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U. Roine, Roine, T., Salmi, J., Nieminen-von Wendt, T., Tani, P., Leppämäki, S., Rintahaka, P., Caeyenberghs, K., Leemans, A., and Sams, M., Abnormal wiring of the connectome in adults with high-functioning autism spectrum disorder, Molecular Autism, vol. 6, p. 65, 2015.PDF icon Download paper (1.64 MB)
T. Roine, Improved reliability of fiber orientation estimation and graph theoretical analysis of structural brain networks with diffusion MRI, University of Antwerp, 2017.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Leemans, A., Philips, W., and Sijbers, J., Isotropic non-white matter partial volume effects in constrained spherical deconvolution, Information-based methods for neuroimaging: analyzing structure, function and dynamics, p. 112, 2015.
T. Roine, Kaartinen, J., and Lamberg, P., Training Simulator for Flotation Process Operators, in 18th IFAC World Congress, 2011.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Sijbers, J., and Leemans, A., Methodological Considerations on Graph Theoretical Analysis of Structural Brain Networks, Proc. Intl. Soc. Mag. Reson. Med. 24. p. 3437, 2016.
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Sijbers, J., and Leemans, A., Reproducibility and intercorrelation of graph theoretical measures in structural brain connectivity networks, Medical Image Analysis, vol. 52, pp. 56-67, 2019.PDF icon Download paper (4.03 MB)
U. Roine, Ripatti, S., Rehnström, K., Roine, T., Kilpinen, H., Surakka, I., Wedenoja, J., Ylisaukko-oja, T., Kempas, E., Wessman, J., Moilanen, I., Mattila, M. - L., Kielinen, M., Jussila, K., Suomalainen, S., Pulkkinen, E., von Wendt, L., and Peltonen, L., Reelin Associated With Restricted and Stereotyped Behavior Based on Principal Component Analysis on Autism Diagnostic Interview-Revised, Autism - Open Access, vol. 3, no. 1, 2013.
T. Roine, Jeurissen, B., Leemans, A., Philips, W., and Sijbers, J., Analysis and modeling of isotropic partial volume effects in diffusion MRI, Frontiers in Neuroinformatics, vol. 7. 2013.
T. Roelandts, Batenburg, K. J., and Sijbers, J., Visualizing the Segmentation Error of a Tomogram using the Residual Projection Error, in The Second International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting), Salt Lake City, UT, USA, 2012, pp. 293-296.
T. Roelandts, Batenburg, K. J., and Sijbers, J., PDART: A Partially Discrete Algorithm for the Reconstruction of Dense Particles, in 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D), Potsdam, Germany, 2011, pp. 448-451.PDF icon Download full paper (1.74 MB)
T. Roelandts, Batenburg, K. J., and Sijbers, J., Localizing DART using the Reconstructed Residual Error, in 1st International Conference on Tomography of Materials and Structures (ICTMS), Ghent, Belgium, 2013, vol. Book of Abstracts: Talks, pp. 113-116.PDF icon Download full paper (491.53 KB)
T. Roelandts, Batenburg, K. J., den Dekker, A. J., and Sijbers, J., The reconstructed residual error: A novel segmentation evaluation measure for reconstructed images in tomography, Computer Vision and Image Understanding, vol. 126, pp. 28-37, 2014.PDF icon Download paper (4.58 MB)
T. Roelandts, Batenburg, K. J., Biermans, E., Kubel, C., Bals, S., and Sijbers, J., Accurate segmentation of dense nanoparticles by partially discrete electron tomography, Ultramicroscopy, vol. 114, pp. 96-105, 2012.PDF icon Download paper (1.71 MB)
T. Roelandts, Local Prior Knowledge in Tomography, 2013.PDF icon Download PhD thesis (15.6 MB)
T. Roelandts, Batenburg, K. J., Biermans, E., Bals, S., and Sijbers, J., Partially Discrete Tomography for the Reconstruction of Dense Particles, 17th International Microscopy Congress (IMC17). Rio de Janeiro, Brazil, p. I7.19, 2010.
E. M. R. Robert, Schmitz, N., Boeren, I., Driessens, T., Herremans, K., De Mey, J., Van de Casteele, E., Beeckman, H., and Koedam, N., Successive Cambia: A Developmental Oddity or an Adaptive Structure?, PLoS ONE, vol. 6, no. 1, p. e16558, 2011.
J. Rimpelainen, Bazrafkan, S., Sijbers, J., and De Beenhouwer, J., Deep learning based missing wedge artefact removal for electron tomography, Microscopy Conference, Berlin, Germany. pp. 660-661, 2019.
R. Riji, Rajan, J., Sijbers, J., and Nair, M. S., Iterative bilateral filter for Rician noise reduction in MR images, Signal, Image and Video Processing , 2014.
H. Rezaei, Karami, A., and Scheunders, P., Hyperspectral and multispectral image fusion based on spectral matching in the shearlet domain, in IEEE IGARSS 2018, International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 23-27, 2018.
J. Renders, Shafieizargar, B., Verhoye, M., De Beenhouwer, J., den Dekker, A. J., and Sijbers, J., DELTA-MRI: Direct deformation Estimation from LongiTudinally Acquired k-space data, in IEEE International Symposium on Biomedical Imaging, 2023, pp. 1-4.
J. Renders, Sijbers, J., and De Beenhouwer, J., Adjoint pairs of image warping operators for motion modeling in 4D-CT, in 6th International Conference on Image Formation in X-Ray Computed Tomography, 2020.PDF icon Download paper (617.11 KB)
J. Renders, Sijbers, J., and De Beenhouwer, J., Adjoint image warping using multivariate splines with application to 4D-CT, Medical Physics, vol. 48, no. 10, pp. 6362-6374, 2021.PDF icon Download paper (6.28 MB)
J. Renders, Nguyen, A. - T., De Beenhouwer, J., and Sijbers, J., Motion compensating X-ray micro-CT of diamonds in a processing stage, 31st International Conference on Diamond and Carbon Materials. 2021.PDF icon Download poster (1.04 MB)
J. Renders, De Beenhouwer, J., and Sijbers, J., Mesh-based reconstruction of dynamic foam images using X-ray CT, in International Conference on 3D Vision (3DV2021), 2021, pp. 1312-1320.
J. Renders, Jeurissen, B., Nguyen, A. - T., De Beenhouwer, J., and Sijbers, J., ImWIP: open-source image warping toolbox with adjoints and derivatives, SoftwareX, vol. 24, p. 101524, 2023.PDF icon Download paper (1 MB)

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