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Matheus Alberto de Oliveira Ribeiro
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2020 – today
- 2023
- [j2]Matheus Alberto de Oliveira Ribeiro, Fátima L. S. Nunes:
Left ventricle segmentation combining deep learning and deformable models with anatomical constraints. J. Biomed. Informatics 142: 104366 (2023) - [c7]Matheus Alberto de Oliveira Ribeiro, Marco A. Gutierrez, Fátima L. S. Nunes:
Improving Deep Learning Shape Consistency with a New Loss Function for Left Ventricle Segmentation in Cardiac MRI. CBMS 2023: 435-440 - 2022
- [j1]Matheus Alberto de Oliveira Ribeiro, Fátima L. S. Nunes:
Left Ventricle Segmentation in Cardiac MR: A Systematic Mapping of the Past Decade. ACM Comput. Surv. 54(11s): 241:1-241:38 (2022) - 2021
- [c6]Matheus Alberto de Oliveira Ribeiro, Fátima L. S. Nunes:
Evaluating the pre-processing impact on the generalization of deep learning networks for left ventricle segmentation. BIBM 2021: 3505-3512 - 2020
- [c5]Leonardo Souza Silva, Renan Vinicius Aranha, Matheus Alberto de Oliveira Ribeiro, Luiz Ricardo Nakamura, Fátima L. S. Nunes Marques:
Exploring Visual Attention and Machine Learning in 3D Visualization of Medical Temporal Data. CBMS 2020: 146-151 - [c4]Leonardo Souza Silva, Renan Vinicius Aranha, Matheus Alberto de Oliveira Ribeiro, Luiz Ricardo Nakamura, Fátima L. S. Nunes:
3D visualization of temporal data: exploring Visual Attention and Machine Learning. SVR 2020: 443-452
2010 – 2019
- 2019
- [c3]Matheus Alberto de Oliveira Ribeiro, Allan Amaral Tori, Romero Tori, Fátima L. S. Nunes:
Immersive game for dental anesthesia training with haptic feedback. SIGGRAPH Posters 2019: 57:1-57:2 - 2018
- [c2]Matheus Alberto de Oliveira Ribeiro, Cléber Gimenez Corrêa, Fátima L. S. Nunes:
Visual and Haptic Trajectories Applied to Dental Anesthesia Training: Conceptualization, Implementation and Preliminary Evaluation. SVR 2018: 210-219 - 2017
- [c1]Matheus Alberto de Oliveira Ribeiro, Cléber Gimenez Corrêa, Fátima de Lourdes dos Santos Nunes:
Gamification as a Learning Strategy in a Simulation of Dental Anesthesia. SVR 2017: 271-278
Coauthor Index
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