T. Kober

Discipline

Psychologie (4) Sciences de l'information et de la communication (4) Géographie (3) Economies et finances (2) Anthropologie biologique (2) Méthodes et statistiques (1) Gestion et management (1) Education (1) Anthropologie sociale et ethnologie (1)

Type de document

Articles (35) Colloques et conférences (17) Recensions (2)

Co-auteur

Date

Source

Mot-clé

Imaging (20) Brain (19) cerveau (19) Patients (13) Patients (13) tissu (corporel) (12) Magnetic resonance imaging (12) temps (durée) (11) White (11) Time (11) Multiple sclerosis (11) Human beings (11) analyse (10) abords (agglomération) (10) Acquisition (10) Matter (10) Magnetic resonance (10) Analysis (10) Evaluation (9) Methods (8) Performance (8) Methods (8) Magnetic resonance imaging (8) Performance (8) test (7) investigation (7) méthode (7) Maps (7) Maps (7) Maps (7)

Documents écrit par T. Kober (42) | parle de T. Kober (0)

SPARCQ: A new approach for fat fraction mapping using asymmetries in the phase-cycled balanced SSFP signal profile.
GMC Rossi et al.
Evaluating reproducibility and subject-specificity of microstructure-informed connectivity.
P.J. Koch et al.
A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN).
H. Lajous et al. (23 mai 2022)
To buy or not to buy-evaluating commercial AI solutions in radiology (the ECLAIR guidelines).
P. Omoumi et al.
Model-informed machine learning for multi-component T2 relaxometry.
T. Yu et al.
Validating atlas-based lesion disconnectomics in multiple sclerosis: A retrospective multi-centric study.
V. Ravano et al. (2021)
Automated MRI-based volumetry of basal ganglia and thalamus at the chronic phase of cortical stroke.
C. Baudat et al.
CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis.
P. Maggi et al.
RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis.
G. Barquero et al. (2020)
Patient respiratory-triggered quantitative T2 mapping in the pancreas.
N. Vietti Violi et al.
Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends.
A. Hirschmann et al.
Episodic memory decline in Parkinson' s disease: relation with white matter hyperintense lesions and influence of quantification method.
V. Dunet et al.
Longitudinal analysis of white matter and cortical lesions in multiple sclerosis.
M.J. Fartaria et al. (2019)
Brain tissue segmentation based on MP2RAGE multi-contrast images in 7 T MRI.
U.S. Choi et al. (2019)
Personalized pathology maps to quantify diffuse and focal brain damage.
G. Bonnier et al. (2019)
Gray-matter-specific MR imaging improves the detection of epileptogenic zones in focal cortical dysplasia: A new sequence called fluid and white matter suppression (FLAWS).
X. Chen et al. (2018)
Partial volume-aware assessment of multiple sclerosis lesions.
M.J. Fartaria et al. (2018)
Simultaneous Quantitative MRI Mapping of T1, T2* and Magnetic Susceptibility with Multi-Echo MP2RAGE.
R. Metere et al. (2017)
Impact of image acquisition systems on Alzheimer's disease-related atrophy detection.
P. Falkovskiy et al.
Buy One, Get Two for Free: Simultaneous Knee T2 Mapping and Morphological Analysis On Synthetic Images Using GRAPPATINI
A. Omoumi et al.
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.
Phase-Encode Ghosting Detection using Multi-Channel Coil Arrays
T. Hilbert et al.
Quantitative comparison of MP2RAGE skull-stripping strategies
P. Falkovskiy et al.
Basic MR sequence parameters systematically bias automated brain volume estimation
S. Haller et al.

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