Mihai Adrian Socaciu

According to our database, Mihai Adrian Socaciu authored at least 10 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Pancreatic Tumor Recognition from CT Images through Advanced Deep Learning Techniques.

Delia Mitrea, Raluca Brehar, Razvan Itu, Sergiu Nedevschi, Mihai Adrian Socaciu, Radu Badea

Proceedings of the IEEE International Conference on Automation, 2024

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, March, 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

Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 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

Proceedings of the 9th International Conference on Systems and Informatics, 2023

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

Proceedings of the 19th IEEE International Conference on Intelligent Computer Communication and Processing, 2023

2022

Automatic Segmentation of Periodontal Tissue Ultrasound Images with Artificial Intelligence: A Novel Method for Improving Dataset Quality.

Radu Chifor, Mircea Hotoleanu, Tiberiu Marita, Tudor Arsenescu, Mihai Adrian Socaciu, Iulia-Clara Badea, Ioana Chifor

Sensors, 2022

2012

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

Cristian Vicas, Monica Lupsor, Mihai Adrian Socaciu, Sergiu Nedevschi, Radu Badea

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

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

Proceedings of the Digital Information Processing and Communications, 2011

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

Cristian Vicas, Monica Lupsor, Mihai Adrian Socaciu, Radu Badea, Sergiu Nedevschi

Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2011