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Luis Vinícius de Moura
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2020 – today
- 2024
- [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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last updated on 2024-09-09 01:15 CEST by the dblp team
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