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2019
B. Koirala, Khodadadzadeh, M., Contreras, C., Zahiri, Z., Gloaguen, R., and Scheunders, P., A supervised method for nonlinear hyperspectral unmixing, Remote Sensing, vol. 11, no. 20 , 2019.
B. Fröhler, Melo, Lda Cunha, Weissenböck, J., Kastner, J., Möller, T., Hege, H. - C., Gröller, E., Sanctorum, J., De Beenhouwer, J., Sijbers, J., and Heinzl, C., Tools for the Analysis of Datasets from X-Ray Computed Tomography based on Talbot-Lau Grating Interferometry, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019.PDF icon Download paper (1.07 MB)
Y. - T. Ling, Cools, S., De Beenhouwer, J., Sijbers, J., and Vandervorst, W., A Trajectory Based Bottom-Up Volume Reconstruction Method for Atom Probe Tomography, European Atom Probe Workshop. 2019.
S. Scataglini, Danckaers, F., Haelterman, R., Huysmans, T., Sijbers, J., and Andreoni, G., Using 3D Statistical Shape Models for Designing Smart Clothing, in Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Cham, 2019, pp. 18–27.
B. Fröhler, Elberfeld, T., Möller, T., Weissenböck, J., De Beenhouwer, J., Sijbers, J., Hege, H. - C., Kastner, J., and Heinzl, C., A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science, Computer Graphics Forum, vol. 38, no. 3, pp. 273-283, 2019.
M. Siqueira Pinto, Paolella, R., Billiet, T., Van Dyck, P., Guns, P. - J., Jeurissen, B., Ribbens, A., den Dekker, A. J., and Sijbers, J., Voxelwise harmonisation of FA on a cohort of 605 healthy subjects using ComBat: an exploratory study, ESMRMB 2019, 36th Annual Scientific Meeting, Rotterdam, NL. 2019.
S. Van Dongen, Danckaers, F., Beerten, J., and Huysmans, T., Women's preferences for male facial masculinity are not condition-dependent in a large online study, The All Results Journals: Biol, vol. 10, no. 1, 2019.
2018
P. Bladt, den Dekker, A. J., Clement, P., Achten, E., and Sijbers, J., Absolute CBF quantification in multi-time point ASL: the T1 issue, 10th Annual Meeting of ISMRM Benelux, January 26th 2018, Antwerp, Belgium. 2018.
G. Ramos-Llordén, Beirinckx, Q., den Dekker, A. J., and Sijbers, J., Accurate and precise MRI relaxometry: the often disregarded but critical role of statistical parameter estimation, 26th Annual Meeting of the ISMRM. Paris, France, 2018.
J. Blanc-Talon, Helbert, D., Philips, W., Popescu, D., and Scheunders, P., ACIVS 2018, Advanced Concepts for Intelligent Vision Systems , Lecture Notes in Computer Science, vol. 11182. 2018.
K. J. Batenburg, De Carlo, F., Mancini, L., and Sijbers, J., Advanced X-ray tomography: experiment, modeling, and algorithms, Measurement Science and Technology, vol. 29, no. 8, p. 080101, 2018.
E. Janssens, Advances in X-ray reconstruction algorithms for limited data problems in conventional and non-conventional projection geometries, 2018.PDF icon Download thesis (17.29 MB)
Z. Zahiri, Ribbens, B., Vanlanduit, S., and Scheunders, P., Automatic Detection of Surface Damages on Steel Structures using Near Infrared Hyperspectral Imaging, 9th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS). 2018.
J. Fatermans, den Dekker, A. J., Müller-Caspary, K., Lobato, I., and Van Aert, S., Bayesian analysis of noisy scanning transmission electron microscopy images for single atom detection, SCANDEM 2018, Technical University of Denmark, Kgs. Lyngby, Denmark. p. 95, 2018.
A. Van Ombergen, Jillings, S., Jeurissen, B., Tomilovskaya, E., Rühl, M., Rumshiskaya, A., Nosikova, I., Litvinova, L., Annen, J., Pechenkova, E. V., Kozlovskaya, I. B., Sunaert, S., Parizel, P. M., Sinitsyn, V., Laureys, S. S. L., Sijbers, J., Eulenburg, Pzu, and Wuyts, F. L., Brain Tissue–Volume Changes in Cosmonauts, New England Journal of Medicine, vol. 379, no. 17, pp. 1678 - 1680, 2018.
R. Garimella, Peeters, T., Beyers, K., Truijen, S., Huysmans, T., and Verwulgen, S., Capturing Joint Angles of the Off-Site Human Body, in IEEE Sensors 2018, United States, 2018, pp. 1–4.
A. Van Ombergen, Wuyts, F. L., Jeurissen, B., Sijbers, J., Vanhevel, F., Jillings, S., Parizel, P. M., Sunaert, S., Van de Heyning, P. H., Dousset, V., Laureys, S. S. L., and Demertzi, A., Changes in intrinsic functional brain connectivity after first-time exposure to parabolic flight, 39th ISGP Meeting & ESA Life Sciences Meeting. 2018.
Z. Zahiri, Laefer, D., and Gowen, A., Classification of hardened cement and lime mortar using short-wave infrared spectrometry data, in 11th international conference on Structural Analysis of Historical Constructions, 2018.
M. Shahrimie Asaari, Mishra, P., Mertens, S., Dhondt, S., Inze, D., Wuyts, N., and Scheunders, P., Close-range hyperspectral image analysis for the early detection of plant stress responses in individual plants in a high-throughput phenotyping platform, ISPRS Journal of Photogrammetry and Remote Sensing , vol. 138, pp. 121-138, 2018.
F. Danckaers, Lacko, D., Verwulgen, S., De Bruyne, G., Huysmans, T., and Sijbers, J., A Combined Statistical Shape Model of the Scalp and Skull of the Human Head, in 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), Los Angeles, California, USA, 2018, vol. 591, pp. 538-548.PDF icon Download paper (934.68 KB)
J. Weissenböck, Arikan, M., Salaberger, D., Kastner, J., De Beenhouwer, J., Sijbers, J., Rauchenzauner, S., Raab-Wernig, T., Gröller, E., and Heinzl, C., Comparative Visualization of Orientation Tensors in Fiber-Reinforced Polymers, in 8th Conference on Industrial Computed Tomography, Wels, Austria , 2018.PDF icon Download paper (1.03 MB)
P. Scheunders, Tuia, D., and Moser, G., Contributions of Machine Learning to Remote Sensing Data Analysis, in Comprehensive Remote Sensing, vol. 2, 2018, pp. 199-243.
M. Shahrimie Asaari, Mertens, S., Dhondt, S., Wuyts, N., and Scheunders, P., Detection of plant responses to drought using close-range hyperspectral imaging in a high-throughput phenotyping platform, in IEEE Whispers 2018, Workshop on Hyperspectral Image and Signal Processing, Amsterdam, 23-26 September , 2018.
J. Praet, Manyakov, N., Muchene, L., Mai, Z., Terzopoulos, V., De Backer, S., Torremans, A., Guns, P. - J., Van De Casteele, T., Bottelbergs, A., Van Broeck, B., Sijbers, J., Smeets, D., Shkedy, Z., Bijnens, L., Pemberton, D., Schmidt, M., Van Der Linden, A., and Verhoye, M., Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid β-induced pathology., Alzheimer's Research & Therapy , vol. 10, no. 1, pp. 1-16, 2018.
Q. Collier, Veraart, J., Jeurissen, B., Vanhevel, F., Pullens, P., Parizel, P. M., den Dekker, A. J., and Sijbers, J., Diffusion kurtosis imaging with free water elimination: a Bayesian estimation approach, Magnetic Resonance in Medicine, vol. 80, no. 2, pp. 802-813, 2018.PDF icon Download paper (1.93 MB)

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