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D. Lacko, Huysmans, T., Parizel, P. M., De Bruyne, G., Verwulgen, S., Van Hulle, M. M., and Sijbers, J., “Evaluation of an anthropometric shape model of the human scalp”, Applied Ergonomics, vol. 48, pp. 70-85, 2015.PDF icon Paper (3.63 MB)File Shape matrix (cfr section 2.1.1) (36.93 MB)File Measurement matrix (cfr section 2.2.1) (20.05 KB)File Labeled measurements (cfr section 2.2.1) (47.63 KB)
D. Laefer, Zahiri, Z., and Gowen, A., “Using Short-wave Infrared Range Spectrometry Data to Determine Brick Characteristics”, INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE, 2018.
S. Lamens and D'haes, W., “Parameter Optimizations Methods for the EDS Model”, in 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Toulouse, France, 2006.
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., “A Library of 3D synthetic DT-MRI models for testing White Matter fiber Tractography Algorithms”, in 21th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Copenhagen, Denmark, 2004, p. 42.
A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “A Geometric Color Scheme for Visualizing Diffusion Tensor Magnetic Resonance Fiber Pathways”, in 19th Annual Symposium - Belgian Hospital Physicists Association, Brussels, Belgium, 2004.
A. Leemans, Sijbers, J., De Backer, S., Vandervliet, E., and Parizel, P. M., “Multiscale white matter fiber tract coregistration: a new feature-based approach to align diffusion tensor data”, in 14th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Seattle, USA, 2006, p. 437.
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., “Experimental Evaluation of Synthetic DT-MRI Models”, in 21th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Copenhagen, Denmark, 2004, pp. 40-41.
A. Leemans, Sijbers, J., De Backer, S., Vandervliet, E., and Parizel, P. M., “Affine Coregistration of Diffusion Tensor Magnetic Resonance Images Using Mutual Information”, Lecture Notes in Computer Science, vol. 3708, pp. 523-530, 2005.PDF icon Download full paper (1.26 MB)
A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “Simulating Neuronal Fiber Bundles for DT-MRI Tractography”, in 20th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Rotterdam, The Netherlands, 2003, p. 278.
A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “Mathematical Framework for Simulating Diffusion Tensor MR Neural Fiber Bundles”, Magnetic Resonance in Medicine, vol. 53, pp. 944-953, 2005.PDF icon Download full paper (1.55 MB)
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., “Optimized Fiber Tractography based on Diffusion Tensor Magnetic Resonance Simulations”, in 20th Annual Symposium - Belgian Hospital Physicists Association, Namur, Belgium, 2005.
A. Leemans, Jeurissen, B., Sijbers, J., and Jones, D. K., “ExploreDTI: A Graphical Toolbox for Processing, Analyzing, and Visualizing Diffusion MR Data”, ISMRM, 17th Scientific Meeting and Exhibition. Honolulu, USA, 2009.
A. Leemans and Sijbers, J., “Multiresolutional rigid-body registration for space curves”, in IEEE Advanced Concepts for Intelligent Vision Systems, Brussels, Belgium, 2004, pp. 215-221.
A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “A Simulated Phantom for Diffusion Tensor Fiber Tracking”, in IEEE Advanced Concepts for Intelligent Vision Systems, Ghent University, Belgium, 2003, pp. 281-285.
A. Leemans, “Modeling and Processing of Diffusion Tensor Magnetic Resonance Images for Improved Analysis of Brain Connectivity”, 2006.
A. Leemans, De Backer, S., Sijbers, J., Vandervliet, E., and Parizel, P. M., “TRACT: Tissue Relative Anisotropy based Curvature Thresholding for deterministic MR diffusion tensor tractography”, in 22th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Basle, Switzerland, 2005, p. 289.
A. Leemans, De Backer, S., Sijbers, J., Vandervliet, E., and Parizel, P. M., “End point clustering for diffusion tensor white matter fiber bundle tractography”, in 22th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Basle, Switzerland, 2005, pp. 129-130.
A. Leemans, Sijbers, J., Verhoye, M., and Van Der Linden, A., “Entropy-based coregistration for DT-MR images using an efficient tensor shape preserving reorientation strategy”, in 13th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Miami, USA, 2005, p. 227.
A. Leemans, Sijbers, J., Van den Broek, W., and Yang, Z., “An Interactive Curvature Based Rigid-body Image Registration Technique: an Application to EFTEM”, in 13th European Microscopy Congress, Antwerp, Belgium, 2004.
A. Leemans, Sijbers, J., De Backer, S., Vandervliet, E., and Parizel, P. M., “Multiscale white matter fiber tract coregistration: a new feature-based approach to align diffusion tensor data”, Magnetic Resonance in Medicine, vol. 55, pp. 1414-1423, 2006.
A. Leemans, “Modeling and Processing of Diffusion Tensor Magnetic Resonance Images for Improved Analysis of Brain Connectivity”, University of Antwerp, Antwerp, 2006.PDF icon Download thesis (6.77 MB)
A. Leemans, Van Hecke, W., Lebel, C., Walker, L., Sijbers, J., and Beaulieu, C., “A model based approach for voxelwise analysis of multi-subject diffusion tensor data”, in Joint Annual Meeting ISMRM-ESMRMB, Berlin, 2007.
A. Leemans, Sijbers, J., Verhoye, M., Van Der Linden, A., and Van Dyck, D., “White Matter Fiber Bundle Coregistration for Diffusion Tensor Magnetic Resonance Tractography”, in 13th Annual Meeting - Section for Magnetic Resonance Technologists, Kyoto, Japan, 2004.
A. Leemans, Sijbers, J., and Parizel, P. M., “A Graphical Toolbox for Exploratory Diffusion Tensor Imaging and Fiber Tractography”, in 14th Annual Meeting - Section for Magnetic Resonance Technologists, Miami, USA, 2005.
Z. Liang, Van Heteren, A., Sijbers, J., and De Beenhouwer, J., “Toward denoising of 3D CT scans with few data”, e-Journal of Nondestructive Testing, vol. 28, no. 3, 2023.PDF icon Download paper (5.93 MB)

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