Publications

Export 1323 results:
[ Author(Desc)] Type Year
Filters: Sparse-unmixing-using-deep-convolutional-networks is   [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
V
W. Van Aarle, Batenburg, K. J., and Sijbers, J., Automatic parameter estimation for the Discrete Algebraic Reconstruction Technique (DART), IEEE Transactions on Image Processing, vol. 21, no. 11, pp. 4608-4621, 2012.PDF icon Download paper (3.91 MB)
W. Van Aarle, Batenburg, K. J., and Sijbers, J., Threshold Selection for Segmentation of Dense Objects in Tomograms, in International Symposium on Visual Computing, Berlin Heidelberg, 2008, vol. 5358, pp. 700-709.
W. Van Aarle, Batenburg, K. J., and Sijbers, J., Optimal threshold selection for segmentation of dense homogeneous objects in tomographic reconstructions, IEEE Transactions on Medical Imaging, vol. 30, pp. 980-989, 2011.PDF icon Download paper (1.59 MB)
W. Van Aarle, Van Gompel, G., Batenburg, K. J., Van de Casteele, E., and Sijbers, J., A 3-dimensional discrete tomography approach for superresolution micro-CT images: application to foams, in The first international conference on image formation in X-ray computed tomography, 2010, pp. 45-48.PDF icon Download full paper (816.87 KB)
S. Van Aert, De Backer, A., De wael, A., Fatermans, J., E Irmak, A., Friedrich, T., Lobato, I., Jones, L., den Dekker, A. J., Nellist, P. D., and Bals, S., Strategies for quantifying the 3D atomic structure and the dynamics of nanomaterials using model-based STEM, Virtual MRS Spring/ Fall Meeting, Boston, United States (online). 2020.
S. Van Aert, Fatermans, J., De Backer, A., van den Bos, K. H. W., O'Leary, C. M., Müller-Caspary, K., Jones, L., Lobato, I., Béché, A., den Dekker, A. J., Bals, S., and Nellist, P. D., Maximising dose efficiency in quantitative STEM to reveal the 3D atomic structure of nanomaterials, IMC19, Sydney, Australia. 2018.
S. Van Aert, De Backer, A., Martinez, G. T., den Dekker, A. J., Van Dyck, D., Bals, S., and Van Tendeloo, G., Advanced electron crystallography through model-based imaging, IUCrJ, vol. 3, 2016.
S. Van Aert, De Backer, A., De wael, A., Fatermans, J., Friedrich, T., Lobato, I., O'Leary, C. M., Varambhia, A., Altantzis, T., Jones, L., den Dekker, A. J., Nellist, P. D., and Bals, S., 3D Atomic Scale Quantification of Nanostructures and their Dynamics Using Model-based STEM, Microscopy & Microanalysis 2020 (online), Milwaukee, United States. 2020.
S. Van Aert, De wael, A., Fatermans, J., Lobato, I., De Backer, A., Jones, L., den Dekker, A. J., and Nellist, P. D., Quantifying 3D atomic structures of nanomaterials and their dynamics using model-based scanning transmission electron microscopy, Spring Meeting of the EMRS, Nice, France. 2019.
S. Van Aert, De wael, A., Fatermans, J., Lobato, I., De Backer, A., Jones, L., den Dekker, A. J., and Nellist, P. D., Strategies for quantifying 3D atomic structures of nanomaterials and their dynamics using dose-efficient ADF STEM, PICO2019, Vaalsbroek, The Netherlands. 2019.
J. Van Audekerke, Verhoye, M., Peeters, R. R., Sijbers, J., and Van Der Linden, A., Special designed RF-antenna with integrated non-invasive carbon electrodes for simultaneous MRI and EEG acquisition at 7T, Magnetic Resonance Imaging, vol. 18, pp. 887-891, 2000.PDF icon Download full paper (179 KB)
J. Van Audekerke, Sijbers, J., Michiels, I., Verhoye, M., Peeters, R. R., and Van Der Linden, A., Novel design of an RF-antenna with integrated EEG electrodes for combined EEG and fMRI in animals, in 16th annual meeting: Magnetic Resonance Materials in Physics, Biology, and Medicine, Sevilla, Spain, 1999.
J. Van Audekerke, Verhoye, M., Sijbers, J., DeVoogd, T. J., Smulders, T., Newman, S. W., and Van Der Linden, A., Imaging birds .. in a bird cage: In vivo MRI microscopy of the canary brain at 7T, in Proceedings of International Society for Magnetic Resonance in Medicine: Sixth Annual Meeting, 1998, vol. 2, pp. 162-163.
N. Van Camp, Van Laere, K., Vreys, R., Verhoye, M., Lauwers, E., Beque, D., Maes, F., Verbruggen, A., Debyser, Z., Mortelmans, L., Sijbers, J., Nuyts, J., Baekelandt, V., and Van Der Linden, A., In vivo multimodal (MRI,SPECT) imaging of the 6-OHDA rat model for Parkinson’s disease correlated with behavior and histology, in XXIInd International Symposium on Cerebral Blood Flow, Metabolism and Function and VIIth International Conference of Quantification of Brain Function with PET, Vrije Universiteit, Amsterdam, the Netherlands, 2005.
N. Van Camp, Blockx, I., Camon, L., de Vera, N., Verhoye, M., Veraart, J., Van Hecke, W., Martinez, E., Guadelupe, S., Sijbers, J., Planas, A., and Van Der Linden, A., A complementary DTI-histological study in a model of Huntingtons disease, Neurobiology of Aging, vol. 33, pp. 945-959, 2012.
N. Van Camp, Van Laere, K., Vreys, R., Verhoye, M., Lauwers, E., Beque, D., Maes, F., Verbruggen, A., Debyser, Z., Mortelmans, L., Sijbers, J., Nuyts, J., Baekelandt, V., and Van Der Linden, A., In vivo multimodal (MRI, SPECT) imaging of the 6-OHDA rat model for Parkinson’s disease correlated with behavior and histology, in Belgian Society of Neuroscience, 2005.
N. Van Camp, Blockx, I., Camon, L., de Vera, N., Verhoye, M., Leemans, A., Martinez, E., Sijbers, J., Planas, A., and Van Der Linden, A., White and grey matters changes in a rat model for Huntington's disease discerned with in vivo DTI, in 23rd Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology, Warsaw, Poland, 2006, pp. 210-211.
N. Van Camp, Blockx, I., Verhoye, M., Casteels, C., Coun, F., Leemans, A., Sijbers, J., Baekelandt, V., Van Laere, K., and Van Der Linden, A., Diffusion tensor imaging in a rat model of Parkinson's disease after lesioning of the nigrostriatal tract., NMR in biomedicine, vol. 22, no. 7, pp. 697-706, 2009.
N. Van Camp, Verhoye, M., Leemans, A., Postnov, A., Beque, D., Van den Eynden, J., Nuyts, J., Lauwers, E., Verbruggen, A., Debyser, Z., Baekelandt, V., De Clerck, N., Sijbers, J., Van Laere, K., and Van Der Linden, A., In vivo multimodal imaging of a rat model for Parkinson’s disease: high resolution micro-MRI, micro-SPECT and micro-CT, in 21th Annual Scientific Meeting - European Society for Magnetic Resonance in Medicine and Biology, Copenhagen, Denmark, 2004, pp. 22-23.
N. Van Camp, Huysmans, T., Verhoye, M., Galjart, N., Sijbers, J., and Van Der Linden, A., Statistical shape analysis on 3D MRI of the ventricular system of the Cyln2/Rsn double knock-out mice, in Proceedings of the International Society for Magnetic Resonance in Medicine, Berlin, Germany, 2007, p. 1869.PDF icon Full text (138.11 KB)
N. Van Camp, Vreys, R., Van Laere, K., Lauwers, E., Beque, D., Verhoye, M., Casteels, C., Verbruggen, A., Debyser, Z., Mortelmans, L., Sijbers, J., Nuyts, J., Baekelandt, V., and Van Der Linden, A., Morphologic and functional changes in the unilateral 6-hydroxydopamine lesion rat model for Parkinson's disease discerned with microSPECT and quantitative MRI., Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 23, no. 2, pp. 65-75, 2010.
S. Van Cauter, Veraart, J., Sijbers, J., Peeters, R. R., Himmelreich, U., Gool, V. S., Van Calenbergh, F., De Vleeschouwer, S., Van Hecke, W., and Sunaert, S., Diffusion kurtosis imaging in the grading of gliomas, Radiology, vol. 2, pp. 492-501, 2012.
S. Van Cauter, Veraart, J., Sijbers, J., Himmelreich, U., Peeters, R. R., Van Gool, S., and Van Hecke, W., Mean Kurtosis: a new potential biomarker for brain tumor grading, 3rd meeting of the ISMRM Benelux Chapter. Hoeven, The Netherlands, 2011.PDF icon Download abstract (369.6 KB)
M. Van Dael, Danckaers, F., De Schryver, T., Huysmans, T., Verboven, P., Van Hoorebeke, L., Sijbers, J., and Nicolai, B., Combining 3D vision and X-ray radiography for internal quality inspection of foods, 30th Targeted Technologies for Sustainable Food Systems (EFFoST) International Conference. Austrian Economic Chamber, Vienna, Austria, 2016.
M. Van Dael, Lebotsa, S., Herremans, E., Verboven, P., Sijbers, J., Opara, U. L., Cronje, U. L., and Nicolai, B., A segmentation and classification algorithm for online detection of internal disorders in citrus using X-ray radiographs, Postharvest Biology and Technology, vol. 112, pp. 205-214, 2016.

Pages