Daniel Welfer

Orcid: 0000-0003-1560-423X

According to our database1, Daniel Welfer authored at least 34 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy.
Proceedings of the 20th Brazilian Symposium on Information Systems, 2024

2023
A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture.
IEEE Access, 2023

Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model.
Sensors, 2022

A Method Based on Deep Neural Network for Instance Segmentation of Retinal Lesions Caused by Diabetic Retinopathy.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021
Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a RNN in the MSRC-12.
Proceedings of the Intelligent Systems Design and Applications, 2021

Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions.
Proceedings of the International Joint Conference on Neural Networks, 2021

Detection of Fundus Lesions through a Convolutional Neural Network in Patients with Diabetic Retinopathy.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A New Method Based on Deep Learning to Detect Lesions in Retinal Images using YOLOv5.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Analysis of the Superpixel Slic Algorithm for Increasing Data for Disease Detection Using Deep Learning.
Proceedings of the Intelligent Systems Design and Applications, 2020

Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a CNN in the MSRC-12 Database.
Proceedings of the Intelligent Systems Design and Applications, 2020

2019
Article Users Activity Gesture Recognition on Kinect Sensor Using Convolutional Neural Networks and FastDTW for Controlling Movements of a Mobile Robot.
Inteligencia Artif., 2019

Mobile Robot Navigation Using an Object Recognition Software with RGBD Images and the YOLO Algorithm.
Appl. Artif. Intell., 2019

Low-Dose CT Dental Image Denoising by Morphological Operators and 3D Filtering.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

A Mathematical Morphology-Based Filter for Noise Reduction and Detail Preservation in Low-Dose Dental CT Images.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Noise Reduction with Detail Preservation in Low-Dose Dental CT Images by Morphological Operators and BM3D.
Proceedings of the Intelligent Systems Design and Applications, 2019

Object Recognition Software Using RGBD Kinect Images and the YOLO Algorithm for Mobile Robot Navigation.
Proceedings of the Intelligent Systems Design and Applications, 2019

2018
The Pattern Recognition in Cattle Brand using Bag of Visual Words and Support Vector Machines Multi-Class.
Inteligencia Artif., 2018

Image Processing Algorithm to Detect Defects in Optical Fibers.
Proceedings of the Fuzzy Information Processing, 2018

Activity Gesture Recognition on Kinect Sensor Using Convolutional Neural Networks and FastDTW for the MSRC-12 Dataset.
Proceedings of the Intelligent Systems Design and Applications, 2018

2017
CTdBem - A New Protocol for Ultra Low Radiation Dose MDCT.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Use of Flowchart for Automation of Clinical Protocols in mHealth.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Automatic Identification of Glaucoma Using Deep Learning Methods.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Locally Adaptive Operators for Red Lesions Detection in Eye Fundus Images.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Deep Learning Techniques Applied to the Cattle Brand Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016
A Novel Method for Detecting the Fovea in Fundus Images of the Eye.
Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

2014
A mobile application system for diagnosis and management of Community-Acquired Pneumonia.
Proceedings of the 16th IEEE International Conference on e-Health Networking, 2014

MobiCAP: A mobile application prototype for management of community-acquired pneumonia.
Proceedings of the 16th IEEE International Conference on e-Health Networking, 2014

2013
A morphologic two-stage approach for automated optic disk detection in color eye fundus images.
Pattern Recognit. Lett., 2013

2011
Métodos computacionais para identificar automaticamente estruturas da retina e quantificar a severidade do edema macular diabético em imagens de fundo de olho.
PhD thesis, 2011

Fovea center detection based on the retina anatomy and mathematical morphology.
Comput. Methods Programs Biomed., 2011

2010
A coarse-to-fine strategy for automatically detecting exudates in color eye fundus images.
Comput. Medical Imaging Graph., 2010

Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach.
Comput. Biol. Medicine, 2010

A morphologic three-stage approach for detecting exudates in color eye fundus images.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010


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