A decision support tool for early detection of knee OsteoArthritis using X-ray imaging and machine learning: Data from the OsteoArthritis Initiative

Autor: Eric Lespessailles, Rachid Jennane, Rabia Riad, T Janvier, Hechmi Toumi, Abdelbasset Brahim, Laila Khedher

Publikováno v: Computerized Medical Imaging and Graphics
Computerized Medical Imaging and Graphics, Elsevier, 2019, 73, pp.11-18. ⟨10.1016/j.compmedimag.2019.01.007⟩

This paper presents a fully developed computer aided diagnosis (CAD) system for early knee OsteoArthritis (OA) detection using knee X-ray imaging and machine learning algorithms. The X-ray images are first preprocessed in the Fourier domain using a c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e055524f672b8b06deeb3d02d5cb0f1
https://hal.archives-ouvertes.fr/hal-03295671/document

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

Autor: Laila Khedher, Javier Ramírez, Juan Manuel Górriz, Abdelbasset Brahim, Fermín Segovia

Publikováno v: Neurocomputing. 151:139-150

Computer aided diagnosis (CAD) systems using functional and structural imaging techniques enable physicians to detect early stages of the Alzheimer׳s disease (AD). For this purpose, magnetic resonance imaging (MRI) have been proved to be very useful

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::492bad4cc6479a69c6ca171aea3ad793
https://doi.org/10.1016/j.neucom.2014.09.072

Independent Component Analysis-Based Classification of Alzheimer’s Disease from Segmented MRI Data

Autor: Abdelbasset Brahim, Javier Ramírez, Laila Khedher, Juan Manuel Górriz, Ignacio A. Illán

Publikováno v: Artificial Computation in Biology and Medicine ISBN: 9783319189130
IWINAC (1)

An accurate and early diagnosis of the Alzheimer’s disease (AD) is of fundamental importance to improve diagnosis techniques, to better understand this neurodegenerative process and to develop effective treatments. In this work, a novel classificat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4f532a4f15a3fdb4b9f3db1076c4ddf3
https://doi.org/10.1007/978-3-319-18914-7_9

Intensity Normalization of 123 I-ioflupane-SPECT Brain Images Using a Model-Based Multivariate Linear Regression Approach

Autor: Laila Khedher, Juan Manuel Górriz, Abdelbasset Brahim, Javier Ramírez

Publikováno v: Artificial Computation in Biology and Medicine ISBN: 9783319189130
IWINAC (1)

The intensity normalization step is essential, as it corresponds to the initial step in any subsequent computer-based analysis. In this work, a proposed intensity normalization approach based on a predictive modeling using multivariate linear regress

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4f2c66b179bbdad07070e356702ae160
https://doi.org/10.1007/978-3-319-18914-7_8

Linear intensity normalization of DaTSCAN images using Mean Square Error and a model-based clustering approach

Autor: Abdelbasset, Brahim, Juan Manuel, Górriz, Javier, Ramírez, Laila, Khedher

Publikováno v: Studies in health technology and informatics. 207

The analysis of 3D SPECT brain images requires several pre-processing steps such as intensity normalization and brain feature extraction. In this sense, a new method for intensity normalization ofsup123/supI-ioflupane-SPECT (DaTSCAN) brain images bas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::1d55d1638534fc5cf27031feabb17f27
https://pubmed.ncbi.nlm.nih.gov/25488231