Jonathan S. Ramos

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 14

Top Topics

Outlier Removal

Top Venues

Publications

Márcus V. L. Costa, Erikson Júlio De Aguiar, Lucas Santiago Rodrigues, Jonathan S. Ramos, Caetano Traina, Agma J. M. Traina
A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model. CBMS (2023)
Marcos V. N. Bedo, Jonathan S. Ramos, Agma J. M. Traina, Caetano Traina, Marcello H. Nogueira-Barbosa, Paulo M. Azevedo-Marques
Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. CBMS (2022)
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
Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning. CBMS (2022)
Mirela T. Cazzolato, Jonathan S. Ramos, Lucas S. Rodrigues, Lucas C. Scabora, Daniel Y. T. Chino, Ana Elisa Serafim Jorge, Paulo Mazzoncini de Azevedo Marques, Caetano Traina Jr., Agma J. M. Traina
The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Comput. Biol. Medicine 134 (2021)
Jonathan S. Ramos, Jamilly G. Maciel, Mirela T. Cazzolato, Caetano Traina, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. CBMS (2021)
Mirela T. Cazzolato, Jonathan S. Ramos, Lucas S. Rodrigues, Lucas C. Scabora, Daniel Y. T. Chino, Ana Elisa Serafim Jorge, Paulo Mazzoncini de Azevedo Marques, Caetano Traina, Agma J. M. Traina
Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. CBMS (2020)
Jonathan S. Ramos, Mirela T. Cazzolato, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI. SAC (2020)
Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Marcello H. Nogueira-Barbosa, Caetano Traina Jr., Agma J. M. Traina
3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging. CoRR (2019)
Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. SAC (2019)
Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Marcello H. Nogueira-Barbosa, Caetano Traina, Agma J. M. Traina
3DBGrowth: Volumetric Vertebrae Segmentation and Reconstruction in Magnetic Resonance Imaging. CBMS (2019)
Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Oscar A. C. Linares, Marcello H. Nogueira-Barbosa, Caetano Traina, Agma J. M. Traina
Fast and Smart Segmentation of Paraspinal Muscles in Magnetic Resonance Imaging with CleverSeg. SIBGRAPI (2019)
Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. CoRR (2019)
Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Caetano Traina, Agma J. M. Traina
How to speed up outliers removal in image matching. Pattern Recognit. Lett. 114 (2018)
Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Agma J. M. Traina
FOMP: A Novel Preprocessing Technique to Speed-Up the Outlier Removal from Matched Points. SIBGRAPI (2016)
Carolina Yukari Veludo Watanabe, Jonathan S. Ramos, Agma J. M. Traina, Caetano Traina Jr.
A CAD system based on complex networks theory to characterize mass in mammograms. Medical Imaging: Computer-Aided Diagnosis (2012)