Jean-Philippe Thiran

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We introduce Phantomαs, an open-source software library to create realistic phantoms in structural and diffusion MRI. This is intended as a tool for researchers working in method development or translational research in the field of diffusion-weighted MRI. ...

In patients with multiple sclerosis (MS), conventional magnetic resonance imaging (MRI) provides only limited insights into the nature of brain damage with modest clinic-radiological correlation. In this study, we applied recent advances in MRI techniques ...

In this paper we address the problem of detection and tracking of pedestrians in complex scenarios. The inclusion of prior knowledge is more and more crucial in scene analysis to guarantee flexibility and robustness, necessary to have reliability in comple ...

This work presents the experimental verification of the power transmission of a radiating field into the human head for Microwave Imaging (MWI) applications. We aim at finding the range of frequencies that optimize the power scattered by any anomalies from ...

This dataset contains a collection of ultrafast ultrasound acquisitions from nine volunteers and the CIRS 054G phantom. For a comprehensive understanding of the dataset, please refer to the paper: Viñals, R.; Thiran, J.-P. A KL Divergence-Based Loss for In ...

We describe a method for the automatic quality assessment of multi-slice 2D MRIs with FLAIR, T2, or PD contrast. Quality measures are derived by analyzing the air background, which can be used to sensitively detect typical motion artifacts. Validated on 42 ...

State-of-the-art deep face recognition approaches report near perfect performance on popular benchmarks, e.g., Labeled Faces in the Wild. However, their performance deteriorates significantly when they are applied on low quality images, such as those acqui ...

Jean-Philippe Thiran

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Phantomas: a flexible software library to simulate diffusion MR phantoms

Non-parametric axon diameter distribution mapping with PGSE: reconstruction of uni- and multimodal distributions

The influence of frontal glutathione levels on white matter connectivity in healthy and early psychosis subjects: a preliminary study

Advanced MRI unravels the nature of tissue alterations in early multiple sclerosis

Behavioral priors for detection and tracking of pedestrians in video sequences

Multimodal microstructure imaging: combining relaxometry and diffusometry to estimate myelin, intracellular, extracellular, and cerebrospinal fluid properties

Multipose Audio-Visual Speech Recognition

Registration of Multiple Regions Derived from the Optical Flow Model and the Active Contour Framework

A Connectome-Based Comparison of Diffusion MRI Schemes

Experimental verification of optimal frequency range for microwave head imaging

Multi-atlas fusion methods for segmentation of head and neck lymph nodes for radiotherapy planning

Improving Graph-Based Tractography Plausibility Using Microstructure Information

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning: Dataset (2/6)

T-1 relaxometry abnormalities in white matter tracts predict functional systems scores in MS

Classification of Tensors and Fiber Tracts Using Mercer-Kernels Encoding Soft Probabilistic Spatial and Diffusion Information

Iterative full head finite element model for deep brain stimulation

Realistic 3D Fiber Crossing Phantom Models for Monte Carlo Diffusion Simulations

Multi-slice 2D MR imaging: automatic assessment of image quality

Perilesional tissue exhibits different T1 gradients depending on multiple sclerosis subtypes

Exploring Factors for Improving Low Resolution Face Recognition