Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jallais, Maëliss"'
Autor:
Jallais, Maëliss, Palombo, Marco
This work proposes $\mu$GUIDE: a general Bayesian framework to estimate posterior distributions of tissue microstructure parameters from any given biophysical model or MRI signal representation, with exemplar demonstration in diffusion-weighted MRI.
Externí odkaz:
http://arxiv.org/abs/2312.17293
Publikováno v:
Journal of Machine Learning for Biomedical Imaging, Melba editors, 2022, pp.1-27
Effective characterisation of the brain grey matter cytoarchitecture with quantitative sensitivity to soma density and volume remains an unsolved challenge in diffusion MRI (dMRI). Solving the problem of relating the dMRI signal with cytoarchitectura
Externí odkaz:
http://arxiv.org/abs/2111.08693
Autor:
Jallais, Maëliss
Publikováno v:
Medical Imaging. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG012⟩
Neurodegenerative diseases, such as Alzheimer's or Huntington's disease, lead to the progressive and irreversible loss of mental functions. Dementia and cognitive deficits appear to be primarily related to neuronal and synaptic connectivity loss. Alt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dd63de81b5a14b6ea9602bcef802e45d
https://theses.hal.science/tel-03641386/file/111145_JALLAIS_2022_archivage.pdf
https://theses.hal.science/tel-03641386/file/111145_JALLAIS_2022_archivage.pdf
Autor:
Jallais, Maëliss, Wassermann, Demian
Publikováno v:
ISMRM 2020-International Society for Magnetic Resonance in Medicine
ISMRM 2020-International Society for Magnetic Resonance in Medicine, Aug 2020, Sydney / virtual, Australia
ISMRM 2020-International Society for Magnetic Resonance in Medicine, Aug 2020, Sydney / virtual, Australia
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f58f6564a0e38f607b585234fd99cf11
https://hal.inria.fr/hal-02929598/document
https://hal.inria.fr/hal-02929598/document