Angelo Amâncio Duarte

According to our database, Angelo Amâncio Duarte authored at least 12 papers between 2007 and 2024.

Collaborative distances:

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

2024

Glomerulosclerosis detection with pre-trained CNNs ensemble.

Justino Santos, Romuere R. V. Silva, Luciano Oliveira, Washington L. C. dos-Santos, Nayze Aldeman, Angelo Amâncio Duarte, Rodrigo Veras

Comput. Stat., April, 2024

2023

Mouse-to-human transfer learning for glomerulus segmentation.

Luiz Souza, Jefferson Silva, Paulo Chagas, Angelo Amâncio Duarte, Washington L. C. dos-Santos, Luciano Oliveira

Comput. methods Biomech. Biomed. Eng. Imaging Vis., September, 2023

Uncertainty-aware membranous nephropathy classification: A Monte-Carlo dropout approach to detect how certain is the model.

Paulo Chagas, Luiz Souza, Izabelle Pontes, Rodrigo Tripodi Calumby, Michele F. Angelo, Angelo Amâncio Duarte, Washington L. C. dos-Santos, Luciano Oliveira

Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

2022

Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization.

Jefferson Silva, Luiz Souza, Paulo Chagas, Rodrigo Tripodi Calumby, Bianca Souza, Izabelle Pontes, Angelo Amâncio Duarte, Nathanael Pinheiro, Washington L. C. dos-Santos, Luciano Oliveira

Comput. Medical Imaging Graph., 2022

PodNet: Ensemble-based Classification of Podocytopathy on Kidney Glomerular Images.

George Oliveira Barros, David Campos Wanderley, Luciano Rebouças de Oliveira, Washington L. C. dos-Santos, Angelo Amâncio Duarte, Flavio de Barros Vidal

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Glomerulosclerosis Identification Using a Modified Dense Convolutional Network.

Justino Santos, Vinícius P. Machado, Luciano Oliveira, Washington L. C. dos-Santos, Nayze Aldeman, Angelo Amâncio Duarte, Rodrigo Veras

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images.

Justino Santos, Rodrigo de Melo Souza Veras, Romuere R. V. Silva, Nayze Aldeman, Flávio H. D. Araújo, Angelo Amâncio Duarte, João Manuel R. S. Tavares

Biomed. Signal Process. Control., 2021

Automatic glomerulus detection in renal histological images.

Jonathan Moreira Cardozo Rehem, Washington Luís Conrado dos Santos, Angelo Amâncio Duarte, Luciano Rebouças de Oliveira, Michele Fúlvia Angelo

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

2020

Classification of glomerular hypercellularity using convolutional features and support vector machine.

Paulo Chagas, Luiz Souza, Ikaro Araújo, Nayze Aldeman, Angelo Amâncio Duarte, Michele F. Angelo, Washington L. C. dos-Santos, Luciano Oliveira

Artif. Intell. Medicine, 2020

2017

A comment on the paper Prediction of Kidney Function from Biopsy Images using Convolutional Neural Networks.

Washington L. C. dos-Santos, Angelo Amâncio Duarte, Luiz A. R. de Freitas

CoRR, 2017

2016

New Approach to Calculate Adiabatic Curves of Bound States and Reactive Scattering in Quantum Chemistry Problems.

Fernanda Castelo Branco de Santana, Angelo Amâncio Duarte, Mirco Ragni, Ana Carla Peixoto Bitencourt, Herman Augusto Lepikson

Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

2007

RADIC: a powerful fault-tolerant architecture.

Angelo Amâncio Duarte

PhD thesis, 2007