RGB Three-Channel SWE-Based Ultrasomics Model: Improving the Efficiency in Differentiating Focal Liver Lesions

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

(2020) George C Kagadis et al.   PHYSICS IN MEDICINE AND BIOLOGY

A comprehensive data level analysis for cancer diagnosis on imbalanced data

(2019) Sara Fotouhi et al.   JOURNAL OF BIOMEDICAL INFORMATICS

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

(2019) Ilias Gatos et al.   MEDICAL PHYSICS

A cost‐effective approach to factor assay calibration using a truncated live calibration curve

(2019) Susan Guy et al.   International Journal of Laboratory Hematology

Grayscale Ultrasound Radiomic Features and Shear-Wave Elastography Radiomic Features in Benign and Malignant Breast Masses

(2019) Ji Hyun Youk et al.   ULTRASCHALL IN DER MEDIZIN

Content Based Image Retrieval by Using Color Descriptor and Discrete Wavelet Transform

(2018) Rehan Ashraf et al.   JOURNAL OF MEDICAL SYSTEMS

Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis

(2018) Wei Li et al.   EUROPEAN RADIOLOGY

Preoperative diagnosis and prediction of hepatocellular carcinoma: Radiomics analysis based on multi-modal ultrasound images

(2018) Zhao Yao et al.   BMC CANCER

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

(2017) Ilias Gatos et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Sonoelastomics for Breast Tumor Classification: A Radiomics Approach with Clustering-Based Feature Selection on Sonoelastography

(2017) Qi Zhang et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

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

(2016) Ilias Gatos et al.   MEDICAL PHYSICS

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Feasibility Study of Texture Analysis Using Ultrasound Shear Wave Elastography to Predict Malignancy in Thyroid Nodules

(2016) Kunwar Suryaveer Singh Bhatia et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Maximum Value Measured by 2-D Shear Wave Elastography Helps in Differentiating Malignancy from Benign Focal Liver Lesions

(2016) Wen-Shuo Tian et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Shear Wave Elastography of Focal Liver Lesion

(2015) Hee Sun Park et al.   Ultrasound Quarterly

Quantitative Elastography of Liver Fibrosis and Spleen Stiffness in Chronic Hepatitis B Carriers: Comparison of Shear-Wave Elastography and Transient Elastography with Liver Biopsy Correlation

(2013) Vivian Yee-fong Leung et al.   RADIOLOGY

EFSUMB Guidelines and Recommendations on the Clinical Use of Ultrasound Elastography. Part 1: Basic Principles and Technology

(2013) J. Bamber et al.   ULTRASCHALL IN DER MEDIZIN

Computer-Aided Diagnosis Based on Quantitative Elastographic Features with Supersonic Shear Wave Imaging

(2013) Yang Xiao et al.   ULTRASOUND IN MEDICINE AND BIOLOGY

Radiomics: Extracting more information from medical images using advanced feature analysis

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

Color-to-Grayscale: Does the Method Matter in Image Recognition?

(2012) Christopher Kanan et al.   PLoS One

Guidelines and Good Clinical Practice Recommendations for Contrast Enhanced Ultrasound (CEUS) in the Liver – Update 2012

(2012) M. Claudon et al.   ULTRASCHALL IN DER MEDIZIN

Real-Time Elastography for the Differentiation of Benign and Malignant Thyroid Nodules: A Meta-Analysis

(2010) Jörg Bojunga et al.   THYROID

Perceptual Evaluation of Color-to-Grayscale Image Conversions

(2009) M. Ĉadík   COMPUTER GRAPHICS FORUM