Early Detection of Alzheimer’s Disease Using Magnetic Resonance Imaging: A Novel Approach Combining Convolutional Neural Networks and Ensemble Learning is a research paper published in Frontiers in Neuroscience (2020). On theSindex it has a DataRank of 0.868. It has been cited 326 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.868
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 →National Natural Science Foundation of China
Grant: 61976058
National Natural Science Foundation of China
Grant: 61772143
National Natural Science Foundation of China
Grant: 61300107
Natural Science Foundation of Guangdong Province
Grant: S2012010010212
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
Canadian Institutes of Health Research
Grant: unidentified
unidentified
Fields of Study
Keywords
Additional file 1 of Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer’s disease in patients with mild cognitive symptoms
Additional file 1 of Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer’s disease in patients with mild cognitive symptoms