Matheus Alberto de Oliveira Ribeiro

According to our database, Matheus Alberto de Oliveira Ribeiro authored at least 13 papers between 2017 and 2026.

Collaborative distances:

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

2026

Sequential and ensemble hybrid approaches for left ventricle segmentation in cardiac MR: A systematic mapping.

Matheus Alberto de Oliveira Ribeiro, Marco A. Gutierrez, Fátima L. S. Nunes

Comput. Biol. Medicine, 2026

Improving the quality of information systems for diagnosis: an approach to detecting and correcting segmentation errors.

Bruno F. Raquel, Matheus Alberto de Oliveira Ribeiro, Fátima L. S. Nunes

Proceedings of the 22nd Brazilian Symposium on Information Systems, 2026

Interactive Information Visualization as Support for Computer-Aided Diagnosis: Prototype and Qualitative Evaluation.

Larissa Terto Alvim, Vagner Mendonça Gonçalves, Matheus Alberto de Oliveira Ribeiro, Fátima L. S. Nunes

Proceedings of the 22nd Brazilian Symposium on Information Systems, 2026

2025

Does Isotropy Improve 3D Deep Learning Segmentation? A Comparative Study on Cardiac MRI.

Matheus Alberto de Oliveira Ribeiro, Marco A. Gutierrez, Fátima L. S. Nunes

Proceedings of the 38th SIBGRAPI Conference on Graphics, Patterns and Images, 2025

2023

Left ventricle segmentation combining deep learning and deformable models with anatomical constraints.

Matheus Alberto de Oliveira Ribeiro, Fátima L. S. Nunes

J. Biomed. Informatics, June, 2023

Improving Deep Learning Shape Consistency with a New Loss Function for Left Ventricle Segmentation in Cardiac MRI.

Matheus Alberto de Oliveira Ribeiro, Marco A. Gutierrez, Fátima L. S. Nunes

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Left Ventricle Segmentation in Cardiac MR: A Systematic Mapping of the Past Decade.

Matheus Alberto de Oliveira Ribeiro, Fátima L. S. Nunes

ACM Comput. Surv., January, 2022

2021

Evaluating the pre-processing impact on the generalization of deep learning networks for left ventricle segmentation.

Matheus Alberto de Oliveira Ribeiro, Fátima L. S. Nunes

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

3D visualization of temporal data: exploring Visual Attention and Machine Learning.

Leonardo Souza Silva, Renan Vinicius Aranha, Matheus Alberto de Oliveira Ribeiro, Luiz Ricardo Nakamura, Fátima L. S. Nunes

Proceedings of the 22nd Symposium on Virtual and Augmented Reality, 2020

Exploring Visual Attention and Machine Learning in 3D Visualization of Medical Temporal Data.

Leonardo Souza Silva, Renan Vinicius Aranha, Matheus Alberto de Oliveira Ribeiro, Luiz Ricardo Nakamura, Fátima L. S. Nunes Marques

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019

Immersive game for dental anesthesia training with haptic feedback.

Matheus Alberto de Oliveira Ribeiro, Allan Amaral Tori, Romero Tori, Fátima L. S. Nunes

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2019

2018

Visual and Haptic Trajectories Applied to Dental Anesthesia Training: Conceptualization, Implementation and Preliminary Evaluation.

Matheus Alberto de Oliveira Ribeiro, Cléber Gimenez Corrêa, Fátima L. S. Nunes

Proceedings of the 20th Symposium on Virtual and Augmented Reality, 2018

2017

Gamification as a Learning Strategy in a Simulation of Dental Anesthesia.

Matheus Alberto de Oliveira Ribeiro, Cléber Gimenez Corrêa, Fátima de Lourdes dos Santos Nunes

Proceedings of the 19th Symposium on Virtual and Augmented Reality, 2017