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Thickness network features for prognostic applications in dementia.
Raamana PR, Weiner MW, Wang L, Beg MF; Alzheimer's Disease Neuroimaging Initiative. Raamana PR, et al. Among authors: wang l. Neurobiol Aging. 2015 Jan;36 Suppl 1(Suppl 1):S91-S102. doi: 10.1016/j.neurobiolaging.2014.05.040. Epub 2014 Sep 6. Neurobiol Aging. 2015. PMID: 25444603 Free PMC article.
Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Structural Magnetic Resonance Images.
Ma D, Lu D, Popuri K, Wang L, Beg MF; Alzheimer's Disease Neuroimaging Initiative. Ma D, et al. Among authors: wang l. Front Neurosci. 2020 Oct 22;14:853. doi: 10.3389/fnins.2020.00853. eCollection 2020. Front Neurosci. 2020. PMID: 33192235 Free PMC article.
Construction of MRI-Based Alzheimer's Disease Score Based on Efficient 3D Convolutional Neural Network: Comprehensive Validation on 7,902 Images from a Multi-Center Dataset.
Yee E, Ma D, Popuri K, Wang L, Beg MF; The Alzheimer’s Disease Neuroimaging Initiative; The Australian Imaging Biomarkers and Lifestyle flagship study of ageing. Yee E, et al. Among authors: wang l. J Alzheimers Dis. 2021;79(1):47-58. doi: 10.3233/JAD-200830. J Alzheimers Dis. 2021. PMID: 33252079 Free PMC article.
Transfer learning for predicting conversion from mild cognitive impairment to dementia of Alzheimer's type based on a three-dimensional convolutional neural network.
Bae J, Stocks J, Heywood A, Jung Y, Jenkins L, Hill V, Katsaggelos A, Popuri K, Rosen H, Beg MF, Wang L; Alzheimer's Disease Neuroimaging Initiative. Bae J, et al. Among authors: wang l. Neurobiol Aging. 2021 Mar;99:53-64. doi: 10.1016/j.neurobiolaging.2020.12.005. Epub 2020 Dec 13. Neurobiol Aging. 2021. PMID: 33422894 Free PMC article.
136,325 results
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