Lucas J. van Vliet - researchr profile publications

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Publications with a 'Lucas J. van Vliet' as author, editor, or advisor:

A Hierarchical Coarse-to-Fine Approach for Fundus Image RegistrationKedir M. Adal, Ronald M. Ensing, Rosalie Couvert, Peter van Etten, Jose P. Martinez, Koenraad A. Vermeer, L. J. van Vliet. wbir 2014: 93-102 [doi]
Segmentation-Free Estimation of Length Distributions Using Sieves and RIA MorphologyCris L. Luengo Hendriks, Lucas J. van Vliet. scalespace 2001: 398-406 [doi]
Semiautomatic carotid lumen segmentation for quantification of lumen geometry in multispectral MRIHui Tang, Theo van Walsum, Robbert S. van Onkelen, Reinhard Hameeteman, Stefan Klein, Michiel Schaap, Fufa L. Tori, Quirijn J. A. van den Bouwhuijsen, Jacqueline C. M. Witteman, Aad van der Lugt, Lucas J. van Vliet, Wiro J. Niessen. mia, 16(6):1202-1215, 2012. [doi]
Corneal Endothelial Cell Segmentation by Classifier-Driven Merging of Oversegmented ImagesJuan P. Vigueras-Guillén, Eleni-Rosalina Andrinopoulou, Angela Engel, Hans G. Lemij, Jeroen van Rooij, Koenraad A. Vermeer, Lucas J. van Vliet. tmi, 37(10):2278-2289, 2018. [doi]
Method for segmentation of the layers in the outer retinaJelena Novosel, Koenraad A. Vermeer, Laurence Pierrache, Caroline C. W. Klaver, L. I. van den Born, Lucas J. van Vliet. embc 2015: 5646-5649 [doi]
Thin layer tissue classification for electronic cleansing of CT colonography dataVincent Frans van Ravesteijn, Frans M. Vos, Iwo Serlie, Roel Truyen, Lucas J. van Vliet. icpr 2008: 1-5 [doi]
Curvature Estimation in Oriented Patterns Using Curvilinear Models Applied to Gradient Vector FieldsJoost van de Weijer, Lucas J. van Vliet, Piet W. Verbeek, Michael van Ginkel. pami, 23(9):1035-1042, 2001. [doi]
A Semi-automatic Method for Segmentation of the Carotid Bifurcation and Bifurcation Angle Quantification on Black Blood MRAHui Tang, Robbert S. van Onkelen, Theo van Walsum, Reinhard Hameeteman, Michiel Schaap, Fufa. L. Tori, Quirijn J. A. van den Bouwhuijsen, Jacqueline C. M. Witteman, Aad van der Lugt, Lucas J. van Vliet. miccai 2010: 97-104 [doi]
Recognition of Protruding Objects in Highly Structured Surroundings by Structural InferenceVincent Frans van Ravesteijn, Frans M. Vos, Lucas J. van Vliet. scia 2009: 41-50 [doi]
A New Sharpness Measure Based on Gaussian Lines and EdgesJudith Dijk, Michael van Ginkel, Rutger J. van Asselt, Lucas J. van Vliet, Piet W. Verbeek. caip 2003: 149-156 [doi]
Computer-Aided Detection of Polyps in CT Colonography Using Logistic RegressionVincent Frans van Ravesteijn, Cees van Wijk, Frans M. Vos, Roel Truyen, J. F. Peters, Jaap Stoker, Lucas J. van Vliet. tmi, 29(1):120-131, 2010. [doi]
On the Application of Neural Networks to Non-Linear Image Processing TasksDick de Ridder, Robert P. W. Duin, Piet W. Verbeek, Lucas J. van Vliet. iconip 1998: 161-165
A nonlinear laplace operator as edge detector in noisy imagesLucas J. van Vliet, Ian T. Young, Guus L. Beckers. cvgip, 45(2):167-195, 1989. [doi]
A Rotation-Invariant Morphology for Shape Analysis of Anisotropic Objects and StructuresCris L. Luengo Hendriks, Lucas J. van Vliet. iwvf 2001: 378-387 [doi]
Estimation of defocus and astigmatism in transmission electron microscopyM. Vulovic, P. L. Brandt, R. B. G. Ravelli, A. J. Koster, Lucas J. van Vliet, Bernd Rieger. isbi 2010: 1121-1124 [doi]
3D Non-rigid Motion Correction of Free-Breathing Abdominal DCE-MRI DataZhang Li, Matthan W. A. Caan, Manon L. Ziech, Jaap Stoker, Lucas J. van Vliet, Frans M. Vos. miccai 2012: 44-50 [doi]
Influence of signal-to-noise ratio and point spread function on limits of superresolutionTuan Q. Pham, Lucas J. van Vliet, Klamer Schutte. ipas 2006: 169-180 [doi]
Basic Morphological Operations, Band-Limited Images and SamplingCris L. Luengo Hendriks, Lucas J. van Vliet. scalespace 2003: 313-324 [doi]
Using Line Segments as Structuring Elements for Sampling-Invariant MeasurementsCris L. Luengo Hendriks, Lucas J. van Vliet. pami, 27(11):1826-1831, 2005. [doi]
Expert-Based Ontology Construction: A Case-Study in HorticultureNicole J. J. P. Koenderink, Jan L. Top, Lucas J. van Vliet. dexaw 2005: 383-387 [doi]
Performance of optimal registration estimatorsTuan Q. Pham, Marijn Bezuijen, Lucas J. van Vliet, Klamer Schutte, Cris L. Luengo Hendriks. spieVIP 2005: 133-144 [doi]
Multi-orientation analysis by decomposing the structure tensor and clusteringLucas J. van Vliet, Frank G. A. Faas. icpr 2006: 856-860 [doi]
A Statistical Description of the Articulating Ulna Surface for prosthesis DesignMartijn van de Giessen, Nienke Smitsman, Simon D. Strackee, Lucas J. van Vliet, Kees Grimbergen, Geert J. Streekstra, Frans M. Vos. isbi 2009: 678-681 [doi]
Edge Preserving Orientation Adaptive FilteringPeter Bakker, Lucas J. van Vliet, Piet W. Verbeek. cvpr 1999: 1535-1540 [doi]
Dual Tensor Atlas Generation Based on a Cohort of Coregistered non-HARDI DatasetsMatthan Caan, Caroline Sage, Maaike van der Graaf, Cornelis A. Grimbergen, Stefan Sunaert, Lucas J. van Vliet, Frans Vos. miccai 2009: 869-876 [doi]
Image Registration Based on Autocorrelation of Local StructureZhang Li, Dwarikanath Mahapatra, Jeroen A. W. Tielbeek, Jaap Stoker, Lucas J. van Vliet, Frans M. Vos. tmi, 35(1):63-75, 2016. [doi]
Detection of Protrusions in Curved Folded Surfaces Applied to Automated Polyp Detection in CT ColonographyCees van Wijk, Vincent Frans van Ravesteijn, Frans Vos, Roel Truyen, Ayso H. de Vries, Jaap Stoker, Lucas J. van Vliet. miccai 2006: 471-478 [doi]
Robust Curve Detection Using a Radon Transform in Orientation SpaceMichael van Ginkel, M. A. Kraaijveld, Lucas J. van Vliet, E. P. Reding, Piet W. Verbeek, H. J. Lammers. scia 2003: 125-132 [doi]
Supporting knowledge-intensive inspection tasks with application ontologiesNicole J. J. P. Koenderink, Jan L. Top, Lucas J. van Vliet. ijmms, 64(10):974-983, 2006. [doi]
Computational modeling for assessment of IBD: To be or not to be?Franciscus M. Vos, Jeroen A. W. Tielbeek, Robiel E. Naziroglu, Zhang Li, Peter Schueffler, Dwarikanath Mahapatra, Alexander Wiebel, Cristina Lavini, Joachim M. Buhmann, Hans-Christian Hege, Jaap Stoker, Lucas J. van Vliet. embc 2012: 3974-3977 [doi]
Finding the Minimum-Cost Path Without Cutting CornersR. Joop van Heekeren, Frank G. A. Faas, Lucas J. van Vliet. scia 2007: 263-272 [doi]
A Statistical Shape Model without Using LandmarksFrans Vos, Paul W. de Bruin, J. G. M. Aubel, Geert J. Streekstra, Mario Maas, Lucas J. van Vliet, Albert M. Vossepoel. icpr 2004: 714-717 [doi]
An Automated System for the Detection and Classification of Retinal Changes Due to Red Lesions in Longitudinal Fundus ImagesKedir M. Adal, Peter G. van Etten, Jose P. Martinez, Kenneth Rouwen, Koenraad A. Vermeer, Lucas J. van Vliet. tbe, 65(6):1382-1390, 2018. [doi]
An estimator of edge length and surface area in digitized 2D and 3D imagesPiet W. Verbeek, Lucas J. van Vliet. icpr 1992: 1-5 [doi]
Automated Detection and Segmentation of Large Lesions in CT ColonographySimona E. Grigorescu, Shelly T. Nevo, Marjolein H. Liedenbaum, Roel Truyen, Jaap Stoker, Lucas J. van Vliet, Frans M. Vos. tbe, 57(3):675-684, 2010. [doi]
Discrete Morphology with Line Structuring ElementsCris L. Luengo Hendriks, Lucas J. van Vliet. caip 2003: 722-729 [doi]
An Efficient Method for Multi-Parameter Mapping in Quantitative MRI Using B-Spline InterpolationWillem van Valenberg, Stefan Klein 0001, Frans M. Vos, Kirsten Koolstra, Lucas J. van Vliet, Dirk H. J. Poot. tmi, 39(5):1681-1689, 2020. [doi]
Pruning Datasets in Discriminant Analysis: A DTI Study to SchizophreniaMatthan Caan, Koen Vermeer, Lucas J. van Vliet, Kees Grimbergen, Frans Vos. isbi 2007: 1340-1344 [doi]
The Generalised Radon Transform: Sampling and Memory ConsiderationsCris L. Luengo Hendriks, Michael van Ginkel, Piet W. Verbeek, Lucas J. van Vliet. caip 2003: 681-688 [doi]
Estimation of Diffusion Properties in Crossing Fiber BundlesMatthan W. A. Caan, Ganesh Khedoe, Dirk H. J. Poot, Arjan Jan den Dekker, Sílvia Delgado Olabarriaga, Kees Grimbergen, Lucas J. van Vliet, Frans M. Vos. tmi, 29(8):1504-1515, 2010. [doi]
Loosely coupled level sets for retinal layer segmentation in optical coherence tomographyJelena Novosel, Koen A. Vermeer, Gijs Thepass, Hans Lemij, Lucas J. van Vliet. In ISBI. 2013: 1010-1013 [doi]
Loosely coupled level sets for simultaneous 3D retinal layer segmentation in optical coherence tomographyJelena Novosel, Gijs Thepass, Hans G. Lemij, Johannes F. de Boer, Koenraad A. Vermeer, Lucas J. van Vliet. mia, 26(1):146-158, 2015. [doi]
On Normalized Convolution to Measure Curvature Features for Automatic Polyp DetectionCees van Wijk, Roel Truyen, Rogier E. van Gelder, Lucas J. van Vliet, Frans Vos. miccai 2004: 200-208 [doi]
Line and edge detection by symmetry filtersPiet W. Verbeek, Lucas J. van Vliet. icpr 1992: 749-753 [doi]
Electronic Cleansing for Computed Tomography (CT) Colonography Using a Scale-Invariant Three-Material ModelIwo Serlie, Frans M. Vos, Roel Truyen, Frits H. Post, Jaap Stoker, Lucas J. van Vliet. tbe, 57(6):1306-1317, 2010. [doi]
Automation of fluorescent dot counting in cell nucleiHans Netten, Ian T. Young, Michele Prins, Lucas J. van Vliet, Hans Tanke, Hans Vrolijk, Willem Sloos. icpr 1994: 84-87 [doi]
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiographyHortense A. Kirisli, Michiel Schaap, Coert Metz, A. S. Dharampal, W. B. Meijboom, S. L. Papadopoulou, A. Dedic, K. Nieman, M. A. de Graaf, M. F. L. Meijs, M. J. Cramer, A. Broersen, Suheyla Cetin, Abouzar Eslami, Leonardo Florez-Valencia, K. L. Lor, Bogdan J. Matuszewski, Imen Melki, B. Mohr, I. Öksüz, Rahil Khurram Shahzad, Chunliang Wang, Pieter H. Kitslaar, Gözde B. Ünal, Amin Katouzian, Maciej Orkisz, C.-M. Chen, Frédéric Precioso, Laurent Najman, S. Masood, Devrim Ünay, Lucas J. van Vliet, Rodrigo Moreno, Roman Goldenberg, Erald Vuçini, Gabriel P. Krestin, Wiro J. Niessen, Theo van Walsum. mia, 17(8):859-876, 2013. [doi]
Adaptive Noise Filtering for Accurate and Precise Diffusion Estimation in Fiber CrossingsMatthan Caan, Ganesh Khedoe, Dirk Poot, Arjan Jan den Dekker, Sílvia Delgado Olabarriaga, Kees Grimbergen, Lucas J. van Vliet, Frans Vos. miccai 2010: 167-174 [doi]
Robust Local Max-Min Filters by Normalized Power-Weighted FilteringLucas J. van Vliet. icpr 2004: 696-699 [doi]
On Curvature Estimation of ISO Surfaces in 3D Gray-Value Images and the Computation of Shape DescriptorsBernd Rieger, Frederik J. Timmermans, Lucas J. van Vliet, Piet W. Verbeek. pami, 26(8):1088-1094, 2004. [doi]
Gradient Estimation in Uncertain DataFrank de Jong, Lucas J. van Vliet, Pieter P. Jonker. mva 1998: 144-147 [doi]
Binary and Grey-Value Skeletons: Metrics and AlgorithmsBen J. H. Verwer, Lucas J. van Vliet, Piet W. Verbeek. ijprai, 7(5):1287-1308, 1993.
A systematic approach to nD orientation representationBernd Rieger, Lucas J. van Vliet. ivc, 22(6):453-459, 2004. [doi]
Detection of retinal changes from illumination normalized fundus images using convolutional neural networksKedir M. Adal, Peter G. van Etten, Jose P. Martinez, Kenneth Rouwen, Koenraad A. Vermeer, Lucas J. van Vliet. micad 2017: [doi]
A Comparison of the Cingulum Tract in ALS-B Patients and Controls Using Kernel MatchingSander van Noorden, Matthan Caan, Maaike van der Graaf, Lucas J. van Vliet, Frans Vos. miccai 2010: 249-256 [doi]
A patient-specific coronary density estimateRahil Khurram Shahzad, Michiel Schaap, Theo van Walsum, Stefan Klein, Annick C. Weustink, Lucas J. van Vliet, Wiro J. Niessen. isbi 2010: 9-12 [doi]
Localized Component Analysis for Arthritis Detection in the Trapeziometacarpal JointMartijn van de Giessen, Sepp de Raedt, Maiken Stilling, Torben B. Hansen, Mario Maas, Geert J. Streekstra, Lucas J. van Vliet, Frans M. Vos. miccai 2011: 360-367 [doi]
Generating Fiber Crossing Phantoms Out of Experimental DWIsMatthan Caan, Anne Willem de Vries, Ganesh Khedoe, Erik Akkerman, Lucas J. van Vliet, Kees Grimbergen, Frans Vos. miccai 2007: 169-176 [doi]
Estimating diffusion properties in complex fiber configurations based on structure-adaptive multi-valued tensor-field filteringJianfei Yang, Dirk H. J. Poot, Georgius A. M. Arkesteijn, Matthan W. A. Caan, Lucas J. van Vliet, Frans M. Vos. miip 2015: 941320 [doi]
Lumen segmentation of atherosclerotic carotid arteries in CTAHui Tang, Theo van Walsum, Reinhard Hameeteman, Michiel Schaap, Aad van der Lugt, Lucas J. van Vliet, Wiro J. Niessen. isbi 2012: 274-277 [doi]
A hybrid optimization strategy for registering images with large local deformations and intensity variationsZhang Li, Lucas J. van Vliet, Jaap Stoker, Frans M. Vos. cars, 13(3):343-351, 2018. [doi]
Recursive Gabor filteringIan T. Young, Lucas J. van Vliet, Michael van Ginkel. tsp, 50(11):2798-2805, 2002. [doi]
Improved curvature and anisotropy estimation for curved line bundlesPiet W. Verbeek, Lucas J. van Vliet, Joost van de Weijer. icpr 1998: 528-533 [doi]
Representing Orientation in n-Dimensional SpacesBernd Rieger, Lucas J. van Vliet. caip 2003: 17-24 [doi]
Junction Detection and Multi-orientation Analysis Using StreamlinesFrank G. A. Faas, Lucas J. van Vliet. caip 2007: 718-725 [doi]
A 4D Statistical Model of Wrist Bone Motion PatternsMartijn van de Giessen, Mahyar Foumani, Frans M. Vos, Simon D. Strackee, Mario Maas, Lucas J. van Vliet, Cornelis A. Grimbergen, Geert J. Streekstra. tmi, 31(3):613-625, 2012. [doi]
Expiration-Phase Template-Based Motion Correction of Free-Breathing Abdominal Dynamic Contrast Enhanced MRIZhang Li, Jeroen A. W. Tielbeek, Matthan W. A. Caan, Carl A. J. Puylaert, Manon L. Ziech, Chung Y. Nio, Jaap Stoker, Lucas J. van Vliet, Frans M. Vos. tbe, 62(4):1215-1225, 2015. [doi]
Confidence and Curvature Estimation of Curvilinear Structures in 3-DPeter Bakker, Lucas J. van Vliet, Piet W. Verbeek. iccv 2001: 139-144
Performance Evaluation of Super-Resolution Reconstruction Methods on Real-World DataAdam W. M. van Eekeren, Klamer Schutte, Olivier R. Oudegeest, Lucas J. van Vliet. ejasp, 2007, 2007. [doi]
On the Location Error of Curved Edges in Low-Pass Filtered 2-D and 3-D ImagesPiet W. Verbeek, Lucas J. van Vliet. pami, 16(7):726-733, 1994. [doi]
Classifying CT Image Data Into Material Fractions by a Scale and Rotation Invariant Edge ModelIwo Serlie, Frans Vos, Roel Truyen, Frits H. Post, Lucas J. van Vliet. TIP, 16(12):2891-2904, 2007. [doi]
Improved Accuracy and Robustness of a Corneal Endothelial Cell Segmentation Method Based on Merging SuperpixelsJuan P. Vigueras-Guillén, Angela Engel, Hans G. Lemij, Jeroen van Rooij, Koenraad A. Vermeer, Lucas J. van Vliet. iciar 2018: 631-638 [doi]
Improving the accuracy of isotropic granulometriesCris L. Luengo Hendriks, Geert M. P. van Kempen, Lucas J. van Vliet. prl, 28(7):865-872, 2007. [doi]
Constrained Registration of the Wrist JointMartijn van de Giessen, Geert J. Streekstra, Simon D. Strackee, Mario Maas, Kees Grimbergen, Lucas J. van Vliet, Frans M. Vos. tmi, 28(12):1861-1869, 2009. [doi]
Continuous Orientation Representation for Arbitrary Dimensions - A Generalized Knutsson MappingBernd Rieger, Lucas J. van Vliet, Piet W. Verbeek. scia 2011: 774-783 [doi]
Improved registration of DCE-MR images of the liver using a prior segmentation of the region of interestTian Zhang, Zhang Li, Jürgen H. Runge, Cristina Lavini, Jaap Stoker, Thomas van Gulik, Lucas J. van Vliet, Frans M. Vos. miip 2016: 978443 [doi]
Spatiotonal adaptivity in Super-resolution from undersampled image sequencesTuan Q. Pham. PhD in Image analysis, Quantitative Imaging Group, Delft University of Technology, Quantitative Imaging Group, Lorentzweg 1, 2628 CJ Delft, The Netherlands, October 2006.
Super-Resolution on small moving objectsAdam W. M. van Eekeren, Klamer Schutte, Lucas J. van Vliet. icip 2008: 1248-1251 [doi]
Rank-2 model-order selection in diffusion tensor MRI: Infromation complexity based on the total Kullback-Leibler divergenceJianfei Yang, Dirk H. J. Poot, Matthan W. A. Caan, Frans M. Vos, Lucas J. van Vliet. isbi 2015: 926-929 [doi]
Noise-adaptive attenuation coefficient estimation in spectral domain optical coherence tomography dataBabak Ghafaryasi, Koenraad A. Vermeer, Johannes F. de Boer, Mirjam E. J. van Velthoven, Lucas J. van Vliet. isbi 2016: 706-709 [doi]
Recursive Gabor FilteringIan T. Young, Lucas J. van Vliet, Michael van Ginkel. icpr 2000: 3342-3345 [doi]
Gridifying a Diffusion Tensor Imaging Analysis PipelineMatthan W. A. Caan, Frans M. Vos, Antoine H. C. van Kampen, Sílvia D. Olabarriaga, Lucas J. van Vliet. ccgrid 2010: 733-738 [doi]
Nanometer-Scale Height Measurements in Micromachined Picoliter Vials Based on Interference Fringe AnalysisL. R. Van den Doel, Lucas J. van Vliet, K. T. Hjelt, M. J. Vellekoop, Ian T. Young, F. Gromball, Jan G. Korvink. icpr 2000: 3057-3062 [doi]
Curvature Estimation of Surfaces in 3D Grey-Value ImagesBernd Rieger, Frederik J. Timmermans, Lucas J. van Vliet, Piet W. Verbeek. icpr 2002: 684-687 [doi]
Convolutional neural network-based regression for biomarker estimation in corneal endothelium microscopy imagesJuan P. Vigueras-Guillén, Jeroen van Rooij, Hans G. Lemij, Koenraad A. Vermeer, Lucas J. van Vliet. embc 2019: 876-881 [doi]
Combining Mesh, Volume, and Streamline Representations for Polyp Detection in CT ColonographyVincent Frans van Ravesteijn, Lingxiao Zhao, Charl P. Botha, Frits H. Post, Frans M. Vos, Lucas J. van Vliet. isbi 2009: 907-910 [doi]
Groupwise Rigid Registration of Wrist BonesMartijn van de Giessen, Frans M. Vos, Cornelis A. Grimbergen, Lucas J. van Vliet, Geert J. Streekstra. miccai 2012: 155-162 [doi]
Segmentation and Size Measurement of Polyps in CT ColonographyJ. J. Dijkers, Cees van Wijk, Frans Vos, Jasper Florie, Y. C. Nio, Henk W. Venema, Roel Truyen, Lucas J. van Vliet. miccai 2005: 712-719 [doi]
Multiframe Super-Resolution Reconstruction of Small Moving ObjectsAdam W. M. van Eekeren, Klamer Schutte, Lucas J. van Vliet. TIP, 19(11):2901-2912, 2010. [doi]
Detection and Segmentation of Colonic Polyps on Implicit Isosurfaces by Second Principal Curvature FlowCees van Wijk, Vincent Frans van Ravesteijn, Frans M. Vos, Lucas J. van Vliet. tmi, 29(3):688-698, 2010. [doi]
Quantitative Imaging: How to Measure Size Features in Digitized ImagesLucas J. van Vliet, Piet W. Verbeek, Ian T. Young. isbi 2004: 1227-1230
Correction for the Dislocation of Curved Surfaces Caused by the PSF in 2D and 3D CT ImagesHenri Bouma, Anna Vilanova, Lucas J. van Vliet, Frans A. Gerritsen. pami, 27(9):1501-1507, 2005. [doi]
3D-Orientation Space; Filters and SamplingFrank G. A. Faas, Lucas J. van Vliet. scia 2003: 36-42 [doi]
Spatial Consistency in 3D Tract-Based Clustering StatisticsMatthan Caan, Lucas J. van Vliet, Charles B. L. M. Majoie, Eline Aukema, Kees Grimbergen, Frans Vos. miccai 2008: 535-542 [doi]
Shaving diffusion tensor images in discriminant analysis: A study into schizophreniaMatthan W. A. Caan, Koen Vermeer, Lucas J. van Vliet, Charles B. L. M. Majoie, Bart Peters, G. J. den Heeten, Frans M. Vos. mia, 10(6):841-849, 2006. [doi]
Locally-adaptive loosely-coupled level sets for retinal layer and fluid segmentation in subjects with central serous retinopathyJelena Novosel, Ziyuan Wang, Henk de Jong, Mirjam E. J. van Velthoven, Koenraad A. Vermeer, Lucas J. van Vliet. isbi 2016: 702-705 [doi]
Joint Segmentation of Retinal Layers and Focal Lesions in 3-D OCT Data of Topologically Disrupted RetinasJelena Novosel, Koenraad A. Vermeer, Henk de Jong, Ziyuan Wang, Lucas J. van Vliet. tmi, 36(6):1276-1286, 2017. [doi]
Recursive implementation of the Gaussian filterIan T. Young, Lucas J. van Vliet. sigpro, 44(2):139-151, 1995. [doi]
A contour processing method for fast binary neighbourhood operationsLucas J. van Vliet, Ben J. H. Verwer. prl, 7(1):27-36, 1988. [doi]
Curvature of n-dimensional space curves in grey-value imagesBernd Rieger, Lucas J. van Vliet. TIP, 11(7):738-745, 2002. [doi]
Edge localization by MoG filters: Multiple-of-GaussiansLucas J. van Vliet, Piet W. Verbeek. prl, 15(5):485-496, 1994. [doi]
Image registration based on the structure tensor of the local phaseZhang Li, Lucas J. van Vliet, Jaap Stoker, Frans M. Vos. miip 2015: 941330 [doi]
Modeling of scanning laser polarimetry images of the human retina for progression detection of glaucomaKoen Vermeer, Frans Vos, B. Lo, Qienyuan Zhou, Hans Lemij, Albert M. Vossepoel, Lucas J. van Vliet. tmi, 25(5):517-528, 2006. [doi]
Recursive Gaussian derivative filtersLucas J. van Vliet, Ian T. Young, Piet W. Verbeek. icpr 1998: 509-514 [doi]
Estimation of Curvature Based Shape Properties of Surfaces in 3D Grey-Value ImagesBernd Rieger, Lucas J. van Vliet, Piet W. Verbeek. scia 2003: 262-267 [doi]
The generalized Radon transform: Sampling, accuracy and memory considerationsCris L. Luengo Hendriks, Michael van Ginkel, Piet W. Verbeek, Lucas J. van Vliet. PR, 38(12):2494-2505, 2005. [doi]
An Efficient and Robust Algorithm for Parallel Groupwise Registration of Bone SurfacesMartijn van de Giessen, Frans M. Vos, Cornelis A. Grimbergen, Lucas J. van Vliet, Geert J. Streekstra. miccai 2012: 164-171 [doi]
A hybrid segmentation method for partitioning the liver based on 4D DCE-MR ImagesTian Zhang, Zhiyi Wu, Jürgen H. Runge, Cristina Lavini, Jaap Stoker, Thomas van Gulik, Kasia P. Cieslak, Lucas J. van Vliet, Frans M. Vos. miip 2018: 1057434 [doi]
Nonrigid Point Set Matching of White Matter Tracts for Diffusion Tensor Image AnalysisMatthan W. A. Caan, Lucas J. van Vliet, Charles B. L. M. Majoie, Maaike M. van der Graaff, Cornelis A. Grimbergen, Frans M. Vos. tbe, 58(9):2431-2440, 2011. [doi]
Linear and Kernel Fisher Discriminant Analysis for Studying Diffusion Tensor Images in SchizophreniaFrans Vos, Matthan Caan, Koen Vermeer, Charles B. L. M. Majoie, G. J. den Heeten, Lucas J. van Vliet. isbi 2007: 764-767 [doi]
Self Similarity Image Registration Based on Reorientation of the HessianZhang Li, Lucas J. van Vliet, Frans M. Vos. miccai 2013: 20-28 [doi]
Constrained Registration of Multiple Rigid Objects in Close Proximity: Application in the Wrist JointMartijn van de Giessen, Frans Vos, Simon D. Strackee, Mario Maas, Cornelis A. Grimbergen, Lucas J. van Vliet, Geert J. Streekstra. isbi 2007: 704-707 [doi]
Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networksJuan Pedro Vigueras-Guillén, Hans G. Lemij, Jeroen van Rooij, Koenraad A. Vermeer, Lucas J. van Vliet. miip 2019: 1094931 [doi]
A Crossing Detector Based on the Structure TensorFrank G. A. Faas, Lucas J. van Vliet. acivs 2007: 212-220 [doi]
Electronic Cleansing for 24-H Limited Bowel Preparation CT Colonography Using Principal Curvature FlowVincent Frans van Ravesteijn, Thierry N. Boellaard, Marije P. van der Paardt, Iwo Serlie, Margriet C. de Haan, Jaap Stoker, Lucas J. van Vliet, Frans M. Vos. tbe, 60(11):3036-3045, 2013. [doi]
Robust Fusion of Irregularly Sampled Data Using Adaptive Normalized ConvolutionTuan Q. Pham, Lucas J. van Vliet, Klamer Schutte. ejasp, 2006, 2006. [doi]
Automatic estimation of retinal nerve fiber bundle orientation in SD-OCT images using a structure-oriented smoothing filterBabak Ghafaryasl, Robert Baart, Johannes F. de Boer, Koenraad A. Vermeer, Lucas J. van Vliet. miip 2017: [doi]
Computed Cleansing for Virtual Colonoscopy Using a Three-Material Transition ModelIwo Serlie, Roel Truyen, Jasper Florie, Frits H. Post, Lucas J. van Vliet, Frans Vos. miccai 2003: 175-183 [doi]
Automatic detection of calcified lesions in the descending aorta using contrast enhanced CT scansRahil Khurram Shahzad, Michiel Schaap, Frederico Bastos Goncalves, Coert Metz, Hui Tang, Theo van Walsum, Adriaan Moelker, Lucas J. van Vliet, Wiro J. Niessen. isbi 2012: 250-253 [doi]
Loosely coupled level sets for retinal layers and drusen segmentation in subjects with dry age-related macular degenerationJelena Novosel, Ziyuan Wang, Henk de Jong, Koenraad A. Vermeer, Lucas J. van Vliet. miip 2016: [doi]
Segmentation of Locally Varying Numbers of Outer Retinal Layers by a Model Selection ApproachJelena Novosel, Suzanne Yzer, Koenraad A. Vermeer, Lucas J. van Vliet. tmi, 36(6):1306-1315, 2017. [doi]
Super-Resolution on Moving Objects and BackgroundAdam W. M. van Eekeren, Klamer Schutte, Judith Dijk, Dirk-Jan J. de Lange, Lucas J. van Vliet. icip 2006: 2709-2712 [doi]

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