A morphologic three-stage approach for detecting exudates in color eye fundus images. - Daniel Welfer; Jacob Scharcanski; Diane Ruschel Marinho (SAC, 2010)

Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach. - Daniel Welfer; Jacob Scharcanski; Cleyson M. Kitamura; Melissa M. Dal Pizzol; Laura W. B. Ludwig; Diane Ruschel Marinho (Comput. Biol. Medicine, 2010)

A coarse-to-fine strategy for automatically detecting exudates in color eye fundus images. - Daniel Welfer; Jacob Scharcanski; Diane Ruschel Marinho (Comput. Medical Imaging Graph., 2010)

Fovea center detection based on the retina anatomy and mathematical morphology. - Daniel Welfer; Jacob Scharcanski; Diane Ruschel Marinho (Comput. Methods Programs Biomed., 2011)

Métodos computacionais para identificar automaticamente estruturas da retina e quantificar a severidade do edema macular diabético em imagens de fundo de olho. - Daniel Welfer (2011)

A morphologic two-stage approach for automated optic disk detection in color eye fundus images. - Daniel Welfer; Jacob Scharcanski; Diane Ruschel Marinho (Pattern Recognit. Lett., 2013)

MobiCAP: A mobile application prototype for management of community-acquired pneumonia. - Daniel Welfer; Renato Cassol Ferreira da Silva; Juliano F. Kazienko (Healthcom, 2014)

A mobile application system for diagnosis and management of Community-Acquired Pneumonia. - Daniel Welfer; Renato Cassol Ferreira da Silva; Juliano F. Kazienko (Healthcom, 2014)

A Novel Method for Detecting the Fovea in Fundus Images of the Eye. - Pedro de Moura Garcia; Diego Luis Kreutz; Daniel Welfer (SIBGRAPI, 2016)

Deep Learning Techniques Applied to the Cattle Brand Recognition. - Carlos Silva 003; Daniel Welfer; Juliano Weber (CIARP, 2017)

Locally Adaptive Operators for Red Lesions Detection in Eye Fundus Images. - Luiza Dri Bagesteiro; Daniel Welfer; Marcos Cordeiro d'Ornellas; Juliano F. Kazienko; Carlos Jesus Pereira Haygert; Gustavo Nogara Dotto (MedInfo, 2017)

Automatic Identification of Glaucoma Using Deep Learning Methods. - Allan Cerentini; Daniel Welfer; Marcos Cordeiro d'Ornellas; Carlos Jesus Pereira Haygert; Gustavo Nogara Dotto (MedInfo, 2017)

Use of Flowchart for Automation of Clinical Protocols in mHealth. - Karine Nóra Dias; Daniel Welfer; Marcos Cordeiro d'Ornellas; Carlos Jesus Pereira Haygert; Gustavo Nogara Dotto (MedInfo, 2017)

CTdBem - A New Protocol for Ultra Low Radiation Dose MDCT. - Carlos Jesus Pereira Haygert; Marcos Cordeiro d'Ornellas; Daniel Welfer; Rubens Martins Bastos; Gustavo Nogara Dotto (MedInfo, 2017)

Activity Gesture Recognition on Kinect Sensor Using Convolutional Neural Networks and FastDTW for the MSRC-12 Dataset. - Miguel Pfitscher; Daniel Welfer; Marco Antônio De Souza Leite Cuadros; Daniel Fernando Tello Gamarra (ISDA (1), 2018)

Image Processing Algorithm to Detect Defects in Optical Fibers. - Marcelo Mafalda; Daniel Welfer; Marco Antônio De Souza Leite Cuadros; Daniel Fernando Tello Gamarra (NAFIPS, 2018)

The Pattern Recognition in Cattle Brand using Bag of Visual Words and Support Vector Machines Multi-Class. - Carlos Silva 003; Daniel Welfer; Cláudia Dornelles (Inteligencia Artif., 2018)

Object Recognition Software Using RGBD Kinect Images and the YOLO Algorithm for Mobile Robot Navigation. - Douglas Henke Dos Reis; Daniel Welfer; Marco Antônio De Souza Leite Cuadros; Daniel Fernando Tello Gamarra (ISDA, 2019)

Noise Reduction with Detail Preservation in Low-Dose Dental CT Images by Morphological Operators and BM3D. - Rômulo Marconato Stringhini; Daniel Welfer; Daniel Fernando Tello Gamarra; Gustavo Nogara Dotto (ISDA, 2019)

A Mathematical Morphology-Based Filter for Noise Reduction and Detail Preservation in Low-Dose Dental CT Images. - Rômulo Marconato Stringhini; Daniel Welfer; Marcos Cordeiro d'Ornellas; Daniel Fernando Tello Gamarra (MedInfo, 2019)

Low-Dose CT Dental Image Denoising by Morphological Operators and 3D Filtering. - Rômulo Marconato Stringhini; Daniel Welfer; Marcos Cordeiro d'Ornellas; Daniel Fernando Tello Gamarra (SIBGRAPI, 2019)

Mobile Robot Navigation Using an Object Recognition Software with RGBD Images and the YOLO Algorithm. - Douglas Henke Dos Reis; Daniel Welfer; Marco Antônio De Souza Leite Cuadros; Daniel Fernando Tello Gamarra (Appl. Artif. Intell., 2019)

Article Users Activity Gesture Recognition on Kinect Sensor Using Convolutional Neural Networks and FastDTW for Controlling Movements of a Mobile Robot. - Miguel Pfitscher; Daniel Welfer; Evaristo José Do Nascimento; Marco Antônio De Souza Leite Cuadros; Daniel Fernando Tello Gamarra (Inteligencia Artif., 2019)

Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a CNN in the MSRC-12 Database. - Júlia Schubert Peixoto; Miguel Pfitscher; Marco Antônio De Souza Leite Cuadros; Daniel Welfer; Daniel Fernando Tello Gamarra (ISDA, 2020)

Analysis of the Superpixel Slic Algorithm for Increasing Data for Disease Detection Using Deep Learning. - Luiz Daniel Garay Trindade; Fábio Paulo Basso; Elder de Macedo Rodrigues; Maicon Bernardino; Daniel Welfer; Daniel Müller (ISDA, 2020)

A New Method Based on Deep Learning to Detect Lesions in Retinal Images using YOLOv5. - Carlos Santos 007; Marilton S. de Aguiar; Daniel Welfer; Bruno Belloni (BIBM, 2021)

Detection of Fundus Lesions through a Convolutional Neural Network in Patients with Diabetic Retinopathy. - Carlos Santos 007; Marilton Sanchotene de Aguiar; Daniel Welfer; Bruno Belloni (EMBC, 2021)

Deep Neural Network Model based on One-Stage Detector for Identifying Fundus Lesions. - Carlos Santos 007; Marilton Sanchotene de Aguiar; Daniel Welfer; Bruno Belloni (IJCNN, 2021)

Comparison of Different Processing Methods of Joint Coordinates Features for Gesture Recognition with a RNN in the MSRC-12. - Júlia Schubert Peixoto; Anselmo Rafael Cukla; Daniel Welfer; Daniel Fernando Tello Gamarra (ISDA, 2021)

A Method Based on Deep Neural Network for Instance Segmentation of Retinal Lesions Caused by Diabetic Retinopathy. - Carlos Santos 007; Marilton S. de Aguiar; Daniel Welfer; Marcelo Silva; Alejandro Pereira; Marcelo Ribeiro; Bruno Belloni (CSCI, 2022)

A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model. - Carlos Santos 007; Marilton S. de Aguiar; Daniel Welfer; Bruno Belloni (Sensors, 2022)

Detection of retinal microlesions through YOLOR-CSP architecture and image slicing with the SAHI algorithm. - Alejandro Pereira; Carlos Silva 003; Marilton S. de Aguiar; Daniel Welfer; Marcelo Dias; Marcelo Ribeiro; Reza Ahmadi (IJCNN, 2023)

A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture. - Carlos Silva 003; Marilton S. de Aguiar; Daniel Welfer; Marcelo Dias; Alejandro Pereira; Marcelo Ribeiro; Bruno Belloni (IEEE Access, 2023)

An Improved Approach for Semantic Segmentation of Fundus Lesions using R2U-Net. - Alejandro Pereira; Carlos Santos 007; Marilton S. de Aguiar; Daniel Welfer; Marcelo Dias; Rafaela de Menezes; Paulo Roberto Ferreira; Fábio D. Rossi; Marcos Cordeiro d'Ornellas; Carlos Jesus Pereira Haygert; Juliano F. Kazienko; Fábio Comim; et al. (EMBC, 2024)

DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy. - Marcelo Dias; Carlos Santos 007; Marilton S. de Aguiar; Daniel Welfer; Alejandro Pereira; Fernando Ollé (SBSI, 2024)

On the Performance of Cyber-Biomedical Features for Intrusion Detection in Healthcare 5.0. - Pedro H. Lui; Lucas P. Siqueira; Juliano F. Kazienko; Vagner Ereno Quincozes; Silvio E. Quincozes; Daniel Welfer (CoRR, 2025)