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3 raisons identifiées
Auteur de référence en rhumatologie
21 articles scientifiques publiés — un praticien à la pointe de la recherche
Encadrant universitaire
Forme la prochaine génération de rhumatologues (6 thèses dirigées)
Délais de RDV courts dans la région
134 rhumatos / 100 000 hab. — département bien doté
✨ Génération du profil synthétique IA en cours…
Données ANS publiques (Licence Ouverte 2.0) · Enrichissements MonRhumato 100 % opt-in · Toute personne référencée peut demander la suppression ou la rectification.
L'analyse de texture : un nouveau biomarqueur en oncologie?
2021Doctorant·e : Caroline Caramella
Optimisation des séquences IRM et positionnement en carcinologie cervico-faciale de la TEP-IRM
2020Doctorant·e : François Bidault
Echographie de contraste 3D pour l’évaluation de la microvascularisation tumorale
2019Doctorant·e : Virginie Grand-Perret
Développement de techniques d’imageries pour le diagnostic et le pronostic des tumeurs du rein
2018Doctorant·e : Alexandre Ingels
Imagerie multiparamétrique en échographie de contraste ultrasonore (DCE-US) pour caractériser la vascularisation tumorale : de la modélisation numérique à l'expérimentation préclinique
2016Doctorant·e : Laure Boyer
La microphysiologie cancéreuse et sa modulation temporo-spatiale par les rayonnements ionisants associés à une thérapie ciblée
2007Doctorant·e : Alexandre Kaliski
Source theses.fr — signal de direction d'équipe / statut PU-PH (à confirmer via le site universitaire).
Indicateurs publics agrégés sur 250 M+ d'œuvres scientifiques (OpenAlex, PubMed). Traduits ici en langage patient.
Influence scientifique
60
60 articles ont été cités au moins 60fois par d'autres chercheurs — preuve que ses travaux sont repris par la communauté médicale.
h-index
Total citations reçues
16 853
Nombre de fois où d'autres équipes ont mentionné ses publications dans leurs propres travaux.
Publications totales
425
Articles, revues et chapitres référencés dans les bases académiques internationales.
Articles influents
151
Publications ayant marqué leur domaine — chacune citée au moins 10 fois par d'autres chercheurs.
i10-index
Thématiques principales
Affiliations FR : Centre National de la Recherche Scientifique · Centre National de la Recherche Scientifique · Inserm
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.
Beyond handcrafted radiomics in oncologic imaging: Innovations in deep, explainable, multi-site and multi-omics radiomics approaches
2026ArticleDiagnostic and Interventional Imaging
Using Machine Learning on MRI Radiomics to Diagnose Parotid Tumours Before Comparing Performance with Radiologists: A Pilot Study
2025ArticleJournal of Imaging Informatics in Medicine
Predictive factors of FOLFIRINOX chemotherapy toxicity in pancreatic adenocarcinoma patients
2025ArticleFuture Oncology
ComBat-MLE: A novel perspective on developing and solving ComBat harmonization method
2024CongrèsIEEE Medai 2024 - The second IEEE international conference on medical artificial intelligence
Liquid Biopsy versus CT: Comparison of Tumor Burden Quantification in 1065 Patients with Metastases
2024ArticleRadiology
Imaging-guided prognostic score-based approach to assess the benefits of combotherapy versus monotherapy with immune checkpoint inhibitors in metastatic MSI-H colorectal cancer patients
2024ArticleEuropean Journal of Cancer
Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution
2024ArticleDiagnostic and Interventional Imaging
Detection and characterization of pancreatic lesion with artificial intelligence: The SFR 2023 artificial intelligence data challenge
2024ArticleDiagnostic and Interventional Imaging
Source : HAL — archive ouverte CCSD/CNRS (couvre articles, chapitres EMC, communications congrès, thèses).
INSTITUT GUSTAVE ROUSSY
39 B R CAMILLE DESMOULINS, 94805 VILLEJUIF CEDEX
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).
European radiology · 2021
Abstract Existing quantitative imaging biomarkers (QIBs) are associated with known biological tissue characteristics and follow a well-understood path of technical, biological and clinical validation before incorporation into clinical trials. In radiomics, novel data-driven processes extract numerous visually imperceptible statistical features from the imaging data with no a priori assumptions on their correlation with biological processes. The selection of relevant features (radiomic signature) and incorporation into clinical trials therefore requires additional considerations to ensure meaningful imaging endpoints. Also, the number of radiomic features tested means that power calculations would result in sample sizes impossible to achieve within clinical trials. This article examines how the process of standardising and validating data-driven imaging biomarkers differs from those based on biological associations. Radiomic signatures are best developed initially on datasets that represent diversity of acquisition protocols as well as diversity of disease and of normal findings, rather than within clinical trials with standardised and optimised protocols as this would risk the selection of radiomic features being linked to the imaging process rather than the pathology. Normalisation through discretisation and feature harmonisation are essential pre-processing steps. Biological correlation may be performed after the technical and clinical validity of a radiomic signature is established, but is not mandatory. Feature selection may be part of discovery within a radiomics-specific trial or represent exploratory endpoints within an established trial; a previously validated radiomic signature may even be used as a primary/secondary endpoint, particularly if associations are demonstrated with specific biological processes and pathways being targeted within clinical trials. Key Points • Data-driven processes like radiomics risk false discoveries due to high-dimensionality of the dataset compared to sample size, making adequate diversity of the data, cross-validation and external validation essential to mitigate the risks of spurious associations and overfitting. • Use of radiomic signatures within clinical trials requires multistep standardisation of image acquisition, image analysis and data mining processes. • Biological correlation may be established after clinical validation but is not mandatory.
Ultraschall in der Medizin (Stuttgart, Germany : 1980) · 2024
AbstractDynamic contrast-enhanced ultrasound (DCE-US) is a technique to quantify tissue perfusion based on phase-specific enhancement after the injection of microbubble contrast agents for diagnostic ultrasound. The guidelines of the European Federation of Societies for Ultrasound in Medicine and Biology (EFSUMB) published in 2004 and updated in 2008, 2011, and 2020 focused on the use of contrast-enhanced ultrasound (CEUS), including essential technical requirements, training, investigational procedures and steps, guidance regarding image interpretation, established and recommended clinical indications, and safety considerations. However, the quantification of phase-specific enhancement patterns acquired with ultrasound contrast agents (UCAs) is not discussed here. The purpose of this EFSUMB Technical Review is to further establish a basis for the standardization of DCE-US focusing on treatment monitoring in oncology. It provides some recommendations and descriptions as to how to quantify dynamic ultrasound contrast enhancement, and technical explanations for the analysis of time-intensity curves (TICs). This update of the 2012 EFSUMB introduction to DCE-US includes clinical aspects for data collection, analysis, and interpretation that have emerged from recent studies. The current study not only aims to support future work in this research field but also to facilitate a transition to clinical routine use of DCE-US.
The Lancet. Respiratory medicine · 2022
Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).
International journal of molecular sciences · 2023 · Journal Article
Courcier J, Leguerney I, Benatsou B, Pochon S, et al.
Medical physics · 2023 · Journal Article
Hoferer I, Jourdain L, Girot C, Benatsou B, et al.
Diagnostics (Basel, Switzerland) · 2022 · Case Reports
Evin C, Lassau N, Balleyguier C, Assi T, et al.
Magma (New York, N.Y.) · 2021 · Journal Article
Girot C, Volk A, Walczak C, Lassau N, et al.
Diagnostics (Basel, Switzerland) · 2021 · Journal Article
Ammari S, Sallé de Chou R, Balleyguier C, Chouzenoux E, et al.
Diagnostic and interventional imaging · 2021 · Journal Article
Evain E, Raynaud C, Ciofolo-Veit C, Popoff A, et al.
Life (Basel, Switzerland) · 2025 · Journal Article
Hajri R, Aboudaram C, Lassau N, Assi T, et al.
Journal of imaging informatics in medicine · 2025 · Journal Article
Ammari S, Quillent A, Elvira V, Bidault F, et al.
European journal of cancer (Oxford, England : 1990) · 2022 · Journal Article
Dinia A, Ammari S, Filtes J, Classe M, et al.
Diagnostic and interventional imaging · 2026 · Journal Article
Crombé A, Bourillon C, Chaillou S, Bechet C, et al.
Cancers · 2026 · Journal Article
Phan L, Cousin S, Sitruk LA, Masson-Grehaigne C, et al.
Ultraschall in der Medizin (Stuttgart, Germany : 1980) · 2024 · Journal Article
Dietrich CF, Correas JM, Cui XW, Dong Y, et al.
Diagnostic and interventional imaging · 2025 · Journal Article
Jardali G, Lawrance L, Dawi L, Dupont J, et al.
Radiology · 2024 · Journal Article
Dawi L, Belkouchi Y, Lawrance L, Gautier O, et al.
Journal of magnetic resonance imaging : JMRI · 2023 · Journal Article
Dong W, Volk A, Djaroum M, Girot C, et al.
Investigative radiology · 2022 · Journal Article
Bône A, Ammari S, Menu Y, Balleyguier C, et al.
European radiology · 2021 · Published Erratum
Fournier L, Costaridou L, Bidaut L, Michoux N, et al.
European radiology · 2021 · Journal Article
Fournier L, Costaridou L, Bidaut L, Michoux N, et al.
Cancers · 2022 · Journal Article
Naccache R, Belkouchi Y, Lawrance L, Benatsou B, et al.
The Lancet. Respiratory medicine · 2022 · Journal Article
Wick KD, Aggarwal NR, Curley MAQ, Fowler AA 3rd, et al.
Data from: Virtual patients and sensitivity analysis of the Guyton model of blood pressure regulation: towards individualized models of whole-body physiology
Mathematical models that integrate multi-scale physiological data can offer insight into physiological and pathophysiological function, and may eventually assist in individualized predictive medicine. We present a met
A French national breast and thyroid cancer screening programme for survivors of childhood, adolescent and young adult (CAYA) cancers - DeNaCaPST programme
Abstract Background Survival of childhood, adolescent and young adult (CAYA) cancers has increased with progress in the management of the treatments and has reached more than 80% at 5 years. Nevertheless, these survivors
A French national breast and thyroid cancer screening programme for survivors of childhood, adolescent and young adult (CAYA) cancers - DeNaCaPST programme
Abstract Background Survival of childhood, adolescent and young adult (CAYA) cancers has increased with progress in the management of the treatments and has reached more than 80% at 5 years. Nevertheless, these survivors
Source : DataCite — DOIs pour datasets, logiciels, protocoles, registres patient. Hors articles (déjà couverts).
Investigative radiology · 2022 · Journal Article
Bône A, Ammari S, Menu Y, Balleyguier C, et al.
Diagnostic and interventional imaging · 2021 · Journal Article
Lassau N, Bousaid I, Chouzenoux E, Verdon A, et al.