Jonathan S. Ramos

According to our database, Jonathan S. Ramos authored at least 14 papers between 2012 and 2024.

Collaborative distances:

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

2024

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

2023

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

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

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

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

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

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

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

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

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

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

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

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

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

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

Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 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

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

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

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018

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

2016

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

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

2012

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.

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012