M. Lupsor

Exploring the textural parameters obtained from ultrasound images for modeling the liver pathological stages in the evolution towards hepatocellular carcinoma

S. Nedevschi, R. Badea, D. Mitrea, 2008, 2008 IEEE International Conference on Automation, Quality and Testing, Robotics.

Advanced classification methods for improving the automatic diagnosis of the hepatocellular carcinoma, based on ultrasound images

S. Nedevschi, R. Badea, D. Mitrea, 2010, 2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).

Detection of anatomical structures on ultrasound liver images using Gabor filters

S. Nedevschi, R. Badea, M. Lupsor, 2010, 2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).

Performance of Acoustic Radiation Force Impulse imaging for the staging of liver fibrosis: a pooled meta‐analysis

M. Lupsor, I. Sporea, M. Friedrich-Rust, 2012, Journal of viral hepatitis.

Ultrasonography Contribution to Hepatic Steatosis Quantification. Possibilities of Improving this Method through Computerized Analysis of Ultrasonic Image

S. Nedevschi, R. Badea, D. Mitrea, 2006, 2006 IEEE International Conference on Automation, Quality and Testing, Robotics.

The diagnostic performance of attenuation coefficient computed on the ultrasound image compared to a biochemical marker — SteatoTest — for steatosis quantification in non-alcoholic fatty liver disease

R. Badea, M. Lupsor, C. Vicas, 2010, 2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).

Non-invasive steatosis assessment in NASH through the computerized processing of ultrasound images: Attenuation versus textural parameters

R. Badea, M. Lupsor, C. Vicas, 2010, 2010 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).