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Classical deformable registration techniques achieve impressive results and offer a rigorous theoretical treatment, but are computationally intensive since they solve an optimization problem for each image pair.
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Cortical surface registration for image-guided neurosurgery using laser-range scanning
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Nineteen dubious ways to compute the exponential of a matrix, twenty-five years later
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Increasing the power of functional maps of the medial temporal lobe by using large deformation diffeomorphic metric mapping
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A log-euclidean framework for statistics on diffeomorphisms
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A fast diffeomorphic image registration algorithm
J. Ashburner · 2007
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Open access series of imaging studies (oasis): cross-sectional mri data in young, middle aged, nondemented, and demented older adults
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4-points congruent sets for robust pairwise surface registration
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Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain
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Dense image registration through mrfs and efficient linear programming
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Combined volumetric and surface registration
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Multi-contrast large deformation diffeomorphic metric mapping for diffusion tensor imaging
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Registration of anatomical images using paths of diffeomorphisms parameterized with stationary vector field flows
Monica Hernandez, Matias N Bossa, and Salvador Olmos · 2009
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Evaluation of 14 nonlinear deformation algorithms applied to human brain mri registration
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Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: application to normal elderly and alzheimer’s disease participants
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Diffeomorphic demons: Efficient non-parametric image registration
Tom Vercauteren et al · 2009
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Statistical models of currents for measuring the variability of anatomical curves, surfaces and their evolution
U-net: Convolutional networks for biomedical image segmentation
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
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Patch-based discrete registration of clinical brain images
Adrian V Dalca, Andreea Bobu, Natalia S Rost, and Polina Golland · 2016
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Deformable image registration by combining uncertainty estimates from supervoxel belief propagation
Mattias P Heinrich, Ivor JA Simpson, BartŁomiej W Papież, Michael Brady, and Julia A Schnabel · 2016
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Propagation of registration uncertainty during multi-fraction cervical cancer brachytherapy
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Stanley Durrleman · 2010
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Fast free-form deformation using graphics processing units
Marc Modat, Gerard R Ridgway, Zeike A Taylor, Manja Lehmann, Josephine Barnes, David J Hawkes, Nick C Fox, and Sébastien Ourselin · 2010
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Learning task-optimal registration cost functions for localizing cytoarchitecture and function in the cerebral cortex
BT Thomas Yeo, Mert R Sabuncu, Tom Vercauteren, Daphne J Holt, Katrin Amunts, Karl Zilles, Polina Golland, and Bruce Fischl · 2010
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The parkinson progression marker initiative (ppmi)
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Freesurfer
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The ADHD-200 consortium: a model to advance the translational potential of neuroimaging in clinical neuroscience
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A probabilistic non-rigid registration framework using local noise estimates
Ivor JA Simpson, Mark W Woolrich, Jesper LR Andersson, Adrian R Groves, and Julia A Schnabel · 2012
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The MCIC collection: a shared repository of multi-modal, multi-site brain image data from a clinical investigation of schizophrenia
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Deformable image registration based on similarity-steered cnn regression
Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, and Dinggang Shen · 2017
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End-to-end unsupervised deformable image registration with a convolutional neural network
Bob D de Vos, Floris F Berendsen, Max A Viergever, Marius Staring, and Ivana Išgum · 2017
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Robust non-rigid registration through agent-based action learning
Julian Krebs et al · 2017
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Non-rigid image registration using fully convolutional networks with deep self-supervision
H. Li and Y. Fan · 2017
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SVF-Net: Learning deformable image registration using shape matching
Marc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, and Xavier Pennec · 2017
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Nonrigid image registration using multi-scale 3d convolutional neural networks
Hessam Sokooti, Bob de Vos, Floris Berendsen, Boudewijn PF Lelieveldt, Ivana Išgum, and Marius Staring · 2017
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Quicksilver: Fast predictive image registration–a deep learning approach
Xiao Yang, Roland Kwitt, Martin Styner, and Marc Niethammer · 2017
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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
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An unsupervised learning model for deformable medical image registration
Guha Balakrishnan, Amy Zhao, Mert R Sabuncu, John Guttag, and Adrian V Dalca · 2018
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Unsupervised learning for fast probabilistic diffeomorphic registration
Adrian V. Dalca, Guha Balakrishnan, John Guttag, and Mert R. Sabuncu · 2018
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Anatomical priors in convolutional networks for unsupervised biomedical segmentation
Adrian V Dalca, John Guttag, and Mert R Sabuncu · 2018
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Label-driven weakly-supervised learning for multimodal deformable image registration
Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M Moore, Mark Emberton, J Alison Noble, Dean C Barratt, and Tom Vercauteren · 2018
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Weakly-supervised convolutional neural networks for multimodal image registration
Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M Moore, Mark Emberton, et al · 2018
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Unsupervised probabilistic deformation modeling for robust diffeomorphic registration
Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, and Hervé Delingette · 2018
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Voxelmorph: A learning framework for deformable medical image registration
Guha Balakrishnan, Amy Zhao, Mert R Sabuncu, John Guttag, and Adrian V Dalca · 2019
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A deep learning framework for unsupervised affine and deformable image registration
Bob D de Vos, Floris F Berendsen, Max A Viergever, Hessam Sokooti, Marius Staring, and Ivana Išgum · 2019
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Learning a probabilistic model for diffeomorphic registration
Julian Krebs, Hervé e Delingette, Boris Mailhé, Nicholas Ayache, and Tommaso Mansi · 2019
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Metric learning for image registration
Marc Niethammer, Roland Kwitt, and Francois-Xavier Vialard · 2019
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