Rui Tato Marinho

Orcid: 0000-0003-1327-3537

According to our database1, Rui Tato Marinho authored at least 11 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2018
Author Correction to: Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization.
J. Medical Syst., 2018

Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm.
Comput. Methods Programs Biomed., 2018

2017
Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization.
J. Medical Syst., 2017

2016
Automated stratification of liver disease in ultrasound: An online accurate feature classification paradigm.
Comput. Methods Programs Biomed., 2016

2014
An Ultrasound-Based Computer-Aided Diagnosis Tool for Steatosis Detection.
IEEE J. Biomed. Health Informatics, 2014

2013
Classification and Staging of Chronic Liver Disease From Multimodal Data.
IEEE Trans. Biomed. Eng., 2013

Cirrhosis Prognostic Quantification with Ultrasound: An Approximation to Model for End-Stage Liver Disease.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2012
Global and local detection of liver steatosis from ultrasound.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Chronic liver disease staging classification based on ultrasound, clinical and laboratorial data.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Diffuse Liver Disease Classification from Ultrasound Surface Characterization, Clinical and Laboratorial Data.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

The usefulness of ultrasound in the classification of chronic liver disease.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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