Ana Maria Marques da Silva

According to our database, Ana Maria Marques da Silva authored at least 14 papers between 2001 and 2024.

Collaborative distances:

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

2024

Evaluation of Non-Invasive Methods for (R)-[11C]PK11195 PET Image Quantification in Multiple Sclerosis.

Dimitri B. A. Mantovani, Milena S. Pitombeira, Phelipi N. Schuck, Adriel Silva de Araújo, Carlos Alberto Buchpiguel, Daniele de Paula Faria, Ana Maria Marques da Silva

J. Imaging, February, 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

Volumetric measurements of brain in multiple sclerosis: comparison of segmentation methods in simulated MRI data.

Phelipi N. Schuck, Adriel Silva de Araújo, Dimitri B. A. Mantovani, Nícollas G. Cavedini, Ana Maria Marques da Silva

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Interstitial lung disease detection in CT using an ensemble method of patch CNN and radiomic classifier.

Adriel Silva de Araújo, Leonardo Rosa Amado, Dimitri B. A. Mantovani, Ana Maria Marques da Silva, Márcio Sarroglia Pinho

Proceedings of the Medical Imaging 2023: Image Processing, 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

2022

Evaluation of MR-less in brain amyloid-β PET Centiloid quantification.

G. S. de Souza, S. Pinto, Ana Maria Marques da Silva

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 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

2017

A Case-Based Study with Radiologists Performing Diagnosis Tasks in Virtual Reality.

José Eduardo Venson, Jean Carlo Albiero Berni, Carlos Edmilson da Silva Maia, Ana Maria Marques da Silva, Marcos Cordeiro d'Ornellas, Anderson Maciel

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

2016

Medical imaging VR: can immersive 3D aid in diagnosis?

José Eduardo Venson, Jean Carlo Albiero Berni, Carlos S. Maia, Ana Maria Marques da Silva, Marcos d'Ornelas, Anderson Maciel

Proceedings of the 22nd ACM Conference on Virtual Reality Software and Technology, 2016

2006

Attenuation correction in cardiac SPECT using consistency conditions.

Ana Maria Marques da Silva, Cecil Chow Robilotta

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2004

Real-time interactive visualization and manipulation of the volumetric data using GPU-based methods.

Carlos Augusto Dietrich, Luciana Porcher Nedel, Sílvia Delgado Olabarriaga, João Luiz Dihl Comba, Dinamar José Zanchet, Ana Maria Marques da Silva, Edna Frasson de Souza Montero

Proceedings of the Medical Imaging 2004: Visualization, 2004

2001

On Determining a Signature for Skeletal Maturity.

Ana Maria Marques da Silva, Sílvia D. Olabarriaga, Carlos Augusto Dietrich, Carlos André Aita Schmitz

Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001

Computer-Aided Diagnostic System for Skeletal Age Assessment.

Gláucia L. de Oliveira, Gustavo P. Noal, Ana Maria Marques da Silva, Carlos André Aita Schmitz

Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001