Christian Mattjie de Oliveira

According to our database, Christian Mattjie de Oliveira authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Unlocking The Potential Of Vision-Language Models For Mammography Analysis.

Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Christian Mattjie de Oliveira, Lucas Silveira Kupssinskü, Carla Maria Dal Sasso Freitas, Rodrigo C. Barros

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

One Against Many: Exploring Multi-task Learning Generalization in Source-Code Tasks.

Otávio Parraga, Lucas S. Kupssinskü, Christian Mattjie de Oliveira, Rodrigo C. Barros

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

A new model for classification of medical CT images using CNN: a COVID-19 case study.

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

Multim. Tools Appl., July, 2023

Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography.

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

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines.

Christian Mattjie de Oliveira, Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Lucas S. Kupssinskü, Otávio Parraga, Marcelo Mussi Delucis, Rodrigo C. Barros

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022

Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey.

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

CoRR, 2022

2021

Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography.

Luis Vinícius de Moura, Christian Mattjie de Oliveira, Caroline Machado Dartora, Rodrigo C. Barros, Ana Maria Marques da Silva

Frontiers Digit. Health, 2021

2020

A Novel Approach to Differentiate COVID-19 Pneumonia in Chest X-ray.

Luis Vinícius de Moura, Caroline Machado Dartora, Christian Mattjie de Oliveira, Rodrigo Coelho Barros, Ana Maria Marques da Silva

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020