Publications

Export 54 results:
Author Type [ Year(Asc)]
Filters: First Letter Of Last Name is C  [Clear All Filters]
2025
J. Deng, Meenaketan, B. Linkoon P., Takalloo, S. Ebrahimi, Chai, Y. Chin, Torfs, T., Braeken, D., De Beenhouwer, J., and Sijbers, J., “In-depth imaging of in-vitro tissue models using electrical impedance tomography”, in iCT 2025 - 14th Conference on Industrial Computed Tomography, 2025, vol. 4 - 7 February.
D. Ali Chaghdo, Koirala, B., Fontaine, L., De Kock, T., Hayen, R., and Scheunders, P., “Moisture Content Estimation of Heterogenous Porous Stones Using Hyperspectral Imaging”, in 2025 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2025, pp. 1-5.PDF icon danish_whispers_2025.pdf (678.02 KB)
H. Le, Bossuyt, C., Escoda, J., Costin, M., De Beenhouwer, J., and Sijbers, J., “Proximal Neural Networks based reconstruction for few-view CT applications”, in 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium, 2025.PDF icon Download paper (4.27 MB)
2024
C. Bossuyt, den Dekker, A. J., Iuso, D., Le Hoang, T., Escoda, J., Costin, M., Sijbers, J., and De Beenhouwer, J., “Deep image prior for sparse-view reconstruction in static, rectangular multi-source x-ray CT systems for cargo scanning”, in SPIE Developments in X-Ray Tomography XV, 2024, vol. 13152.
D. Ali Chaghdo, Koirala, B., Cristina, L., Hayen, R., and Scheunders, P., “Exploring the Potential of Hyperspectral Imaging to Estimate the Moisture Content in Natural and Historical Stones”, in 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2024, pp. 1-5.PDF icon exploring_the_potential_of_hyperspectral_imaging_to_estimate_the_moisture_content_in_natural_and_historical_stones.pdf (1.81 MB)
D. Ali Chaghdo, Koirala, B., Cristina, L., Hayen, R., and Scheunders, P., “Exploring the Potential of Hyperspectral Imaging to Estimate the Moisture Content in Natural and Historical Stones”, in 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2024, pp. 1-5.PDF icon exploring_the_potential_of_hyperspectral_imaging_to_estimate_the_moisture_content_in_natural_and_historical_stones.pdf (1.81 MB)
2022
B. Rasti, Koirala, B., Scheunders, P., and Chanussot, J., “Deep Blind Unmixing using Minimum Simplex Convolutional Network”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 28-31.PDF icon misicnet_igarss2022.pdf (1.29 MB)
G. Pascoletti, Huysmans, T., Conti, P., and Zanetti, E. M., “Evaluation of a Morphable Anthropomorphic Articulated Total Body Model”, in Design Tools and Methods in Industrial Engineering II - Proceedings of the 2nd International Conference on Design Tools and Methods in Industrial Engineering, ADM 2021, 2022, pp. 761–772.
G. Pascoletti, Huysmans, T., Conti, P., and Zanetti, E. M., “Evaluation of a Morphable Anthropomorphic Articulated Total Body Model”, in Design Tools and Methods in Industrial Engineering II - Proceedings of the 2nd International Conference on Design Tools and Methods in Industrial Engineering, ADM 2021, 2022, pp. 761–772.
G. Pascoletti, Huysmans, T., Conti, P., and Zanetti, E. M., “Evaluation of a Morphable Anthropomorphic Articulated Total Body Model”, in Design Tools and Methods in Industrial Engineering II - Proceedings of the 2nd International Conference on Design Tools and Methods in Industrial Engineering, ADM 2021, 2022, pp. 761–772.
D. Iuso, Chatterjee, S., Heylen, R., Cornelissen, S., De Beenhouwer, J., and Sijbers, J., “Evaluation of deeply supervised neural networks for 3D pore segmentation in additive manufacturing”, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122421K.PDF icon Download paper (protected) (1.79 MB)
D. Iuso, Chatterjee, S., Heylen, R., Cornelissen, S., De Beenhouwer, J., and Sijbers, J., “Evaluation of deeply supervised neural networks for 3D pore segmentation in additive manufacturing”, in SPIE Optical Engineering: Developments in X-Ray Tomography XIV , 2022, vol. 12242, p. 122421K.PDF icon Download paper (protected) (1.79 MB)
2021
E. Ribeiro Sabidussi, Caan, M., Bazrafkan, S., den Dekker, A. J., Sijbers, J., Niessen, W. J., and Poot, D. H. J., “Recurrent Inference Machines as Inverse Problem Solvers for MR Relaxometry”, in MIDL 2021 - Medical Imaging with Deep Learning, 2021.
2019
J. Van Houtte, Stanković, K., Booth, B. G., Danckaers, F., Bertrand, V., Verstreken, F., Sijbers, J., and Huysmans, T., “An Articulating Statistical Shape Model of the Human Hand”, in Advances in Human Factors in Simulation and Modeling (AHFE 2018), Cham, 2019, vol. 780, pp. 433–445.
F. Danckaers, Scataglini, S., Haelterman, R., Van Tiggelen, D., Huysmans, T., and Sijbers, J., “Automatic Generation of Statistical Shape Models in Motion”, in Advances in Human Factors in Simulation and Modeling (AHFE 2018), Cham, 2019, vol. 780, pp. 170–178.
S. Mukunthan, Vleugels, J., Huysmans, T., and De Bruyne, G., “Latent Heat Loss of a Virtual Thermal Manikin for Evaluating the Thermal Performance of Bicycle Helmets”, in Advances in Human Factors in Simulation and Modeling, Cham, 2019, pp. 66–78.
2016
J. Cant, Behiels, G., and Sijbers, J., “Automatic geometric calibration of chest tomosynthesis using data consistency conditions”, in The 4th International Conference on Image Formation in X-Ray Computed Tomography, Salt Lake City, Utah, USA, 2016, pp. 161-164.PDF icon Download paper (1.9 MB)
J. Cant, Behiels, G., and Sijbers, J., “Continuous Digital Laminography”, in 6th Conference on Industrial Computed Tomography, Wels, Austria, 2016.PDF icon Download paper (363.74 KB)
W. Van Aarle, Cant, J., De Beenhouwer, J., and Sijbers, J., “Discrete tomographic reconstruction from deliberately motion blurred X-ray projections”, in 6th Conference on Industrial Computed Tomography, Wels, Austria, 2016, pp. 1-6.PDF icon Download paper (444.66 KB)
L. F. Alves Pereira, Janssens, E., Van Dael, M., Verboven, P., Nicolai, B., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., “Fast X-ray Computed Tomography via Image Completion”, in 6th Conference on Industrial Computed Tomography(iCT), Wels, Austria, 2016, pp. 1-5.
W. Liao, M Mura, D., Huang, X., Chanussot, J., Gautama, S., Scheunders, P., and Philips, W., “Lidar information extraction by attribute filters with partial reconstruction”, in IEEE IGARSS 2016, International Geoscience and Remote Sensing Symposium, pp. 1484-1487, Beijing, July 10-15 , 2016.
T. B. A. de Carvalho, Sibaldo, M. A. A., Tsang, I. R., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., “Pixel clustering for face recognition”, in 5th Brazilian Conference on Intelligent Systems, Brazil, 2016, pp. 121-126.
T. B. A. de Carvalho, Sibaldo, M. A. A., Tsang, I. R., Cavalcanti, G. D. C., Tsang, I. J., and Sijbers, J., “Pixel clustering for face recognition”, in 5th Brazilian Conference on Intelligent Systems, Brazil, 2016, pp. 121-126.
2015
W. Liao, Huang, F., v. Coillie, F., Thoonen, G., Pizurica, A., Scheunders, P., and Philips, W., “Two-stage fusion of thermal hyperspectral and visible RGB image by PCA and guided filter”, in IEEE Whispers 2015, Workshop on Hyperspectral Image and Signal Processing, June 2-5, Tokyo, 2015.
2014
S. Verwulgen, Lacko, D., De Bruyne, G., Danckaers, F., Christis, N., Sijbers, J., and Huysmans, T., “Anthropometrics 2.0: Enrichment of Classical Anthropometry through Multidisciplinary Collaboration”, in 6th International Conference on Engineering & Product Design Education., 2014.

Pages