J.P. Thiran

Discipline

Psychologie (12) Sciences de l'information et de la communication (8) Géographie (7) Economies et finances (5) Gestion et management (3) Sociologie (1) Linguistique (1) Anthropologie biologique (1)

Type de document

Articles (56) Colloques et conférences (27) Recensions (2)

Co-auteur

Date

Source

Mot-clé

Brain (38) cerveau (38) diffusion (30) Diffusion (30) Imaging (30) diffusion (30) Human beings (28) Methods (22) Methods (22) Work (21) Magnetic resonance imaging (20) White (19) Example (19) Patients (18) Matter (18) Analysis (18) Patients (18) Magnetic resonance imaging (18) analyse (17) méthode (17) puits (16) Regions (15) Performance (14) Evaluation (14) Models (14) Performance (14) tissu (corporel) (13) modèle (13) abords (agglomération) (13) Magnetic resonance (13)

Documents écrit par J.P. Thiran (82) | parle de J.P. Thiran (0)

Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge.
G. Girard et al. (15 août 2023)
Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model.
A. Khan et al.
Evaluating reproducibility and subject-specificity of microstructure-informed connectivity.
P.J. Koch et al.
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI.
C. Maffei et al. (15 août 2022)
Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection.
C. Abbet et al.
X-ray imaging detector for radiological applications adapted to the context and requirements of low- and middle-income countries.
M.A. Chavarria et al. (1 mars 2022)
Axonal T2 estimation using the spherical variance of the strongly diffusion-weighted MRI signal.
M. Pizzolato et al.
Hierarchical graph representations in digital pathology.
P. Pati et al.
Model-informed machine learning for multi-component T2 relaxometry.
T. Yu et al.
Comparison of diffusion MRI and CLARITY fiber orientation estimates in both gray and white matter regions of human and primate brain.
C. Leuze et al.
Fetal Brain Biometric Measurements on 3D Super-Resolution Reconstructed T2-Weighted MRI: An Intra- and Inter-observer Agreement Study.
M. Khawam et al. (2021)
The Brain Connectome after Gamma Knife Radiosurgery of the Ventro-Intermediate Nucleus for Tremor: Marseille-Lausanne Radiobiology Study Protocol.
C. Tuleasca et al. (2021)
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)
Comparison of MRI-based automated segmentation methods and functional neurosurgery targeting with direct visualization of the Ventro-intermediate thalamic nucleus at 7T.
E. Najdenovska et al. (4 févr. 2019)
Topological principles and developmental algorithms might refine diffusion tractography.
G.M. Innocenti et al.
In-vivo probabilistic atlas of human thalamic nuclei based on diffusion- weighted magnetic resonance imaging.
E. Najdenovska et al. (27 nov. 2018)
Limitations and challenges of EIT-based monitoring of stroke volume and pulmonary artery pressure.
F. Braun et al. (30 janv. 2018)
Accuracy and reliability of noninvasive stroke volume monitoring via ECG-gated 3D electrical impedance tomography in healthy volunteers.
F. Braun et al. (2018)
The challenge of mapping the human connectome based on diffusion tractography.
K.H. Maier-Hein et al. (7 nov. 2017)
Robust thalamic nuclei segmentation method based on local diffusion magnetic resonance properties.
G. Battistella 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)
Multi-channel MRI segmentation of eye structures and tumors using patient-specific features.
C. Ciller et al. (2017)
Impaired fornix-hippocampus integrity is linked to peripheral glutathione peroxidase in early psychosis.
P.S. Baumann et al. (26 juil. 2016)
Longitudinal automated detection of white-matter and cortical lesions in relapsing-remitting multiple sclerosis
M. J. Fartaria de Oliveira et al.
Brain network characterization of high-risk preterm-born school-age children.
E. Fischi-Gomez et al. (2016)

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