A systematic review of (semi-)automatic quality control of T1-weighted MRI scans

[1] Shaikh F(2020)The role of imaging biomarkers derived from advanced imaging and radiomics in the management of brain tumors Front Oncol 10 559946-524

[2] Dupont-Roettger D(2013)Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging Int J Dev Neurosci 31 512-1688

[3] Dehmeshki J(2010)Quantitative structural MRI for early detection of Alzheimer’s disease Expert Rev Neurother 10 1675-7

[4] Awan O(1999)Quantitative MRI in patients with secondary progressive MS treated with monoclonal antibody Campath 1H Neurology 53 751-560

[5] Kubassova O(1995)Visual assessment of medial temporal lobe atrophy on magnetic resonance imaging: interobserver reliability J Neurol 242 557-281

[6] Bisdas S(1995)Detection of degradation of magnetic resonance (MR) images: comparison of an automated MR image-quality analysis system with trained human observers Acad Radiol 2 277-424

[7] Oishi K(2021)Automatic MR image quality evaluation using a Deep CNN: a reference-free method to rate motion artifacts in neuroimaging Comput Med Imaging Graph 90 101897-129

[8] Faria AV(2015)UK Biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age PLoS Med 12 e1001779-34

[9] Yoshida S(2018)Image processing and quality control for the first 10,000 brain imaging datasets from UK Biobank Neuroimage 166 400-41

[10] Chang L(2017)MRIQC: advancing the automatic prediction of image quality in MRI from unseen sites PLoS One 12 e0184661-319

[1] Shaikh F(2020)The role of imaging biomarkers derived from advanced imaging and radiomics in the management of brain tumors Front Oncol 10 559946-524

[2] Dupont-Roettger D(2013)Quantitative evaluation of brain development using anatomical MRI and diffusion tensor imaging Int J Dev Neurosci 31 512-1688

[3] Dehmeshki J(2010)Quantitative structural MRI for early detection of Alzheimer’s disease Expert Rev Neurother 10 1675-7

[4] Awan O(1999)Quantitative MRI in patients with secondary progressive MS treated with monoclonal antibody Campath 1H Neurology 53 751-560

[5] Kubassova O(1995)Visual assessment of medial temporal lobe atrophy on magnetic resonance imaging: interobserver reliability J Neurol 242 557-281

[6] Bisdas S(1995)Detection of degradation of magnetic resonance (MR) images: comparison of an automated MR image-quality analysis system with trained human observers Acad Radiol 2 277-424

[7] Oishi K(2021)Automatic MR image quality evaluation using a Deep CNN: a reference-free method to rate motion artifacts in neuroimaging Comput Med Imaging Graph 90 101897-129

[8] Faria AV(2015)UK Biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age PLoS Med 12 e1001779-34

[9] Yoshida S(2018)Image processing and quality control for the first 10,000 brain imaging datasets from UK Biobank Neuroimage 166 400-41

[10] Chang L(2017)MRIQC: advancing the automatic prediction of image quality in MRI from unseen sites PLoS One 12 e0184661-319