Radu Badea

发表

Classification of the Liver Tumors using Multiresolution, Superior Order EOCM Textural Features

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2014, ICPRAM.

Validation of CFD simulation results in case of portal vein blood flow

Radu Badea, Paul Serban Agachi, Petru Adrian Mircea, 2010 .

The role of the Textural Microstructure Cooccurrence Matrices in the classification of the abdominal tumors, based on ultrasound images

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2014, 2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP).

Biomedical Signal Processing and Modeling Complexity of Living Systems 2013

Shengyong Chen, Carlo Cattani, Radu Badea, 2013, Comput. Math. Methods Medicine.

Cognitive Radio Network and Network Service Chaining toward 5G: Challenges and Requirements

Kostas E. Psannis, Radu Badea, Piotr Krawiec, 2017, IEEE Communications Magazine.

Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C

Ruxandra Stoean, Catalin Stoean, Radu Badea, 2011, Artif. Intell. Medicine.

The Role of the Complex Extended Textural Microstructure Co-occurrence Matrix in the Unsupervised Detection of the HCC Evolution Phases, based on Ultrasound Images

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2016, ICPRAM.

The Role of the Feature Extraction Methods in Improving the Textural Model of the Hepatocellular Carcinoma, Based on Ultrasound Images

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2011, ICDIPC.

Features selection approach for non-invasive evaluation of liver fibrosis

Smaranda Belciug, Radu Badea, Monica Lupsor, 2008 .

Automatic detection of liver capsule using Gabor Filters. Applications in steatosis quantification

Sergiu Nedevschi, Radu Badea, Cristian Vicas, 2009, 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing.

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

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2011, 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing.

Improving the Textural Model of the Hepatocellular Carcinoma Using Dimensionality Reduction Methods

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2009, 2009 2nd International Congress on Image and Signal Processing.

Classification of the Hepatocellular Carcinoma in Ultrasound Images Based on the Imagistic Textural Model of This Tumor

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2009 .

The Role of the Multiresolution Textural Features in Improving the Characterization and Recognition of the Liver Tumors, Based on Ultrasound Images

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2012, 2012 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

Hepatocellular Carcinoma Segmentation within Ultrasound Images using Convolutional Neural Networks

Sergiu Nedevschi, Radu Badea, Delia Mitrea, 2019, 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP).

Exploring texture-based parameters for noninvasive detection of diffuse liver diseases and liver cancer from ultrasound images

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2006 .

Modelling Cutaneous Senescence Process

Carlo Cattani, Delia Mitrea, Radu Badea, 2010, ICCSA.

CFD Simulation of the Portal Vein Blood Flow

Radu Badea, Paul Serban Agachi, C. C. Botar, 2009 .

Texture analysis as a noninvasive tool for fibrosis assessment in chronic hepatitis C. influence of expert dependent variability over the performance of texture analysis

Sergiu Nedevschi, Radu Badea, Cristian Vicas, 2011, 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing.

The role of the complex textural microstructure co-occurrence matrices, based on Laws’ features, in the characterization and recognition of some pathological structures, from ultrasound images

Mihail Abrudean, Sergiu Nedevschi, Delia Mitrea, 2016 .

Colorectal cancer recognition from ultrasound images, using complex textural microstructure cooccurrence matrices, based on Laws' features

Mihail Abrudean, Sergiu Nedevschi, Delia Mitrea, 2015, 2015 38th International Conference on Telecommunications and Signal Processing (TSP).

Experimenting various classification techniques for improving the automatic diagnosis of the malignant liver tumors, based on ultrasound images

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2010, 2010 3rd International Congress on Image and Signal Processing.

Intelligent decision-making for liver fibrosis stadialization based on tandem feature selection and evolutionary-driven neural network

Smaranda Belciug, Florin Gorunescu, Radu Badea, 2012, Expert Syst. Appl..

Iterative Methods for Obtaining Energy-Minimizing Parametric Snakes with Applications to Medical Imaging

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2012, Comput. Math. Methods Medicine.

HCC Recognition Within Ultrasound Images Employing Advanced Textural Features with Deep Learning Techniques

Sergiu Nedevschi, Radu Badea, Delia Mitrea, 2019, 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

Advanced Texture Analysis Techniques for Building Textural Models, with Applications in the Study of the Pathology Evolution Stages, based on Ultrasound Images

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2016 .

The role of the superior order GLCM in improving the automatic diagnosis of the hepatocellular carcinoma based on ultrasound images

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2011, 2011 34th International Conference on Telecommunications and Signal Processing (TSP).

Biomedical Signal Processing and Modeling Complexity of Living Systems

Shengyong Chen, Carlo Cattani, Radu Badea, 2012, Comput. Math. Methods Medicine.

Multicriteria Optimization Model for the Study of the Efficacy of Skin Antiaging Therapy

Radu Badea, Maria Crisan, Liana Lupsa, 2012, Comput. Math. Methods Medicine.

Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis

Ruxandra Stoean, Catalin Stoean, Radu Badea, 2011, Comput. Biol. Medicine.

Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis

Sergiu Nedevschi, Radu Badea, Cristian Vicas, 2011, Comput. Math. Methods Medicine.

Automatic Recognition of the Hepatocellular Carcinoma from Ultrasound Images using Complex Textural Microstructure Co-Occurrence Matrices (CTMCM)

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2018, ICPRAM.

Hepatocellular Carcinoma Recognition in Ultrasound Images Using Textural Descriptors and Classical Machine Learning

Sergiu Nedevschi, Raluca Brehar, Radu Badea, 2019, 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP).

Abdominal Tumor Characterization and Recognition Using Superior-Order Cooccurrence Matrices, Based on Ultrasound Images

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2012, Comput. Math. Methods Medicine.

The Role of Convolutional Neural Networks in the Automatic Recognition of the Hepatocellular Carcinoma, Based on Ultrasound Images

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2019, 6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania.

Discovering the cirrhosis grades from ultrasound images by using textural features and clustering methods

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2013, 2013 36th International Conference on Telecommunications and Signal Processing (TSP).

Hepatocellular Carcinoma Automatic Diagnosis within CEUS and B-Mode Ultrasound Images Using Advanced Machine Learning Methods

Sergiu Nedevschi, Stelian Brad, Delia Mitrea, 2021, Sensors.

Spleen stiffness measurement using fibroscan for the noninvasive assessment of esophageal varices in liver cirrhosis patients

Radu Badea, Monica Lupsor, M. Lupsor, 2011, Journal of gastroenterology and hepatology.

Editorial

Radu Badea, R. Badea, 1999, Biological Psychiatry.

Contrast-Enhanced Ultrasound (CEUS) for the Characterization of Focal Liver Lesions: A Multicentric Retrospective Study

Ioan Sporea, Roxana Sirli, Mirela Danila, 2011 .

Non-invasive Steatosis Assessment through the Computerized Processing of Ultrasound Images: Attenuation versus First Order Texture Parameters

Sergiu Nedevschi, Radu Badea, Monica Lupsor, 2011 .

732 TOWARD INTELLIGENT VIRTUAL BIOPSY: USING ARTIFICIAL INTELLIGENCE TO PREDICT FIBROSIS STAGE IN CHRONIC HEPATITIS C PATIENTS WITHOUT BIOPSY

Radu Badea, Monica Lupsor, Zeno Sparchez, 2008 .

Performance of a new elastographic method (ARFI technology) compared to unidimensional transient elastography in the noninvasive assessment of chronic hepatitis C. Preliminary results.

Radu Badea, Alexandru Serban, Monica Lupsor, 2009, Journal of gastrointestinal and liver diseases : JGLD.

Detection of steatosis in chronic hepatitis C, based on the evaluation of the attenuation coefficient computed on the ultrasound image

Sergiu Nedevschi, Radu Badea, Alexandru Șerban, 2008 .

The Role of the Superior Order GLCM in the Characterization and Recognition of the Liver Tumors from Ultrasound Images

Sergiu Nedevschi, Delia Mitrea, Radu Badea, 2012 .

Fibrosis detection from ultrasound imaging. The influence of necro- inflammatory activity and steatosis over the detection rates

Sergiu Nedevschi, Radu Badea, Cristian Vicas, 2007 .

ARFI quantitative elastography of the submandibular glands. Normal measurements and the diagnosis value of the method in radiation submaxillitis.

Radu Badea, Alexandru Florin Badea, Grigore Băciuţ, 2013, Medical ultrasonography.

Contrast enhanced ultrasound guidance: a new tool to improve accuracy in percutaneous biopsies.

Radu Badea, Ioana Grigorescu, Gabriel Kacso, 2010, Medical ultrasonography.

Computerized methods for the assessment and characterization of the inflammatory bowel diseases and colon cancer from ultrasound and endoscopic images

Delia Mitrea, Radu Badea, Paulina Mitrea, 2011 .

Contrast Enhanced Ultrasound for the evaluation of focal liver lesions in daily practice. A multicentre study.

Ioan Sporea, Alina Popescu, Radu Badea, 2012, Medical ultrasonography.

Contrast enhanced ultrasound for the characterization of focal liver lesions.

Ioan Sporea, Roxana Sirli, Alina Popescu, 2011, Medical ultrasonography.

Texture based characterization and automatic diagnosis of the abdominal tumors from ultrasound images using third order GLCM features

Delia Mitrea, Radu Badea, Mihai Socaciu, 2011, 2011 4th International Congress on Image and Signal Processing.

Intelligent virtual biopsy can predict fibrosis stage in chronic hepatitis C, combining ultrasonographic and laboratory parameters, with 100% accuracy

Radu Badea, Monica Lupsor, Zeno Sparchez, 2008 .

Noninvasive assessment of liver steatosis using ultrasound methods.

Radu Badea, Mira Florea, R. Badea, 2014, Medical ultrasonography.

A new and simple algorithm for the noninvasive assessment of esophageal varices in cirrhotic patients using serum fibrosis markers and transient elastography.

Diana Feier, Radu Badea, Monica Lupsor, 2011, Journal of gastrointestinal and liver diseases : JGLD.

Acoustic Radiation Force Impulse elastography for fibrosis evaluation in patients with chronic hepatitis C: an international multicenter study.

Ioan Sporea, Simona Bota, Roxana Sirli, 2012, European journal of radiology.

Analysis of histopathological changes that influence liver stiffness in chronic hepatitis C. Results from a cohort of 324 patients.

Radu Badea, Alexandru Serban, Z. Sparchez, 2008, Journal of gastrointestinal and liver diseases : JGLD.