João F. Mari

According to our database, João F. Mari authored at least 24 papers between 2007 and 2025.

Collaborative distances:

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

2025

Exploiting Data Augmentation Strategies to Improve the Classification of Spinal Disorders in X-Ray Images.

João Flávio Martins Pereira, João Fernando Mari, Leandro Henrique Furtado Pinto Silva

RITA, 2025

Identifying Malignant Skin Diseases Through Deep Learning.

Gabriel Sávio de Lima Mota, Matheus Vieira da Silva, João Fernando Mari, André Ricardo Backes

RITA, 2025

Evaluating Deep Learning Models for Effective Weed Classification in Agricultural Images.

Bianca Panacho Ferreira, Pedro Henrique Campos Moreira, Leandro Henrique Furtado Pinto Silva, João Fernando Mari

RITA, 2025

Classification of Agricultural Pests Through Digital Images Using Deep Learning.

Pedro Lucas De Oliveira Costa, Thiago Matheus De Oliveira Costa, Larissa Ferreira Rodrigues Moreira, Leandro Henrique Furtado Pinto Silva, João Fernando Mari

RITA, 2025

Evaluating Combinations of Optimizers and Loss Functions for Cloud Removal Using Diffusion Models.

Leandro Henrique Furtado Pinto Silva, João Fernando Mari, Maurício C. Escarpinati, André R. Backes

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

Breast Cancer Image Classification Using Deep Learning and Test-Time Augmentation.

João Fernando Mari, Larissa Ferreira Rodrigues Moreira, Leandro Henrique Furtado Pinto Silva, Maurício C. Escarpinati, André R. Backes

Proceedings of the 20th International Joint Conference on Computer Vision, 2025

2024

Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images.

Leonardo Gabriel Ferreira Rodrigues, Danilo Ferreira da Silva, Larissa Ferreira Rodrigues, João Fernando Mari

CoRR, 2024

Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks.

Victor Júnio Alcântara Cardoso, Rodrigo Moreira, João Fernando Mari, Larissa Ferreira Rodrigues Moreira

CoRR, 2024

Evaluating Multiple Combinations of Models and Encoders to Segment Clouds in Satellite Images.

Jocsan Ribeiro da Luz Ferreira, Leandro Henrique Furtado Pinto Silva, Maurício Cunha Escarpinati, André Ricardo Backes, João Fernando Mari

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Optimizing CleanUNet Architecture Parameters for Enhancing Speech Denoising.

Matheus Vieira da Silva, João Fernando Mari, André Ricardo Backes

Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024

2023

Generating synthetic multispectral images using neural style transfer: A study with application in channel alignment.

Matheus Vieira da Silva, Leandro H. F. P. Silva, Jocival Dantas Dias Junior, Maurício Cunha Escarpinati, André Ricardo Backes, João Fernando Mari

Comput. Electron. Agric., March, 2023

Evaluation of U-Net Backbones for Cloud Segmentation in Satellite Images.

Laura G. M. Arakaki, Leandro H. F. P. Silva, Matheus Vieira da Silva, Bruno M. Melo, André R. Backes, Maurício C. Escarpinati, João Fernando Mari

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

2022

Non-Linear co-registration in UAVs' images using deep learning.

Leandro Henrique Furtado Pinto Silva, Jocival Dantas Dias Junior, João Fernando Mari, Maurício Cunha Escarpinati, André Ricardo Backes

Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022

2021

Non-linear Distortion Recognition in UAVs' Images using Deep Learning.

Leandro H. F. P. Silva, Jocival D. Dias Jr, Jean Fabrício Batista Santos, João F. Mari, Maurício C. Escarpinati, André R. Backes

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020

Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images.

Larissa Ferreira Rodrigues, Murilo Coelho Naldi, João Fernando Mari

Comput. Biol. Medicine, 2020

2018

Topological Mapping of Neurons using Activities Detected in MEA Recording Signals.

José Roberto Campos, José Hiroki Saito, João Fernando Mari, Francisco Fambrini, Luís Mariano del Val Cura, Eduardo Rafael Lappa Rodriguez

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

2017

Exploiting Convolutional Neural Networks and Preprocessing Techniques for HEp-2 Cell Classification in Immunofluorescence Images.

Larissa Ferreira Rodrigues, Murilo Coelho Naldi, João Fernando Mari

Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

2015

Análise quantitativa de culturas de neurônios em matrizes de microeletrodos por meio do processamento de imagens de microscopia confocal de fluorescência.

João Fernando Mari

PhD thesis, 2015

Quantitative Analysis of Rat Dorsal Root Ganglion Neurons Cultured on Microelectrode Arrays Based on Fluorescence Microscopy Image Processing.

João F. Mari, José Hiroki Saito, Amanda Ferreira Neves, Celina Monteiro da Cruz Lotufo, João-Batista Destro-Filho, Maria do Carmo Nicoletti

Int. J. Neural Syst., 2015

2013

Simulated Activation Patterns of Biological Neurons Cultured onto a Multi-Electrode Array Based on a Modified Izhikevich's Model.

José Hiroki Saito, João F. Mari, Emerson Carlos Pedrino, João-Batista Destro-Filho, Maria C. Nicoletti

Fundam. Informaticae, 2013

2008

Processing Neocognitron of Face Recognition on High Performance Environment Based on GPU with CUDA Architecture.

Gustavo Poli, José Hiroki Saito, João F. Mari, Marcelo R. Zorzan

Proceedings of the 20th International Symposium on Computer Architecture and High Performance Computing, 2008

Improving the neural meshes algorithm for 3D surface reconstruction with edge swap operations.

João F. Mari, José Hiroki Saito, Gustavo Poli, Marcelo R. Zorzan, Alexandre L. M. Levada

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Neural network based systems for computer-aided musical composition: supervised x unsupervised learning.

Débora C. Corrêa, Alexandre L. M. Levada, José Hiroki Saito, João F. Mari

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

2007

Voice Command Recognition with Dynamic Time Warping (DTW) using Graphics Processing Units (GPU) with Compute Unified Device Architecture (CUDA).

Gustavo Poli, João F. Mari, José Hiroki Saito, Alexandre L. M. Levada

Proceedings of the 19th Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2007), 2007