RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis is a research paper published in NeuroImage Clinical (2020). On theSindex it has a DataRank of 0.619. It has been cited 61 times.
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Base Score Contribution
0.619
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Swiss National Science Foundation
Grant: 205321
Swiss National Science Foundation
Grant: 182602
Swiss National Science Foundation
Grant: 176984
Eurostars
H2020 Marie Skłodowska-Curie Actions
Conrad N. Hilton Foundation
National Institute of Neurological Disorders and Stroke
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
MeSH Terms
Keywords
Streamline RimNet: Tools for Automatic Classification of Paramagnetic Rim Lesions in MRI of Multiple Sclerosis
Streamline RimNet: Tools for Automatic Classification of Paramagnetic Rim Lesions in MRI of Multiple Sclerosis