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  1. No Access

    Article

    Development of a Secure Web-Based Medical Imaging Analysis Platform: The AWESOMME Project

    Precision medicine research benefits from machine learning in the creation of robust models adapted to the processing of patient data. This applies both to pathology identification in images, i.e., annotation ...

    Tiphaine Diot-Dejonghe, Benjamin Leporq in Journal of Imaging Informatics in Medicine (2024)

  2. Article

    Open Access

    Prediction of lipomatous soft tissue malignancy on MRI: comparison between machine learning applied to radiomics and deep learning

    Malignancy of lipomatous soft-tissue tumours diagnosis is suspected on magnetic resonance imaging (MRI) and requires a biopsy. The aim of this study is to compare the performances of MRI radiomic machine learn...

    Guillaume Fradet, Reina Ayde, Hugo Bottois in European Radiology Experimental (2022)

  3. No Access

    Article

    Multicontrast MRI-based radiomics for the prediction of pathological complete response to neoadjuvant chemotherapy in patients with early triple negative breast cancer

    To assess pre-therapeutic MRI-based radiomic analysis to predict the pathological complete response to neoadjuvant chemotherapy (NAC) in women with early triple negative breast cancer (TN).

    Angeline Nemeth, Pierre Chaudet in Magnetic Resonance Materials in Physics, B… (2021)

  4. No Access

    Article

    CT and MR perfusion techniques to assess diffuse liver disease

    Perfusion imaging allows for the quantitative extraction of physiological perfusion parameters of the liver microcirculation at levels far below the spatial the resolution of CT and MR imaging. Because of its ...

    Maxime Ronot, Benjamin Leporq, Bernard E. Van Beers in Abdominal Radiology (2020)

  5. Article

    Open Access

    MRI-based radiomics to predict lipomatous soft tissue tumors malignancy: a pilot study

    To develop and validate a MRI-based radiomic method to predict malignancies in lipomatous soft tissue tumors.

    Benjamin Leporq, Amine Bouhamama, Frank Pilleul, Fabrice Lame in Cancer Imaging (2020)

  6. No Access

    Article

    Combined quantification of fatty infiltration, T 1-relaxation times and T 2*-relaxation times in normal-appearing skeletal muscle of controls and dystrophic patients

    To evaluate the combination of a fat–water separation method with an automated segmentation algorithm to quantify the intermuscular fatty-infiltrated fraction, the relaxation times, and the microscopic fatty i...

    Benjamin Leporq, Arnaud Le Troter in Magnetic Resonance Materials in Physics, B… (2017)

  7. No Access

    Article

    Liver Perfusion Modifies Gd-DTPA and Gd-BOPTA Hepatocyte Concentrations Through Transfer Clearances Across Sinusoidal Membranes

    Gadobenate dimeglumine (Gd-BOPTA) is a commercialised hepatobiliary contrast agent used during liver magnetic resonance imaging (MRI) to detect liver diseases. It enters into human hepatocytes through organic ...

    Jean-Luc Daire, Benjamin Leporq in European Journal of Drug Metabolism and Ph… (2017)

  8. No Access

    Article

    Gadoxetate-enhanced MR imaging and compartmental modelling to assess hepatocyte bidirectional transport function in rats with advanced liver fibrosis

    Changes in the expression of hepatocyte membrane transporters in advanced fibrosis decrease the hepatic transport function of organic anions. The aim of our study was to assess if these changes can be evaluate...

    Céline Giraudeau, Benjamin Leporq, Sabrina Doblas, Matthieu Lagadec in European Radiology (2017)

  9. No Access

    Chapter

    Imaging Biomarker Measurements

    Imaging biomarkers are health or disease markers based on quantitative imaging parameters. With high-throughput computing, it is now possible to extract numerous quantitative features from computed tomography ...

    Bernard E. Van Beers, Benjamin Leporq, Sabrina Doblas in Imaging Biomarkers (2017)

  10. No Access

    Article

    Liver fat volume fraction quantification with fat and water T1 and T2* estimation and accounting for NMR multiple components in patients with chronic liver disease at 1.5 and 3.0 T

    To validate a magnitude-based method for fat volume fraction (FVF) quantification in the liver without any dominant component ambiguity problems and with the aim of transferring this method to any imaging syst...

    Benjamin Leporq, Hélène Ratiney, Frank Pilleul, Olivier Beuf in European Radiology (2013)