Texture analysis as a noninvasive tool for fibrosis assessment in chronic hepatitis C. influence of expert dependent variability over the performance of texture analysis. - Cristian Vicas; Monica Lupsor; Mihai Adrian Socaciu; Radu Badea; Sergiu Nedevschi (ICCP, 2011)

Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C. - Ruxandra Stoean; Catalin Stoean; Monica Lupsor; Horia Stefanescu; Radu Badea (Artif. Intell. Medicine, 2011)

Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis. - Catalin Stoean; Ruxandra Stoean; Monica Lupsor; Horia Stefanescu; Radu Badea (Comput. Biol. Medicine, 2011)

Abdominal Tumor Characterization and Recognition Using Superior-Order Cooccurrence Matrices, Based on Ultrasound Images. - Delia Alexandrina Mitrea; Paulina Mitrea; Sergiu Nedevschi; Radu Badea; Monica Lupsor; Mihai Adrian Socaciu; Adela Golea; Claudia Hagiu; Lidia Ciobanu (Comput. Math. Methods Medicine, 2012)

Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis. - Cristian Vicas; Monica Lupsor; Mihai Adrian Socaciu; Sergiu Nedevschi; Radu Badea (Comput. Math. Methods Medicine, 2012)

Discovering the cirrhosis grades from ultrasound images by using textural features and clustering methods. - Delia Mitrea; Monica Lupsor Platon; Sergiu Nedevschi; Radu Badea (TSP, 2013)

Fractal Analysis of Elastographic Images for Automatic Detection of Diffuse Diseases of Salivary Glands: Preliminary Results. - Alexandru Florin Badea; Monica Lupsor Platon; Maria Crisan; Carlo Cattani; Iulia-Clara Badea; Gaetano Pierro; Gianpaolo Sannino; Grigore Baciut (Comput. Math. Methods Medicine, 2013)

Advanced Texture Analysis Techniques for Building Textural Models, with Applications in the Study of the Pathology Evolution Stages, based on Ultrasound Images. - Delia Mitrea; Sergiu Nedevschi; Monica Platon-Lupsor; Radu Badea (EPS, 2016)

The role of the cooccurrence matrix based on complex extended microstructures in discovering the cirrhosis severity grades within US images. - Delia Mitrea; Sergiu Nedevschi; Paulina Mitrea; Monica Platon-Lupsor; Radu Badea (CISP-BMEI, 2017)

Deep convolutional neural nets for objective steatosis detection from liver samples. - Cristian Vicas; Ioana Rusu; Nadim Al Hajjar; Monica Lupsor Platon (ICCP, 2017)

HCC Recognition Within Ultrasound Images Employing Advanced Textural Features with Deep Learning Techniques. - Delia Mitrea; Sergiu Nedevschi; Paulina Mitrea; Monica Platon-Lupsor; Radu Badea (CISP-BMEI, 2019)

Hepatocellular Carcinoma Recognition in Ultrasound Images Using Textural Descriptors and Classical Machine Learning. - Raluca Brehar; Delia Mitrea; Sergiu Nedevschi; Monica Platon-Lupsor; Magda Rotaru; Radu Badea (ICCP, 2019)

Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images. - Raluca Brehar; Delia Alexandrina Mitrea; Flaviu Ionut Vancea; Tiberiu Marita; Sergiu Nedevschi; Monica Lupsor Platon; Magda Rotaru; Radu Badea (Sensors, 2020)

Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques. - Delia Alexandrina Mitrea; Raluca Brehar; Sergiu Nedevschi; Monica Lupsor Platon; Mihai Adrian Socaciu; Radu Badea (Sensors, 2023)