Computer-Aided Diagnostic System for Skeletal Age Assessment. - Gláucia L. de Oliveira; Gustavo P. Noal; Ana Maria Marques da Silva; Carlos André Aita Schmitz (SIBGRAPI, 2001)

On Determining a Signature for Skeletal Maturity. - Ana Maria Marques da Silva; Sílvia D. Olabarriaga; Carlos Augusto Dietrich; Carlos André Aita Schmitz (SIBGRAPI, 2001)

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 (Image-Guided Procedures, 2004)

Attenuation correction in cardiac SPECT using consistency conditions. - Ana Maria Marques da Silva; Cecil Chow Robilotta (ISBI, 2006)

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 (VRST, 2016)

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 (MedInfo, 2017)

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 (BIBE, 2020)

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)

Evaluation of MR-less in brain amyloid-β PET Centiloid quantification. - G. S. de Souza; S. Pinto; Ana Maria Marques da Silva (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

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 (BIBE, 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 (Image Processing, 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 (Image Processing, 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., 2023)

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, 2024)

A 2.5D Self-Training Strategy for Carotid Artery Segmentation in T1-Weighted Brain Magnetic Resonance Images. - Adriel Silva de Araújo; Márcio Sarroglia Pinho; Ana Maria Marques da Silva; Luis Felipe Fiorentini; Jefferson Becker (J. Imaging, 2024)