Felipe André Zeiser

According to our database, Felipe André Zeiser authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An encoder-decoder deep neural network for binary segmentation of seismic facies.

Gefersom Lima, Felipe André Zeiser, Ariane da Silveira, Sandro José Rigo, Gabriel de Oliveira Ramos

Comput. Geosci., January, 2024

2023

Pleural Effusion Classification on Chest X-Ray Images with Contrastive Learning.

Felipe André Zeiser, Ismael Santos, Henrique Bohn, Cristiano André da Costa, Gabriel de Oliveira Ramos, Rodrigo da Rosa Righi, Andreas Maier, José Rodrigo M. Andrade, Alexandre Bacelar

Proceedings of the 19th International Conference on Web Information Systems and Technologies, 2023

ARTERIAL: A Natural Language Processing Model for Prevention of Information Leakage from Electronic Health Records.

Guilherme Goldschmidt, Felipe André Zeiser, Rodrigo da Rosa Righi, Cristiano André da Costa

Proceedings of the XIII Brazilian Symposium on Computing Systems Engineering, 2023

2022

DeepCADD: A Deep Learning Architecture for Automatic Detection of Coronary Artery Disease.

Samuel A. Freitas, Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

<i>DeepBatch</i>: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images.

Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos, Henrique Bohn, Ismael Santos, Adriana Vial Roehe

Expert Syst. Appl., 2021

Breast cancer intelligent analysis of histopathological data: A systematic review.

Felipe André Zeiser, Cristiano André da Costa, Adriana Vial Roehe, Rodrigo da Rosa Righi, Nuno Marques

Appl. Soft Comput., 2021

Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays.

Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos, Henrique Bohn, Ismael Santos, Rodrigo da Rosa Righi

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020

Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning.

Felipe André Zeiser, Cristiano André da Costa, Tiago Zonta, Nuno M. C. Marques, Adriana Vial Roehe, Marcelo Moreno, Rodrigo da Rosa Righi

J. Digit. Imaging, 2020

Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks.

Gefersom Lima, Gabriel de Oliveira Ramos, Sandro Rigo, Felipe André Zeiser, Ariane da Silveira

CoRR, 2020