Marcello Henrique Nogueira-Barbosa

Orcid: 0000-0002-7436-5315

According to our database1, Marcello Henrique Nogueira-Barbosa authored at least 19 papers between 2013 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI.
J. Digit. Imaging, August, 2023

2022
Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis.
J. Digit. Imaging, 2022

Computer-Aided Diagnosis of Vertebral Compression Fractures Using Convolutional Neural Networks and Radiomics.
J. Digit. Imaging, 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
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
Multiangle Long-Axis Lateral Illumination Photoacoustic Imaging Using Linear Array Transducer.
Sensors, 2020

A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis.
Int. J. Comput. Assist. Radiol. Surg., 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

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

2017
Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures.
Int. J. Comput. Assist. Radiol. Surg., 2017

2016
Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images.
Comput. Biol. Medicine, 2016

Recognition of vertebral compression fractures in magnetic resonance images using statistics of height and width.
Proceedings of the 2016 IEEE International Symposium on Medical Measurements and Applications, 2016

2015
Classification of vertebral compression fractures in magnetic resonance images using spectral and fractal analysis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Semiautomatic Classification of Benign Versus Malignant Vertebral Compression Fractures Using Texture and Gray-Level Features in Magnetic Resonance Images.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

Vertebral Body Segmentation of Spine MR Images Using Superpixels.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2013
A Differential Method for Representing Spinal MRI for Perceptual-CBIR.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013


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