu, Tom Z Jiahao, Jiancong Wang, Paul A Yushkevich, M Ani Hsieh, and James C Gee · 2022
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A structured dictionary perspective on implicit neural representations
Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, and Pascal Frossard · 2022
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