Abdelbasset Brahim

Orcid: 0000-0002-3569-0764

According to our database1, Abdelbasset Brahim authored at least 15 papers between 2014 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
Graph Fourier transform of fMRI temporal signals based on an averaged structural connectome for the classification of neuroimaging.
Artif. Intell. Medicine, 2020

2019
A decision support tool for early detection of knee OsteoArthritis using X-ray imaging and machine learning: Data from the OsteoArthritis Initiative.
Comput. Medical Imaging Graph., 2019

Knee Osteoarthritis Detection Using Power Spectral Density: Data from the OsteoArthritis Initiative.
Proceedings of the Computer Analysis of Images and Patterns, 2019

Classification of Autism Spectrum Disorder Through the Graph Fourier Transform of fMRI Temporal Signals Projected on Structural Connectome.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
Texture analysis using complex wavelet decomposition for knee osteoarthritis detection: Data from the osteoarthritis initiative.
Comput. Electr. Eng., 2018

2017
Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support.
Int. J. Neural Syst., 2017

Diagnosis of osteoporosis disease from bone X-ray images with stacked sparse autoencoder and SVM classifier.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

A proposed computer-aided diagnosis system for Parkinson's disease classification using <sup>123</sup>I-FP-CIT imaging.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

2015
Early diagnosis of Alzheimer's disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images.
Neurocomputing, 2015

Intensity normalization of DaTSCAN SPECT imaging using a model-based clustering approach.
Appl. Soft Comput., 2015

Independent Component Analysis-Based Classification of Alzheimer's Disease from Segmented MRI Data.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Intensity Normalization of 123 I-ioflupane-SPECT Brain Images Using a Model-Based Multivariate Linear Regression Approach.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

2014
Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Linear intensity normalization of DaTSCAN images using Mean Square Error and a model-based clustering approach.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

Applications of Gaussian mixture models and mean squared error within DatSCAN SPECT imaging.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014


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