Jonathan S. Ramos

Orcid: 0000-0003-0272-6481

According to our database1, Jonathan S. Ramos authored at least 13 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model.
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.
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.
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.
Comput. Biol. Medicine, 2021

BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging.
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.
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.
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.
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.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

3DBGrowth: Volumetric Vertebrae Segmentation and Reconstruction in Magnetic Resonance Imaging.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018
How to speed up outliers removal in image matching.
Pattern Recognit. Lett., 2018

2016
FOMP: A Novel Preprocessing Technique to Speed-Up the Outlier Removal from Matched Points.
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.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012


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