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Changes in resting-state functional connectivity in neuropsychiatric lupus: A dynamic approach based on recurrence quantification analysis.

, , , , , , , , и . Biomed. Signal Process. Control., 72 (Part): 103285 (2022)

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Efrosini Papagiannuli

Maria Papadaki

Ourania Papadaki-Papandreu

Chrysanthi Rogdaki-Papadaki

 

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Exploitation of patient avatars towards stratified medicine through the development of in silico clinical trials approaches., , , , , , и . BIBE, стр. 1-4. IEEE Computer Society, (2013)Incremental diagnostic information obtained via novel Dynamic Contrast Enhanced MRI framework applied on Multiple Sclerosis patients: A preliminary study., , , , , , , и . BHI, стр. 46-49. IEEE, (2018)DCE-MRI radiomics features for predicting breast cancer neoadjuvant therapy response., , , , , , , , , и . IST, стр. 1-6. IEEE, (2018)Machine Learning Classification of Neuropsychiatric Systemic Lupus Erythematosus patients using resting-state fMRI functional connectivity., , , , , и . IST, стр. 1-6. IEEE, (2019)Changes in resting-state functional connectivity in neuropsychiatric lupus: A dynamic approach based on recurrence quantification analysis., , , , , , , , и . Biomed. Signal Process. Control., 72 (Part): 103285 (2022)Chronic Mild Traumatic Brain Injury: Aberrant Static and Dynamic Connectomic Features Identified Through Machine Learning Model Fusion., , , , , , , , , и 2 other автор(ы). Neuroinformatics, 21 (2): 427-442 (апреля 2023)