Jonathan S. Ramos

16 papers B 6Misc 2Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A transfer learning approach to identify Plasmodium in microscopic images. PLoS Comput. Biol. Jonathan S. Ramos, Ivo Henrique Provensi Vieira, Wan Song Rocha, Rosimar Pires Esquerdo, Carolina Yukari Veludo Watanabe, Fernando Berton Zanchi
2023	B	`conf`	A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model. CBMS Márcus V. L. Costa, Erikson Júlio De Aguiar, Lucas Santiago Rodrigues, Jonathan S. Ramos, Caetano Traina, Agma J. M. Traina
2022	B	`conf`	Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning. CBMS 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
2022	B	`conf`	Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. CBMS Marcos V. N. Bedo, Jonathan S. Ramos, Agma J. M. Traina, Caetano Traina, Marcello H. Nogueira-Barbosa, Paulo M. Azevedo-Marques
2021	B	`conf`	BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. CBMS Jonathan S. Ramos, Jamilly G. Maciel, Mirela T. Cazzolato, Caetano Traina, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
2021	J	`jnl`	The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Comput. Biol. Medicine 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
2020	Misc	`conf`	FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI. SAC Jonathan S. Ramos, Mirela T. Cazzolato, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
2020	B	`conf`	Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. CBMS 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
2019	B	`conf`	3DBGrowth: Volumetric Vertebrae Segmentation and Reconstruction in Magnetic Resonance Imaging. CBMS Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Marcello H. Nogueira-Barbosa, Caetano Traina, Agma J. M. Traina
2019	J	`jnl`	3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging. CoRR Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Marcello H. Nogueira-Barbosa, Caetano Traina Jr., Agma J. M. Traina
2019	Misc	`conf`	BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. SAC Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
2019	J	`jnl`	BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. CoRR Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
2019	—	`conf`	Fast and Smart Segmentation of Paraspinal Muscles in Magnetic Resonance Imaging with CleverSeg. SIBGRAPI Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Oscar A. C. Linares, Marcello H. Nogueira-Barbosa, Caetano Traina, Agma J. M. Traina
2018	J	`jnl`	How to speed up outliers removal in image matching. Pattern Recognit. Lett. Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Caetano Traina, Agma J. M. Traina
2016	—	`conf`	FOMP: A Novel Preprocessing Technique to Speed-Up the Outlier Removal from Matched Points. SIBGRAPI Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Agma J. M. Traina
2012	—	`conf`	A CAD system based on complex networks theory to characterize mass in mammograms. Computer-Aided Diagnosis Carolina Yukari Veludo Watanabe, Jonathan S. Ramos, Agma J. M. Traina, Caetano Traina Jr.