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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 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 326-329.PDF icon igarss_2022.pdf (238.85 KB)
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.
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)
2023
C. Smekens, Vanhevel, F., Beirinckx, Q., Janssens, T., and Van Dyck, P., Accelerated Dual-contrast Three-dimensional Knee Magnetic Resonance Imaging Using Super-resolution Reconstructed Deep Learning-enhanced Two-dimensional Dixon Turbo Spin-echo Imaging, Seminars in Musculoskeletal Radiology, vol. 27, no. S01. Thieme Medical Publishers, Inc., pp. 1-24, 2023.
B. Koirala, Das, S., Rasti, B., Ghamisi, P., Gloaguen, R., and Scheunders, P., Acritical Comparison of Linear and Nonlinear Unmixing for Intimate Mixtures, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon critical_comparison.pdf (1002.06 KB)
B. Huyge, Vanthienen, P. - J., Six, N., Sijbers, J., and De Beenhouwer, J., Adapting an XCT-scanner to enable edge illumination X-ray phase contrast imaging, e-Journal of Nondestructive Testing, vol. 28, no. 3, 2023.
B. Shafieizargar, Jeurissen, B., Poot, D. H. J., Klein, S., Van Audekerke, J., Verhoye, M., den Dekker, A. J., and Sijbers, J., ADEPT: Accurate Diffusion EPI with multi-contrast shoTs, Magnetic Resonance in Medicine, vol. 89, no. 1, pp. 396-410, 2023.PDF icon Download paper (5.82 MB)
J. Osstyn, Danckaers, F., Van Haver, A., Oramas, J., Vanhees, M., and Sijbers, J., Automated virtual reduction of displaced distal radius fractures, in IEEE International Symposium on Biomedical Imaging, Cartagena, Colombia, 2023, pp. 1-4.
N. Francken, Sanctorum, J., Renders, J., Paramonov, P., Sijbers, J., and De Beenhouwer, J., A condensed history approach to x-ray dark field effects in edge illumination phase contrast simulations, in 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2023.PDF icon Download paper (4.14 MB)
Z. Bnoulkacem, Vlaminck, M., Morocho, G. Raimundo L., Zivariadab, H., Zahiri, Z., Koirala, B., Platisa, L., Luong, H., Scheunders, P., Mangialetto, F., and Bufi, I., Corrosion detection using hyperspectral VNIR and SWIR imaging for drone-based inspection of electrical pylons, in EUROCORR 2023, European Corrosion Congress, Proceedings, 2023, p. 2.
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. Yosifov, Weinberger, P., Reiter, M., Fröhler, B., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations, e-Journal of Nondestructive Testing, vol. 28, no. 3, 2023.PDF icon Download paper (2.37 MB)
J. Renders, Shafieizargar, B., Verhoye, M., De Beenhouwer, J., den Dekker, A. J., and Sijbers, J., DELTA-MRI: Direct deformation Estimation from LongiTudinally Acquired k-space data, in IEEE International Symposium on Biomedical Imaging, 2023.
M. Vlaminck, Bnoulkacem, Z., Luzardo, G., Zivariadab, H., Zahiri, Z., Koirala, B., Mangialetto, F., Bufi, I., Platisa, L., Jayapala, M., Scheunders, P., and Luong, H., Drone-Based Corrosion Detection on High-Voltage Transmission Towers Using Hyperspectral Imaging, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.
E. Ribeiro Sabidussi, Klein, S., Jeurissen, B., and Poot, D. H. J., dtiRIM: A generalisable deep learning method for diffusion tensor imaging, Neuroimage, vol. 269, 2023.PDF icon Download paper (5.11 MB)
L. - P. Lumbeeck, Paramonov, P., Sijbers, J., and De Beenhouwer, J., Efficient iterative reconstruction with beam shape compensation for THz computed tomography, Applied Optics, vol. 62, no. 17, pp. F31-F40, 2023.PDF icon Download paper (1.81 MB)

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