Search Results - "Duron, Loïc"

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    Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT by Lecler, Augustin, Duron, Loïc, Soyer, Philippe

    Published in Diagnostic and interventional imaging (01-06-2023)
    “…•The use of generative pre-trained transformer (GPT)-based models has the potential to revolutionize radiology at large, offering new possibilities for…”
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    Journal Article
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    How can we combat multicenter variability in MR radiomics? Validation of a correction procedure by Orlhac, Fanny, Lecler, Augustin, Savatovski, Julien, Goya-Outi, Jessica, Nioche, Christophe, Charbonneau, Frédérique, Ayache, Nicholas, Frouin, Frédérique, Duron, Loïc, Buvat, Irène

    Published in European radiology (01-04-2021)
    “…Objective Test a practical realignment approach to compensate the technical variability of MR radiomic features. Methods T1 phantom images acquired on 2…”
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    Journal Article
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    Gray-level discretization impacts reproducible MRI radiomics texture features by Duron, Loïc, Balvay, Daniel, Vande Perre, Saskia, Bouchouicha, Afef, Savatovsky, Julien, Sadik, Jean-Claude, Thomassin-Naggara, Isabelle, Fournier, Laure, Lecler, Augustin

    Published in PloS one (07-03-2019)
    “…To assess the influence of gray-level discretization on inter- and intra-observer reproducibility of texture radiomics features on clinical MR images. We…”
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    Journal Article
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    Can we use radiomics in ultrasound imaging? Impact of preprocessing on feature repeatability by Duron, Loïc, Savatovsky, Julien, Fournier, Laure, Lecler, Augustin

    Published in Diagnostic and interventional imaging (01-11-2021)
    “…•Radiomic features extracted from ultrasound images are impacted by slice variability and preprocessing.•Radiomics is possible in ultrasound imaging but…”
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    Journal Article
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    Radiomic analysis of HTR-DCE MR sequences improves diagnostic performance compared to BI-RADS analysis of breast MR lesions by Perre, Saskia Vande, Duron, Loïc, Milon, Audrey, Bekhouche, Asma, Balvay, Daniel, Cornelis, Francois H., Fournier, Laure, Thomassin-Naggara, Isabelle

    Published in European radiology (01-07-2021)
    “…Purpose To assess the diagnostic performance of radiomic analysis using high temporal resolution (HTR)-dynamic contrast enhancement (DCE) MR sequences compared…”
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    Journal Article
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    Intravoxel incoherent motion (IVIM) 3 T MRI for orbital lesion characterization by Lecler, Augustin, Duron, Loïc, Zmuda, Mathieu, Zuber, Kevin, Bergès, Olivier, Putterman, Marc, Savatovsky, Julien, Fournier, Laure

    Published in European radiology (2021)
    “…Objectives To determine the diagnostic accuracy of MRI intravoxel incoherent motion (IVIM) when characterizing orbital lesions, which is challenging due to a…”
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    A Magnetic Resonance Imaging Radiomics Signature to Distinguish Benign From Malignant Orbital Lesions by Duron, Loïc, Heraud, Alexandre, Charbonneau, Frédérique, Zmuda, Mathieu, Savatovsky, Julien, Fournier, Laure, Lecler, Augustin

    Published in Investigative radiology (01-03-2021)
    “…OBJECTIVESDistinguishing benign from malignant orbital lesions remains challenging both clinically and with imaging, leading to risky biopsies. The objective…”
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    Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: Where do we stand? by Bergier, Hugo, Duron, Loïc, Sordet, Christelle, Kawka, Lou, Schlencker, Aurélien, Chasset, François, Arnaud, Laurent

    Published in Autoimmunity reviews (01-08-2021)
    “…The past decade has seen tremendous development in digital health, including in innovative new technologies such as Electronic Health Records, telemedicine,…”
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    Validation of a deep learning segmentation algorithm to quantify the skeletal muscle index and sarcopenia in metastatic renal carcinoma by Roblot, Victoire, Giret, Yann, Mezghani, Sarah, Auclin, Edouard, Arnoux, Armelle, Oudard, Stéphane, Duron, Loïc, Fournier, Laure

    Published in European radiology (01-07-2022)
    “…Objectives To validate a deep learning (DL) algorithm for measurement of skeletal muscular index (SMI) and prediction of overall survival in oncology…”
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    A signature of structural MRI features at 3 Tesla allows an accurate characterization of orbital cavernous venous malformation by Elbaze, Simon, Duron, Loïc, Mambour, Natasha, Zmuda, Mathieu, Krystal, Sidney, Guillaume, Jessica, Savatovsky, Julien, Lecler, Augustin

    Published in European radiology (01-03-2023)
    “…Objectives To differentiate OCVM from other orbital lesions using structural MRI. Methods This IRB-approved a historical-prospective cohort single-center…”
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    Three Tesla 3D High-Resolution Vessel Wall MRI of the Orbit may Differentiate Arteritic From Nonarteritic Anterior Ischemic Optic Neuropathy by Mohammed-Brahim, Nawel, Clavel, Gaëlle, Charbonneau, Frédérique, Duron, Loïc, Picard, Hervé, Zuber, Kevin, Savatovsky, Julien, Lecler, Augustin

    Published in Investigative radiology (01-11-2019)
    “…BACKGROUNDAnterior ischemic optic neuropathy (AION) is the most common cause of acute optic neuropathy in older patients. Distinguishing between arteritic AION…”
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    Contrast-Enhanced 3D Spin Echo T1-Weighted Sequence Outperforms 3D Gradient Echo T1-Weighted Sequence for the Detection of Multiple Sclerosis Lesions on 3.0 T Brain MRI by de Panafieu, Ariane, Lecler, Augustin, Goujon, Adrien, Krystal, Sidney, Gueguen, Antoine, Sadik, Jean-Claude, Savatovsky, Julien, Duron, Loïc

    Published in Investigative radiology (01-05-2023)
    “…Using reliable contrast-enhanced T1 sequences is crucial to detect enhancing brain lesions for multiple sclerosis (MS) at the time of diagnosis and over…”
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    Comparative performances of machine learning algorithms in radiomics and impacting factors by Decoux, Antoine, Duron, Loic, Habert, Paul, Roblot, Victoire, Arsovic, Emina, Chassagnon, Guillaume, Arnoux, Armelle, Fournier, Laure

    Published in Scientific reports (28-08-2023)
    “…There are no current recommendations on which machine learning (ML) algorithms should be used in radiomics. The objective was to compare performances of ML…”
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    Co-registration with subtraction and color-coding or fusion improves the detection of new and growing lesions on follow-up MRI examination of patients with multiple sclerosis by Adoum, Akim, Mazzolo, Leila, Lecler, Augustin, Sadik, Jean-Claude, Savatovsky, Julien, Duron, Loïc

    Published in Diagnostic and interventional imaging (01-11-2023)
    “…The purpose of this study was to compare the performance of three magnetic resonance imaging (MRI) reading methods in the follow-up of patients with multiple…”
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