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J. Rozema, On the wavefront aberrations of the human eye and the search for their origins, University of Antwerp, Antwerp, 2004.
U. Roine, Roine, T., Salmi, J., Nieminen-von Wendt, T., Leppämäki, S., Rintahaka, P., Tani, P., Leemans, A., and Sams, M., Increased coherence of white matter fiber tract organization in adults with Asperger syndrome: A diffusion tensor imaging study, Autism Research, vol. 6, no. 6, pp. 642-650, 2013.PDF icon Download paper (1.2 MB)
T. Roine, Jeurissen, B., Perrone, D., Aelterman, J., Philips, W., Leemans, A., and Sijbers, J., Informed constrained spherical deconvolution (iCSD), Medical Image Analysis, vol. 24, no. 1, pp. 269–281, 2015.PDF icon Download accepted manuscript (987.95 KB)
T. Roine, Pietilä, J., Kaartinen, J., Blanz, P., and Rantala, P., Development of a Machine Vision System to Monitor a Grinding Mill Prototype, in 12th European Symposium on Comminution and Classification (ESCC 2009), 2009.
U. Roine, Salmi, J., Roine, T., Nieminen-von Wendt, T., Leppämäki, S., Rintahaka, P., Tani, P., Leemans, A., and Sams, M., Constrained spherical deconvolution-based tractography and tract-based spatial statistics show abnormal microstructural organization in Asperger syndrome, Molecular Autism, vol. 6, p. 4, 2015.PDF icon Download paper (1.75 MB)
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)
U. Roine, Roine, T., Salmi, J., Nieminen-von Wendt, T., Leppämäki, S., Rintahaka, P., Tani, P., and Sams, M., DTI-based Classification of Affection Status in Asperger Syndrome., Society for Neuroscience Annual Meeting (Neuroscience 2012). 2012.
T. Roine, Jeurissen, B., Philips, W., Leemans, A., and Sijbers, J., Improving fiber orientation estimation in constrained spherical deconvolution under non-white matter partial volume effects, Proceedings of the Joint Annual Meeting ISMRM–ESMRMB. p. 4492, 2014.PDF icon 4492.pdf (574.06 KB)
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., Leemans, A., Philips, W., and Sijbers, J., Isotropic non-white matter partial volume effects in constrained spherical deconvolution, Frontiers in Neuroinformatics, vol. 8, pp. 1-9, 2014.PDF icon Download paper (1.79 MB)
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, 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.
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, 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., Philips, W., Leemans, A., and Sijbers, J., Isotropic non-white matter partial volume effects in constrained spherical deconvolution, Sixth Annual Meeting of the Benelux ISMRM Chapter. 2014.
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)
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., 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, 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.
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.PDF icon Download full paper (2.83 MB)
T. Roelandts, Local Prior Knowledge in Tomography, 2013.PDF icon Download PhD thesis (15.6 MB)
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)
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.

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