Chargement de la fiche…
Chargement de la fiche…
MonRhumato.fr utilise des cookies pour mesurer l'audience (statistiques) et améliorer le site. Aucune donnée de santé identifiable n'est jamais collectée. Politique de confidentialité.
Votre choix est conservé 13 mois (durée max CNIL). Vous pouvez le modifier à tout moment via Préférences cookies.
2 raisons identifiées
Disponibilité géographique
2 lieux d'exercice — choisissez celui qui vous arrange
Délais de RDV courts dans la région
78.3 rhumatos / 100 000 hab. — département bien doté
4 publications sur 5 ans
✨ Génération du profil synthétique IA en cours…
Indicateurs publics agrégés sur 250 M+ d'œuvres scientifiques (OpenAlex, PubMed). Traduits ici en langage patient.
Données ANS publiques (Licence Ouverte 2.0) · Enrichissements MonRhumato 100 % opt-in · Toute personne référencée peut demander la suppression ou la rectification.
Influence scientifique
2
2 articles ont été cités au moins 2fois par d'autres chercheurs — preuve que ses travaux sont repris par la communauté médicale.
h-index
Total citations reçues
19
Nombre de fois où d'autres équipes ont mentionné ses publications dans leurs propres travaux.
Publications totales
17
Articles, revues et chapitres référencés dans les bases académiques internationales.
Articles influents
1
Publications ayant marqué leur domaine — chacune citée au moins 10 fois par d'autres chercheurs.
i10-index
Thématiques principales
Affiliations FR : Centre hospitalier Robert-Ballanger
Source : OpenAlex (CC0, OurResearch). Indicateurs académiques agrégés sur 250 M+ d'œuvres.
Articles déposés en accès libre sur l'archive ouverte des universités françaises (HAL) — gage d'activité de recherche en France.
Intravenous thrombolysis use in the late time-window before interhospital transfer for thrombectomy: Association with efficacy and safety outcomes
2025ArticleJAMA neurology
BLens: Contrastive Captioning of Binary Functions using Ensemble Embedding
2025Congrès34th USENIX Conference on Security Symposium
Clinical heterogeneity in vitiligo: Identification of clinical markers based patient clusters
2025ArticleJournal of the European Academy of Dermatology and Venereology
Fibrinogen Depletion Coagulopathy And Hemorrhagic Transformation In Acute Ischemic Stroke Treated With Bridging Therapy
2025ArticleStroke
Cartographie des programmes et de leurs interrelations
2023Thèse
Scalable program clone search through spectral analysis
2023CongrèsESEC/FSE '23 - 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Binary level toolchain provenance identification with graph neural networks
2021CongrèsSANER 2021 - 28th IEEE International Conference on Software Analysis, Evolution and Reengineering
Compiler and optimization level recognition using graph neural networks
2021CongrèsMLPA 2020 - Machine Learning for Program Analysis
Source : HAL — archive ouverte CCSD/CNRS (couvre articles, chapitres EMC, communications congrès, thèses).
CABINET DU DR TRISTAN BENOIT
228 BOULEVARD ROBERT BALLANGER, 93420 VILLEPINTE
Secteur de conventionnement non disponible (médecin hospitalier ou non présent dans l'Annuaire santé CNAM des libéraux conventionnés).
Lien Doctolib = recherche Google site:doctolib.fr (le 1er résultat est presque toujours le profil correct s'il existe).
Frontiers in cardiovascular medicine · 2022
BackgroundThe management of the cardio-respiratory motion of the target and the reduction of the uncertainties related to patient's positioning are two of the main challenges that stereotactic arrhythmia radio-ablation (STAR) has to overcome. A prototype of a system was developed that can automatically acquire and interpret echocardiographic images using an artificial intelligence (AI) algorithm to calculate cardiac displacement in real-time.MethodsWe conducted a single center study enrolling consecutive patients with a history of ventricular arrhythmias (VA) in order to evaluate the feasibility of this automatic acquisition system. Echocardiographic images were automatically acquired from the parasternal and apical views with a dedicated probe. The system was designed to hold the probe fixed to the chest in the supine position during both free-breathing and short expiratory breath-hold sequences, to simulate STAR treatment. The primary endpoint was the percentage of patients reaching a score ≥2 in a multi-parametric assessment evaluating the quality of automatically acquired images. Moreover, we investigated the potential impact of clinical and demographic characteristics on achieving the primary endpoint.ResultsWe enrolled 24 patients (63 ± 14 years, 21% females). All of them had a history of VA and 21 (88%) had an ICD. Eight patients (33%) had coronary artery disease, 12 (50%) had non-ischemic cardiomyopathy, and 3 had idiopathic VA. Parasternal, as well as apical images were obtained from all patients except from one, in whom parasternal view could not be collected due to the patient's inability to maintain the supine position. The primary endpoint was achieved in 23 patients (96%) for the apical view, in 20 patients (87%) for the parasternal view, and in all patients in at least one of the two views. The images' quality was maximal (i.e., score = 4) in at least one of the two windows in 19 patients (79%). Atrial fibrillation arrhythmia was the only clinical characteristics associated with a poor score outcome in both imaging windows (apical p = 0.022, parasternal p = 0.014).ConclusionsThese results provide the proof-of-concept for the feasibility of an automatic ultrasonographic image acquisition system associated with an AI algorithm for real-time monitoring of cardiac motion in patients with a history of VA.
Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
Abstract Background Vitiligo (non‐segmental) is a chronic autoimmune skin disease leading to white patches. Although vitiligo has been delineated previously, the endophenotypes of the disease are still to be defined. Objectives The aim of this study was to investigate, without prior hypotheses, whether different clinical phenotypes of vitiligo could be identified and differ based on their demographic and clinical characteristics. Methods This retrospective, non‐interventional, single‐centre study included patients with vitiligo. Demographic and clinical characteristics of vitiligo were recorded. Hierarchical cluster analysis was then performed. Results A total of 399 patients were included. The cluster analysis classified the patients into five clusters as follows: (1) ‘highly active patients’ with elevated frequency of disease activity signs, receiving combinatorial topical and systemic therapy; (2) mild vitiligo patients with younger patients, low surface area involved and absence of signs of disease activity; (3) extensive vitiligo patients, with older patients and the largest surface area involved; (4) and (5) mild or moderate to severe disease, with localization of the lesions on site of chronic skin friction (type 2A koebner phenomenon). Conclusions Patients with vitiligo can be classified into five phenotypes, with two defining the highly active and extensive patients.
Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).
Journal of the European Academy of Dermatology and Venereology : JEADV · 2026 · Journal Article
Galissi L, Benoît T, Merhi R, Drullion C, et al.
Presse medicale (Paris, France : 1983) · 2015 · English Abstract
Valéra MC, Chantalat E, Vinel A, Benoit T, et al.
Frontiers in cardiovascular medicine · 2022 · Journal Article
Casula M, Dusi V, Camps S, Gringet J, et al.
BLens Artifact
This link contains the data and code for BLens, which is a learning-based function name caption tool and will appear in Usenix 2025. As stated in the “Open-Science” section of BLens submission, the artifact includes:
BLens Artifact
This link contains the data and code for BLens, which is a learning-based function name caption tool and will appear in Usenix 2025. As stated in the “Open-Science” section of BLens submission, the artifact includes:
Artifacts - Binary level toolchain provenance identification with graph neural networks
This record contains the code and dataset to reproduce experiments of the paper accepted at the 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). Abstract We consider the pro
Scalable Program Clone Search Through Spectral Analysis
We consider the problem of program clone search, i.e. given a target program and a repository of known programs (all in executable format), the goal is to find the program in the repository most similar to the target pro
Models for XFL: Naming Functions in Binaries with Extreme Multi-label Learning
The models and PSQL tables accompanying the paper XFL: Naming Functions in Binaries with Extreme Multi-label Learning by James Patrick-Evans, Moritz Dannehl and Johannes Kinder, which has been presented at the IEEE Sympo
Models for XFL: Naming Functions in Binaries with Extreme Multi-label Learning
The models and PSQL tables accompanying the paper XFL: Naming Functions in Binaries with Extreme Multi-label Learning by James Patrick-Evans, Moritz Dannehl and Johannes Kinder, which has been presented at the IEEE Sympo
Source : DataCite — DOIs pour datasets, logiciels, protocoles, registres patient. Hors articles (déjà couverts).