Publications
2026
Karat*, B. G., Jallais*, M., Khan, A. R., Aja-Fernández, S., Veraart, J., and Palombo, M. Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning. arXiv, 2026.
Jallais, M., Mancini, M., and Palombo, M. GAIA – Green AI for Accelerated Medical Imaging: Sustainable and Efficient Diffusion MRI Analysis. In Proceedings of OHBM 2026 Annual Meeting, Bordeaux, France, June 2026 (Poster).
Jallais, M., Mancini, M., and Palombo, M. GAIA – Green Artificial Intelligence for Accelerated medical imaging: Sustainable and efficient diffusion MRI analysis. In Proceedings of ISMRM 2026 - 34th Annual Meeting, Cape Town, South Africa, May 2026 (Oral).
Palombo, M., McNabb, C., Harrison, N. A., Cercignani, M., Jones, D. K., and Jallais, M. Biophysical Drivers of Cortical Water Exchange: Evidence for a Synaptic Signature in Diffusion MRI. In Proceedings of ISMRM 2026 - 34th Annual Meeting, Cape Town, South Africa, May 2026 (Oral).
Del Popolo, M. P., Palombo, M., Planchuelo-Gomez, A., Tax*, C., and Jallais*, M. CL + GUIDE: Posterior-guided sequence optimisation for multidimensional MRI. In Proceedings of ISMRM 2026 - 34th Annual Meeting, Cape Town, South Africa, May 2026 (Poster).
Akbar, M. U., Jallais, M., and Palombo, M. Green-dMRIPrep: diffusion MRI preprocessing pipeline with integrated QC, energy tracking, and carbon emissions auditing. In Proceedings of ISMRM 2026 - 34th Annual Meeting, Cape Town, South Africa, May 2026 (Poster).
2025
Jallais, M., Uhl, Q., Pavan, T., Molendowska, M., Jones, D. K., Jelescu, I. and Palombo, M. Bayesian Insights into Exchange and Restriction in Gray Matter Diffusion MRI. arXiv, 2025.
Jallais, M., Malaquin, S., Şimşek, K., Valette, J. and Palombo, M. Combining single and double di usion encoding for improved dendritic spine density estimation with magnetic resonance spectroscopy. In proceedings of ESMRMB 2025 - 41st Annual Scientific Meeting, Marseille (France), October 2025 (Oral).
Del Popolo, M. P., Palombo, M., Planchuelo-Gómez, A., Tax*, C. M. W., and Jallais*, M.. Subset selection in diffusion MRI: Uncertainty and degeneracy assessment with μGUIDE. In proceedings of ESMRMB 2025 - 41st Annual Scientific Meeting, Marseille (France), October 2025 (Poster).
Jallais, M., Malaquin, S., Şimşek, K., Valette, J. and Palombo M. Detecting dendritic spine density with double diffusion encoding magnetic resonance spectroscopy. In proceedings of ISMRM 2025 - 33rd Annual Meeting, Hawai’i (USA), May 2025 (Poster).
Şimşek, K., Jallais, M., Valette, J. and Palombo, M.. An analytical model of restricted diffusion in dendritic spines. In proceedings of ISMRM 2025 - 33rd Annual Meeting, Hawai’i (USA), May 2025 (Poster).
Kitchingman, L., Hernatu, A., Jallais, M., Şimşek, K., Turner, D. G, S. L, R., Kopanoglu, E., Jelescu, I. and Palombo M. Magnetic field correlation imaging quantifies demyelination and axonal loss. In proceedings of ISMRM 2025 - 33rd Annual Meeting, Hawai’i (USA), May 2025 (Power Pitch).
Gwyther, E., Iqbal, S., Powell, J., Golten, J., Jucker, B., Jallais, M., Jones, D. K., Tax, C. and M. Palombo. Exchange time from time-dependent diffusion-weighted mri as a potential biomarker for treatment response in human brain metastasis. In proceedings of ISMRM 2025 - 33rd Annual Meeting, Hawai’i (USA), May 2025 (Power Pitch).
Jallais, M., Malaquin, S., Şimşek, K., Valette, J. and Palombo, M. Detecting dendritic spine density with double diffusion encoding magnetic resonance spectroscopy. In proceedings of ISMRM Workshop on 40 Years of Diffusion: Past, Present & Future Perspectives, Kyoto (Japan), Feb 2025 (Oral).
Şimşek, K., Jallais, M., Valette, J. and M. Palombo. An analytical model of restricted diffusion in dendritic spines. In proceedings of ISMRM Workshop on 40 Years of Diffusion: Past, Present & Future Perspectives, Kyoto (Japan), Feb 2025 (Power Pitch).
Karat, B. G., Jallais, M., Khan, A. R., Veraart, J. and Palombo, M. The gain of adding noise: Improved tissue microstructure estimation using supervised machine learning. In proceedings of ISMRM Workshop on 40 Years of Diffusion: Past, Present & Future Perspectives, Kyoto (Japan), Feb 2025 (Poster).
Gwyther, E., Iqbal, S., Powell, J., Golten, J., Jucker, B., Jallais, M., Jones, D. K., Tax, C. and M. Palombo. Exchange time from time-dependent diffusion-weighted mri as a potential biomarker for treatment response in human brain metastasis. In proceedings of ISMRM Workshop on 40 Years of Diffusion: Past, Present & Future Perspectives, Kyoto (Japan), Feb 2025 (Poster).
Aird-Rossiter, C., Şimşek, K., Jallais, M. and Palombo, M. Mesoscopic digital phantoms of cortical microstructure for diffusion mri simulations. In proceedings of ISMRM Workshop on 40 Years of Diffusion: Past, Present & Future Perspectives, Kyoto (Japan), Feb 2025 (Poster).
2024
Jallais, M. and Palombo, M. Introducing µGUIDE for quantitative imaging via generalized uncertainty-driven inference using deep learning. eLife, 2024.
Jallais, M., Palombo, M., Jelescu, I., Uhl, Q. Shining Light on Degeneracies and Uncertainties in the NEXI and SANDIX Models with µGUIDE. In proceedings of ESMRMB 2024 - 40th Annual Scientific Meeting, Barcelona (Spain), October 2024 (Lightning Talk).
Kitchingman, L., Jallais, M., Şimşek, K., Kopanoglu, E., Turner, R., and Palombo, M. Investigating magnetic field correlation sensitivity to demyelination and axonal loss using numerical simulations. In proceedings of ESMRMB 2024 - 40th Annual Scientific Meeting, Barcelona (Spain), October 2024 (Poster).
Rouillard, L., Wassermann, D., Palombo, M. and Jallais, M. Hierarchical-µGUIDE: fast and robust Bayesian hierarchical modelling using deep learning simulation-based inference. In proceedings of ISMRM 2024 - 32nd Annual Meeting, Singapore, 2024 (Oral).
Jallais, M., Palombo, M., Jelescu, I., Uhl, Q. Shining Light on Degeneracies and Uncertainties in the NEXI and SANDIX Models with µGUIDE. In proceedings of ISMRM 2024 - 32nd Annual Meeting, Singapore, May 2024 (Poster).
2023
Jallais, M. and Palombo, M. µGUIDE: a framework for microstructure imaging via generalized uncertainty-driven inference using deep learning. In proceedings of ISMRM 2023 - 31th Annual Meeting, Toronto (Canada), June 2023 (Oral).
Jallais, M. and Palombo, M. µGUIDE: une architecture pour l’imagerie de la microstructure par inférence guidée par l’incertitude par apprentissage profond. SFRMBM, Paris (France), March 2023 (Poster).
2022
Meunier, T., Fang, C., Jallais*, M., and Wassermann*, D. Full posterior estimation of gray matter cytoarchitecture using a three-compartment model with exchange: a simulation-based study. In proceedings of ISMRM 2022 - 30th Annual Meeting, London (UK), May 2022 (poster).
Jallais, M. Enabling cortical cell-specific sensitivity on diffusion MRI microstructure measurements using likelihood-free inference. PhD thesis, Feb 2022.
2021
Jallais, M., Rodrigues, P.L.C., Gramfort, A., and Wassermann, D. Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements. The Journal of Machine Learning for Biomedical Imaging, 2021.
Jallais, M., Rodrigues, P.L.C., Gramfort, A., and Wassermann, D. Cytoarchitecture Measurements in Brain Gray Matter using Likelihood-Free Inference. In proceedings of IPMI 2021, Ronne (Denmark), June 2021 (Oral).
Jallais, M., Rodrigues, P.L.C., Gramfort, A., and Wassermann, D. Diffusion MRI-Based Cytoarchitecture Measurements in Brain Gray Matter using Likelihood-Free Inference. In proceedings of ISMRM 2021 - 29th Annual Meeting, Vancouver (Canada), May 2021 (Oral).
Jallais, M. and Wassermann, D. Single Encoding Diffusion MRI: a Probe to Brain Anisotropy. In \textit{Anisotropy Across Fields and Scales. Book chapter published in Springer International Publishing, January 2021.
2020
- Jallais, M. and Wassermann, D. Indetermination-free cytoarchitecture measurements in brain gray matter via a forward diffusion MRI signal separation method. In proceedings of ISMRM 2020 - 28th Annual Meeting, Sydney (Australia), April 2020 (Poster).
2017
Jallais, M., Greer, H., Gerber, S., McCormick, M., Chittajallu, D., Siekierski, N. and Aylward, S. Ultrasound Augmentation: Rapid 3-D Scanning for Tracking and On-Body Display. In proceedings of Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound: International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017. Quebec (Canada), Sept 2017.
Gerber, S., Jallais, M., Greer, H., McCormick, M., Montgomery, S., Freeman, B., Kane, D., Chittajallu, D., Siekierski, N. and Aylward, S. Automatic estimation of the optic nerve sheath diameter from ultrasound images. In proceedings of Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound: International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017. Quebec (Canada), Sept 2017.
