Publications

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2025
M. Siqueira Pinto, Improved Diagnosis and Prognosis of Mild Traumatic Brain Injury via Harmonised Diffusion MRI, 2025.
M. Siqueira Pinto, Improved Diagnosis and Prognosis of Mild Traumatic Brain Injury via Harmonised Diffusion MRI, 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.
K. Vinay Jambhali, Koirala, B., and Scheunders, P., Leaf Water Thickness Estimation from Spectral Reflectance, in 2025 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2025, pp. 1-5.PDF icon ketaki_whispers.pdf (1.09 MB)
H. Khan, Giraldo, D., Woodruff, H. C., Werthen-Brabants, L., Mali, S. Atul, Amirrajab, S., De Brouwer, E., Popescu, V., Van Wijmeersch, B., Gerlach, O., Sijbers, J., Peeters, L. M., and Lambin, P., Leveraging Hand-Crafted Radiomics on Multicenter FLAIR MRI for Predicting Disability Worsening in People with Multiple Sclerosis, Front. Neurosci., vol. 19, 2025.
Y. Huybrechts, De Ridder, R., Bergen, D., De Samber, B., Boudin, E., Tonelli, F., Knapen, D., Vergauwen, L., Schepers, D., Van Dijck, E., Tong, Q., Verhulst, A., De Beenhouwer, J., Sijbers, J., Hammond, C., Forlino, A., Mortier, G., Coucke, P., P Witten, E., Kwon, R. Young, Willaert, A., Hendrickx, G., and Van Hul, W., Loss of the Ubiquitin-Associated Domain of sqstm1/p62 in Zebrafish Causes a Phenotype Resembling Paget’s Disease of Bone, Calcified Tissue International, vol. 116, no. 1, pp. 1-15, 2025.
Y. Huybrechts, De Ridder, R., Bergen, D., De Samber, B., Boudin, E., Tonelli, F., Knapen, D., Vergauwen, L., Schepers, D., Van Dijck, E., Tong, Q., Verhulst, A., De Beenhouwer, J., Sijbers, J., Hammond, C., Forlino, A., Mortier, G., Coucke, P., P Witten, E., Kwon, R. Young, Willaert, A., Hendrickx, G., and Van Hul, W., Loss of the Ubiquitin-Associated Domain of sqstm1/p62 in Zebrafish Causes a Phenotype Resembling Paget’s Disease of Bone, Calcified Tissue International, vol. 116, no. 1, pp. 1-15, 2025.
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)
D. Ali Chaghdo, Koirala, B., Cristina, L., De Kock, T., Fontaine, L., Hayen, R., and Scheunders, P., Moisture Content Estimation of Porous Building Stones using Hyperspectral Imaging, Scientific Data, vol. 13, p. 102, 2025.PDF icon moisture_content_estimation_of_porous_building_sto.pdf (4.32 MB)
J. Sanctorum, Sijbers, J., and De Beenhouwer, J., Multi-contrast benchmarking of edge illumination Monte Carlo simulations using virtual gratings, Journal of Applied Physics, vol. 137, no. 10, p. 104904, 2025.
J. Sanctorum, Sijbers, J., and De Beenhouwer, J., Multi-contrast benchmarking of edge illumination Monte Carlo simulations using virtual gratings, Journal of Applied Physics, vol. 137, no. 10, p. 104904, 2025.
K. Duquesne, Van Oevelen, A., Sijbers, J., Van Paepegem, W., and Audenaert, E., A novel Soft Tissue-Integrated Kinematic Solver for skeletal motion: Validation and applications, Computer Methods and Programs in Biomedicine, vol. 265, 2025.
J. De Beenhouwer and Sijbers, J., A PHASE‑CONTRAST X‑RAY IMAGING SYSTEM FOR OBTAINING A DARK‑FIELD IMAGE AND A METHOD THEREFOR, U.S. Patent EP 4 351 425 B12025.PDF icon Download patent (547.58 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)
T. Van De Looverbosch, De Beuckeleer, S., De Smet, F., Sijbers, J., and De Vos, W., Proximity Adjusted Centroid Mapping for Accurate Detection of Nuclei in Dense 3D Cell Systems, Computers in Biology and Medicine, vol. 185, p. 109561, 2025.
J. Grammens, Shaping the future: 3D knee morphology analysis and predictive models for data-driven patient selection, 2025.PDF icon Download thesis (4.98 MB)
F. Linsen, Iuso, D., and Sijbers, J., Single X-ray Projection Material Decomposition using a Mesh Projector, in 14th Conference on Industrial Computed Tomography (iCT), 4 - 7 February 2025, Antwerp, Belgium (iCT 2025), 2025.PDF icon Download paper (857.7 KB)
K. Vinay Jambhali, Koirala, B., Bnoulkacem, Z., and Scheunders, P., Soil Moisture Content Estimation From Hyperspectral Remote Sensing Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 22231-22240, 2025.PDF icon soil_moisture_content_estimation_from_hyperspectral_remote_sensing_data_1_.pdf (9.35 MB)
X. Tao, Koirala, B., Rasti, B., Plaza, A., and Scheunders, P., A Spectral-Spatial Attention Network for Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-15, 2025.PDF icon assun.pdf (2.01 MB)
M. Yosifov, Fröhler, B., Sijbers, J., De Beenhouwer, J., Kastner, J., and Heinzl, C., Superimposing Synthetic Defects into Real XCT Data and Segmentation-Based Comparison for Advanced Probability of Detection Evaluation, Journal of Nondestructive Evaluation , vol. 44, no. 119, 2025.
J. Van der Rauwelaert, Bossuyt, C., Verleden, S., and Sijbers, J., SwinIR-based Dual-Domain Reconstruction for Sparse-View Computed Tomography, Journal of Nondestructive Evaluation, vol. 44, no. 111, 2025.
P. - J. Vanthienen, Towards adaptive multi-resolution edge illumination X-ray phase contrast imaging, 2025.
X. Haijen, Koirala, B., Tao, X., and Scheunders, P., A Two-Step Linear Mixing Model for Unmixing Under Hyperspectral Variability, in IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, 2025, pp. 8707-8711.PDF icon a_two_step_linear_mixing_model_for_unmixing_under_hyperspectral_variability.pdf (1.11 MB)

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