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2020 – today
- 2024
[c24]Marcelo Dias
, Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Alejandro Pereira, Fernando Ollé:
DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy. SBSI 2024: 57:1-57:9- 2023
- [j9]Carlos Silva, Marilton S. de Aguiar, Daniel Welfer, Marcelo Dias, Alejandro Pereira, Marcelo Ribeiro, Bruno Belloni:
A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture. IEEE Access 11: 43603-43618 (2023) - [c23]Alejandro Pereira, Carlos Silva, Marilton S. de Aguiar, Daniel Welfer, Marcelo Dias, Marcelo Ribeiro, Reza Ahmadi:
Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm. IJCNN 2023: 1-8 - 2022
- [j8]Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Bruno Belloni:
A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model. Sensors 22(17): 6441 (2022) - [c22]Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Marcelo Silva, Alejandro Pereira, Marcelo Ribeiro, Bruno Belloni:
A Method Based on Deep Neural Network for Instance Segmentation of Retinal Lesions Caused by Diabetic Retinopathy. CSCI 2022: 165-171 - 2021
- [c21]Carlos Santos, Marilton S. de Aguiar, Daniel Welfer, Bruno Belloni:
A New Method Based on Deep Learning to Detect Lesions in Retinal Images using YOLOv5. BIBM 2021: 3513-3520 - [c20]Carlos Santos, Marilton Sanchotene de Aguiar, Daniel Welfer, Bruno Belloni:
Detection of Fundus Lesions through a Convolutional Neural Network in Patients with Diabetic Retinopathy. EMBC 2021: 2692-2695 - [c19]Carlos Santos, Marilton Sanchotene de Aguiar, Daniel Welfer, Bruno Belloni:
Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions. IJCNN 2021: 1-8 - [c18]Júlia Schubert Peixoto, Anselmo Rafael Cukla, Daniel Welfer, Daniel Fernando Tello Gamarra:
Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a RNN in the MSRC-12. ISDA 2021: 498-507 - 2020
- [c17]Luiz Daniel Garay Trindade, Fábio Paulo Basso, Elder de Macedo Rodrigues, Maicon Bernardino, Daniel Welfer, Daniel Müller:
Analysis of the Superpixel Slic Algorithm for Increasing Data for Disease Detection Using Deep Learning. ISDA 2020: 488-497 - [c16]Júlia Schubert Peixoto, Miguel Pfitscher, Marco Antônio De Souza Leite Cuadros, Daniel Welfer, Daniel Fernando Tello Gamarra:
Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a CNN in the MSRC-12 Database. ISDA 2020: 590-599
2010 – 2019
- 2019
- [j7]Douglas Henke Dos Reis, Daniel Welfer, Marco Antônio De Souza Leite Cuadros, Daniel Fernando Tello Gamarra:
Mobile Robot Navigation Using an Object Recognition Software with RGBD Images and the YOLO Algorithm. Appl. Artif. Intell. 33(14): 1290-1305 (2019) - [j6]Miguel Pfitscher, Daniel Welfer, Evaristo José Do Nascimento, Marco Antônio De Souza Leite Cuadros, Daniel Fernando Tello Gamarra:
Article Users Activity Gesture Recognition on Kinect Sensor Using Convolutional Neural Networks and FastDTW for Controlling Movements of a Mobile Robot. Inteligencia Artif. 22(63): 121-134 (2019) - [c15]Douglas Henke Dos Reis, Daniel Welfer, Marco Antônio De Souza Leite Cuadros, Daniel Fernando Tello Gamarra:
Object Recognition Software Using RGBD Kinect Images and the YOLO Algorithm for Mobile Robot Navigation. ISDA 2019: 255-263 - [c14]Rômulo Marconato Stringhini, Daniel Welfer, Daniel Fernando Tello Gamarra, Gustavo Nogara Dotto:
Noise Reduction with Detail Preservation in Low-Dose Dental CT Images by Morphological Operators and BM3D. ISDA 2019: 309-317 - [c13]Rômulo Marconato Stringhini, Daniel Welfer, Marcos Cordeiro d'Ornellas, Daniel Fernando Tello Gamarra:
A Mathematical Morphology-Based Filter for Noise Reduction and Detail Preservation in Low-Dose Dental CT Images. MedInfo 2019: 253-257 - [c12]Rômulo Marconato Stringhini, Daniel Welfer, Marcos Cordeiro d'Ornellas, Daniel Fernando Tello Gamarra:
Low-Dose CT Dental Image Denoising by Morphological Operators and 3D Filtering. SIBGRAPI 2019: 54-59 - 2018
- [j5]Carlos Silva, Daniel Welfer, Cláudia Dornelles:
The Pattern Recognition in Cattle Brand using Bag of Visual Words and Support Vector Machines Multi-Class. Inteligencia Artif. 21(61): 1-13 (2018) - [c11]Miguel Pfitscher, Daniel Welfer, Marco Antônio De Souza Leite Cuadros, Daniel Fernando Tello Gamarra:
Activity Gesture Recognition on Kinect Sensor Using Convolutional Neural Networks and FastDTW for the MSRC-12 Dataset. ISDA (1) 2018: 230-239 - [c10]Marcelo Mafalda, Daniel Welfer, Marco Antônio De Souza Leite Cuadros, Daniel Fernando Tello Gamarra:
Image Processing Algorithm to Detect Defects in Optical Fibers. NAFIPS 2018: 243-252 - 2017
- [c9]Carlos Silva, Daniel Welfer, Juliano Weber:
Deep Learning Techniques Applied to the Cattle Brand Recognition. CIARP 2017: 635-642 - [c8]Karine Nóra Dias, Daniel Welfer, Marcos Cordeiro d'Ornellas, Carlos Jesus Pereira Haygert, Gustavo Nogara Dotto:
Use of Flowchart for Automation of Clinical Protocols in mHealth. MedInfo 2017: 59-63 - [c7]Luiza Dri Bagesteiro, Daniel Welfer, Marcos Cordeiro d'Ornellas, Juliano F. Kazienko, Carlos Jesus Pereira Haygert, Gustavo Nogara Dotto:
Locally Adaptive Operators for Red Lesions Detection in Eye Fundus Images. MedInfo 2017: 289-293 - [c6]Allan Cerentini, Daniel Welfer, Marcos Cordeiro d'Ornellas, Carlos Jesus Pereira Haygert, Gustavo Nogara Dotto:
Automatic Identification of Glaucoma Using Deep Learning Methods. MedInfo 2017: 318-321 - [c5]Carlos Jesus Pereira Haygert, Marcos Cordeiro d'Ornellas, Daniel Welfer, Rubens Martins Bastos, Gustavo Nogara Dotto:
CTdBem - A New Protocol for Ultra Low Radiation Dose MDCT. MedInfo 2017: 1029-1032 - 2016
- [c4]Pedro de Moura Garcia, Diego Luis Kreutz, Daniel Welfer:
A Novel Method for Detecting the Fovea in Fundus Images of the Eye. SIBGRAPI 2016: 104-111 - 2014
- [c3]Daniel Welfer, Renato Cassol Ferreira da Silva, Juliano F. Kazienko:
MobiCAP: A mobile application prototype for management of community-acquired pneumonia. Healthcom 2014: 126-127 - [c2]Daniel Welfer, Renato Cassol Ferreira da Silva, Juliano F. Kazienko:
A mobile application system for diagnosis and management of Community-Acquired Pneumonia. Healthcom 2014: 341-346 - 2013
- [j4]Daniel Welfer, Jacob Scharcanski, Diane Ruschel Marinho:
A morphologic two-stage approach for automated optic disk detection in color eye fundus images. Pattern Recognit. Lett. 34(5): 476-485 (2013) - 2011
- [b1]Daniel Welfer:
Métodos computacionais para identificar automaticamente estruturas da retina e quantificar a severidade do edema macular diabético em imagens de fundo de olho. Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, 2011 - [j3]Daniel Welfer, Jacob Scharcanski, Diane Ruschel Marinho:
Fovea center detection based on the retina anatomy and mathematical morphology. Comput. Methods Programs Biomed. 104(3): 397-409 (2011) - 2010
- [j2]Daniel Welfer, Jacob Scharcanski, Cleyson M. Kitamura, Melissa M. Dal Pizzol, Laura W. B. Ludwig, Diane Ruschel Marinho:
Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach. Comput. Biol. Medicine 40(2): 124-137 (2010) - [j1]Daniel Welfer, Jacob Scharcanski, Diane Ruschel Marinho:
A coarse-to-fine strategy for automatically detecting exudates in color eye fundus images. Comput. Medical Imaging Graph. 34(3): 228-235 (2010) - [c1]Daniel Welfer, Jacob Scharcanski, Diane Ruschel Marinho:
A morphologic three-stage approach for detecting exudates in color eye fundus images. SAC 2010: 964-968
Coauthor Index
aka: Marilton Sanchotene de Aguiar
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