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Publication AI

The ADNI publication AI is a multi-lingual system capable of answering questions in multiple languages. Its responses are primarily based on information from ADNI publications.

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*This AI can be a helpful starting point, but it’s not perfect. The information provided by this Retrieval-Augmented Generation (RAG) system may be incomplete or limited in scope due to embargo restrictions on certain publications. These embargoes prevent access to data, research, or content that has not yet been officially released to the public or approved for distribution. As a result, the system’s knowledge base may lack the most recent updates, studies, or materials related to specific topics. Please double‑check any references, facts, or details before relying on them. The creators and operators of this AI system are not liable for any consequences, decisions, or actions taken based on its output. When in doubt, it’s always best to confirm things with authoritative sources.

Publication Search

ADNI publication pdfs can be searched by year, journal, author, or keyword using the search boxes below.

6413 Total Publications

Year	Title	Author	Journal
2014	CSF beta-amyloid 1–42 – what are we measuring in Alzheimer’s disease?	Hu WT1, Watts KD2, Shaw LM3, Howell JC1, Trojanowski JQ3, Basra S2, Glass JD1, Lah JJ1, Levey AI1	Journal Ann Clin Transl Neurol. ;
2014	Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness	Kim, W. H., Singh, V., Chung, M. K., Hinrichs, C., Pachauri, D., Okonkwo, O. C., & Johnson, S. C.	Journal Neuroimage;
2014	Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates	Bondi, M. W., Edmonds, E. C., Jak, A. J., Clark, L. R., Delano-Wood, L., McDonald, C. R., … Salmon, D. P.	Journal Journal of Alzheimer's Disease;
2014	Cholinergic basal forebrain atrophy predicts amyloid burden in Alzheimer’s disease	Stefan Teipel, Helmut Heinsen, Edson Amaro, Jr., Lea T. Grinberg, Bernd Krause, and Michel Grothe, for the Alzheimer’s Disease Neuroimaging Initiative.	Journal Neurobiology of Aging;
2014	Multiple instance learning for classification of dementia in brain MRI	Tong, T., Wolz, R., Gao, Q., Guerrero, R., Hajnal, J. V, & Rueckert, D.	Journal Medical Image Analysis;
2014	Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer’s dementia	Trzepacz, P. T., Yu, P., Sun, J., Schuh, K., Case, M., Witte, M. M., … Hake, A.	Journal Neurobiology of Aging;
2014	Evaluating the Predictive Power of Multivariate Tensor-based Morphometry in Alzheimers Disease Progression via Convex Fused Sparse Group Lasso	Tsao S1, Gajawelli N2, Zhou J3, Shi J3, Ye J3, Wang Y3, Lepore N2.	Journal Proc SPIE Int Soc Opt Eng;
2014	Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition	Wu, G., Kim, M., Sanroma, G., Wang, Q., Munsell, B. C., & Shen, D.	Journal Neuroimage;
2014	The Preclinical Alzheimer Cognitive Composite Measuring Amyloid-Related Decline	Donohue, M. C., Sperling, R. a, Salmon, D. P., Rentz, D. M., Raman, R., Thomas, R. G., … Aisen, P. S.	Journal JAMA Neurology;
2014	Regional cortical thinning predicts worsening apathy and hallucinations across the Alzheimer’s disease spectrum	Donovan, N. J., Wadsworth, L. P., Lorius, N., Locascio, J. J., Rentz, D. M., Johnson, K. a, … Marshall, G. a.	Journal American Journal of Geriatric Psychiatry;

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