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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.
N. Vidas-Guscic, van Rijswijk, J., Van Audekerke, J., Jeurissen, B., Nnah, I., Tang, H., Muñoz-Sanjuan, I., Pustina, D., Cachope, R., Van der Linden, A., Bertoglio, D., and Verhoye, M., Diffusion MRI marks progressive alterations in fiber integrity in the zQ175DN mouse model of Huntington's disease, Neurobiology of Disease, vol. 193, p. 106438, 2024.
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)
D. Iuso, Chatterjee, S., Cornelissen, S., Verhees, D., De Beenhouwer, J., and Sijbers, J., Voxel-wise segmentation for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural models, Applied Intelligence, vol. 54, pp. 13160–13177, 2024.PDF icon Download paper (2.48 MB)
D. Iuso, Chatterjee, S., Cornelissen, S., Verhees, D., De Beenhouwer, J., and Sijbers, J., Voxel-wise segmentation for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural models, Applied Intelligence, vol. 54, pp. 13160–13177, 2024.PDF icon Download paper (2.48 MB)
2025
K. G. Schilling, Howard, A. F. D., Grussu, F., Ianus, A., Hansen, B., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F., Syeda, W., Wang, N., Veraart, J., Roebroeck, A., Bagdasarian, A. F., Eichner, C., Sepehrband, F., Zimmermann, J., Soustelle, L., Bowman, C., Tendler, B. C., Hertanu, A., Jeurissen, B., Verhoye, M., Frydman, L., van de Looij, Y., Hike, D., Dunn, J. F., Miller, K., Landman, B. A., Shemesh, N., Anderson, A., McKinnon, E., Farquharson, S., Dell'Acqua, F., Pierpaoli, C., Drobnjak, I., Leemans, A., Harkins, K. D., Descoteaux, M., Xu, D., Huang, H., Santin, M. D., Grant, S. C., Obenaus, A., Kim, G. S., Wu, D., Le Bihan, D., Blackband, S. J., Ciobanu, L., Fieremans, E., Bai, R., Leergaard, T. B., Zhang, J., Dyrby, T. B., G. Johnson, A., Cohen‐Adad, J., Budde, M. D., and Jelescu, I. O., Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3—Ex vivo imaging: Data processing, comparisons with microscopy, and tractography, Magnetic Resonance in Medicine, vol. 93, no. 6, pp. 2561 - 2582, 2025.
K. G. Schilling, Grussu, F., Ianus, A., Hansen, B., Howard, A. F. D., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F., Syeda, W., Wang, N., Veraart, J., Roebroeck, A., Bagdasarian, A. F., Eichner, C., Sepehrband, F., Zimmermann, J., Soustelle, L., Bowman, C., Tendler, B. C., Hertanu, A., Jeurissen, B., Verhoye, M., Frydman, L., van de Looij, Y., Hike, D., Dunn, J. F., Miller, K., Landman, B. A., Shemesh, N., Anderson, A., McKinnon, E., Farquharson, S., Dell'Acqua, F., Pierpaoli, C., Drobnjak, I., Leemans, A., Harkins, K. D., Descoteaux, M., Xu, D., Huang, H., Santin, M. D., Grant, S. C., Obenaus, A., Kim, G. S., Wu, D., Le Bihan, D., Blackband, S. J., Ciobanu, L., Fieremans, E., Bai, R., Leergaard, T. B., Zhang, J., Dyrby, T. B., G. Johnson, A., Cohen‐Adad, J., Budde, M. D., and Jelescu, I. O., Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 2—Ex vivo imaging: Added value and acquisition, Magnetic Resonance in Medicine, vol. 93, no. 6, pp. 2535 - 2560, 2025.
K. G. Schilling, Grussu, F., Ianus, A., Hansen, B., Howard, A. F. D., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F., Syeda, W., Wang, N., Veraart, J., Roebroeck, A., Bagdasarian, A. F., Eichner, C., Sepehrband, F., Zimmermann, J., Soustelle, L., Bowman, C., Tendler, B. C., Hertanu, A., Jeurissen, B., Verhoye, M., Frydman, L., van de Looij, Y., Hike, D., Dunn, J. F., Miller, K., Landman, B. A., Shemesh, N., Anderson, A., McKinnon, E., Farquharson, S., Dell'Acqua, F., Pierpaoli, C., Drobnjak, I., Leemans, A., Harkins, K. D., Descoteaux, M., Xu, D., Huang, H., Santin, M. D., Grant, S. C., Obenaus, A., Kim, G. S., Wu, D., Le Bihan, D., Blackband, S. J., Ciobanu, L., Fieremans, E., Bai, R., Leergaard, T. B., Zhang, J., Dyrby, T. B., G. Johnson, A., Cohen‐Adad, J., Budde, M. D., and Jelescu, I. O., Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 2—Ex vivo imaging: Added value and acquisition, Magnetic Resonance in Medicine, vol. 93, no. 6, pp. 2535 - 2560, 2025.
I. O. Jelescu, Grussu, F., Ianus, A., Hansen, B., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F., Syeda, W., Wang, N., Veraart, J., Roebroeck, A., Bagdasarian, A. F., Eichner, C., Sepehrband, F., Zimmermann, J., Soustelle, L., Bowman, C., Tendler, B. C., Hertanu, A., Jeurissen, B., Verhoye, M., Frydman, L., van de Looij, Y., Hike, D., Dunn, J. F., Miller, K., Landman, B. A., Shemesh, N., Anderson, A., McKinnon, E., Farquharson, S., Dell'Acqua, F., Pierpaoli, C., Drobnjak, I., Leemans, A., Harkins, K. D., Descoteaux, M., Xu, D., Huang, H., Santin, M. D., Grant, S. C., Obenaus, A., Kim, G. S., Wu, D., Le Bihan, D., Blackband, S. J., Ciobanu, L., Fieremans, E., Bai, R., Leergaard, T. B., Zhang, J., Dyrby, T. B., G. Johnson, A., Cohen‐Adad, J., Budde, M. D., and Schilling, K. G., Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In vivo small-animal imaging, Magnetic Resonance in Medicine, vol. 93, no. 6, pp. 2507 - 2534, 2025.
K. G. Schilling, Howard, A. F. D., Grussu, F., Ianus, A., Hansen, B., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F., Syeda, W., Wang, N., Veraart, J., Roebroeck, A., Bagdasarian, A. F., Eichner, C., Sepehrband, F., Zimmermann, J., Soustelle, L., Bowman, C., Tendler, B. C., Hertanu, A., Jeurissen, B., Verhoye, M., Frydman, L., van de Looij, Y., Hike, D., Dunn, J. F., Miller, K., Landman, B. A., Shemesh, N., Anderson, A., McKinnon, E., Farquharson, S., Dell'Acqua, F., Pierpaoli, C., Drobnjak, I., Leemans, A., Harkins, K. D., Descoteaux, M., Xu, D., Huang, H., Santin, M. D., Grant, S. C., Obenaus, A., Kim, G. S., Wu, D., Le Bihan, D., Blackband, S. J., Ciobanu, L., Fieremans, E., Bai, R., Leergaard, T. B., Zhang, J., Dyrby, T. B., G. Johnson, A., Cohen‐Adad, J., Budde, M. D., and Jelescu, I. O., Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3—Ex vivo imaging: Data processing, comparisons with microscopy, and tractography, Magnetic Resonance in Medicine, vol. 93, no. 6, pp. 2561 - 2582, 2025.
I. O. Jelescu, Grussu, F., Ianus, A., Hansen, B., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F., Syeda, W., Wang, N., Veraart, J., Roebroeck, A., Bagdasarian, A. F., Eichner, C., Sepehrband, F., Zimmermann, J., Soustelle, L., Bowman, C., Tendler, B. C., Hertanu, A., Jeurissen, B., Verhoye, M., Frydman, L., van de Looij, Y., Hike, D., Dunn, J. F., Miller, K., Landman, B. A., Shemesh, N., Anderson, A., McKinnon, E., Farquharson, S., Dell'Acqua, F., Pierpaoli, C., Drobnjak, I., Leemans, A., Harkins, K. D., Descoteaux, M., Xu, D., Huang, H., Santin, M. D., Grant, S. C., Obenaus, A., Kim, G. S., Wu, D., Le Bihan, D., Blackband, S. J., Ciobanu, L., Fieremans, E., Bai, R., Leergaard, T. B., Zhang, J., Dyrby, T. B., G. Johnson, A., Cohen‐Adad, J., Budde, M. D., and Schilling, K. G., Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In vivo small-animal imaging, Magnetic Resonance in Medicine, vol. 93, no. 6, pp. 2507 - 2534, 2025.
J. Morez, De Luca, A., Pietsch, M., Christiaens, D., Baete, S. H., Reisert, M., and Jeurissen, B., Handbook of Diffusion MR Tractography: Multishell models. Elsevier, 2025, pp. 201 - 220.
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.
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., 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)
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)
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)

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