A Differential Method for Representing Spinal MRI for Perceptual-CBIR. - Marcelo Ponciano-Silva; Pedro Henrique Bugatti; Rafael Menezes-Reis; Paulo M. Azevedo-Marques; Marcello H. Nogueira-Barbosa; Caetano Traina Jr.; Agma Juci Machado Traina (CIARP (1), 2013)

Vertebral Body Segmentation of Spine MR Images Using Superpixels. - Paulo Duarte Barbieri; Glauco Vitor Pedrosa; Agma Juci Machado Traina; Marcello Henrique Nogueira-Barbosa (CBMS, 2015)

Semiautomatic Classification of Benign Versus Malignant Vertebral Compression Fractures Using Texture and Gray-Level Features in Magnetic Resonance Images. - Lucas Frighetto-Pereira; Rafael Menezes-Reis; Guilherme Augusto Metzner; Rangaraj Mandayam Rangayyan; Paulo Mazzoncini de Azevedo Marques; Marcello Henrique Nogueira-Barbosa (CBMS, 2015)

Classification of vertebral compression fractures in magnetic resonance images using spectral and fractal analysis. - Paulo M. Azevedo-Marques; Heloisa Ferreira Spagnoli; Lucas Frighetto-Pereira; Rafael Menezes-Reis; Guilherme Augusto Metzner; Rangaraj M. Rangayyan; Marcello Henrique Nogueira-Barbosa (EMBC, 2015)

Recognition of vertebral compression fractures in magnetic resonance images using statistics of height and width. - Lucas Frighetto-Pereira; Guilherme Augusto Metzner; Paulo Mazzoncini de Azevedo Marques; Marcello Henrique Nogueira-Barbosa; Foad Oloumi; Rangaraj M. Rangayyan (MeMeA, 2016)

Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images. - Lucas Frighetto-Pereira; Rangaraj Mandayam Rangayyan; Guilherme Augusto Metzner; Paulo Mazzoncini de Azevedo Marques; Marcello Henrique Nogueira-Barbosa (Comput. Biol. Medicine, 2016)

Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures. - Paola Casti; Arianna Mencattini; Marcello H. Nogueira-Barbosa; Lucas Frighetto-Pereira; Paulo Mazzoncini de Azevedo Marques; Eugenio Martinelli; Corrado Di Natale (Int. J. Comput. Assist. Radiol. Surg., 2017)

3DBGrowth: Volumetric Vertebrae Segmentation and Reconstruction in Magnetic Resonance Imaging. - Jonathan S. Ramos; Mirela T. Cazzolato; Bruno S. Faiçal; Marcello H. Nogueira-Barbosa; Caetano Traina; Agma J. M. Traina (CBMS, 2019)

BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. - Jonathan S. Ramos; Carolina Yukari Veludo Watanabe; Marcello H. Nogueira-Barbosa; Agma J. M. Traina (SAC, 2019)

Fast and Smart Segmentation of Paraspinal Muscles in Magnetic Resonance Imaging with CleverSeg. - Jonathan S. Ramos; Mirela T. Cazzolato; Bruno S. Faiçal; Oscar A. C. Linares; Marcello H. Nogueira-Barbosa; Caetano Traina; Agma J. M. Traina (SIBGRAPI, 2019)

FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI. - Jonathan S. Ramos; Mirela T. Cazzolato; Marcello H. Nogueira-Barbosa; Agma J. M. Traina (SAC, 2020)

A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis. - Ariane Priscilla Magalhães Tenório; Matheus Calil Faleiros; José Raniery Ferreira Jr.; Vitor Faeda Dalto; Rodrigo Luppino Assad; Paulo Louzada-Junior; Hiroyuki Yoshida; Marcello Henrique Nogueira-Barbosa; Paulo Mazzoncini de Azevedo Marques (Int. J. Comput. Assist. Radiol. Surg., 2020)

Multiangle Long-Axis Lateral Illumination Photoacoustic Imaging Using Linear Array Transducer. - João H. Uliana; Diego R. T. Sampaio; Guilherme S. P. Fernandes; María S. Brassesco; Marcello H. Nogueira-Barbosa; Antonio A. O. Carneiro; Theo Z. Pavan (Sensors, 2020)

BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. - Jonathan S. Ramos; Jamilly G. Maciel; Mirela T. Cazzolato; Caetano Traina; Marcello H. Nogueira-Barbosa; Agma J. M. Traina (CBMS, 2021)

Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. - Marcos V. N. Bedo; Jonathan S. Ramos; Agma J. M. Traina; Caetano Traina; Marcello H. Nogueira-Barbosa; Paulo M. Azevedo-Marques (CBMS, 2022)

Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning. - Jonathan S. Ramos; Erikson Júlio De Aguiar; Ivar Vargas Belizario; Márcus V. L. Costa; Jamilly G. Maciel; Mirela T. Cazzolato; Caetano Traina; Marcello H. Nogueira-Barbosa; Agma J. M. Traina (CBMS, 2022)

Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics. - Rafael Silva Del Lama; Raquel Mariana Candido; Natália Santana Chiari-Correia; Marcello Henrique Nogueira-Barbosa; Paulo Mazzoncini de Azevedo Marques; Renato Tinós (J. Digit. Imaging, 2022)

Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis. - Ariane Priscilla Magalhães Tenório; José Raniery Ferreira Jr.; Vitor Faeda Dalto; Matheus Calil Faleiros; Rodrigo Luppino Assad; Paulo Louzada-Junior; Marcello Henrique Nogueira-Barbosa; Rangaraj Mandayam Rangayyan; Paulo Mazzoncini de Azevedo Marques (J. Digit. Imaging, 2022)

A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI. - Natália Santana Chiari-Correia; Marcello H. Nogueira-Barbosa; Rodolfo Dias Chiari-Correia; Paulo M. Azevedo-Marques (J. Digit. Imaging, 2023)