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Mihai Adrian Socaciu
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2020 – today
- 2024
- [c6]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 - 2023
- [j4]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) - [c5]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 - [c4]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 - [c3]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 - 2022
- [j3]Radu Chifor, Mircea Hotoleanu, Tiberiu Marita, Tudor Arsenescu, Mihai Adrian Socaciu, Iulia-Clara Badea, Ioana Chifor:
Automatic Segmentation of Periodontal Tissue Ultrasound Images with Artificial Intelligence: A Novel Method for Improving Dataset Quality. Sensors 22(19): 7101 (2022)
2010 – 2019
- 2012
- [j2]Cristian Vicas, Monica Lupsor, Mihai Adrian 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: 346713:1-346713:9 (2012) - [j1]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) - 2011
- [c2]Cristian Vicas, Monica Lupsor, Mihai Adrian 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: 205-212 - [c1]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
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