Luis Souza

Orcid: 0000-0002-7060-6097

Affiliations:
  • Federal University of São Carlos, Brazil


According to our database1, Luis Souza authored at least 16 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett's esophagus.
Neural Comput. Appl., 2024

2023
Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation.
Comput. Biol. Medicine, March, 2023

2022
A fuzzy distance-based ensemble of deep models for cervical cancer detection.
Comput. Methods Programs Biomed., 2022

2021
Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis.
CoRR, 2021

Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box.
Comput. Biol. Medicine, 2021

Fine-tuning Generative Adversarial Networks using Metaheuristics - A Case Study on Barrett's Esophagus Identification.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Semi-supervised Segmentation Based on Error-correcting Supervision.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020
Learning visual representations with optimum-path forest and its applications to Barrett's esophagus and adenocarcinoma diagnosis.
Neural Comput. Appl., 2020

Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks.
Comput. Biol. Medicine, 2020

Semi-supervised Segmentation Based on Error-Correcting Supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Barrett's esophagus analysis using infinity Restricted Boltzmann Machines.
J. Vis. Commun. Image Represent., 2019

2018
A survey on Barrett's esophagus analysis using machine learning.
Comput. Biol. Medicine, 2018

Barrett's Esophagus Identification Using Color Co-Occurrence Matrices.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

2017
Barrett's Esophagus Identification Using Optimum-Path Forest.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

A Scale-Space Approach for Multiscale Shape Analysis.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Barrett's Esophagus Analysis Using SURF Features.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017


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