Variational Methods for Multimodal Image Matching

Partial Differential Equations

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Scale-space and edge detection using anisotropic diffusion

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Mean shift: a robust approach toward feature space analysis

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On Estimation of a Probability Density Function and Mode

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Determining Optical Flow

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Multimodality image registration by maximization of mutual information

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Medical image analysis: progress over two decades and the challenges ahead

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Alignment by Maximization of Mutual Information

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Non Rigid Registration of Diffusion Tensor Images

Faugeras, O. D., Lenglet, C., Papadopoulo, T., & Rachid Deriche, B. (2007) · Cited by 11

Temporally diffeomorphic cardiac motion estimation from three-dimensional echocardiography by minimization of intensity consistency error

Zhang, Z., Ashraf, M., Sahn, D. J., & Song, X. B. (2014) · Medical Physics · doi:10.1118/1.4867864 · Cited by 10

Direct visual tracking under extreme illumination variations using the sum of conditional variance

Richa, R., de Souza, M. M., Scandaroli, G. G., Comunello, E., & von Wangenheim, A. (2014) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2014.7025074 · Cited by 10

Cardiac Motion Estimation from 3D Echocardiography with Spatiotemporal Regularization

Zhang, Z., Song, X. B., & Sahn, D. J. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21028-0_45 · Cited by 10

Combining variational and model-based techniques to register PET and MR images in hand osteoarthritis

Magee, D. R., Tanner, S. F., Waller, M. L., Tan, A. L., McGonagle, D. G., & Jeavons, A. P. (2010) · Physics in Medicine and Biology · doi:10.1088/0031-9155/55/16/009 · Cited by 10

GIFTed Demons: deformable image registration with local structure-preserving regularization using supervoxels for liver applications

Papież, B. W., Franklin, J. M., Heinrich‬, M. P., Gleeson, F. V., Brady, M., & Schnabel, J. A. (2018) · Journal of medical imaging · doi:10.1117/1.jmi.5.2.024001 · Cited by 10

Combining Sparse and Dense Features to Improve Multi-Modal Registration for Brain DTI Images

Moldovanu, S., Pană, L., Biswas, A., & Moraru, L. (2020) · Entropy · doi:10.3390/e22111299 · Cited by 10

Multiscale Approach for Three-Dimensional Conformal Image Registration

Han, H., Wang, Z., & Zhang, Y. (2022) · SIAM Journal on Imaging Sciences · doi:10.1137/21m1455929 · Cited by 10

How Do Registration Parameters Affect Quantitation of Lung Kinematics?

Cook, T. S., Tustison, N. J., Biederer, J., Tetzlaff, R., & Gee, J. C. (2007) · Springer eBooks · doi:10.1007/978-3-540-75757-3_99 · Cited by 10

Geodesic Image Normalization and Temporal Parameterization in the Space of Diffeomorphisms

Avants, B., Epstein, C. L., & Gee, J. C. (2006) · Lecture notes in computer science · doi:10.1007/11812715_2 · Cited by 10

Incorporating DTI Data as a Constraint in Deformation Tensor Morphometry Between T1 MR Images

Studholme, C. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-73273-0_19 · Cited by 10

Volume Preserving Image Registration

Haber, E., & Jan Modersitzki, C. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30135-6_72 · Cited by 10

Bayesian Deformable Models Building via Stochastic Approximation Algorithm: A Convergence StudyPreprint

Allassonnière, S., Kuhn, E., & Trouvé, A. (2007) · arXiv (Cornell University) · Cited by 10

Steady‐state first‐pass perfusion (SSFPP): A new approach to 3D first‐pass myocardial perfusion imaging

Giri, S., Xue, H., Maiseyeu, A., Kroeker, R. M., Rajagopalan, S., White, R. D., Zuehlsdorff, S., Raman, S. V., & Simonetti, O. P. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24638 · Cited by 9

Automatic Registration of Mammograms Using Texture-Based Anisotropic Features

Wang, K., Qin, H., Fisher, P. R., & Zhao, W. (2006) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2006.1625055 · Cited by 9

Simultaneous myocardial strain and dark‐blood perfusion imaging using a displacement‐encoded MRI pulse sequence

Le, Y., Stein-Merlob, A. F., Berry, C., Kellman, P., Bennett, E. E., Taylor, J. F., Lucas, K., Kopace, R., Chefd’hotel, C., Lorenz, C. H., et al. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22461 · Cited by 9

Mutual Information for Multi-modal, Discontinuity-Preserving Image Registration

Panin, G. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33191-6_8 · Cited by 9

Recursive Green’s Function Registration

Beuthien, B., Kamen, A., & Fischer, B. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15745-5_67 · Cited by 9

Generalization of Deformable Registration in Riemannian Sobolev Spaces

Zikic, D., Baust, M., Kamen, A., & Navab, N. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15745-5_72 · Cited by 9

Geodesic Image Interpolation: Parameterizing and Interpolating Spatiotemporal Images

Avants, B., Epstein, C. L., & Gee, J. C. (2005) · Lecture notes in computer science · doi:10.1007/11567646_21 · Cited by 9

Measuring Myocardial Deformations in Tagged MR Image Sequences Using Informational Non-rigid Registration

Petitjean, C., Rougon, N. F., Preteux, F. J., Cluzel, P., & Greniér, P. (2003) · Lecture notes in computer science · doi:10.1007/3-540-44883-7_17 · Cited by 9

Quantification of myocardial function using tagged MR and cine MR images

Petitjean, C., Rougon, N. F., Cluzel, P., Pr�teux, F., & Greniér, P. (2004) · International journal of cardiac imaging · doi:10.1007/s10554-004-1098-6 · Cited by 9

fMRI bold signal analysis using a novel nonparametric statistical method

Mazière, P. D., & Hulle, M. M. V. (2006) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2006.12.001 · Cited by 9

Optimized GPU implementation of learning-based non-rigid multi-modal registration

Fan, Z. Y., Vetter, C., Guetter, C., Yu, D. N., Westermann, R., Kaufman, A. E., & Xu, C. (2008) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.770735 · Cited by 9

Parallel nonlinear registration of medical images with a priori information on anatomy and pathology

Stefanescu, R.-C. (2005) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 8

3D diffeomorphic image registration with Cauchy–Riemann constraint and lower bounded deformation divergence

Han, H., & Wang, Z. (2022) · ESAIM Mathematical Modelling and Numerical Analysis · doi:10.1051/m2an/2022080 · Cited by 8

A Robust Probabilistic Model for Motion Layer Separation in X-ray Fluoroscopy

Fischer, P., Pohl, T., Köhler, T., Maier, A., & Joachim Hornegger, A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-19992-4_22 · Cited by 8

Interpolation of Histological Slices by Means of Non-rigid Registration

Gaffling, S., Jäger, F., Daum, V., Tauchi, M., & Lütjen-Drecoll, E. (2009) · Informatik aktuell · doi:10.1007/978-3-540-93860-6_54 · Cited by 8

Automatic model‐based semantic registration of multimodal MRI knee data

Xue, N., Döllinger, M., Fripp, J., Ho, C. P., Surowiec, R. K., & Schwarz, R. (2014) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24609 · Cited by 8

Efficient registration of multitemporal and multisensor aerial images based on alignment of nonparametric edge features

Makrogiannis, S. K., & Bourbakis, N. (2010) · Journal of Electronic Imaging · doi:10.1117/1.3293436 · Cited by 8

Region-driven statistical nonrigid registration: application to model-based segmentation and tracking of the heart in perfusion MRI

Rougon, N. F., Discher, A., & Preteux, F. J. (2005) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.619423 · Cited by 8

Non-rigid registration of medical images based on estimation of deformation states

Marami, B., Sirouspour, S., & Capson, D. W. (2014) · Physics in Medicine and Biology · doi:10.1088/0031-9155/59/22/6891 · Cited by 8

Edge-Based Multi-modal Registration and Application for Night Vision Devices

Sutour, C., Aujol, J., Deledalle, C., & de Senneville, B. D. (2015) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-014-0554-8 · Cited by 8

A FINITE ELEMENT METHOD FOR ELASTIC PARAMETERIZATION AND ALIGNMENT OF CORTICAL SURFACES USING SULCAL CONSTRAINTS

Joshi, A. A., Shattuck, D. W., Thompson, P. M., & Leahy, R. M. (2007) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2007.356933 · Cited by 8

Deformable multi-modal image registration by maximizing Rényi's statistical dependence measure

Chen, Y., Shi, J.-L., Rao, M., & Lee, J. (2015) · Inverse Problems and Imaging · doi:10.3934/ipi.2015.9.79 · Cited by 7

Multimodal non-rigid image registration based on elastodynamics

Ahmad, S., & Khan, M. F. (2016) · The Visual Computer · doi:10.1007/s00371-016-1307-z · Cited by 8

LAT: Local area transform for cross modal correspondence matching

Ryu, S., Kim, S., & Sohn, K. (2016) · Pattern Recognition · doi:10.1016/j.patcog.2016.10.006 · Cited by 8

Grid Enabled Non-rigid Registration with a Dense Transformation and a priori Information

Stefanescu, R., Pennec, X., & Ayache, N. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-39903-2_98 · Cited by 8

Comparison of 3D dense deformable registration methods for breath-hold reproducibility study in radiotherapy

Boldea, V., Sarrut, D., & Carrié, C. (2005) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.594906 · Cited by 8

A GPU Implementation of Level Set Multiview Stereo

Labatut, P., Keriven, R., & Pons, J.-P. (2006) · Lecture notes in computer science · doi:10.1007/11758549_33 · Cited by 8

MIRRIFT: Multimodal Image Rotation and Resolution Invariant Feature Transformation

Geng, Z., Yang, B., Pi, Y., Fan, Z., Dong, Y., Huang, K., & Wang, M. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3554642 · Cited by 7

A pre-operative CT and non-contrast-enhanced C-arm CT registration framework for trans-catheter aortic valve implantation

Lu, Y., Sun, Y., Liao, R., & Ong, S. H. (2014) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2014.06.021 · Cited by 7

Bimodal Nonrigid Registration of Brain MRI Data With Deconvolution of Joint Statistics

Pilutti, D., Strumia, M., & Hadjidemetriou, S. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2336546 · Cited by 7

Quantitative Evaluation of Activation State in Functional Brain Imaging

Hu, Z., Ni, P., Liu, C., Zhao, X., Liu, H., & Shi, P. (2012) · Brain Topography · doi:10.1007/s10548-012-0230-5 · Cited by 7

Using Prior Information To Enhance Sensitivity of Longitudinal Brain Change Computation

Fletcher, E. M. (2014) · WORLD SCIENTIFIC eBooks · doi:10.1142/9789814611107_0004 · Cited by 7

Diffeomorphic Image Registration with An Optimal Control Relaxation and Its Implementation

Zhang, J., & Li, Y. (2021) · SIAM Journal of Imaging Sciences · doi:10.1137/21m1391274 · Cited by 8

Nonlinear registration using variational principle for mutual information

Zhilkin, P., Alexander, M., & Sun, J.-K. (2008) · Pattern Recognition · doi:10.1016/j.patcog.2008.02.001 · Cited by 7

Non-rigid registration and KLT filter to improve SNR and CNR in GRE-EPI myocardial perfusion imaging

Mihai, G., Ding, Y., Xue, H., Chung, Y., Rajagopalan, S., Guehring, J., & Simonetti, O. P. (2012) · Journal of Biomedical Science and Engineering · doi:10.4236/jbise.2012.512a110 · Cited by 7

Aircraft classification with a low resolution infrared sensor

Maire, F., Lefebvre, S., Moulines, É., & Douc, R. (2011) · IEEE Statistical Signal Processing Workshop (SSP) · doi:10.1109/ssp.2011.5967815 · Cited by 7

Locally Orderless Registration for Diffusion Weighted Images

Jensen, H. G., Lauze, F., Nielsen, M., & Darkner, S. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24571-3_37 · Cited by 7

Accuracy and Time-Efficiency of an Automated Software Tool to Assess Left Ventricular Parameters in Cardiac Magnetic Resonance Imaging

Leal, P. B., Caballeros, M., Larragán, A. Q., Núñez-Córdoba, J. M., González, Ó. F., Ezponda, A., & Bastarrika, G. (2019) · Journal of Thoracic Imaging · doi:10.1097/rti.0000000000000459 · Cited by 7

A Variational Image Registration Approach Based on Curvature Scale Space

Henn, S., & Witsch, K. (2005) · Lecture notes in computer science · doi:10.1007/11408031_13 · Cited by 7

Deformable Registration of Textured Range Images by Using Texture and Shape Features

Sagawa, R., Osawa, N., & Yagi, Y. (2007) · International Conference on 3-D Digital Imaging and Modeling (3DIM) · doi:10.1109/3dim.2007.18 · Cited by 7

Unifying Characterization of Deformable Registration Methods Based on the Inherent Parametrization

Zikic, D., Kamen, A., & Navab, N. (2010) · Workshop on Biomedical Image Registration · doi:10.1007/978-3-642-14366-3_15 · Cited by 9

Aircraft classification with a low resolution infrared sensor

Lefebvre, S., Allassonnière, S., Jakubowicz, J., Lasne, T., & Moulines, É. (2012) · Machine Vision and Applications · doi:10.1007/s00138-012-0437-1 · Cited by 6

Correlating Tumour Histology and ex vivo MRI Using Dense Modality-Independent Patch-Based Descriptors

Hallack, A., Papież, B. W., Wilson, J. M., Wang, L. M., Maughan, T., Gooding, M. J., & Schnabel, J. A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-28194-0_17 · Cited by 6

Localization and Grading of Building Roof Damages in High-Resolution Aerial Images

Böge, M., Bulatov, D., & Lucks, L. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-41590-7_21 · Cited by 6

Image registration based on kernel-predictability

Gómez-García, H. F., Marroquin, J. L., & Horebeek, J. V. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2008.02.001 · Cited by 6

Spatial Information Encoded Mutual Information for Nonrigid Registration

Zhuang, X., Hawkes, D. J., & Sebastien Ourselin, A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-14366-3_22 · Cited by 6

A higher-order PDE-based image registration approach

Grimm, V., Henn, S., & Witsch, K. (2005) · Numerical Linear Algebra with Applications · doi:10.1002/nla.467 · Cited by 6

Optimisation methods for medical image registration

Klein, S. (2008) · Utrecht University Repository (Utrecht University) · doi:10.6100/ir802328 · Cited by 6

A bi-variant variational model for diffeomorphic image registration with relaxed Jacobian determinant constraints

Li, Y., Chen, K., Chen, C., & Zhang, J. (2024) · Applied Mathematical Modelling · doi:10.1016/j.apm.2024.02.033 · Cited by 5

Image Registration in Medical Imaging: Applications, Methods, and Clinical Evaluation

Hermosillo, G., Chefd’hotel, C., Herrmann, K., Bousquet, G., Bogoni, L., Chaudhuri, K., Fischer, D. R., Geppert, C., Janka, R., Krishnan, A. V., et al. (2011) · Springer eBooks · doi:10.1007/978-1-4419-8204-9_11 · Cited by 5

Hierarchical segmentation-assisted multimodal registration for MR brain images

Lu, H., Beisteiner, R., Nolte, L., & Reyes, M. (2013) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2013.03.004 · Cited by 5

A multiscale adaptive mask method for rigid intraoperative ultrasound and preoperative CT image registration

Zhang, Z., Liu, F., Tsui, H.-T., Lau, Y. Y., & Song, X. B. (2014) · Medical Physics · doi:10.1118/1.4895824 · Cited by 5

A Global-to-Local 2D Shape Registration in Implicit Spaces using Level Sets

Fahmi, R., & Farag, A. A. (2007) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2007.4379565 · Cited by 5

Multimodal image registration by elastic matching of edge sketches via optimal control

Angelov, A., O.-H.-S. 1., & Wagner, M. (2013) · Journal of Industrial and Management Optimization · doi:10.3934/jimo.2014.10.567 · Cited by 5

A Combination of the Total Variation Filter and a Fourth-Order Filter for Image Registration

Yang, X., Shen, C., Li, F., & Shen, C. (2015) · Mathematical Problems in Engineering · doi:10.1155/2015/235314 · Cited by 5

Comparison of performance between rigid and non-rigid software registering CT to FDG-PET

Wolz, G., Nömayr, A., Hothorn, T., Joachim Hornegger, A., Römer, W., Bautz, W. A., & Kuwert, T. (2007) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-007-0128-y · Cited by 5

A Generalized Image Registration Framework using Incomplete Image Information – with Applications to Lesion Mapping

Henn, S., Hömke, L., & Witsch, K. (2006) · Mathematics in industry · doi:10.1007/978-3-540-34767-5_1 · Cited by 5

Fast Predictive Multimodal Image RegistrationPreprint

Yang, X., Kwitt, R., Styner, M. A., & Niethammer, M. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1703.10902 · Cited by 5

An Optimal Control Approach for Texture Metamorphosis

Kabul, I., Pizer, S. M., Rosenman, J. G., & Niethammer, M. (2011) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2011.02067.x · Cited by 4

Moving propagation of suspicious myocardial infarction from delayed enhanced cardiac imaging to CINE MRI using hybrid image registration

Liu, Y., Xue, H., Guetter, C., Jolly, M., Chrisochoides, N. P., & Guehring, J. (2011) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2011.5872636 · Cited by 4

Learning to Locate Cortical Bone in MRI

Hermosillo, G., Raykar, V. C., & Zhou, X. S. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-35428-1_21 · Cited by 4

Nonlinear Registration Via Displacement Fields

Modersitzki, J., Heldmann, S., & Papenberg, N. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00300-6 · Cited by 4

Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation

Scholz, J. A. M., Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., & Beushausen, V. (2008) · Experiments in Fluids · doi:10.1007/s00348-008-0537-x · Cited by 4

Natural gradients for deformable registration

Zikic, D., Kamen, A., & Navab, N. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540019 · Cited by 4

Pre-processing techniques of thermal sequences applied to online welding monitoring

Hidalgo-Gato, R., Mingo, P., Higuera, J. M. L., & Saavedra, F. J. M. (2012) · Quantitative InfraRed Thermography Journal · doi:10.1080/17686733.2012.681882 · Cited by 4

A variational approach to spatially dependent non-rigid registration

Jäger, F., Han, J., Joachim Hornegger, A., & Kuwert, T. (2006) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.653047 · Cited by 4

Quasiconvex relaxation of multidimensional control problems with integrandsf(t,ξ,v)

Wagner, M. (2010) · ESAIM Control Optimisation and Calculus of Variations · doi:10.1051/cocv/2010008 · Cited by 4

Intensity Robust Viscous Fluid Deformation Based Morphometry Using Regionally Adapted Mutual Information

Studholme, C., Drapaca, C. S., & Cardenas, V. A. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2005.1616449 · Cited by 4

Image fusion and registration – a variational approach

Fischer, B., & Jan Modersitzki, C. (2006) · Springer eBooks · doi:10.1007/3-540-31768-6_16 · Cited by 4

3D SURFACE MATCHING WITH MUTUAL INFORMATION AND RIEMANN SURFACE STRUCTURES

Wang, Y., Chiang, M. C., & Thompson, P. M. (2005) · Cited by 4

Large scale problems arising from image registration

Fischer, B., & Modersitzki, J. (2004) · GAMM-Mitteilungen · doi:10.1002/gamm.201490006 · Cited by 8

An unbiased implementation of regularization mechanisms

Viéville, T. (2005) · Image and Vision Computing · doi:10.1016/j.imavis.2005.07.002 · Cited by 4

Unbiased group-wise alignment by iterative central tendency estimations

Craene, M. S. D., Macq, B. M. M., Marqués, F., Salembier, P., & Warfield, S. K. (2008) · Mathematical Modelling of Natural Phenomena · doi:10.1051/mmnp:2008079 · Cited by 4

Model-based nonrigid image registration using scale-invariant features

Zhang, J.-Y., & Wang, J. (2013) · International Conference on Signal Processing, Communications and Computing · doi:10.1109/icspcc.2013.6664025 · Cited by 3

Fast Geodesic Active Fields for Image Registration Based on Splitting and Augmented Lagrangian Approaches

Zosso, D. P., Bresson, X., & Thiran, J. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2253473 · Cited by 3

Extending the quadratic taxonomy of regularizers for nonparametric registration

Cahill, N. D., Noble, J. A., & Hawkes, D. J. (2010) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.844464 · Cited by 3

A variational approach for optimizing quadratic mutual information for medical image registration

Singh, A., Zhu, Y., & Chefd’hotel, C. (2012) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2012.6287940 · Cited by 3

A direct method for the solution of an optimal control problem arising from image registration

Wagner, M. (2012) · Numerical Algebra Control and Optimization · doi:10.3934/naco.2012.2.487 · Cited by 3

Alignment of Building Footprints Using Quasi-Nadir Aerial Photography

Bulatov, D. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-20205-7_30 · Cited by 3

Triple-Input-Unsupervised neural Networks for deformable image registration

Qu, L., Wan, W., Guo, K., Liu, Y., Tang, J., Li, X., & Wu, J. (2021) · Pattern Recognition Letters · doi:10.1016/j.patrec.2021.08.032 · Cited by 3

Guided ultrasound acquisition for nonrigid image registration using reinforcement learning

Saeed, S. U., Ramalhinho, J., Montaña-Brown, N., Bonmati, E., Pereira, S. P., Davidson, B. R., Clarkson, M. J., & Hu, Y. (2025) · Medical Image Analysis · doi:10.1016/j.media.2025.103555 · Cited by 3

Nonrigid Image Registration Problem Using Fluid Dynamics and Mutual Information

(2014) · Journal of Biometrics & Biostatistics · doi:10.4172/2155-6180.s12-004 · Cited by 3

Registration of Pre-Operative CT and Non-Contrast-Enhanced C-Arm CT: An Application to Trans-Catheter Aortic Valve Implantation (TAVI)

Lu, Y., Sun, Y., Liao, R., & Ong, S. H. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-37444-9_21 · Cited by 3

A Novel Shape Registration Framework and Its Application to 3D Face Recognition in the Presence of Expressions

Fahmi, R., & Farag, A. A. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-89646-3_28 · Cited by 3

Learning-based deformable registration using weighted mutual information

Lu, Y., Liao, R., Zhang, L., Sun, Y., Chefd’hotel, C., & Ong, S. H. (2012) · National University of Singapore · Cited by 3

Multimodal Stereo from Thermal Infrared and Visible Spectrum

Barrera, F. (2014) · ELCVIA Electronic Letters on Computer Vision and Image Analysis · doi:10.5565/rev/elcvia.619 · Cited by 3

An implicit non-linear numerical scheme for illumination-robust variational optical flow

Fazekas, S., Chetverikov, D., & Molnar, J. (2009) · British Machine Vision Conference (BMVC) · doi:10.5244/c.23.46 · Cited by 3

c ○ 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. Variational Methods for Multimodal Image Matching

Hermosillo, G., & Faugeras, O. D. (2001)

A statistical similarity measure for non-rigid multi-modal image registration

Shi, J.-L., Chen, Y., Rao, M., & Lee, J. (2010) · Medical Imaging · doi:10.1117/12.844553 · Cited by 4

A Variational Approach to Multi-Modal Image Matching

Chefd'Hotel, G., Hermosillo, G., Hermosillo, G., Faugeras, O. D., & Robotvis, P. (2001)

Non-rigid multimodal image registration based on local variability measures and optical flow

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Non-Rigid Multimodal Medical Image Registration Based on the Conditional Statistics of the Joint Intensity Distribution

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