Publications

Export 1357 results:
Author [ Type(Asc)] Year
Conference Paper
J. - P. Jacobs, Thoonen, G., Tuia, D., Camps-Valls, G., Kempeneers, P., and Scheunders, P., Spectral adaptation of hyperspectral flight lines using VHR contextual information, in Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, Quebec City, QC, Canada, 2014, pp. 2953-2956.
L. Plantagie, Palenstijn, W. J., Sijbers, J., and Batenburg, K. J., Spatial Variations in Reconstruction Methods for CT, in The Second International Conference on Image Formation in X-Ray Computed Tomography (CT Meeting), 2012, pp. 170-173.
J. Driesen, Thoonen, G., and Scheunders, P., Spatial hyperspectral image classification by prior segmentation, in Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009, Cape Town, South Africa, 2009, vol. 3, p. III-709 - III-712.
G. Thoonen, De Backer, S., Provoost, S., Kempeneers, P., and Scheunders, P., Spatial Classification of Hyperspectral Data of Dune Vegetation along the Belgian Coast, in Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, Boston, MA, USA, 2008, vol. 3, p. III-483 - III-486.
L. F. Alves Pereira, De Beenhouwer, J., and Sijbers, J., Sparse-view Medical Tomosynthesis via Mixed Scale Dense Convolutional Framelet Networks, in IEEE International Symposium on Biomedical Imaging (ISBI), 2023, pp. 880-884.
B. Rasti, Koirala, B., and Scheunders, P., Sparse Unmixing using Deep Convolutional Networks, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 24-27.PDF icon suncnn_igarss2022.pdf (1.03 MB)
J. Ganseman, Mysore, G. J., Scheunders, P., and Abel, J. S., Source separation by score synthesis, in Proc. International Computer Music Conference (ICMC 2010), New York, NY, June 1-5, 2010, pp. 462-465.
R. Heylen, Akhter, M. A., and Scheunders, P., Solving the Hyperspectral Unmixing Problem with Projection Onto Convex Sets, in 21st European Signal Processing Conference (EUSIPCO), September 2013, Marrakech, Morocco, 2013.
K. Vinay Jambhali, Koirala, B., Bnoulkacem, Z., and Scheunders, P., Soil Moisture Content Estimation from Hyperspectral Remote Sensing Data, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon soil_ketaki.pdf (580.15 KB)
F. Linsen, Iuso, D., and Sijbers, J., Single X-ray Projection Material Decomposition using a Mesh Projector, in 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium (iCT 2025), 2025.PDF icon Download paper (857.7 KB)
G. Vanhoutte, Verhoye, M., Peeters, R. R., Sijbers, J., Eelen, J., Dhooghe, R., De Deyn, P. P., and Van Der Linden, A., Simultaneously recording of EEG/fMRI to study neurophysiological changes in rat brain during pentetrazol induced epileptic seizures, in Federation of European Neuroscience (FENS) Millennium Meeting, Brighton, UK, 2000, vol. 12, p. 107.
G. Ramos-Llordén, den Dekker, A. J., Van Steenkiste, G., Van Audekerke, J., Verhoye, M., and Sijbers, J., Simultaneous motion correction and T1 estimation in quantitative T1 mapping: An ML restoration approach, in 2015 IEEE International Conference on Image Processing (ICIP), 2015, pp. 3160-3164.
I. Michiels, Sijbers, J., Eelen, J., Verhoye, M., Dhooghe, R., Nagels, G., De Deyn, P. P., and Van Der Linden, A., Simultaneous EEG and MRI in an animal model for generalized epilepsy induced in the MRI instrument, in 16th annual meeting: Magnetic Resonance Materials in Physics, Biology, and Medicine, Sevilla, Spain, 1999.
I. Michiels, Sijbers, J., Eelen, J., Verhoye, M., Dhooghe, R., Nagels, G., De Deyn, P. P., and Van Der Linden, A., Simultaneous EEG and MRI in an animal model for generalized epilepsy induced in the MRI instrument, in Third Meeting of the Belgian Society for Neuroscience, Brussels, Belgium, 1999.
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., A Simulated Phantom for Diffusion Tensor Fiber Tracking, in IEEE Advanced Concepts for Intelligent Vision Systems, Ghent University, Belgium, 2003, pp. 281-285.
J. Sanctorum, De Beenhouwer, J., Weissenböck, J., Heinzl, C., Kastner, J., and Sijbers, J., Simulated grating-based x-ray phase contrast images of CFRP-like objects, in 9th Conference on Industrial Computed Tomography, Padova, Italy, 2019, pp. 1-8.PDF icon Download paper (706.73 KB)
T. Huysmans, Bernat, A., Sijbers, J., Parizel, P. M., Van Glabbeek, F., and Verdonk, B., Shape Analysis of the Human Clavicle for the Development of a Set of osteosynthesis Plates, in Belgian Day on Biomedical Engineering - IEEE/EMBS Benelux Symposium, Brussels, Belgium, 2006, pp. 128-129.PDF icon Full text (103.17 KB)
B. Koirala and Scheunders, P., A semi-supervised method for Nonlinear Hyperspectral Unmixing, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan, 2019, 2019, pp. pp. 361-364.PDF icon bikram_koirala_igarss2019.pdf (325.58 KB)
J. Sijbers, Van Der Linden, A., Scheunders, P., Van Audekerke, J., Raman, E., and Van Dyck, D., Semi-automatic mouse cerebellum extraction from 3D magnetic resonance data, in Proceedings of the International Society for Magnetic Resonance in Medicine, New York, USA, 1996, vol. 3, p. 1585.
J. Sijbers, Verhoye, M., Scheunders, P., Van Der Linden, A., Van Audekerke, J., Van Dyck, D., and Raman, E., Segmentation Scheme for Volume Quantization from 3D Microscopic MR images, in Proceedings of the Joint Meeting NVvM & BVM, Gent, 1996, pp. 168-169.
R. Pinho, Sijbers, J., and Huysmans, T., Segmentation of The Human Trachea Using Deformable Statistical Models of Tubular Shapes, in Proceedings of Advanced Concepts for Intelligent Vision Systems, 2007, vol. 4678, pp. 531-542.PDF icon Download paper (570.18 KB)
J. Rajan, Poot, D. H. J., Juntu, J., and Sijbers, J., Segmentation Based Noise Variance Estimation from Background MRI Data, in ICIAR , Porto, Portugal, 2010, vol. 6111, pp. 62-70.
R. Pinho, Batenburg, K. J., and Sijbers, J., Seeing Through the Window: Pre-fetching Strategies for Out-of-core Image Processing Algorithms, in Proceedings of SPIE Medical Imaging, San Diego, CA, USA, 2008, vol. 6919.
G. De Groof, Verhoye, M., Leemans, A., and Van Der Linden, A., Seasonal changes in neuronal connectivity in the songbird brain discerned by repeated in vivo DTI, in 13th Scientific Meeting - International Society for Magnetic Resonance in Medicine, Miami, USA, 2005, p. 715.

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