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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Three-dimensional computer vision: a geometric viewpoint

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Alignment by Maximization of Mutual Information

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Three-Dimensional Nonrigid MR-TRUS Registration Using Dual Optimization

Sun, Y., Yuan, J., Qiu, W., Rajchl, M., Romagnoli, C., & Fenster, A. (2015) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2375207 · Cited by 35

Aligning and Updating Cadaster Maps with Aerial Images by Multi-task, Multi-resolution Deep Learning

Girard, N., Charpiat, G., & Tarabalka, Y. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-20873-8_43 · Cited by 38

Real-time multimodal image registration with partial intraoperative point-set data

Baum, Z. M. C., Hu, Y., & Barratt, D. C. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102231 · Cited by 38

Integration of cardiac and respiratory motion into MRI roadmaps fused with x‐ray

Faranesh, A. Z., Kellman, P., Ratnayaka, K., & Lederman, R. J. (2013) · Medical Physics · doi:10.1118/1.4789919 · Cited by 37

Variational Adaptive Correlation Method for Flow Estimation

Becker, F., Wieneke, B., Petra, S., Schröder, A., & Schnörr, C. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2181524 · Cited by 37

Micro-Structural Brain Alterations in Aviremic HIV+ Patients with Minor Neurocognitive Disorders: A Multi-Contrast Study at High Field

Granziera, C., Daducci, A., Simioni, S., Cavassini, M. L., Roche, A., Meskaldji, D. E., Kober, T., Métral, M., Calmy, A., Helms, G., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072547 · Cited by 36

Free-breathing T2* mapping using respiratory motion corrected averaging

Kellman, P., Xue, H., Spottiswoode, B. S., Sandino, C. M., Hansen, M. S., Abdel‐Gadir, A., Treibel, T. A., Rosmini, S., Mancini, C., Bandettini, W. P., et al. (2015) · Journal of Cardiovascular Magnetic Resonance · doi:10.1186/s12968-014-0106-9 · Cited by 36

Image registration using mutual information

Maes, F., Loeckx, D., Vandermeulen, D., & Suetens, P. (2015) · Springer eBooks · doi:10.1007/978-0-387-09749-7_16 · Cited by 36

Deep learning based synthetic CT from cone beam CT generation for abdominal paediatric radiotherapy

Szmul, A., Taylor, S., Lim, P. S., Cantwell, J., Moreira, I., Zhang, Y., D’Souza, D., Moinuddin, S. A., Gaze, M. N., Gains, J. E., et al. (2023) · Physics in Medicine and Biology · doi:10.1088/1361-6560/acc921 · Cited by 36

PCATMIP: Enhancing signal intensity in diffusion‐weighted magnetic resonance imaging

Pai, V. M., Rapacchi, S., Kellman, P., Croisille, P., & Wen, H. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22748 · Cited by 35

Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation

Hong, B., Prados, E., Soatto, S., & Vese, L. A. (2006) · 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.2006.277 · Cited by 35

Gender, BMI and T2 dependencies of glycosaminoglycan chemical exchange saturation transfer in intervertebral discs

Müller‐Lutz, A., Schleich, C., Schmitt, B., Antoch, G., Matuschke, F., Quentin, M., Wittsack, H., & Miese, F. R. (2015) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2015.10.024 · Cited by 34

Diffeomorphic demons using normalized mutual information, evaluation on multimodal brain MR images

Marc Modat, A., Vercauteren, T. K., Ridgway, G. R., Hawkes, D. J., Fox, N. C., & Sebastien Ourselin, A. (2010) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.843962 · Cited by 34

Non-Rigid Image Registration With Dynamic Gaussian Component Density and Space Curvature Preservation

Yang, Z., Yang, Y., Yang, K., & Wei, Z. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2887204 · Cited by 34

Consistent multi-modal non-rigid registration based on a variational approach

Zhang, Z., Jiang, Y., & Tsui, H.-T. (2005) · Pattern Recognition Letters · doi:10.1016/j.patrec.2005.10.018 · Cited by 34

Combining landmark and intensity driven registrations

Fischer, B., & Jan Modersitzki, C. (2003) · PAMM · doi:10.1002/pamm.200310309 · Cited by 33

Dynamic trees for unsupervised segmentation and matching of image regions

Todorović, S., & Nechyba, M. C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.219 · Cited by 33

Atmospheric Turbulence Restoration by Diffeomorphic Image Registration and Blind Deconvolution

Gilles, J., Dagobert, T., & de Franchis, C. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88458-3_36 · Cited by 32

Optimizing multiphoton fluorescence microscopy light collection from living tissue by noncontact total emission detection (epiTED)

Combs, C. A., SMIRNOV, A., Chess, D. J., McGavern, D. B., Schroeder, J., RILEY, J., KANG, S. S., Luger-Hamer, M., Gandjbakhche, A., Knutson, J. R., et al. (2010) · Journal of Microscopy · doi:10.1111/j.1365-2818.2010.03411.x · Cited by 31

Optimization of Non-rigid Demons Registration Using Cuckoo Search Algorithm

Chakraborty, S., Dey, N., Samanta, S., Ashour, A. S., Barna, C., & Balas, M. M. (2017) · Cognitive Computation · doi:10.1007/s12559-017-9508-y · Cited by 31

Geodesic Active Fields—A Geometric Framework for Image Registration

Zosso, D. P., Bresson, X., & Thiran, J. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2093904 · Cited by 31

A Viscous Fluid Model for Multimodal Non-rigid Image Registration Using Mutual Information

D’Agostino, E., Maes, F., Vandermeulen, D., & Suetens, P. (2002) · Lecture notes in computer science · doi:10.1007/3-540-45787-9_68 · Cited by 31

Efficient Convex Optimization Approach to 3D Non-rigid MR-TRUS Registration

Sun, Y., Yuan, J., Rajchl, M., Qiu, W., Romagnoli, C., & Fenster, A. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40811-3_25 · Cited by 30

A Full Curvature Based Algorithm for Image Registration

Henn, S. (2006) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-005-3621-3 · Cited by 30

Short Communication: Subcellular Motion Compensation for Minimally Invasive Microscopy, In Vivo

Schroeder, J., Luger-Hamer, M., Pursley, R. H., Pohida, T., Chefd’hotel, C., Kellman, P., & Balaban, R. S. (2010) · Circulation Research · doi:10.1161/circresaha.109.211946 · Cited by 29

Entropy-based Image Registration

Sabuncu, M. R. (2006) · Cited by 28

Registration of visible and near infrared unmanned aerial vehicle images based on Fourier-Mellin transform

Rabatel, G., & Labbé, S. (2016) · Precision Agriculture · doi:10.1007/s11119-016-9437-x · Cited by 28

Computational Methods for Nonlinear Image Registration

Ulrich Clarenz, A., Droske, M., Henn, S., Rumpf, M., & Witsch, K. (2006) · Mathematics in industry · doi:10.1007/978-3-540-34767-5_4 · Cited by 28

Variational Stereovision and 3D Scene Flow Estimation with Statistical Similarity Measures

Pons, J.-P., Keriven, R., Faugeras, O. D., & Hermosillo, G. (2003) · Cited by 28

Well-Posedness of Two Nonrigid Multimodal Image Registration Methods

Hermosillo, G., & Faugeras, O. D. (2004) · SIAM Journal on Applied Mathematics · doi:10.1137/s0036139903424904 · Cited by 27

A multi-platform approach to image guided radiation therapy (IGRT)

Amies, C., Bani‐Hashemi, A. R., Celi, J., Grousset, G., Ghelmansarai, F. A., Hristov, D. H., Lane, D., Mitschke, M. M., Singh, A. P., Shukla, H. P., et al. (2006) · Medical dosimetry · doi:10.1016/j.meddos.2005.12.013 · Cited by 27

Learning Brightness Transfer Functions for the Joint Recovery of Illumination Changes and Optical Flow

Demetz, O., Stoll, M., Volz, S., Weickert, J., & Bruhn, A. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10590-1_30 · Cited by 26

Local Mutual Information for Dissimilarity-Based Image Segmentation

Gueguen, L., Velasco-Forero, S., & Soille, P. (2013) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-013-0432-9 · Cited by 26

Non-rigid multi-modal registration on the GPU

Vetter, C., Guetter, C., Xu, C., & Westermann, R. (2007) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.709629 · Cited by 26

Combining Boundary-Based Methods With Tensor-Based Morphometry in the Measurement of Longitudinal Brain Change

Fletcher, E. M., Knaack, A., Singh, B., Lloyd, E., Wu, E. F., Carmichael, O. T., & DeCarli, C. S. (2012) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2012.2220153 · Cited by 26

Fourier Methods for Nonparametric Image Registration

Cahill, N. D., Noble, J. A., & Hawkes, D. J. (2007) · 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.2007.383424 · Cited by 26

Symmetric inverse consistent nonlinear registration driven by mutual information

Tao, G., He, R., Datta, S., & Narayana, P. A. (2009) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2009.01.011 · Cited by 26

Free-breathing motion-corrected late-gadolinium-enhancement imaging improves image quality in children

Olivieri, L., Cross, R. J., O’Brien, K., Xue, H., Kellman, P., & Hansen, M. S. (2016) · Pediatric Radiology · doi:10.1007/s00247-016-3553-7 · Cited by 25

Fast predictive multimodal image registration

Yang, X., Kwitt, R., Styner, M. A., & Niethammer, M. (2017) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2017.7950652 · Cited by 27

A computational framework for image-based constrained registration

Haber, E., Heldmann, S., & Modersitzki, J. (2009) · Linear Algebra and its Applications · doi:10.1016/j.laa.2009.03.020 · Cited by 26

Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization

Papież, B. W., Franklin, J. M., Heinrich‬, M. P., Gleeson, F. V., & Schnabel, J. A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_51 · Cited by 23

Locally Orderless Registration

Darkner, S., & Jon Sporring, A. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.238 · Cited by 23

Improvement of gagCEST imaging in the human lumbar intervertebral disc by motion correction

Müller‐Lutz, A., Schleich, C., Schmitt, B., Topgöz, M., Pentang, G., Antoch, G., Wittsack, H., & Miese, F. R. (2014) · Skeletal Radiology · doi:10.1007/s00256-014-2034-z · Cited by 23

Cardiac segmentation in MR cine data using inverse consistent deformable registration

Jolly, M., Guetter, C., & Guehring, J. (2010) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2010.5490305 · Cited by 23

Automatic Parameter Selection for Multimodal Image Registration

Hahn, D. A., Daum, V., & Joachim Hornegger, A. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2010.2041358 · Cited by 23

Multi-modal 2D-3D non-rigid registration

Prümmer, M., Joachim Hornegger, A., Pfister, M., & Dörfler, A. (2006) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.652321 · Cited by 23

Validation of Non-Rigid Registration Between Functional and Anatomical Magnetic Resonance Brain Images

Gholipour, A., Kehtarnavaz, N., Briggs, R. W., Gopinath, K., Ringe, W. K., Whittemore, A. R., Cheshkov, S., & Bakhadirov, K. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.912641 · Cited by 23

Dense feature deformation morphometry: Incorporating DTI data into conventional MRI morphometry

Studholme, C. (2008) · Medical Image Analysis · doi:10.1016/j.media.2008.03.010 · Cited by 23

Multi-class Posterior Atlas Formation via Unbiased Kullback-Leibler Template Estimation

Lorenzen, P., Davis, B. C., Gerig, G., Bullitt, E., & Joshi, S. C. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30135-6_12 · Cited by 23

Variational, geometric, and statistical methods for modeling brain anatomy and function

Faugeras, O. D., Adde, G., Charpiat, G., Chefd’hotel, C., Clerc, M., Deneux, T., Rachid Deriche, B., Hermosillo, G., Keriven, R., Kornprobst, P., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.015 · Cited by 22

Automatic segmentation of cardiac MRI cines validated for long axis views

Tsadok, Y., Petrank, Y. F., Sarvari, S. I., Edvardsen, T., & Adam, D. R. (2013) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2013.09.002 · Cited by 21

WarpDrive: Improving spatial normalization using manual refinements

Oxenford, S., Ríos, A. S., Hollunder, B., Neudorfer, C., Boutet, A., Elias, G. J. B., Germann, J., Loh, A., Deeb, W., Salvato, B., et al. (2023) · Medical Image Analysis · doi:10.1016/j.media.2023.103041 · Cited by 21

Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI

Rougon, N., Petitjean, C., & Prêteux, F. (2004) · SPIE Medical Imaging · doi:10.1117/12.535609 · Cited by 28

Underwater image matching with efficient refractive-geometry estimation for measurement in glass-flume experiments

Sun, H., Du, H. C., Li, M., Sun, H., & Zhang, X. (2019) · Measurement · doi:10.1016/j.measurement.2019.107391 · Cited by 21

Robust Nonrigid Multimodal Image Registration Using Local Frequency Maps

Jian, B., Vemuri, B. C., & Marroquin, J. L. (2005) · Lecture notes in computer science · doi:10.1007/11505730_42 · Cited by 21

Three‐dimensional motion tracking for high‐resolution optical microscopy, in vivo

Bakalar, M. H., Schroeder, J., Pursley, R. H., Pohida, T. J., Glancy, B. C., TAYLOR, J., Chess, D. J., Kellman, P., XUE, H., & Balaban, R. S. (2012) · Journal of Microscopy · doi:10.1111/j.1365-2818.2012.03613.x · Cited by 20

Image Registration Based on Multiscale Energy Information

Henn, S., & Witsch, K. (2005) · Multiscale Modeling and Simulation · doi:10.1137/040604194 · Cited by 20

MultiGradICON: A Foundation Model for Multimodal Medical Image Registration

Demir, B., Tian, L., Greer, H., Kwitt, R., Vialard, F., Estépar, R. S. J., Sylvain Bouix, A., Rushmore, J., Ebrahim, E., & Niethammer, M. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-73480-9_1 · Cited by 22

Diagnostic Accuracy of 3.0‐T Magnetic Resonance T1 and T2 Mapping and T2‐Weighted Dark‐Blood Imaging for the Infarct‐Related Coronary Artery in Non–ST‐Segment Elevation Myocardial Infarction

Layland, J. J., Rauhalammi, S. M. O., Lee, M. M. Y., Ahmed, N., Carberry, J., May, V. T. Y., Watkins, S., McComb, C., Mangion, K., McClure, J., et al. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.116.004759 · Cited by 19

Total Variation Based Image Registration

Hömke, L., Frohn-Schauf, C., Henn, S., & Witsch, K. (2006) · Mathematics and visualization · doi:10.1007/978-3-540-33267-1_19 · Cited by 19

Automatic Georeferencing of Airborne Pushbroom Scanner Images With Missing Ancillary Data Using Mutual Information

Cariou, C., & Chehdi, K. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.916206 · Cited by 19

Image registration and mosaicing for dynamic In vivo fibered confocal microscopyPreprint

Vercauteren, T. K. (2008) · Cited by 19

Prognostic value of right ventricular native T1 mapping in pulmonary arterial hypertension

Asano, R., Ogo, T., Morita, Y., Kotoku, A., Aoki, T., Hirakawa, K., Nakayama, S., Ueda, J., Tsuji, A., Waddingham, M. T., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0260456 · Cited by 18

Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field

Papież, B. W., Heinrich‬, M. P., Risser, L., & Schnabel, J. A. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40760-4_4 · Cited by 18

Accurate Inverse Consistent Non-rigid Image Registration and Its Application on Automatic Re-contouring

Zeng, Q., & Chen, Y. (2008) · International Symposium on Bioinformatics Research and Applications · doi:10.1007/978-3-540-79450-9_28 · Cited by 17

Free-Form Registration Using Mutual Information and Curvature Regularization

D’Agostino, E., Jan Modersitzki, C., Maes, F., Vandermeulen, D., Fischer, B., & Suetens, P. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-39701-4_2 · Cited by 18

Atlas-Based Indexing of Brain Sections via 2-D to 3-D Image Registration

Gefen, S., Kiryati, N., & Nissanov, J. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.899361 · Cited by 18

Software for non‐parametric image registration of 2‐photon imaging data

Flotho, P., Nomura, S., Kühn, B., & Strauß, D. J. (2022) · Journal of Biophotonics · doi:10.1002/jbio.202100330 · Cited by 17

Non-rigid registration of images with geometric and photometric deformation by using local affine Fourier-moment matching

Su, H., & Lai, S. (2015) · 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.2015.7298905 · Cited by 17

A New Fast Accurate Nonlinear Medical Image Registration Program Including Surface Preserving Regularization

Gruslys, A., Acosta‐Cabronero, J., Nestor, P. J., Williams, G. B., & Ansorge, R. E. (2014) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2332370 · Cited by 17

Organ-focused mutual information for nonrigid multimodal registration of liver CT and Gd–EOB–DTPA-enhanced MRI

Fernández-de-Manúel, L., Wollny, G., Kybic, J., Jiménez‐Carretero, D., Tellado, J. M., Ramon, E., Desco, M., Santos, A., Pascau, J., & Ledesma‐Carbayo, M. J. (2013) · Medical Image Analysis · doi:10.1016/j.media.2013.09.002 · Cited by 17

Fast Level Set Multi-View Stereo on Graphics Hardware

Labatut, P., Keriven, R., & Pons, J.-P. (2006) · International Symposium on 3D Data Processing, Visualization and Transmission · doi:10.1109/3dpvt.2006.62 · Cited by 17

A Bayesian Approach for Spatially Adaptive Regularisation in Non-rigid Registration

Simpson, I., Woolrich, M. W., Cardoso, M. J., Cash, D. M., Marc Modat, A., Schnabel, J. A., & Sebastien Ourselin, A. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40763-5_2 · Cited by 16

Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation

Cheng, E., Pang, Y., Zhu, Y., Jingyi Yu, A., & Ling, H. (2014) · 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.2014.391 · Cited by 16

Hybrid Spline-Based Multimodal Registration Using Local Measures for Joint Entropy and Mutual Information

Biesdorf, A., Wörz, S., Kaiser, H.-J., Stippich, C., & Rohr, K. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04268-3_75 · Cited by 16

Techniques and software tool for 3D multimodality medical image segmentation

Yang, D., Zheng, J., Nofal, A., Deasy, J. O., & Naqa, I. M. E. (2009) · Journal of Radiation Oncology · doi:10.3933/jroi-1-1-4 · Cited by 16

Visual servoing using the sum of conditional variance

Delabarre, B., & Marchand, É. (2012) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2012.6385540 · Cited by 16

REGISTRATION OF ULTRASOUND IMAGES USING AN INFORMATION-THEORETIC FEATURE DETECTOR

Wang, Z., Slabaugh, G., Unal, G., & Fang, T. (2007) · IEEE International Symposium on Biomedical Imaging · doi:10.1109/isbi.2007.356957 · Cited by 24

Application and assessment of a robust elastic motion correction algorithm to dynamic MRI

Herrmann, K., Wurdinger, S., Fischer, D. R., Krumbein, I., Schmitt, M., Hermosillo, G., Chaudhuri, K., Krishnan, A., Salganicoff, M., Kaiser, W. A., et al. (2006) · European Radiology · doi:10.1007/s00330-006-0224-3 · Cited by 14

Nonparametric Priors on the Space of Joint Intensity Distributions for Non-Rigid Multi-Modal Image Registration

Cremers, D., Guetter, C., & Xu, C. (2006) · 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.2006.211 · Cited by 14

Image statistics based on diffeomorphic matching

Charpiat, G., Faugeras, O. D., & Keriven, R. (2005) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2005.118 · Cited by 14

Quicksilver: Fast Predictive Image Registration - a Deep Learning ApproachPreprint

Yang, X., Kwitt, R., Styner, M. A., & Niethammer, M. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1703.10908 · Cited by 14

Deformable Image Registration: A Survey

Sotiras, A., & Nikos Paragios, A. (2012) · Cited by 13

Model based symmetric information theoretic large deformation multi-modal image registration

Lorenzen, P., Davis, B., & Joshi, S. C. (2005) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2004.1398639 · Cited by 13

A general preconditioning scheme for difference measures in deformable registration

Zikic, D., Baust, M., Kamen, A., & Navab, N. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126224 · Cited by 13

Mesh-based camera pairs selection and occlusion-aware masking for mesh refinement

Romanoni, A., & Matteucci, M. (2019) · Pattern Recognition Letters · doi:10.1016/j.patrec.2019.05.006 · Cited by 13

A Unified Image Registration Framework for ITK

Avants, B., Tustison, N. J., Song, G., Wu, B., Stauffer, M., McCormick, M. M., Johnson, H. J., & Gee, J. C. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-31340-0_28 · Cited by 13

Fast image registration - a variational approach

Fischerand, B., & Jan Modersitzki, C. (2003) · Cited by 13

14. COFIR: Coarse and Fine Image Registration

Jan Modersitzki, C., & Haber, E. (2007) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898718935.ch14 · Cited by 13

High resolution nonlinear registration with simultaneous modelling of intensitiesPreprint

Andersson, J., Jenkinson, M., & Smith, S. M. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/646802 · Cited by 13

Perfusion and ventilation filters for Fourier-decomposition MR lung imaging

Wujcicki, A., Corteville, D., Materka, A., & Schad, L. R. (2014) · Zeitschrift für Medizinische Physik · doi:10.1016/j.zemedi.2014.10.002 · Cited by 12

On Flexible Co-registration of Optical and SAR Satellite Images

Гнатушенко, В. В., Kogut, P. I., & Uvarov, M. V. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-54215-3_33 · Cited by 12

Automatic non-linear mapping of pre-procedure CT volumes to 3D ultrasound

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Generalized Partial Volume: An Inferior Density Estimator to Parzen Windows for Normalized Mutual Information

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