Publications

Export 1318 results:
Author Type [ Year(Asc)]
2022
B. Koirala, Zahiri, Z., and Scheunders, P., “A Robust Supervised Method for Estimating Soil Moisture Content From Spectral Reflectance”, IEEE Transactions on Geoscience and Remote Sensing , vol. 60, pp. 1-13, 2022.PDF icon soil_moisture_content.pdf (7.95 MB)
B. Koirala and Scheunders, P., “A robust supervised method to estimate chlorophyll ab content from spectral reflectance”, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
B. Koirala and Scheunders, P., “A Robust Supervised Method to Estimate Chlorophyll Ab Content from Spectral Reflectance”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 326-329.PDF icon igarss_2022.pdf (238.85 KB)
N. Chabi, Iuso, D., Beuing, O., Preim, B., and Saalfeld, S., “Self-calibration of C-arm imaging system using interventional instruments during an intracranial biplane angiography.”, Int J Comput Assist Radiol Surg, 2022.
G. Zhang, Scheunders, P., Cerra, D., and Muller, R., “Shadow-aware nonlinear spectral unmixing for hyperspectral imagery”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 5514-5533, 2022.PDF icon shadow-aware_nonlinear_spectral_unmixing_for_hyperspectral_imagery.pdf (9.51 MB)
B. Rasti, Koirala, B., and Scheunders, P., “Sparse unmixing using deep convolutional networks”, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
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)
C. Bossuyt, De Beenhouwer, J., and Sijbers, J., “Sparse view rectangular X-ray CT for cargo inspection using the ASTRA toolbox”, 5th international Conference on Tomography of Materials & Structures, 27the June - 1ste July, Grenoble, France. 2022.
Y. Huybrechts, De Ridder, R., De Samber, B., Boudin, E., Tonelli, F., Knapen, D., Schepers, D., De Beenhouwer, J., Sijbers, J., Forlino, A., Coucke, P., P. Witten, E., Kwon, R., Willaert, A., Hendrickx, G., and Van Hul, W., “The sqstm1tmΔUBA zebrafish model, a proof-of-concept in vivo model for Paget’s disease of bone?”, Bone Reports, vol. 16, no. 101483, pp. 75-76, 2022.
M. Nicastro, Jeurissen, B., Beirinckx, Q., Smekens, C., Poot, D. H. J., Sijbers, J., and den Dekker, A. J., “To shift or to rotate? Comparison of acquisition strategies for multi-slice super-resolution magnetic resonance imaging”, Frontiers in Neuroscience, pp. 1-18, 2022.PDF icon Download paper (5.96 MB)
K. Rafiezadeh Sahi, Ghamisi, P., Rasti, B., Scheunders, P., and Gloaguen, R., “Unsupervised Data Fusion with Deeper Perspective: A Novel Multi-Sensor Deep Clustering Algorithm”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol. 15, pp. 284-296, 2022.PDF icon mdc_jstars-final_version.pdf (6.53 MB)
J. Sanctorum, Sijbers, J., and De Beenhouwer, J., “Virtual grating approach for Monte Carlo simulations of edge illumination-based x-ray phase contrast imaging”, Optics Express, vol. 31, no. 21, pp. 38695-38708, 2022.PDF icon Download paper (2.95 MB)
2021
J. Van Houtte, Gao, X., Sijbers, J., and Zheng, G., “2D/3D registration with a statistical deformation model prior using deep learning”, in the IEEE International Conference on Biomedical and Health Informatics (BHI'21) , 2021, pp. 1-4.PDF icon Download paper (1.41 MB)
S. Hosseinnejad, Bosch, E. G. T., Kohr, H., Lazić, I., Zharinov, V., Franken, E., Sijbers, J., and De Beenhouwer, J., “3D atomic resolution tomography from iDPC-STEM images using multiple atom model prior”, Microscopy Conference. 2021.PDF icon Download abstract (534.35 KB)
L. - P. Lumbeeck, Paramonov, P., Sijbers, J., and De Beenhouwer, J., “3D THz Tomography Incorporating the Beam Shape”, in 2021 OSA Imaging and Applied Optics Congress, 2021.
B. Shafieizargar, Jeurissen, B., Poot, D. H. J., Van Audekerke, J., Verhoye, M., den Dekker, A. J., and Sijbers, J., “Accelerated multi-shot diffusion weighted imaging with joint estimation of diffusion and phase parameters”, Magn Reson Mater Phy, vol. 34. pp. S57-S58, 2021.
M. Naeyaert, Aelterman, J., Golkov, V., Cremers, D., Pizurica, A., Sijbers, J., and Verhoye, M., “Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing”, Magnetic Resonance in Medicine, vol. 85, no. 3, pp. 1397-1413, 2021.
J. Renders, Sijbers, J., and De Beenhouwer, J., “Adjoint image warping using multivariate splines with application to 4D-CT”, Medical Physics, vol. 48, no. 10, pp. 6362-6374, 2021.PDF icon Download paper (6.28 MB)
B. Huyge, Sanctorum, J., Six, N., De Beenhouwer, J., and Sijbers, J., “Analysis of flat fields in edge illumination phase contrast imaging”, in 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 2021, pp. 1310-1313.PDF icon Download paper (368.24 KB)
H. R. P. Park, Verhelst, H., Quak, M., Jeurissen, B., and Krebs, R. M., “Associations between different white matter properties and reward-based performance modulation”, Brain Structure and Function, 2021.
B. Rasti, Koirala, B., Scheunders, P., Ghamisi, P., and Gloaguen, R., “BOOSTING HYPERSPECTRAL IMAGE UNMIXING USING DENOISING: FOUR SCENARIOS”, in IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021.
B. Rasti, Koirala, B., Scheunders, P., Ghamisi, P., and Gloaguen, R., “Boosting Hyperspectral Image Unmixing using Denoising: Four Scenarios”, in IGARSS 2021, International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.
D. Iuso, Nazemi, E., Six, N., De Samber, B., De Beenhouwer, J., and Sijbers, J., “CAD-based scatter compensation for polychromatic reconstruction of additive manufactured parts”, in IEEE ICIP, 2021, pp. 2948-2952.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., “Chapter Eight - General conclusions and future perspectives”, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.
A. De Backer, Fatermans, J., den Dekker, A. J., and Van Aert, S., “Chapter Five - Optimal experiment design for nanoparticle atom counting from ADF STEM images”, in Advances in Imaging and Electron Physics, vol. 217, Science Direct Elsevier, 2021.

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