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Magnetic Resonance Imaging

Magnetic resonance imaging and derived modalities.

Direct deformation estimation with recurrent inference machines for longitudinal MRI

J. Maes, Osstyn, J., Caan, M., den Dekker, A. J., and Sijbers, J., “Direct deformation estimation with recurrent inference machines for longitudinal MRI”, 2026 ISMRM-ISMRT Annual Meeting and Exhibition. International Society for Magnetic Resonance in Medicine, 2026.

Data-driven characterization of knee structures using non-negative matrix factorization of 3D multi-echo UTE MRI

C. Smekens, Van Dyck, P., Fuchs, P. S., Sijbers, J., Janssens, T., and Jeurissen, B., “Data-driven characterization of knee structures using non-negative matrix factorization of 3D multi-echo UTE MRI”, NMR in Biomedicine, vol. 39, no. 6, p. e70299, 2026.

Accurate and precise parameter estimation for diffusion magnetic resonance imaging

J. Morez, “Accurate and precise parameter estimation for diffusion magnetic resonance imaging”, 2026.

On false positive control in Fixel-Based Analysis

R. E. Smith, Christiaens, D., Jeurissen, B., Pietsch, M., Vaughan, D. N., Jackson, G., and Tournier, J. D., “On false positive control in Fixel-Based Analysis”, Proc Intl Soc Mag Reson Med, vol. 29. 2021.

dtiRIM: A recurrent inference machine for diffusion tensor estimation

E. R. Sabidussi, Klein, S., Jeurissen, B., and Poot, D. H. J., “dtiRIM: A recurrent inference machine for diffusion tensor estimation”, Proc Intl Soc Mag Reson Med 30. p. 1981, 2022.

Data-driven characterization of knee structures using non-negative matrix factorization of quantitative UTE Spiral VIBE MRI

C. Smekens, Van Dyck, P., Janssens, T., Sijbers, J., and Jeurissen, B., “Data-driven characterization of knee structures using non-negative matrix factorization of quantitative UTE Spiral VIBE MRI”, Proc. Intl. Soc. Mag. Reson. Med. 31. 2022.

Iterative model-based Rician bias correction and its application to denoising in diffusion MRI

J. - D. Tournier, Jeurissen, B., and Christiaens, D., “Iterative model-based Rician bias correction and its application to denoising in diffusion MRI”, Proc Intl Soc Mag Reson Med. p. 3795, 2023.

Fixel-based analysis of multi-shell diffusion MRI reveals white matter changes after long-duration spaceflight

B. Jeurissen, Jillings, S., Giraldo, D. L., Van Ombergen, A., Tomilovskaya, E., Pechenkova, E., Rukavishnikov, I., Petrovichev, V., Sijbers, J., Eulenburg, Pzu, and Wuyts, F. L., “Fixel-based analysis of multi-shell diffusion MRI reveals white matter changes after long-duration spaceflight”, Proc. Intl. Soc. Mag. Reson. Med. p. 2057, 2024.

Diffusion MRI marks progressive alterations in fiber integrity in the zQ175DN mouse model of Huntington's disease

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.

Handbook of Diffusion MR Tractography: Multishell models

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.

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