Publications

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M. Kudzinava, Rajan, J., and Sijbers, J., “Denoising of DKI images: effect on feasibility and accuracy of kurtosis parameters”, ESMRMB, European Society for Magnetic Resonance in Medicine and Biology, 28th Annual Scientific Meeting. Leipzig, Germany, p. 236, 2011.PDF icon Abstract (313.22 KB)PDF icon Presentation (1.13 MB)
M. Kudzinava, Poot, D. H. J., Plaisier, A., and Sijbers, J., “Optimized Workflow for Diffusion Kurtosis Imaging of Newborns”, in ISBI, 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, USA, 2011, pp. 922-926.PDF icon Paper (286.57 KB)PDF icon Presentation (1.25 MB)
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D. Lacko, Huysmans, T., Vleugels, J., De Bruyne, G., Van Hulle, M. M., Sijbers, J., and Verwulgen, S., “Product sizing with 3D anthropometry and k-medoids clustering”, Computer-Aided Design, vol. 91, pp. 60-74, 2017.
D. Lacko, “The application of 3D anthropometry for the development of headgear: a case study on the design of ergonometric brain-computer interfaces”, 2017.PDF icon Download thesis (3.52 MB)
D. Lacko, Huysmans, T., Verwulgen, S., Parizel, P. M., Van Hulle, M. M., and Sijbers, J., “Statistical shape modelling in support of user-centred BCI headset design”, BBCI Workshop 2012 on Advances in Neurotechnology. 2012.PDF icon Download abstract (310.9 KB)
D. Lacko, Vleugels, J., Fransen, E., Huysmans, T., De Bruyne, G., Van Hulle, M. M., Sijbers, J., and Verwulgen, S., “Ergonomic design of an EEG headset using 3D anthropometry”, Applied Ergonomics, vol. 58, pp. 128–136, 2017.
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. Lacko, Huysmans, T., Claeskens, A., Verwulgen, S., Aerts, P., Sijbers, J., and De Bruyne, G., “An Anthropometric Shape Model for the Design of Sports Helmets”, European Conference on Protective Clothing (ECPC). 2014.
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.
H. Le, Bossuyt, C., Escoda, J., Costin, M., De Beenhouwer, J., and Sijbers, J., “Proximal Neural Networks based reconstruction for few-view CT applications”, in 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium, 2025.PDF icon Download paper (4.27 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, 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, 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 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., “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, “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, 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, 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.

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