Delia Alexandrina Mitrea

Delia Alexandrina Mitrea

Researcher
Web of ScienceScopusGoogle Scholar
2020OpenAlex automated

Adversarial Graph Learning and Deep Learning Techniques for improving diagnosis within CT and Ultrasound images

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2020OpenAlex automated

Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images

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2012OpenAlex automated

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

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2021OpenAlex automated

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

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2023OpenAlex automated

Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques

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2012OpenAlex automated

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

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2018OpenAlex automated

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

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2020OpenAlex automated

Integration of Real-Time Image Fusion in the Robotic-Assisted Treatment of Hepatocellular Carcinoma

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2012OpenAlex automated

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

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2016OpenAlex automated

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

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2023OpenAlex automated

Deep Learning Techniques for Liver Tumor Recognition in Ultrasound Images

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2016OpenAlex automated

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

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2016OpenAlex automated

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

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2015OpenAlex automated

Classification of the liver tumors Using Co-Occurrence Matrices of textural Microstructures

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