J.P. Thiran

Discipline

Psychologie (13) Sciences de l'information et de la communication (12) Géographie (7) Economies et finances (5) Gestion et management (2) Sociologie (1) Linguistique (1) Anthropologie biologique (1)

Type de document

Articles (86) Colloques et conférences (26) Recensions (5)

Co-auteur

Date

Source

Mot-clé

Brain (50) cerveau (50) Imaging (46) diffusion (45) Diffusion (45) diffusion (45) Human beings (41) Methods (39) Methods (39) méthode (31) White (31) Matter (30) Magnetic resonance imaging (27) Example (26) Analysis (26) analyse (25) Performance (25) Patients (25) Patients (25) Magnetic resonance imaging (25) Performance (25) tissu (corporel) (24) Work (24) abords (agglomération) (21) Magnetic resonance (21) Evaluation (21) modèle (20) Models (20) puits (19) Regions (19)

Documents écrit par J.P. Thiran (112) | parle de J.P. Thiran (0)

Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI.
M. Pizzolato et al.
White adipose tissue distribution and amount are associated with increased white matter connectivity.
L. Okudzhava et al.
Windowed Radon Transform for Robust Speed-of-Sound Imaging With Pulse-Echo Ultrasound.
S. Beuret et al.
The influence of cardiac arrhythmias on the detection of heartbeats in the photoplethysmogram: benchmarking open-source algorithms.
L. Jeanningros et al. (14 févr. 2024)
Tract-wise microstructural analysis informs on current and future disability in early multiple sclerosis.
V. Ravano et al.
Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime.
T. Stegmüller et al.
Accuracy and Reliability of Pelvimetry Measures Obtained by Manual or Automatic Labeling of Three-Dimensional Pelvic Models.
J. Hêches et al. (25 janv. 2024)
Windowed Radon Transform and Tensor Rank-1 Decomposition for Adaptive Beamforming in Ultrafast Ultrasound.
S. Beuret et al.
A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning.
R. Viñals et al. (23 nov. 2023)
Cellular Exchange Imaging (CEXI): Evaluation of a diffusion model including water exchange in cells using numerical phantoms of permeable spheres.
R. Gardier et al.
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge.
G. Girard et al. (15 août 2023)
CACTUS: a computational framework for generating realistic white matter microstructure substrates.
R. Gardier et al.
Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model.
A. Khan et al.
Examining the synergistic effects of a cognitive control video game and a home-based, self-administered non-invasive brain stimulation on alleviating depression: the DiSCoVeR trial protocol.
E. Dechantsreiter et al.
Estimating axon radius using diffusion-relaxation MRI: calibrating a surface-based relaxation model with histology.
M. Barakovic et al. (2023)
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)
Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI.
F. La Rosa et al.
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.
Variability and reproducibility of multi-echo T2 relaxometry: Insights from multi-site, multi-session and multi-subject MRI acquisitions
G. Girard et al. (2022)
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues.
F. La Rosa et al. (2022)
Toward individualized medicine in stroke-The TiMeS project: Protocol of longitudinal, multi-modal, multi-domain study in stroke.
L. Fleury et al. (2022)
Impact of scanner variability on lymph node segmentation in computational pathology.
A. Khan et al. (2022)

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