Publications

Export 487 results:
[ Author(Asc)] Type Year
Filters: Term is Visionlab and Type is Conference Paper  [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 
A
V. Andrejchenko, Heylen, R., Scheunders, P., Philips, W., and Liao, W., “Classification of hyperspectral images with very small training size using sparse unmixing”, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 2016.
L. F. Alves Pereira, Dabravolski, A., Tsang, I. R., Cavalcanti, G. D. C., and Sijbers, J., “Conveyor belt X-ray CT using Domain Constrained Discrete Tomography”, in Sibgrapi conference on Graphics, Patterns and Images, 2014, pp. 290 - 297.PDF icon Download paper (3.45 MB)
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.
L. F. Alves Pereira, Roelandts, T., and Sijbers, J., “Inline 3D X-ray Inspection of Food using Discrete Tomography”, in InsideFood Symposium, Leuven, Belgium, 2013.PDF icon Download paper (292.06 KB)
L. F. Alves Pereira, De Beenhouwer, J., Kastner, J., and Sijbers, J., “Extreme Sparse X-ray Computed Laminography Via Convolutional Neural Networks”, in ICTAI 2020, 2020.PDF icon Download paper (2.5 MB)
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.
L. F. Alves Pereira, Van Nieuwenhove, V., De Beenhouwer, J., and Sijbers, J., “A Deep Convolutional Framelet Network based on Tight Steerable Wavelet: application to sparse-view medical tomosynthesis”, in International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2021.
L. F. Alves Pereira, De Beenhouwer, J., and Sijbers, J., “The Deep Steerable Convolutional Framelet Network for Suppressing Directional Artifacts in X-ray Tomosynthesis”, in 31st European Signal Processing Conference, EUSIPCO, 2023.
M. A. Akhter, Heylen, R., and Scheunders, P., “Hyperspectral unmixing with projection onto convex sets using distance geometry”, in IEEE IGARSS 2015, International Geoscience and Remote Sensing Symposium, Milan, Italy, July 26-31, 2015, pp. 5059-5062.
M. A. Akhter, Mahmood, Z., and Scheunders, P., “Hyperspectral image subpixel mapping using Getis index”, in IEEE-WHISPERS 2013, Workshop on Hyperspectral Image and Signal Processing, Gainesville, Florida, June 25-28, 2013, 2013.
M. A. Akhter, Heylen, R., and Scheunders, P., “Geometric matched filter for hyperspectral partial unmixing”, in IEEE-Whispers 2014, Workshop on Hyperspectral Image and Signal Processing, Lausanne, Suisse, 2014.
A. Adibi, Karami, A., Heylen, R., and Scheunders, P., “Optical Solutions for Improving Spatial Resolution of Hyperspectral Sensors”, in 8th workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, Los Angeles, USA, 2016.

Pages