P. Zoumpoulis

发表

Temporal stability assessment in shear wave elasticity images validated by deep learning neural network for chronic liver disease fibrosis stage assessment.

Ilias Gatos, Stavros Tsantis, Dimitris Karnabatidis, 2019, Medical physics.

FUZZY NEURAL NETWORK BASED CHARACTERIZATION OF DIFFUSED LIVER DISEASES USING IMAGE TEXTURE ANALYSIS TECHNIQUES ON ULTRASONIC IMAGES

K. Blekas, E. Kyriacou, S. Pavlopoulos, 1998 .

Optimal Elasticity cut-off value for discriminating Healthy to Pathological Fibrotic patients employing Fuzzy C-Means automatic segmentation in Liver Shear Wave Elastography images

A. Skouroliakou, S. Tsantis, I. Gatos, 2015 .

Assessment of biopsy‐proven liver fibrosis by two‐dimensional shear wave elastography: An individual patient data‐based meta‐analysis

Ioan Sporea, Thomas Deffieux, Eva Herrmann, 2017, Hepatology.

University of Southern Denmark Assessment of biopsy-proven liver fibrosis by two-dimensional shear wave elastography

C. Strassburg, G. Ferraioli, C. Fìlice, 2017 .

Syddansk Universitet Assessment of biopsy-proven liver fibrosis by two-dimensional shear wave elastography An individual patient data based meta-analysis

C. Strassburg, G. Ferraioli, C. Fìlice, 2017 .

Comparison of Visual Transient Elastography, Vibration Controlled Transient Elastography, Shear Wave Elastography and Sound Touch Elastography in Chronic liver Disease assessment using liver biopsy as 'Gold Standard'.

I. Gatos, I. Theotokas, P. Zoumpoulis, 2022, European journal of radiology.

Speed of sound index for liver steatosis estimation: a reliability study in normal subjects

T. Loupas, I. Gatos, P. Zoumpoulis, 2022, Diagnostic and interventional radiology.

Liver stiffness measurements by 2-dimensional shear wave elastography compared to histological and ultrasound parameters in primary biliary cholangitis

I. Delladetsima, I. Gatos, P. Zoumpoulis, 2021, Scandinavian journal of gastroenterology.

Applying Broadband Dielectric Spectroscopy (BDS) for the Biophysical Characterization of Mammalian Tissues under a Variety of Cellular Stresses

N. Kostomitsopoulos, L. Margaritis, D. Kletsas, 2017, International journal of molecular sciences.

Changes in share wave elastography after Lumacaftor/Ivacaftor treatment in children with cystic fibrosis.

M. Moustaki, P. Zoumpoulis, Aikaterini Kanavaki, 2022, Current Drug Safety.

Trying different schemes in antibiotic prophylaxis of TRUS biopsy of the prostate results in minimizing infectious biopsy-related complications

P. Zoumpoulis, 2010 .

Fuzzy neural network-based texture analysis of ultrasonic images

K. Blekas, E. Kyriacou, D. Koutsouris, 2000, IEEE Engineering in Medicine and Biology Magazine.

Computer assisted characterization of diffused liver disease using image texture analysis techniques on B-scan images

D. Koutsouris, G. Konnis, S. Pavlopoulos, 1997, 1997 IEEE Nuclear Science Symposium Conference Record.

A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography.

Ilias Gatos, Stavros Tsantis, Dimitris Karnabatidis, 2017, Ultrasound in medicine & biology.

Deep learning networks on chronic liver disease assessment with fine-tuning of shear wave elastography image sequences

Panagiotis Papadimitroulas, Ilias Gatos, Stavros Tsantis, 2020, Physics in medicine and biology.

A new computer aided diagnosis system for evaluation of chronic liver disease with ultrasound shear wave elastography imaging.

Ilias Gatos, Stavros Tsantis, Dimitris Karnabatidis, 2016, Medical physics.

2D-shear wave elastography: number of acquisitions can be reduced according to clinical setting

V. de Lédinghen, G. Chatellier, C. Strassburg, 2021, Insights into Imaging.

Comparison of Sound Touch Elastography, Shear Wave Elastography and Vibration-Controlled Transient Elastography in Chronic Liver Disease Assessment using Liver Biopsy as the "Reference Standard".

Ilias Gatos, Ioannis Theotokas, Petros Drazinos, 2020, Ultrasound in medicine & biology.

Computer image analysis of ultrasound images for discriminating and grading liver parenchyma disease employing a hierarchical decision tree scheme and the multilayer perceptron neural network classifier.

D Cavouras, I. Kandarakis, D. Cavouras, 1997, Studies in health technology and informatics.

A new automated quantification algorithm for the detection and evaluation of focal liver lesions with contrast-enhanced ultrasound.

Ilias Gatos, Stavros Tsantis, George C Kagadis, 2015, Medical physics.

Liver Ultrasound Attenuation

I. Gatos, I. Theotokas, P. Zoumpoulis, 2022, Ultrasound quarterly.

PIO 7405 Efficacy of image texture analysis techniques in the classification of ultrasonic liver images

D. Koutsouris, S. Pavlopoulos, I. Theotokas, 1997 .