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Establishing dense anatomical correspondence across distinct imaging modalities is a foundational yet challenging procedure for numerous medical image analysis studies and image-guided radiotherapy.
A review of medical image registration
Calvin R Maurer and J Michael Fitzpatrick · 1993
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Multimodality image registration by maximization of mutual information
Frederik Maes, Andre Collignon, Dirk Vandermeulen, Guy Marchal, and Paul Suetens · 1997
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Alignment by maximization of mutual information
Paul Viola and William M Wells III · 1997
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Image registration by maximization of combined mutual information and gradient information
Josien PW Pluim, JB Antoine Maintz, and Max A Viergever · 2000
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Hammer: hierarchical attribute matching mechanism for elastic registration
Dinggang Shen and Christos Davatzikos · 2002
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A fast diffeomorphic image registration algorithm
John Ashburner · 2007
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Matching local self-similarities across images and videos
Eli Shechtman and Michal Irani · 2007
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Automatic ct-ultrasound registration for diagnostic imaging and image-guided intervention
Wolfgang Wein, Shelby Brunke, Ali Khamene, Matthew R Callstrom, and Nassir Navab · 2008
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Advanced normalization tools (ANTS)
Brian B Avants, Nick Tustison, and Gang Song · 2009
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Learning similarity measure for multi-modal 3d image registration
Daewon Lee, Matthias Hofmann, Florian Steinke, Yasemin Altun, Nathan D Cahill, and Bernhard Scholkopf · 2009
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The bobyqa algorithm for bound constrained optimization without derivatives
Michael JD Powell et al · 2009
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A reproducible evaluation of ants similarity metric performance in brain image registration
Brian B Avants, Nicholas J Tustison, Gang Song, Philip A Cook, Arno Klein, and James C Gee · 2011
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An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy
Chao Lu, Sudhakar Chelikani, Xenophon Papademetris, Jonathan P Knisely, Michael F Milosevic, Zhe Chen, David A Jaffray, Lawrence H Staib, and James S Duncan · 2011
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Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling
Mattias P Heinrich, Mark Jenkinson, Sir Michael Brady, and Julia A Schnabel · 2012
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Towards realtime multimodal fusion for image-guided interventions using self-similarities
Mattias P Heinrich, Mark Jenkinson, Bartlomiej W Papież, Sir Michael Brady, and Julia A Schnabel · 2013
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Rectifier nonlinearities improve neural network acoustic models
Andrew L Maas, Awni Y Hannun, Andrew Y Ng, et al · 2013
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Modified bézier curves with shape-preserving characteristics using differential evolution optimization algorithm
Mohammad Asif Zaman and Shuvro Chowdhury · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Deriving anatomical context from 4d ultrasound
Markus Müller, Linn Emilie Sævil Helljesen, Raphael Prevost, Ivan Viola, Kim Nylund, Odd Helge Gilja, Nassir Navab, and Wolfgang Wein · 2014
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Free-form deformation using lower-order b-spline for nonrigid image registration
Wei Sun, Wiro J Niessen, and Stefan Klein · 2014
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The multimodal brain tumor image segmentation benchmark (brats)
Bjoern H. Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, et al · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Hypermorph: Amortized hyperparameter learning for image registration
Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John Guttag, and Adrian V Dalca · 2021
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Conditional deformable image registration with convolutional neural network
Tony CW Mok and Albert CS Chung · 2021
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Medical image registration based on uncoupled learning and accumulative enhancement
Yucheng Shu, Hao Wang, Bin Xiao, Xiuli Bi, and Weisheng Li · 2021
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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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Multi-site infant brain segmentation algorithms: The iseg-2019 challenge
Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Dinggang Shen, Gang Li, and Li Wang · 2021
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Benjamin Gutierrez-Becker, Diana Mateus, Loic Peter, and Nassir Navab · 2017
Cited alongside, same era.
Medical image registration in image guided surgery: Issues, challenges and research opportunities
Fakhre Alam, Sami Ur Rahman, Sehat Ullah, and Kamal Gulati · 2018
Cited alongside, same era.
Representation learning with contrastive predictive coding
Aäron van den Oord, Yazhe Li, and Oriol Vinyals · 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.
Evaluation of mri to ultrasound registration methods for brain shift correction: the curious2018 challenge
Yiming Xiao, Hassan Rivaz, Matthieu Chabanas, Maryse Fortin, Ines Machado, Yangming Ou, Mattias P Heinrich, Julia A Schnabel, Xia Zhong, Andreas Maier, et al · 2019
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Making convolutional networks shift-invariant again
Richard Zhang · 2019
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Contrareg: Contrastive learning of multi-modality unsupervised deformable image registration
Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Bo Zhou, Guido Gerig, and Michal Sofka · 2022
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Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann et al · 2022
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Learning iterative optimisation for deformable image registration of lung ct with recurrent convolutional networks
Fenja Falta, Lasse Hansen, and Mattias P Heinrich · 2022
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Learn2reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Alessa Hering, Lasse Hansen, Tony CW Mok, Albert CS Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, et al · 2022
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Learning deformable image registration from optimization: Perspective, modules, bilevel training and beyond
Risheng Liu, Zi Li, Xin Fan, Chenying Zhao, Hao Huang, and Zhongxuan Luo · 2022
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SAM: self-supervised learning of pixel-wise anatomical embeddings in radiological images
Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Dazhou Guo, Adam P. Harrison, Youbao Tang, Jing Xiao, Jingjing Lu, and Le Lu · 2022
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Learning-based us-mr liver image registration with spatial priors
Qi Zeng, Shahed Mohammed, Emily HT Pang, Caitlin Schneider, Mohammad Honarvar, Julio Lobo, Changhong Hu, James Jago, Gary Ng, Robert Rohling, et al · 2022
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Matching in the wild: Learning anatomical embeddings for multi-modality images
Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Tony C. W. Mok, Zi Li, Minfeng Xu, Jingren Zhou, Le Lu, Dakai Jin, Xianghua Ye, Jingjing Lu, and Ke Yan · 2023
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Unsupervised 3d registration through optimization-guided cyclical self-training
Alexander Bigalke, Lasse Hansen, Tony CW Mok, and Mattias P Heinrich · 2023
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Automated learning for deformable medical image registration by jointly optimizing network architectures and objective functions
Xin Fan, Zi Li, Ziyang Li, Xiaolin Wang, Risheng Liu, Zhongxuan Luo, and Hao Huang · 2023
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Samconvex: Fast discrete optimization for CT registration using self-supervised anatomical embedding and correlation pyramid
Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, and Dakai Jin · 2023
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Deformable medical image registration under distribution shifts with neural instance optimization
Tony CW Mok, Zi Li, Yingda Xia, Jiawen Yao, Ling Zhang, Jingren Zhou, and Le Lu · 2023
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