Explanipedia

Estimation of reference curves for brain atrophy and analysis of robustness to machine effects Open

Elodie Piot, Félix Renard, Arnaud Attyé, Alexandre Krainik, Michael W. Weiner , et al. · 2025

Neurodegenerative diseases like Alzheimer’s are difficult to diagnose due to brain complexity and imaging variability. However, volumetric analysis tools, using reference curves, help detect abnormal brain atrophy and support diagnosis and…

Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis Open

Pierre‐Etienne Heudel, Mashal Claude Ahmed, Félix Renard, Arnaud Attyé · 2025

Background Defining optimal adjuvant therapeutic strategies for older adult patients with breast cancer remains a challenge, given that this population is often overlooked and underserved in clinical research and decision-making tools. Obj…

Leveraging Digital Twins for Patient Stratification and Treatment Optimization in geriatric oncology A Breast Cancer Multivariate Clustering Analysis (Preprint) Open

Pierre‐Etienne Heudel, Mashal Claude Ahmed, Félix Renard, Arnaud Attyé · 2024

UNSTRUCTURED Purpose: Define optimal adjuvant therapeutic strategies for elderly breast cancer patients remains a challenge, given that this population is often overlooked and underserved in clinical research and decision-making tools. Pa…

Data-driven normative values based on generative manifold learning for quantitative MRI Open

Arnaud Attyé, Félix Renard, Vanina Anglade, Alexandre Krainik, Philippe Kahane , et al. · 2024

Individualised profiling of white matter organisation in moderate-to-severe traumatic brain injury patients Open

Adam Clemente, Arnaud Attyé, Félix Renard, Fernando Calamante, Alex Burmester , et al. · 2023

Individualised profiles may assist clinicians in tracking recovery and planning personalised training programs for chronic m-sTBI patients, which is necessary to achieve optimal behavioural outcomes and improved quality of life.

Individualised Profiling of White Matter Organisation in Moderate-to-Severe Traumatic Brain Injury Patients Using TractLearn: A Proof-of-Concept Study Open

Adam Clemente, Arnaud Attyé, Félix Renard, Fernando Calamante, Alex Burmester , et al. · 2022

Approximately 65% of moderate-to-severe traumatic brain injury (m-sTBI) patients present with poor long-term behavioural outcomes, which can significantly impair activities of daily living. Numerous diffusion-weighted MRI studies have link…

Leveraging manifold learning techniques to explore white matter anomalies: An application of the TractLearn pipeline in epilepsy Open

Élise Roger, Arnaud Attyé, Félix Renard, Monica Baciu · 2022

TractLearn: A geodesic learning framework for quantitative analysis of brain bundles Open

Arnaud Attyé, Félix Renard, Monica Baciu, Élise Roger, Laurent Lamalle , et al. · 2021

Deep learning-based convolutional neural networks have recently proved their efficiency in providing fast segmentation of major brain fascicles structures, based on diffusion-weighted imaging. The quantitative analysis of brain fascicles t…

A covariate-constraint method to map brain feature space into lower dimensional manifolds Open

Félix Renard, Christian Heinrich, Marine Bouthillon, Maleka Schenck, Francis Schneider , et al. · 2020

Human brain connectome studies aim to both explore healthy brains, and extract and analyze relevant features associated with pathologies of interest. Usually this consists of modeling the brain connectome as a graph and using graph metrics…

TractLearn: a geodesic learning framework for quantitative analysis of brain bundles Open

Arnaud Attyé, Félix Renard, Monica Baciu, Élise Roger, Laurent Lamalle , et al. · 2020

Deep learning-based convolutional neural networks have recently proved their efficiency in providing fast segmentation of major brain fascicles structures, based on diffusion-weighted imaging. The quantitative analysis of brain fascicles t…

Manifold learning for brain connectivity Open

Félix Renard, Christian Heinrich, Marine Bouthillon, Maleka Schenck, Francis Schneider , et al. · 2020

Human brain connectome studies aim at extracting and analyzing relevant features associated to pathologies of interest. Usually this consists in modeling the brain connectome as a graph and in using graph metrics as features. A fine brain …

First-in-human use of a marine oxygen carrier (M101) for organ preservation: A safety and proof-of-principle study Open

Yannick Le Meur, Lionel Badet, Marie Essig, Antoine Thierry, Matthias Büchler , et al. · 2020

The medical device M101 is an extracellular hemoglobin featuring high oxygen-carrying capabilities. Preclinical studies demonstrated its safety as an additive to organ preservation solutions and its beneficial effect on ischemia/reperfusio…

Cover Image Open

Élise Roger, Cédric Pichat, Laurent Torlay, Olivier David, Félix Renard , et al. · 2020

COVER ILLUSTRATION Representation of a resting-state fMRI map projected on a 3D brain render and on which is affixed/anchored a correlation matrix derived from resting-state fMRI data, serving as the basis for assessing functional connecti…

Author Correction: Association between social asymmetry and depression in older adults: A phone Call Detail Records analysis Open

Timothée Aubourg, Jacques Demongeot, Félix Renard, Hervé Provost, Nicolas Vuillerme · 2020

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Auto-CNNp: a component-based framework for automating CNN parallelism Open

Soulaimane Guedria, Noël De Palma, Félix Renard, Nicolas Vuillerme · 2019

International audience

Hubs disruption in mesial temporal lobe epilepsy. A resting‐state fMRI study on a language‐and‐memory network Open

Élise Roger, Cédric Pichat, Laurent Torlay, Olivier David, Félix Renard , et al. · 2019

Mesial temporal lobe epilepsy (mTLE) affects the brain networks at several levels and patients suffering from mTLE experience cognitive impairment for language and memory. Considering the importance of language and memory reorganization in…

Association between social asymmetry and depression in older adults: A phone Call Detail Records analysis Open

Timothée Aubourg, Jacques Demongeot, Félix Renard, Hervé Provost, Nicolas Vuillerme · 2019

Analyzing social interactions on a passive and non-invasive way through the use of phone call detail records (CDRs) is now recognized as a promising approach in health monitoring. However, deeper investigations are required to confirm its …

Diffusion tensor imaging reveals diffuse white matter injuries in locked-in syndrome patients Open

Mylene Leonard, Félix Renard, Laura Harsan, Julien Pottecher, Marc Braun , et al. · 2019

Locked-in syndrome (LIS) is a state of quadriplegia and anarthria with preserved consciousness, which is generally triggered by a disruption of specific white matter fiber tracts, following a lesion in the ventral part of the pons. However…

How to Measure Circadian Rhythms of Activity and Their Disruptions in Humans Using Passive and Unobtrusive Capture of Phone Call Activity Open

Timothée Aubourg, Jacques Demongeot, Félix Renard, Hervé Provost, Nicolas Vuillerme · 2019

Monitoring circadian rhythms of social activity is crucial for preserving the health and wellness of ill elderly people. In this paper, we assess the ability of phones to be used as a temporal and social daily activity sensor from a passiv…

Multimodal assessment of language and memory reorganization A proof of concept in two patients with drug-resistant temporal lobe epilepsy. Open

Élise Roger, Cédric Pichat, Félix Renard, Émilie Cousin, Marcela Perrone‐Bertolotti , et al. · 2018

Temporal lobe epilepsy (TLE) accounts for 70-80% of epilepsy in adults (1). The dysfunction (epileptic zone, EZ) is located in the temporal lobe and induces language and memory reorganization of cerebral networks and various degrees of cog…

Reliability of White Matter Microstructural Changes in HIV Infection: Meta-Analysis and Confirmation Open

Erin E. O’Connor, Assia Jaillard, Félix Renard, Thomas A. Zeffiro · 2017

HIV effects on WM microstructure had substantial variations that could result from acquisition, processing, or cohort-selection differences. When acquisition parameters and processing were carefully controlled, the resulting DTI measures d…

Parietal operculum and motor cortex activities predict motor recovery in moderate to severe stroke Open

Firdaus Fabrice Hannanu, Thomas A. Zeffiro, Laurent Lamalle, Olivier Heck, Félix Renard , et al. · 2017

Resting-state networks distinguish locked-in from vegetative state patients Open

Daniel Roquet, Jack Foucher, P. Froehlig, Félix Renard, Julien Pottecher , et al. · 2016

Use of Advanced Magnetic Resonance Imaging Techniques in Neuromyelitis Optica Spectrum Disorder Open

Stéphane Kremer, Félix Renard, Sophie Achard, Marco Aurélio Lana–Peixoto, Jacqueline Palace , et al. · 2015

Brain parenchymal lesions are frequently observed on conventional magnetic resonance imaging (MRI) scans of patients with neuromyelitis optica (NMO) spectrum disorder, but the specific morphological and temporal patterns distinguishing the…

Track-density imaging: a new quantitative tool to identify cervical schwannoma's nerve of origin? Open

Arnaud Attyé, Adrian Kastler, Laurent Lamalle, Olivier Stephanov, Félix Renard , et al. · 2015

Poster: ECR 2015 / C-1813 / Track-density imaging: a new quantitative tool to identify cervical schwannoma's nerve of origin? by: A. Attye , A. Kastler, L. Lamalle, O. Stephanov, F. Renard, A. Vigneron, B. Nicot, S. Grand, A. K…

A Fourth Order Tensor Statistical Model for Diffusion Weighted MRI - Application to Population Comparison Open

Theodosios Gkamas, Félix Renard, Christian Heinrich, Stéphane Kremer · 2015

In this communication, we propose an original statistical model for diffusion-weighted magnetic resonance imaging, in order to determine new biomarkers. Second order tensor (T2) modeling of Orientation Distribution Functions (ODFs) i…

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