Disturbed neurovascular coupling in type 2 diabetes mellitus patients: Evidence from a comprehensive fMRI analysis
2019 · NeuroImage Clinical · 90 citations
https://doi.org/10.1016/j.nicl.2019.101802
L
Lin‐Feng Yan
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Lin‐Feng Yan is an academic researcher from Shandong University. The author has contributed to research in topics: Functional Brain Connectivity Studies & Glioma Diagnosis and Treatment & Radiomics and Machine Learning in Medical Imaging. The author has an h-index of 22, co-authored 74 publications.
ORCID: 0000-0001-8824-6117Papers by this author
worksIntravoxel incoherent motion diffusion-weighted MR imaging of gliomas: efficacy in preoperative grading
2014 · Scientific Reports · 83 citations
https://doi.org/10.1038/srep07208
Gender differences in functional connectivities between insular subdivisions and selective pain-related brain structures
2018 · The Journal of Headache and Pain · 43 citations
https://doi.org/10.1186/s10194-018-0849-z
Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T1-weighted Contrast-enhanced Imaging
2021 · BMC Medical Imaging · 43 citations
https://doi.org/10.1186/s12880-020-00545-5
Gray and white matter abnormality in patients with T2DM-related cognitive dysfunction: a systemic review and meta-analysis
2022 · Nutrition and Diabetes · 35 citations
https://doi.org/10.1038/s41387-022-00214-2
Cross-ancestry genome-wide association studies of brain imaging phenotypes
2024 · Nature Genetics · 25 citations
https://doi.org/10.1038/s41588-024-01766-y
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