A CAD system based on complex networks theory to characterize mass in mammograms. - Carolina Yukari Veludo Watanabe; Jonathan S. Ramos; Agma J. M. Traina; Caetano Traina Jr. (Computer-Aided Diagnosis, 2012)

FOMP: A Novel Preprocessing Technique to Speed-Up the Outlier Removal from Matched Points. - Jonathan S. Ramos; Carolina Yukari Veludo Watanabe; Agma J. M. Traina (SIBGRAPI, 2016)

How to speed up outliers removal in image matching. - Jonathan S. Ramos; Carolina Yukari Veludo Watanabe; Caetano Traina; Agma J. M. Traina (Pattern Recognit. Lett., 2018)

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)

Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. - Mirela T. Cazzolato; Jonathan S. Ramos; Lucas Santiago Rodrigues; Lucas C. Scabora; Daniel Y. T. Chino; Ana Elisa Serafim Jorge; Paulo Mazzoncini de Azevedo Marques; Caetano Traina; Agma J. M. Traina (CBMS, 2020)

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)

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)

The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. - Mirela T. Cazzolato; Jonathan S. Ramos; Lucas Santiago Rodrigues; Lucas C. Scabora; Daniel Y. T. Chino; Ana Elisa Serafim Jorge; Paulo Mazzoncini de Azevedo Marques; Caetano Traina Jr.; Agma J. M. Traina (Comput. Biol. Medicine, 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)

A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model. - Márcus V. L. Costa; Erikson Júlio De Aguiar; Lucas Santiago Rodrigues; Jonathan S. Ramos; Caetano Traina; Agma J. M. Traina (CBMS, 2023)

A transfer learning approach to identify Plasmodium in microscopic images. - Jonathan S. Ramos; Ivo Henrique Provensi Vieira; Wan Song Rocha; Rosimar Pires Esquerdo; Carolina Yukari Veludo Watanabe; Fernando Berton Zanchi (PLoS Comput. Biol., 2024)