Modelling Cutaneous Senescence Process. - Maria Crisan; Carlo Cattani; Radu Badea; Paulina Mitrea; Mira Florea; Diana Crisan; Delia Mitrea; Razvan Bucur; Gabriela Checiches (ICCSA (2), 2010)

The role of the superior order GLCM and of the generalized cooccurrence matrices in the characterization and automatic diagnosis of the hepatocellular carcinoma, based on ultrasound images. - Delia Mitrea; Sergiu Nedevschi; Radu Badea (ICCP, 2011)

The Role of the Feature Extraction Methods in Improving the Textural Model of the Hepatocellular Carcinoma, Based on Ultrasound Images. - Delia Mitrea; Sergiu Nedevschi; Mihai Adrian Socaciu; Radu Badea (ICDIPC (1), 2011)

The role of the superior order GLCM in improving the automatic diagnosis of the hepatocellular carcinoma based on ultrasound images. - Delia Mitrea; Sergiu Nedevschi; Radu Badea (TSP, 2011)

The Role of the Multiresolution Textural Features in Improving the Characterization and Recognition of the Liver Tumors, Based on Ultrasound Images. - Delia Mitrea; Sergiu Nedevschi; Radu Badea (SYNASC, 2012)

Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging. - Alexandru Ioan Mitrea; Radu Badea; Delia Alexandrina Mitrea; Sergiu Nedevschi; Paulina Mitrea; Dumitru Mircea Ivan; Octavian Mircia Gurzau (Comput. Math. Methods Medicine, 2012)

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)

Software System for the Automatic and Computer Aided Diagnosis of the Tumoral Affections, based on Ultrasound Image. - Delia Mitrea; Sergiu Nedevschi (RoCHI, 2013)

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)

Diseased tissue area detection and delimitation, by fusion between finite difference methods and textural analysis. - Alexandru Ioan Mitrea; Sergiu Nedevschi; Delia Mitrea; Paulina Mitrea; Radu Badea (AQTR, 2014)

Classification of the Liver Tumors using Multiresolution, Superior Order EOCM Textural Features. - Delia Mitrea; Sergiu Nedevschi; Radu Badea (ICPRAM, 2014)

Colorectal cancer recognition from ultrasound images, using complex textural microstructure cooccurrence matrices, based on Laws' features. - Delia Mitrea; Sergiu Nedevschi; Mihail Abrudean; Radu Badea (TSP, 2015)

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 Complex Extended Textural Microstructure Co-occurrence Matrix in the Unsupervised Detection of the HCC Evolution Phases, based on Ultrasound Images. - Delia Mitrea; Sergiu Nedevschi; Radu Badea (ICPRAM, 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)

Automatic Recognition of the Hepatocellular Carcinoma from Ultrasound Images using Complex Textural Microstructure Co-Occurrence Matrices (CTMCM). - Delia Mitrea; Sergiu Nedevschi; Radu Badea (ICPRAM, 2018)

MES Specific Data Analysis. Case Study with the Baxter Robot. - Delia Mitrea; Levente Tamas (SYNASC, 2018)

Manufacturing Execution System Specific Data Analysis-Use Case With a Cobot. - Delia Mitrea; Levente Tamas (IEEE Access, 2018)

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)

Hepatocellular Carcinoma Segmentation within Ultrasound Images using Convolutional Neural Networks. - Flaviu Ionut Vancea; Delia Mitrea; Sergiu Nedevschi; Magda Rotaru; Horia Stefanescu; Radu Badea (ICCP, 2019)

Adversarial Graph Learning and Deep Learning Techniques for improving diagnosis within CT and Ultrasound images. - Dan-Sebastian Bacea; Delia Alexandrina Mitrea; Sergiu Nedevschi; Radu Badea (ICCP, 2020)

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 Automatic Diagnosis within CEUS and B-Mode Ultrasound Images Using Advanced Machine Learning Methods. - Delia Mitrea; Radu Badea; Paulina Mitrea; Stelian Brad; Sergiu Nedevschi (Sensors, 2021)

Kidney Tumor Segmentation and Grade Identification in CT Images. - Raluca Didona Brehar; Delia Alexandrina Mitrea; Sergiu Nedevschi; Tudor Moisoiu; Florin Ioan Elec; Mihai Adrian Socaciu (ICCP, 2023)

Liver Tumor Segmentation From Computed Tomography Images Through Convolutional Neural Networks. - Delia Mitrea; Vlad Timu; Cristinel Mihai Mocan; Sergiu Nedevschi; Andrei-Vlad Florian; Mihai Adrian Socaciu; Radu Badea (ICSAI, 2023)

Hepatocellular Carcinoma Recognition from Ultrasound Images by Fusing Convolutional Neural Networks at Decision Level. - Delia Mitrea; Raluca Brehar; Cristinel Mocan; Sergiu Nedevschi; Mihai Adrian Socaciu; Radu Badea (TSP, 2023)

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)

Pancreatic Tumor Recognition from CT Images through Advanced Deep Learning Techniques. - Delia Mitrea; Raluca Brehar; Razvan Itu; Sergiu Nedevschi; Mihai Adrian Socaciu; Radu Badea (AQTR, 2024)

Employing Clustering Techniques and Association Rules for Client Segmentation and Attribute Dependency Mining in the Domain of Car Insurance. - Delia Mitrea; Paulina Mitrea; Erik Barna (TFC (2), 2024)