Radu Badea

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 15

Top Topics

Ultrasound Images

Top Venues

Publications

Delia Mitrea, Raluca Brehar, Razvan Itu, Sergiu Nedevschi, Mihai Adrian Socaciu, Radu Badea
Pancreatic Tumor Recognition from CT Images through Advanced Deep Learning Techniques. AQTR (2024)
Delia Mitrea, Raluca Brehar, Cristinel Mocan, Sergiu Nedevschi, Mihai Socaciu, Radu Badea
Hepatocellular Carcinoma Recognition from Ultrasound Images by Fusing Convolutional Neural Networks at Decision Level. TSP (2023)
Delia Mitrea, Vlad Timu, Cristinel-Mihai Mocan, Sergiu Nedevschi, Andrei-Vlad Florian, Mihai Adrian Socaciu, Radu Badea
Liver Tumor Segmentation From Computed Tomography Images Through Convolutional Neural Networks. ICSAI (2023)
Delia Alexandrina Mitrea, Raluca Brehar, Sergiu Nedevschi, Monica Lupsor Platon, Mihai Socaciu, Radu Badea
Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques. Sensors 23 (5) (2023)
Delia Mitrea, Radu Badea, Paulina Mitrea, Stelian Brad, Sergiu Nedevschi
Hepatocellular Carcinoma Automatic Diagnosis within CEUS and B-Mode Ultrasound Images Using Advanced Machine Learning Methods. Sensors 21 (6) (2021)
Bacea Dan-Sebastian, Delia Alexandrina Mitrea, Sergiu Nedevschi, Radu Badea
Adversarial Graph Learning and Deep Learning Techniques for improving diagnosis within CT and Ultrasound images. ICCP (2020)
Raluca Brehar, Delia Alexandrina Mitrea, Flaviu Ionut Vancea, Tiberiu Marita, Sergiu Nedevschi, Monica Lupsor Platon, Magda Rotaru, Radu Badea
Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images. Sensors 20 (11) (2020)
Raluca Brehar, Delia Mitrea, Sergiu Nedevschi, Monica Platon-Lupsor, Magda Rotaru, Radu Badea
Hepatocellular Carcinoma Recognition in Ultrasound Images Using Textural Descriptors and Classical Machine Learning. ICCP (2019)
Flaviu Ionut Vancea, Delia Mitrea, Sergiu Nedevschi, Magda Rotaru, Horia Stefanescu, Radu Badea
Hepatocellular Carcinoma Segmentation within Ultrasound Images using Convolutional Neural Networks. ICCP (2019)
Delia Mitrea, Sergiu Nedevschi, Paulina Mitrea, Monica Platon-Lupsor, Radu Badea
HCC Recognition Within Ultrasound Images Employing Advanced Textural Features with Deep Learning Techniques. CISP-BMEI (2019)
Delia Mitrea, Sergiu Nedevschi, Radu Badea
Automatic Recognition of the Hepatocellular Carcinoma from Ultrasound Images using Complex Textural Microstructure Co-Occurrence Matrices (CTMCM). ICPRAM (2018)
Ioanna Kakalou, Kostas E. Psannis, Piotr Krawiec, Radu Badea
Cognitive Radio Network and Network Service Chaining toward 5G: Challenges and Requirements. IEEE Commun. Mag. 55 (11) (2017)
Delia Mitrea, Sergiu Nedevschi, Paulina Mitrea, Monica Platon-Lupsor, Radu Badea
The role of the cooccurrence matrix based on complex extended microstructures in discovering the cirrhosis severity grades within US images. CISP-BMEI (2017)
Delia Mitrea, Sergiu Nedevschi, Monica Platon-Lupsor, Radu Badea
Advanced Texture Analysis Techniques for Building Textural Models, with Applications in the Study of the Pathology Evolution Stages, based on Ultrasound Images. EPS (2016)
Delia Mitrea, Sergiu Nedevschi, Radu Badea
The Role of the Complex Extended Textural Microstructure Co-occurrence Matrix in the Unsupervised Detection of the HCC Evolution Phases, based on Ultrasound Images. ICPRAM (2016)
Delia Mitrea, Sergiu Nedevschi, Mihail Abrudean, Radu Badea
Colorectal cancer recognition from ultrasound images, using complex textural microstructure cooccurrence matrices, based on Laws' features. TSP (2015)
Vlad Poenaru, Serban Georgica Obreja, Radu Badea, Eugen Borcoci
A performance analysis for a resource manager of a content aware network. COMM (2014)
Alexandru Ioan Mitrea, Sergiu Nedevschi, Delia Mitrea, Paulina Mitrea, Radu Badea
Diseased tissue area detection and delimitation, by fusion between finite difference methods and textural analysis. AQTR (2014)
Delia Mitrea, Sergiu Nedevschi, Radu Badea
Classification of the Liver Tumors using Multiresolution, Superior Order EOCM Textural Features. ICPRAM (2014)
Carlo Cattani, Radu Badea, Shengyong Chen, Maria Crisan
Biomedical Signal Processing and Modeling Complexity of Living Systems 2013. Comput. Math. Methods Medicine 2013 (2013)
Delia Mitrea, Monica Lupsor Platon, Sergiu Nedevschi, Radu Badea
Discovering the cirrhosis grades from ultrasound images by using textural features and clustering methods. TSP (2013)
Florin Gorunescu, Smaranda Belciug, Marina Gorunescu, Radu Badea
Intelligent decision-making for liver fibrosis stadialization based on tandem feature selection and evolutionary-driven neural network. Expert Syst. Appl. 39 (17) (2012)
Carlo Cattani, Radu Badea, Shengyong Chen, Maria Crisan
Biomedical Signal Processing and Modeling Complexity of Living Systems. Comput. Math. Methods Medicine 2012 (2012)
Cristian Vicas, Monica Lupsor, Mihai Socaciu, Sergiu Nedevschi, Radu Badea
Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis. Comput. Math. Methods Medicine 2012 (2012)
Delia Alexandrina Mitrea, Paulina Mitrea, Sergiu Nedevschi, Radu Badea, Monica Lupsor, Mihai Socaciu, Adela Golea, Claudia Hagiu, Lidia Ciobanu
Abdominal Tumor Characterization and Recognition Using Superior-Order Cooccurrence Matrices, Based on Ultrasound Images. Comput. Math. Methods Medicine 2012 (2012)
Maria Crisan, Guido Cappare, Luciana Neamtiu, Ioana Chiorean, Liana Lupsa, Diana Crisan, Radu Badea
Multicriteria Optimization Model for the Study of the Efficacy of Skin Antiaging Therapy. Comput. Math. Methods Medicine 2012 (2012)
Delia Mitrea, Sergiu Nedevschi, Radu Badea
The Role of the Multiresolution Textural Features in Improving the Characterization and Recognition of the Liver Tumors, Based on Ultrasound Images. SYNASC (2012)
Alexandru Ioan Mitrea, Radu Badea, Delia Alexandrina Mitrea, Sergiu Nedevschi, Paulina Mitrea, Dumitru Mircea Ivan, Octavian Mircia Gurzau
Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging. Comput. Math. Methods Medicine 2012 (2012)
Catalin Stoean, Ruxandra Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea
Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis. Comput. Biol. Medicine 41 (4) (2011)
Ruxandra Stoean, Catalin Stoean, Monica Lupsor, Horia Stefanescu, Radu Badea
Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C. Artif. Intell. Medicine 51 (1) (2011)
Delia Mitrea, Sergiu Nedevschi, Radu Badea
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. ICCP (2011)
Delia Mitrea, Sergiu Nedevschi, Radu Badea
The role of the superior order GLCM in improving the automatic diagnosis of the hepatocellular carcinoma based on ultrasound images. TSP (2011)
Cristian Vicas, Monica Lupsor, Mihai Socaciu, Radu Badea, Sergiu Nedevschi
Texture analysis as a noninvasive tool for fibrosis assessment in chronic hepatitis C. influence of expert dependent variability over the performance of texture analysis. ICCP (2011)
Delia Mitrea, Sergiu Nedevschi, Mihai Socaciu, Radu Badea
The Role of the Feature Extraction Methods in Improving the Textural Model of the Hepatocellular Carcinoma, Based on Ultrasound Images. ICDIPC (1) (2011)
Maria Crisan, Carlo Cattani, Radu Badea, Paulina Mitrea, Mira Florea, Diana Crisan, Delia Mitrea, Razvan Bucur, Gabriela Checiches
Modelling Cutaneous Senescence Process. ICCSA (2) (2010)