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ORCIDDelia Mitrea
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2020 – today
- 2024
[c24]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: 1-6- [c23]Delia Mitrea, Paulina Mitrea, Erik Barna:
Employing Clustering Techniques and Association Rules for Client Segmentation and Attribute Dependency Mining in the Domain of Car Insurance. TFC (2) 2024: 232-246 - 2023
- [j6]Delia Alexandrina Mitrea
, Raluca Brehar, Sergiu Nedevschi, Monica Lupsor Platon, Mihai Adrian Socaciu, Radu Badea:
Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques. Sensors 23(5): 2520 (2023) - [c22]Raluca Didona Brehar, Delia Alexandrina Mitrea, Sergiu Nedevschi, Tudor Moisoiu, Florin Ioan Elec, Mihai Adrian Socaciu:
Kidney Tumor Segmentation and Grade Identification in CT Images. ICCP 2023: 293-300 - [c21]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: 1-6 - [c20]Delia Mitrea, Raluca Brehar, Cristinel Mocan, Sergiu Nedevschi, Mihai Adrian Socaciu, Radu Badea:
Hepatocellular Carcinoma Recognition from Ultrasound Images by Fusing Convolutional Neural Networks at Decision Level. TSP 2023: 238-243 - 2021
- [j5]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): 2202 (2021) - 2020
- [j4]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): 3085 (2020) - [c19]Dan-Sebastian Bacea, Delia Alexandrina Mitrea, Sergiu Nedevschi, Radu Badea:
Adversarial Graph Learning and Deep Learning Techniques for improving diagnosis within CT and Ultrasound images. ICCP 2020: 449-456
2010 – 2019
- 2019
- [c18]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: 1-6 - [c17]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: 483-490 - [c16]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: 491-497 - 2018
- [j3]Delia Mitrea, Levente Tamas:
Manufacturing Execution System Specific Data Analysis-Use Case With a Cobot. IEEE Access 6: 50245-50259 (2018) - [c15]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: 178-189 - [c14]Delia Mitrea, Levente Tamas:
MES Specific Data Analysis. Case Study with the Baxter Robot. SYNASC 2018: 296-301 - 2017
- [c13]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: 1-6 - 2016
- [c12]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 - [c11]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: 698-705 - 2015
- [c10]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: 458-462 - 2014
- [c9]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: 1-5 - [c8]Delia Mitrea, Sergiu Nedevschi, Radu Badea:
Classification of the Liver Tumors using Multiresolution, Superior Order EOCM Textural Features. ICPRAM 2014: 799-804 - 2013
- [c7]Delia Mitrea, Sergiu Nedevschi:
Software System for the Automatic and Computer Aided Diagnosis of the Tumoral Affections, based on Ultrasound Image. RoCHI 2013 - [c6]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: 633-637 - 2012
- [j2]Delia Alexandrina Mitrea, Paulina Mitrea, Sergiu Nedevschi, Radu Badea, Monica Lupsor, Mihai Adrian 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: 348135:1-348135:17 (2012) - [j1]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: 918510:1-918510:11 (2012) - [c5]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: 192-199 - 2011
- [c4]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: 197-204 - [c3]Delia Mitrea, Sergiu Nedevschi, Mihai Adrian 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: 496-509 - [c2]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: 602-606 - 2010
- [c1]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: 215-224
Coauthor Index
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