Publications
2024
Jallais, M. and Palombo, M. Introducing µGUIDE for quantitative imaging via generalized uncertainty-driven inference using deep learning. eLife, 2024.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
