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Felipe André Zeiser
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2020 – today
- 2024
- [j5]Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos, Andreas K. Maier, Rodrigo da Rosa Righi:
CheXReport: A transformer-based architecture to generate chest X-ray reports suggestions. Expert Syst. Appl. 255: 124644 (2024) - [j4]Gefersom Lima, Felipe André Zeiser, Ariane da Silveira, Sandro José Rigo, Gabriel de Oliveira Ramos:
An encoder-decoder deep neural network for binary segmentation of seismic facies. Comput. Geosci. 183: 105507 (2024) - [c5]Luis Claudio Gubert, Felipe André Zeiser, Cristiano André da Costa, Rafael Kunst:
Classification and Prediction of Hypoglycemia in Patients with Type 2 Diabetes Mellitus Using Data from the EHR and Patient Context. IoTBDS 2024: 276-283 - 2023
- [c4]Guilherme Goldschmidt, Felipe André Zeiser, Rodrigo da Rosa Righi, Cristiano André da Costa:
ARTERIAL: A Natural Language Processing Model for Prevention of Information Leakage from Electronic Health Records. SBESC 2023: 1-6 - [c3]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:
Pleural Effusion Classification on Chest X-Ray Images with Contrastive Learning. WEBIST 2023: 399-405 - 2022
- [c2]Samuel A. Freitas, Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos:
DeepCADD: A Deep Learning Architecture for Automatic Detection of Coronary Artery Disease. IJCNN 2022: 1-8 - 2021
- [j3]Felipe André Zeiser, Cristiano André da Costa, Adriana Vial Roehe, Rodrigo da Rosa Righi, Nuno Marques:
Breast cancer intelligent analysis of histopathological data: A systematic review. Appl. Soft Comput. 113(Part): 107886 (2021) - [j2]Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos, Henrique Bohn, Ismael Santos, Adriana Vial Roehe:
DeepBatch: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images. Expert Syst. Appl. 185: 115586 (2021) - [c1]Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos, Henrique Bohn, Ismael Santos, Rodrigo da Rosa Righi:
Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays. BRACIS (2) 2021: 121-132 - [i2]Felipe André Zeiser, Cristiano André da Costa, Gabriel de Oliveira Ramos, Henrique Bohn, Ismael Santos, Rodrigo da Rosa Righi:
Evaluation of Convolutional Neural Networks for COVID-19 Classification on Chest X-Rays. CoRR abs/2109.02415 (2021) - 2020
- [j1]Felipe André Zeiser, Cristiano André da Costa, Tiago Zonta, Nuno M. C. Marques, Adriana Vial Roehe, Marcelo Moreno, Rodrigo da Rosa Righi:
Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning. J. Digit. Imaging 33(4): 858-868 (2020) - [i1]Gefersom Lima, Gabriel de Oliveira Ramos, Sandro Rigo, Felipe André Zeiser, Ariane da Silveira:
Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks. CoRR abs/2012.03675 (2020)
Coauthor Index
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last updated on 2024-08-05 20:18 CEST by the dblp team
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