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)

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)

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)