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.
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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
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
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015
2013
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013