Variational Methods for Multimodal Image Matching

Partial Differential Equations

Chern, S.-S. (1988) · Lecture notes in mathematics · doi:10.1007/bfb0082920 · Cited by 23,546

Scale-space and edge detection using anisotropic diffusion

Perona, P., & Malik, J. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.56205 · Cited by 12,143

Untitled work

(1981) · Cited by 11,963

Mean shift: a robust approach toward feature space analysis

Comaniciu, D., & Meer, P. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.1000236 · Cited by 11,523

On Estimation of a Probability Density Function and Mode

Parzen, E. (1962) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177704472 · Cited by 10,831

Determining Optical Flow

Horn, B. K. P., & Schunck, B. G. (1981) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.965761 · Cited by 7,443

Multimodality image registration by maximization of mutual information

Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., & Suetens, P. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.563664 · Cited by 4,547

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

Duncan, J. S., & Ayache, N. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.824822 · Cited by 4,167

Three-dimensional computer vision: a geometric viewpoint

(1994) · Choice Reviews Online · doi:10.5860/choice.32-0357 · Cited by 3,032

Alignment by Maximization of Mutual Information

Viola, P. A., & Wells, W. M. (1997) · International Journal of Computer Vision · doi:10.1023/a:1007958904918 · Cited by 2,610

Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain

Avants, B., Epstein, C. L., Grossman, M., & Gee, J. C. (2007) · Medical Image Analysis · doi:10.1016/j.media.2007.06.004 · Cited by 5,924

A reproducible evaluation of ANTs similarity metric performance in brain image registration

Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.025 · Cited by 4,796

Diffeomorphic demons: Efficient non-parametric image registration

Vercauteren, T. K., Xavier Pennec, B., Aymeric Perchant, B., & Ayache, N. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.040 · Cited by 1,653

Deformable medical image registration: a survey

Sotiras, A., Davatzikos, C., & Paragios, N. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2265603 · Cited by 1,587

Medical image registration: a review

Oliveira, F. P. M., & Tavares, J. M. R. S. (2012) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2012.670855 · Cited by 782

MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration

Heinrich‬, M. P., Jenkinson, M., Bhushan, M., Matin, T., Gleeson, F. V., Brady, M., & Schnabel, J. A. (2012) · Medical Image Analysis · doi:10.1016/j.media.2012.05.008 · Cited by 703

The Insight ToolKit image registration framework

Avants, B. B., Tustison, N. J., Stauffer, M., Song, G., Wu, B., & Gee, J. C. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00044 · Cited by 658

Quicksilver: Fast predictive image registration – A deep learning approach

Yang, X., Kwitt, R., Styner, M., & Niethammer, M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.008 · Cited by 630

Fast parametric elastic image registration

Kybic, J., & Unser, M. A. (2003) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.813139 · Cited by 473

Medical image registration using mutual information

Maes, F., Vandermeulen, D., & Suetens, P. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2003.817864 · Cited by 436

Dense image registration through MRFs and efficient linear programming

Glocker, B., Nikos Komodakis, A., Tziritas, G., Navab, N., & Nikos Paragios, A. (2008) · Medical Image Analysis · doi:10.1016/j.media.2008.03.006 · Cited by 428

Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information

Klein, S., van der Heide, U. A., Lips, I. M., van Vulpen, M., Staring, M., & Pluim, J. P. W. (2008) · Medical Physics · doi:10.1118/1.2842076 · Cited by 422

Adaptive Stochastic Gradient Descent Optimisation for Image Registration

Klein, S., Pluim, J. P. W., Staring, M., & Viergever, M. A. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-008-0168-y · Cited by 387

Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach

Vercauteren, T. K., Pennec, X., Aymeric Perchant, B., & Ayache, N. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85988-8_90 · Cited by 356

Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network

Zhao, S., Lau, T., Luo, J., Chang, E., & Xu, Y. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2951024 · Cited by 327

Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score

Pons, J.-P., Keriven, R., & Faugeras, O. D. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-8671-5 · Cited by 279

A viscous fluid model for multimodal non-rigid image registration using mutual information

D’Agostino, E., Maes, F., Vandermeulen, D., & Suetens, P. (2003) · Medical Image Analysis · doi:10.1016/s1361-8415(03)00039-2 · Cited by 278

Brain Functional Localization: A Survey of Image Registration Techniques

Gholipour, A., Kehtarnavaz, N., Briggs, R. W., Devous, M. D., & Gopinath, K. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.892508 · Cited by 270

Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration

Heinrich‬, M. P., Jenkinson, M., Bhushan, M., Matin, T., Gleeson, F. V., Brady, J. M., & Schnabel, J. A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23629-7_66 · Cited by 271

Deformable Medical Image Registration: Setting the State of the Art with Discrete Methods

Glocker, B., Sotiras, A., Nikos Komodakis, A., & Nikos Paragios, A. (2011) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071910-124649 · Cited by 189

Ill-posed medicine—an introduction to image registration

Fischer, B., & Modersitzki, J. (2008) · Inverse Problems · doi:10.1088/0266-5611/24/3/034008 · Cited by 231

Structure- and motion-adaptive regularization for high accuracy optic flow

Wedel, A., Cremers, D., Pock, T., & Bischof, H. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459375 · Cited by 178

Numerical methods for volume preserving image registration

Haber, E., & Jan Modersitzki, C. (2004) · Inverse Problems · doi:10.1088/0266-5611/20/5/018 · Cited by 178

Whole-Body PET/MR Imaging: Quantitative Evaluation of a Novel Model-Based MR Attenuation Correction Method Including Bone

Paulus, D. H., Quick, H. H., Geppert, C., Fenchel, M., Zhan, Y., Hermosillo, G., Faul, D. D., Boada, F. E., Friedman, K. P., & Koesters, T. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.115.156000 · Cited by 175

Anterior Regions of Monkey Parietal Cortex Process Visual 3D Shape

Durand, J., Nelissen, K., Joly, O., Wardak, C., Todd, J. T., Norman, J. F., Janssen, P., Vanduffel, W., & Orban, G. A. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.040 · Cited by 176

Combined Volumetric and Surface Registration

Postelnicu, G. M., Zöllei, L., & Fischl, B. R. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2004426 · Cited by 172

The Retinotopic Organization of Primate Dorsal V4 and Surrounding Areas: A Functional Magnetic Resonance Imaging Study in Awake Monkeys

Fize, D., Vanduffel, W., Nelissen, K., Denys, K., d'Hotel, C. C., Faugeras, O. D., & Orban, G. A. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-19-07395.2003 · Cited by 165

Deformation-based mapping of volume change from serial brain MRI in the presence of local tissue contrast change

Studholme, C., Drapaca, C. S., Iordanova, B. E., & Cardenas, V. A. (2006) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2006.872745 · Cited by 164

Non-Rigid Multi-Modal Image Registration Using Cross-Cumulative Residual Entropy

Wang, F., & Vemuri, B. C. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-006-0011-2 · Cited by 136

Autonomous robot calibration using vision technology

Meng, Y., & Zhuang, H. (2006) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2006.05.002 · Cited by 127

Polyrigid and polyaffine transformations: A novel geometrical tool to deal with non-rigid deformations – Application to the registration of histological slices

Arsigny, V., Pennec, X., & Ayache, N. (2005) · Medical Image Analysis · doi:10.1016/j.media.2005.04.001 · Cited by 121

Multi-modal image set registration and atlas formation

Lorenzen, P., Prastawa, M. W., Davis, B. C., Gerig, G., Bullitt, E., & Joshi, S. C. (2005) · Medical Image Analysis · doi:10.1016/j.media.2005.03.002 · Cited by 120

Quantitative assessment of small bowel motility by nonrigid registration of dynamic MR images

Odille, F., Menys, A., Ahmed, A., Punwani, S., Taylor, S. A., & Atkinson, D. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23298 · Cited by 115

Avoiding a replication crisis in deep-learning-based bioimage analysis

Laine, R. F., Arganda‐Carreras, I., Henriques, R., & Jacquemet, G. (2021) · Nature Methods · doi:10.1038/s41592-021-01284-3 · Cited by 118

Magnetic resonance lung function – a breakthrough for lung imaging and functional assessment? A phantom study and clinical trial

Zapke, M., Topf, H., Zenker, M., Kuth, R., Deimling, M., Kreisler, P., Rauh, M., Chefd’hotel, C., Geiger, B., & Rupprecht, T. (2006) · Respiratory Research · doi:10.1186/1465-9921-7-106 · Cited by 114

A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis

Logsdon, B. A., Hoffman, G. E., & Mezey, J. G. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-58 · Cited by 115

Modelling Dynamic Scenes by Registering Multi-View Image Sequences

Pons, J.-P., Keriven, R., & Faugeras, O. D. (2005) · 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.2005.227 · Cited by 111

Multivariate Analysis of Structural and Diffusion Imaging in Traumatic Brain Injury

Avants, B., Duda, J., Kim, J., Zhang, H. G., Pluta, J. B., Gee, J. C., & Whyte, J. (2008) · Academic Radiology · doi:10.1016/j.acra.2008.07.007 · Cited by 112

Fluid Registration of Diffusion Tensor Images Using Information Theory

Chiang, M., Leow, A., Klunder, A. D., Dutton, R. A., Marina Barysheva, A., Rose, S., McMahon, K. L., de Zubicaray, G. I., Toga, A. W., & Thompson, P. M. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.907326 · Cited by 110

Multifield-Graphs: An Approach to Visualizing Correlations in Multifield Scalar Data

Sauber, N., Theisel, H., & Seidel, H. (2006) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2006.165 · Cited by 109

Advances and Opportunities in Remote Sensing Image Geometric Registration: A systematic review of state-of-the-art approaches and future research directions

Feng, R., Shen, H., Bai, J., & Li, X. (2021) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2021.3081763 · Cited by 108

Prostate biopsy tracking with deformation estimation

Baumann, M., Mozer, P., Daanen, V., & Troccaz, J. (2011) · Medical Image Analysis · doi:10.1016/j.media.2011.01.008 · Cited by 107

Nonrigid Coregistration of Diffusion Tensor Images Using a Viscous Fluid Model and Mutual Information

Hecke, W. V., Leemans, A., D’Agostino, E., Backer, S. D., Vandervliet, E. J. M., Parizel, P. M., & Sijbers, J. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.906786 · Cited by 106

Using Pulmonary Imaging to Move Chronic Obstructive Pulmonary Disease beyond FEV1

Coxson, H. O., Leipsic, J. A., Párraga, G., & Sin, D. D. (2014) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201402-0256pp · Cited by 101

A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations

Zhuang, X., Arridge, S., Hawkes, D. J., & Sebastien Ourselin, A. (2011) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2011.2150240 · Cited by 102

Construction of Bayesian deformable models via a stochastic approximation algorithm: A convergence study

Allassonnière, S., Kuhn, E., & Trouvé, A. (2010) · Bernoulli · doi:10.3150/09-bej229 · Cited by 97

Dual-Energy Micro-CT Functional Imaging of Primary Lung Cancer in Mice Using Gold and Iodine Nanoparticle Contrast Agents: A Validation Study

Ashton, J. R., Clark, D. P., Moding, E. J., Ghaghada, K. B., Kirsch, D. G., West, J. L., & Badea, C. T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088129 · Cited by 96

Wide-field in vivo background free imaging by selective magnetic modulation of nanodiamond fluorescence

Sarkar, S. K., Bumb, A., Wu, X., Sochacki, K. A., Kellman, P., Brechbiel, M. W., & Neuman, K. C. (2014) · Biomedical Optics Express · doi:10.1364/boe.5.001190 · Cited by 95

Estimation of slipping organ motion by registration with direction-dependent regularization

Schmidt-Richberg, A., Werner, R., Handels, H., & Ehrhardt, J. (2012) · Medical Image Anal. · doi:10.1016/j.media.2011.06.007 · Cited by 105

Deformable registration for image-guided radiation therapy

Sarrut, D. (2006) · Zeitschrift für Medizinische Physik · doi:10.1078/0939-3889-00327 · Cited by 94

Dixon Sequence with Superimposed Model-Based Bone Compartment Provides Highly Accurate PET/MR Attenuation Correction of the Brain

Koesters, T., Friedman, K. P., Fenchel, M., Zhan, Y., Hermosillo, G., Babb, J. S., Jelescu, I., Faul, D. D., Boada, F. E., & Shepherd, T. M. (2016) · Journal of Nuclear Medicine · doi:10.2967/jnumed.115.166967 · Cited by 92

Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus

Shi, J., Thompson, P. M., Gutman, B. A., & Wang, Y. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.018 · Cited by 92

Piecewise-diffeomorphic image registration: Application to the motion estimation between 3D CT lung images with sliding conditions

Risser, L., Vialard, F., Baluwala, H. Y., & Schnabel, J. A. (2012) · Medical Image Analysis · doi:10.1016/j.media.2012.10.001 · Cited by 88

Multi-modal and Multi-spectral Registration for Natural Images

Shen, X.-Y., Xu, L., Zhang, Q., & Jia, J.-Y. (2014) · European Conference on Computer Vision · doi:10.1007/978-3-319-10593-2_21 · Cited by 100

Non-rigid registration using free-form deformations

Rueckert, D., & Aljabar, P. (2015) · Springer eBooks · doi:10.1007/978-0-387-09749-7_15 · Cited by 87

Active Contours Based Segmentation and Lesion Periphery Analysis for Characterization of Skin Lesions in Dermoscopy Images

Riaz, F., Naeem, S., Nawaz, R., & Coimbra, M. T. (2018) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2018.2832455 · Cited by 86

Grid powered nonlinear image registration with locally adaptive regularization

Stefanescu, R.-C. (2004) · Medical Image Analysis · doi:10.1016/j.media.2004.06.010 · Cited by 84

An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration

Papież, B. W., Heinrich‬, M. P., Fehrenbach, J., Risser, L., & Schnabel, J. A. (2014) · Medical Image Analysis · doi:10.1016/j.media.2014.05.005 · Cited by 83

Registration of 4D Cardiac CT Sequences Under Trajectory Constraints With Multichannel Diffeomorphic Demons

Peyrat, J., Delingette, H., Maxime Sermesant, B., Xu, C., & Ayache, N. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2038908 · Cited by 83

Constructing Diffeomorphic Representations for the Groupwise Analysis of Nonrigid Registrations of Medical Images

Marsland, S., & Twining, C. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.831228 · Cited by 82

Metric Learning for Image Registration

Niethammer, M., Kwitt, R., & Vialard, F. (2019) · 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.2019.00866 · Cited by 81

PDE's based regularization of multivalued images and applications

Tschumperlé, D. (2002) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 76

Visual tracking using the sum of conditional variance

Richa, R., Sznitman, R., Taylor, R. H., & Hager, G. D. (2011) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2011.6094650 · Cited by 72

Learning Based Non-rigid Multi-modal Image Registration Using Kullback-Leibler Divergence

Guetter, C., Xu, C., Sauer, F., & Joachim Hornegger, A. (2005) · Lecture notes in computer science · doi:10.1007/11566489_32 · Cited by 69

Dual-Energy Micro-Computed Tomography Imaging of Radiation-Induced Vascular Changes in Primary Mouse Sarcomas

Moding, E. J., Clark, D. P., Qi, Y. P., Li, Y., Ma, Y., Ghaghada, K. B., Johnson, G. A., Kirsch, D. G., & Badea, C. T. (2012) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2012.09.027 · Cited by 69

Reconstruction of High-Resolution Tongue Volumes From MRI

Woo, J., Murano, E. Z., Stone, M. L., & Prince, J. L. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2218246 · Cited by 68

An Image Morphing Technique Based on Optimal Mass Preserving Mapping

Zhu, L., Yang, Y. X., Haker, S. J., & Tannenbaum, A. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.896637 · Cited by 68

Segmentation of kidneys using a new active shape model generation technique based on non-rigid image registration

Spiegel, M., Hahn, D. A., Daum, V., Wasza, J., & Joachim Hornegger, A. (2008) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2008.10.002 · Cited by 68

Nonrigid Registration of Joint Histograms for Intensity Standardization in Magnetic Resonance Imaging

Jager, F., & Joachim Hornegger, A. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2004429 · Cited by 66

Multimodal Stereo Vision System: 3D Data Extraction and Algorithm Evaluation

Barrera, F., Lumbreras, F., & Sappa, A. D. (2012) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2012.2204036 · Cited by 62

Simultaneous Registration of Multiple Images: Similarity Metrics and Efficient Optimization

Wachinger, C., & Navab, N. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.196 · Cited by 59

Combining Registration and Minimum Surfaces for the Segmentation of the Left Ventricle in Cardiac Cine MR Images

Jolly, M., Xue, H., Grady, L. J., & Guehring, J. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04271-3_110 · Cited by 58

A minimum description length objective function for groupwise non-rigid image registration

Marsland, S., Twining, C., & Taylor, C. (2006) · Image and Vision Computing · doi:10.1016/j.imavis.2006.12.009 · Cited by 57

Hybrid spectral CT reconstruction

Clark, D. P., & Badea, C. T. (2017) · PLoS ONE · doi:10.1371/journal.pone.0180324 · Cited by 58

FLIRT: A Flexible Image Registration Toolbox

Fischer, B., & Jan Modersitzki, C. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-39701-4_28 · Cited by 57

Cardiac C-Arm CT: A Unified Framework for Motion Estimation and Dynamic CT

Prümmer, M., Joachim Hornegger, A., Lauritsch, G., Wigström, L., Girard, E. E., & Fahrig, R. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2025499 · Cited by 57

A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures

Rougon, N. F., Petitjean, C., Preteux, F. J., Cluzel, P., & Greniér, P. (2005) · Medical Image Analysis · doi:10.1016/j.media.2005.01.005 · Cited by 54

Automatic in‐line quantitative myocardial perfusion mapping: Processing algorithm and implementation

Xue, H., Brown, L., Nielles‐Vallespin, S., Plein, S., & Kellman, P. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27954 · Cited by 55

Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming

Glocker, B., Nikos Komodakis, A., Nikos Paragios, A., Tziritas, G., & Navab, N. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-73273-0_34 · Cited by 55

Searching for a Salient Target Involves Frontal Regions

Wardak, C., Vanduffel, W., & Orban, G. A. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp315 · Cited by 54

Efficient symmetric and inverse-consistent deformable registration through interleaved optimization

Guetter, C., Xue, H., Chefd’hotel, C., & Guehring, J. (2011) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2011.5872476 · Cited by 53

Multivariate Normalization with Symmetric Diffeomorphisms for Multivariate Studies

Avants, B., Duda, J., Zhang, H. G., & Gee, J. C. (2007) · Springer eBooks · doi:10.1007/978-3-540-75757-3_44 · Cited by 52

Hybrid Feature-Based Diffeomorphic Registration for Tumor Tracking in 2-D Liver Ultrasound Images

Cifor, A., Risser, L., Chung, D. Y. F., Anderson, E. M., & Schnabel, J. A. (2013) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2262055 · Cited by 50

Multimodal Image Alignment Through a Multiscale Chain of Neural Networks with Application to Remote Sensing

Zampieri, A., Charpiat, G., Girard, N., & Tarabalka, Y. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01270-0_40 · Cited by 53

Variable Interactions in Query-Driven Visualization

Gosink, L., Anderson, J. C., Bethel, W., & Joy, K. I. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.70519 · Cited by 50

Symmetric Diffeomorphic Image Registration: Evaluating Automated Labeling of Elderly and Neurodegenerative Cortex and Frontal Lobe

Avants, B., Grossman, M., & Gee, J. C. (2006) · Lecture notes in computer science · doi:10.1007/11784012_7 · Cited by 48

The state-of-the-art in ultrasound-guided spine interventions

Gueziri, H.-E., Santaguida, C., & Collins, D. L. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101769 · Cited by 48

Automatic elastic image registration by interpolation of 3D rotations and translations from discrete rigid-body transformations

Walimbe, V., & Shekhar, R. (2006) · Medical Image Analysis · doi:10.1016/j.media.2006.09.002 · Cited by 47

Using prior shape and intensity profile in medical image segmentation

Chen, Y., Huang, F., Tagare, Rao, M., Wilson, & Geiser (2003) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238474 · Cited by 46

Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks

Eppenhof, K. A. J., Maspero, M., Savenije, M. H. F., de Boer, J. C. J., van Zyp, J. R. N. V. D. V., Raaymakers, B. W., Raaijmakers, A. J. E., Veta, M., van den Berg, C. A. T., & Pluim, J. P. W. (2019) · Medical Physics · doi:10.1002/mp.13994 · Cited by 46

A Coupled Minimization Problem for Medical Image Segmentation with Priors

Chen, Y., Huang, F., Tagare, H. D., & Rao, M. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-8524-2 · Cited by 44

Vision-Based Proximity Detection in Retinal Surgery

Richa, R., Balicki, M. A., Sznitman, R., Meisner, E. M., Taylor, R. H., & Hager, G. D. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2202903 · Cited by 44

Age‐dependency of glycosaminoglycan content in lumbar discs: A 3t gagcEST study

Müller‐Lutz, A., Schleich, C., Pentang, G., Schmitt, B., Lanzman, R. S., Matuschke, F., Wittsack, H., & Miese, F. R. (2015) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24945 · Cited by 41

Illumination-robust variational optical flow using cross-correlation

Molnár, J., Chetverikov, D., & Fazekas, S. (2010) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2010.07.006 · Cited by 41

An information theoretic approach for non-rigid image registration using voxel class probabilities

D’Agostino, E., Maes, F., Vandermeulen, D., & Suetens, P. (2005) · Medical Image Analysis · doi:10.1016/j.media.2005.03.004 · Cited by 41

Fast Deformable Registration of 3D-Ultrasound Data Using a Variational Approach

Zikic, D., Wein, W., Khamene, A., Clevert, D., & Navab, N. (2006) · Lecture notes in computer science · doi:10.1007/11866565_112 · Cited by 40

Automatic 3D registration of dynamic stress and rest 82Rb and flurpiridaz F 18 myocardial perfusion PET data for patient motion detection and correction

Woo, J., Tamarappoo, B. K., Dey, D., Nakazato, R., Meunier, L. L., Ramesh, A., Lazewatsky, J. L., Germano, G., Berman, D. S., & Slomka, P. J. (2011) · Medical Physics · doi:10.1118/1.3656951 · Cited by 40

A robust and interpretable deep learning framework for multi-modal registration via keypoints

Wang, A. Q., Yu, E., Dalca, A. V., & Sabuncu, M. R. (2023) · Medical Image Analysis · doi:10.1016/j.media.2023.102962 · Cited by 39

Normalized gradient fields for nonlinear motion correction of DCE-MRI time series

Hodneland, E., Lundervold, A., Rørvik, J. T., & Munthe-Kaas, A. Z. (2013) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2013.12.007 · Cited by 39

Probabilistic non-linear registration with spatially adaptive regularisation

Simpson, I., Cardoso, M. J., Marc Modat, A., Cash, D. M., Woolrich, M. W., Andersson, J., Schnabel, J. A., & Sebastien Ourselin, A. (2015) · Medical Image Analysis · doi:10.1016/j.media.2015.08.006 · Cited by 42

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

Reducindo, I., Arce-Santana, E., Campos-Delgado, D. U., & Vigueras-Gómez, F. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346135 · Cited by 10

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

Reducindo, I., Arce-Santana, E., Campos-Delgado, D. U., Vigueras-Gómez, F., Mejia-Rodriguez, A. R., Cattaneo, G. M., & Rizzo, G. (2013) · Procedia Technology · doi:10.1016/j.protcy.2013.04.016 · Cited by 3