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Abdelbasset Brahim
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2020 – today
- 2024
- [c10]Abdelbasset Brahim, Marwa Abderrahim, Jean-Marie Housseau, Arnaud Destainville, Marc Legeais:
Generation of synthetic segmented 3D-CT scan of healthy Pelvic bone. IPTA 2024: 1-6 - 2020
- [j6]Abdelbasset Brahim, Nicolas Farrugia:
Graph Fourier transform of fMRI temporal signals based on an averaged structural connectome for the classification of neuroimaging. Artif. Intell. Medicine 106: 101870 (2020)
2010 – 2019
- 2019
- [j5]Abdelbasset Brahim, Rachid Jennane, Rabia Riad, Thomas Janvier, Laila Khedher, Hechmi Toumi, Eric Lespessailles:
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. 73: 11-18 (2019) - [c9]Abdelbasset Brahim, Mehdi Hajjam El Hassani, Nicolas Farrugia:
Classification of Autism Spectrum Disorder Through the Graph Fourier Transform of fMRI Temporal Signals Projected on Structural Connectome. CAIP Workshops 2019: 45-55 - [c8]Abdelbasset Brahim, Rabia Riad, Rachid Jennane:
Knee Osteoarthritis Detection Using Power Spectral Density: Data from the OsteoArthritis Initiative. CAIP (2) 2019: 480-487 - 2018
- [j4]Rabia Riad, Rachid Jennane, Abdelbasset Brahim, Thomas Janvier, Hechmi Toumi, Eric Lespessailles:
Texture analysis using complex wavelet decomposition for knee osteoarthritis detection: Data from the osteoarthritis initiative. Comput. Electr. Eng. 68: 181-191 (2018) - 2017
- [j3]Laila Khedher, Ignacio Álvarez, Juan Manuel Górriz, Javier Ramírez, Abdelbasset Brahim, Anke Meyer-Baese:
Independent Component Analysis-Support Vector Machine-Based Computer-Aided Diagnosis System for Alzheimer's with Visual Support. Int. J. Neural Syst. 27(3): 1650050:1-1650050:18 (2017) - [c7]Abdelbasset Brahim, Laila Khedher, Juan Manuel Górriz, Javier Ramírez, Hechmi Toumi, Eric Lespessailles, Rachid Jennane, Mohammed El Hassouni:
A proposed computer-aided diagnosis system for Parkinson's disease classification using 123I-FP-CIT imaging. ATSIP 2017: 1-6 - [c6]Yassine Nasser, Mohammed El Hassouni, Abdelbasset Brahim, Hechmi Toumi, Eric Lespessailles, Rachid Jennane:
Diagnosis of osteoporosis disease from bone X-ray images with stacked sparse autoencoder and SVM classifier. ATSIP 2017: 1-5 - 2015
- [j2]Abdelbasset Brahim, J. M. Górriz, Javier Ramírez, Laila Khedher:
Intensity normalization of DaTSCAN SPECT imaging using a model-based clustering approach. Appl. Soft Comput. 37: 234-244 (2015) - [j1]Laila Khedher, Javier Ramírez, Juan Manuel Górriz, Abdelbasset Brahim, Fermín Segovia:
Early diagnosis of Alzheimer's disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images. Neurocomputing 151: 139-150 (2015) - [c5]Abdelbasset Brahim, Juan Manuel Górriz, Javier Ramírez, Laila Khedher:
Intensity Normalization of 123 I-ioflupane-SPECT Brain Images Using a Model-Based Multivariate Linear Regression Approach. IWINAC (1) 2015: 68-77 - [c4]Laila Khedher, Javier Ramírez, Juan Manuel Górriz, Abdelbasset Brahim, I. Álvarez Illán:
Independent Component Analysis-Based Classification of Alzheimer's Disease from Segmented MRI Data. IWINAC (1) 2015: 78-87 - 2014
- [c3]Abdelbasset Brahim, Javier Ramírez, Juan Manuel Górriz, Laila Khedher:
Applications of Gaussian mixture models and mean squared error within DatSCAN SPECT imaging. ICIP 2014: 3617-3621 - [c2]Abdelbasset Brahim, Juan Manuel Górriz, Javier Ramírez, Laila Khedher:
Linear intensity normalization of DaTSCAN images using Mean Square Error and a model-based clustering approach. InMed 2014: 251-260 - [c1]Laila Khedher, Javier Ramírez, Juan Manuel Górriz, Abdelbasset Brahim:
Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines. InMed 2014: 271-279
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