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ORCIDChristian Mattjie de Oliveira
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2020 – today
- 2024
[c5]Otávio Parraga, Lucas S. Kupssinskü, Christian Mattjie de Oliveira, Rodrigo C. Barros:
One Against Many: Exploring Multi-task Learning Generalization in Source-Code Tasks. IJCNN 2024: 1-8- [c4]Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Lucas Silveira Kupssinskü, Carla Maria Dal Sasso Freitas, Rodrigo C. Barros:
Unlocking The Potential Of Vision-Language Models For Mammography Analysis. ISBI 2024: 1-4 - 2023
- [j2]Pedro Moises de Sousa
, Pedro Cunha Carneiro, Gabrielle Macedo Pereira, Mariane Modesto Oliveira, Carlos Alberto da Costa Junior, Luis Vinícius de Moura, Christian Mattjie de Oliveira, Ana Maria Marques da Silva, Túlio Augusto Alves Macedo, Ana Claudia Patrocinio:
A new model for classification of medical CT images using CNN: a COVID-19 case study. Multim. Tools Appl. 82(16): 25327-25355 (2023) - [c3]Christian Mattjie de Oliveira, Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Lucas S. Kupssinskü, Otávio Parraga, Marcelo Mussi Delucis, Rodrigo C. Barros:
Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines. BIBE 2023: 108-112 - [c2]Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Luis Vinícius de Moura, Lucas S. Kupssinskü, Rodrigo C. Barros, Denise Cantarelli Machado, Ana Maria Marques da Silva:
Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography. BIBE 2023: 272-276 - [i2]Christian Mattjie de Oliveira, Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Lucas Silveira Kupssinskü, Otávio Parraga, Marcelo Mussi Delucis, Rodrigo Coelho Barros:
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines. CoRR abs/2305.00109 (2023) - 2022
- [i1]Otávio Parraga, Martin D. Móre, Christian Mattjie de Oliveira, Nathan S. Gavenski, Lucas S. Kupssinskü, Adilson Medronha, Luis Vinícius de Moura, Gabriel S. Simões, Rodrigo C. Barros:
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey. CoRR abs/2211.05617 (2022) - 2021
- [j1]Luis Vinícius de Moura, Christian Mattjie de Oliveira, Caroline Machado Dartora, Rodrigo C. Barros, Ana Maria Marques da Silva:
Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography. Frontiers Digit. Health 3: 662343 (2021) - 2020
- [c1]Luis Vinícius de Moura, Caroline Machado Dartora, Christian Mattjie de Oliveira, Rodrigo Coelho Barros, Ana Maria Marques da Silva:
A Novel Approach to Differentiate COVID-19 Pneumonia in Chest X-ray. BIBE 2020: 446-451
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