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Monica Lupsor Platon
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Journal Articles
- 2023
- [j7]Delia Alexandrina Mitrea
, Raluca Brehar
Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques. Sensors 23(5): 2520 (2023) - 2020
- [j6]Raluca Brehar
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) - 2013
- [j5]Alexandru Florin Badea, Monica Lupsor Platon
Fractal Analysis of Elastographic Images for Automatic Detection of Diffuse Diseases of Salivary Glands: Preliminary Results. Comput. Math. Methods Medicine 2013: 347238:1-347238:6 (2013) - 2012
- [j4]Cristian Vicas
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) - [j3]Delia Alexandrina Mitrea, Paulina Mitrea, Sergiu Nedevschi
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
- [j2]Ruxandra Stoean
Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C. Artif. Intell. Medicine 51(1): 53-65 (2011) - [j1]Catalin Stoean
Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis. Comput. Biol. Medicine 41(4): 238-246 (2011)
Conference and Workshop Papers
- 2019
- [c7]Delia Mitrea, Sergiu Nedevschi
HCC Recognition Within Ultrasound Images Employing Advanced Textural Features with Deep Learning Techniques. CISP-BMEI 2019: 1-6 - [c6]Raluca Brehar
Hepatocellular Carcinoma Recognition in Ultrasound Images Using Textural Descriptors and Classical Machine Learning. ICCP 2019: 491-497 - 2017
- [c5]Delia Mitrea, Sergiu Nedevschi
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 - [c4]Cristian Vicas
Deep convolutional neural nets for objective steatosis detection from liver samples. ICCP 2017: 385-390 - 2016
- [c3]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 - 2013
- [c2]Delia Mitrea, Monica Lupsor Platon
Discovering the cirrhosis grades from ultrasound images by using textural features and clustering methods. TSP 2013: 633-637 - 2011
- [c1]Cristian Vicas
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
Coauthor Index
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