Bernard Van Beers

Professor

Université Paris Cité

France

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Bernard Van Beers is a Professor at Université Paris Cité in France. His research focuses on the non-invasive diagnosis of liver diseases, particularly in relation to type 2 diabetes and non-alcoholic fatty liver disease. Recent articles include investigations into elastography techniques and their application in diagnosing liver conditions.

Articles (16)

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2024

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2023

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2023

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2023

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2023

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2022

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (4)

Marion Tardieu

Institut de Recherche en Cancérologie de Montpellier

FRANCE

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Philippe Garteiser

FRANCE

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Cédric LAOUENAN

Associate professor

Université Paris-Saclay

FRANCE

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jean-luc gennisson

CNRS Délégation Ile-de-France Sud

FRANCE

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Bernard Van Beers

Research Interests

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Articles (16)

Prospective head-to-head comparison of non-invasive scores for diagnosis of fibrotic MASH in patients with type 2 diabetes.

Comparison of ultrasound elastography, magnetic resonance elastography and finite element model to quantify nonlinear shear modulus

Visco‐Elastic Parameters at Three‐Dimensional MR Elastography for Diagnosing Non‐Alcoholic Steatohepatitis and Substantial Fibrosis in Mice

Prospective Comparison of Attenuation Imaging and Controlled Attenuation Parameter for Liver Steatosis Diagnosis in Patients With Nonalcoholic Fatty Liver Disease and Type 2 Diabetes.

Hepatocellular carcinoma in patients with non-alcoholic fatty liver disease is associated with heterogeneous pattern of fat infiltration in skeletal muscles.

High Prevalence of NASH and Advanced Fibrosis in Type 2 Diabetes: A Prospective Study of 330 Outpatients Undergoing Liver Biopsies for Elevated ALT, Using a Low Threshold.

Comparative Analysis of a Locally Resampling MR Elastography Reconstruction Algorithm in Liver Fibrosis.

Magnetic resonance elastography of malignant tumors

Bases techniques de l’élastographie par résonance magnétique

Necro-inflammatory activity grading in chronic viral hepatitis with three-dimensional multifrequency MR elastography.

Prospective comparison of transient elastography, MRI and serum scores for grading steatosis and detecting non-alcoholic steatohepatitis in bariatric surgery candidates.

The SVD beamformer with diverging waves: a proof-of-concept for fast aberration correction.

Editorial for "Hepatic Steatosis Has No Effect in Diagnosis Accuracy of LI-RADS v2018 Categorization of Hepatocellular Carcinoma in MR Imaging".

Multifrequency magnetic resonance elastography for elasticity quantitation and optimal tissue discrimination: A two-platform liver fibrosis mimicking phantom study.

Tumor Solid Stress: Assessment with MR Elastography under Compression of Patient-Derived Hepatocellular Carcinomas and Cholangiocarcinomas Xenografted in Mice

Analysis Protocols for MRI Mapping of Renal T<sub>1</sub>.

Collaborators (4)

Marion Tardieu

Philippe Garteiser

Cédric LAOUENAN

jean-luc gennisson

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