C. Granziera

Discipline

Psychologie (12) Gestion et management (2) Méthodes et statistiques (1) Economies et finances (1)

Type de document

Articles (32) Colloques et conférences (10)

Co-auteur

Date

Source

Mot-clé

Patients (26) Patients (26) Multiple sclerosis (22) Imaging (22) tissu (corporel) (16) White (16) Matter (16) Brain (16) cerveau (16) puits (14) Magnetic resonance imaging (14) maladie (13) Human beings (13) maladie (13) abords (agglomération) (12) Magnetic resonance imaging (12) analyse (11) Methods (11) Methods (11) Analysis (11) diffusion (10) Performance (10) Magnetic resonance (10) Diffusion (10) Performance (10) diffusion (10) Magnetization (9) Evaluation (9) Transfer (9) information (8)

Documents écrit par C. Granziera (40) | parle de C. Granziera (0)

Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS.
A. Cagol et al. (9 janv. 2024)
Postmortem quantitative MRI disentangles histological lesion types in multiple sclerosis.
R. Galbusera et al.
Intrathecal Immunoglobulin M Synthesis is an Independent Biomarker for Higher Disease Activity and Severity in Multiple Sclerosis.
J. Oechtering et al.
Chronic White Matter Inflammation and Serum Neurofilament Levels in Multiple Sclerosis.
P. Maggi et al. (10 août 2021)
Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging.
R. Rahmanzadeh et al. (28 juil. 2021)
Model-informed machine learning for multi-component T2 relaxometry.
T. Yu et al.
GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology.
P.J. Lu et al. (2021)
GAMER-MRI in Multiple Sclerosis Identifies the Diffusion-Based Microstructural Measures That Are Most Sensitive to Focal Damage: A Deep-Learning-Based Analysis and Clinico-Biological Validation.
P.J. Lu et al. (2021)
CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis.
P. Maggi et al.
Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE.
F. La Rosa et al. (2020)
RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis.
G. Barquero et al. (2020)
Evolution of Cortical and White Matter Lesion Load in Early-Stage Multiple Sclerosis: Correlation With Neuroaxonal Damage and Clinical Changes.
R.A. Todea et al. (2020)
Longitudinal analysis of white matter and cortical lesions in multiple sclerosis.
M.J. Fartaria et al. (2019)
Personalized pathology maps to quantify diffuse and focal brain damage.
G. Bonnier et al. (2019)
Partial volume-aware assessment of multiple sclerosis lesions.
M.J. Fartaria et al. (2018)
Rivastigmine decreases brain damage in HIV patients with mild cognitive deficits.
G. Perrotta et al.
The Combined Quantification and Interpretation of Multiple Quantitative Magnetic Resonance Imaging Metrics Enlightens Longitudinal Changes Compatible with Brain Repair in Relapsing-Remitting Multiple Sclerosis Patients.
G. Bonnier et al. (2017)
Focal cerebellar pathology in early relapsing-remitting multiple sclerosis patients: a MP2RAGE study at 3T and 7T MRI
G. Bonnier et al.
Longitudinal automated detection of white-matter and cortical lesions in relapsing-remitting multiple sclerosis
M. J. Fartaria de Oliveira et al.
A New Approach for Deep Gray Matter Analysis Using Partial-Volume Estimation.
G. Bonnier et al. (2016)
An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease.
D. Schmitter et al.
Multicontrast MRI Quantification of Focal Inflammation and Degeneration in Multiple Sclerosis.
G. Bonnier et al. (2015)
A multi-contrast MRI study of microstructural brain damage in patients with mild cognitive impairment.
C. Granziera et al. (2015)
Advanced MRI unravels the nature of tissue alterations in early multiple sclerosis.
G. Bonnier et al.
MP2RAGE provides new clinically-compatible correlates of mild cognitive deficits in relapsing-remitting multiple sclerosis.
S. Simioni et al. (2014)

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