Mário Dinis-Ribeiro

Orcid: 0000-0003-0121-6850

According to our database1, Mário Dinis-Ribeiro authored at least 23 papers between 2009 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Foundational Models for Pathology and Endoscopy Images: Application for Gastric Inflammation.
CoRR, 2024

2023
Diagnostic Performance of Deep Learning Models for Gastric Intestinal Metaplasia Detection in Narrow-band Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Research Challenges for Augmenting Endoscopy Image Datasets using Image Combination Methodologies.
Proceedings of the CENTERIS 2023 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2023

Fractal Bilinear Deep Neural Network Models for Gastric Intestinal Metaplasia Detection.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
Author Correction: A novel AI device for real-time optical characterization of colorectal polyps.
npj Digit. Medicine, 2022

A novel AI device for real-time optical characterization of colorectal polyps.
npj Digit. Medicine, 2022

Preliminary Study of Deep Learning Algorithms for Metaplasia Detection in Upper Gastrointestinal Endoscopy.
Proceedings of the Wireless Mobile Communication and Healthcare, 2022

Supervised and semi-supervised training of deep convolutional neural networks for gastric landmark detection.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Analysis of classification tradeoff in deep learning for gastric cancer detection.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2017
Content-Adaptive Region-Based Color Texture Descriptors for Medical Images.
IEEE J. Biomed. Health Informatics, 2017

2015
Identifying technology interaction opportunities within a gastroenterology exam room.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

2014
Local self similar descriptors: Comparison and application to gastroenterology images.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Impact of Visual Features on the Segmentation of Gastroenterology Images Using Normalized Cuts.
IEEE Trans. Biomed. Eng., 2013

A DFT based rotation and scale invariant Gabor texture descriptor and its application to gastroenterology.
Proceedings of the IEEE International Conference on Image Processing, 2013

Integral scale histogram local binary patterns for classification of narrow-band gastroenterology images.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Impact of SVM multiclass decomposition rules for recognition of cancer in gastroenterology images.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

Segmentation of gastroenterology images: A comparison between clustering and fitting models approaches.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2012
Invariant Gabor Texture Descriptors for Classification of Gastroenterology Images.
IEEE Trans. Biomed. Eng., 2012

2011
Gabor textons for classification of gastroenterology images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Identifying Potentially Cancerous Tissues in Chromoendoscopy Images.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

2010
Determinants of frequency and longevity of hospital encounters' data use.
BMC Medical Informatics Decis. Mak., 2010

2009
Semantic relevance of current image segmentation algorithms.
Proceedings of the 10th Workshop on Image Analysis for Multimedia Interactive Services, 2009

IDentifying cancer regions in vital-stained magnification endoscopy images using adapted color histograms.
Proceedings of the International Conference on Image Processing, 2009


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