The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods

By Clifford R. Jack Jr., M. Bernstein, Nick C Fox, Paul M. Thompson, G. Alexander, D. Harvey, Bret J. Borowski, P. Britson, Jennifer L Whitwell, C. Ward and 25 more. Journal of Magnetic Resonance Imaging, 2008

4,139 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/e22dfe0e786fe16fe9e90ca6cf598353ddd2c9f3

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In Cognitive Neuroscience

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Citations in the corpus

Deep Bayesian Hashing with Center Prior for Multi-modal Neuroimage Retrieval (2020, methodology): “We evaluate our method on three popular benchmark datasets: (1) Alzheimer’s Disease Neuroimaging Initiative ( ADNI1 ), (2) ANDI2 [44], and (3) Australian Imaging, Bio-markers and Lifestyle dataset ( AIBL ) [45].”
MRI of hippocampal volume loss in early Alzheimer's disease in relation to ApoE genotype and biomarkers (2008, positive): “…relations between faster hippocampal loss in the presence of ApoE allele e 4 and decreased CSF A b 1–42 supports the concept that increased hippocampal loss is an indicator of Alzheimer’s disease pathology and a potential marker for the efﬁcacy of therapeutic interventions in Alzheimer’s disease.”
Modeling disease progression via multi-task learning (2013, neutral): “More details on ADNI MRI imaging instrumentation and procedures (Jack et al., 2008) may be found at ADNI website (http://adni.loni.ucla.edu).”
Relevant Feature Set Estimation with a Knock-out Strategy and Random Forests (2015, positive): “In the second experimentwe used the publicly available Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset (Mueller et al., 2005; Jack et al., 2008).”
Serial PIB and MRI in normal, mild cognitive impairment and Alzheimer's disease: implications for sequence of pathological events in Alzheimer's disease (2009, neutral): “Published estimates indicate an expected test/retest reliability of (cid:2) 7% for PIB imaging (Lopresti et al ., 2005; Engler et al ., 2006).”
MRI Augmentation via Elastic Registration for Brain Lesions Segmentation (2017, background): “Alzheimer’s Disease Neuroimaging Initiative (ADNI)[9] is a database consisting of more than a thousand human brain MRI scans and is split into four classes: Normal Cohort (NC), Early Mild Cognitive Impairment (EMCI), Late Mild Cognitive Impairment (LMCI), and Alzheimer’s Disease (AD).”
Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer’s Disease Diagnosis using Structural MRI (2018, methodology): “Two public datasets downloaded from Alzheimer’s Disease Neuroimaging Initiative 1 (i.e., ADNI-1 and ADNI-2) [54] were studied in this paper.”
Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease (2018, neutral): “[45] C.”