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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.

6006 Total Publications

Year	Title	Author	Journal
2014	Subgroups of Alzheimer’s Disease: Stability of Empirical Clusters Over Time	Peter, J., Abdulkadir, A., Kaller, C., Kümmerer, D., Hüll, M., Vach, W., & Klöppel, S.	Journal Journal of Alzheimer's Disease;
2014	Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines	Khedher, L., Ramirez, J., Gorriz, J. M., & Brahim, A.	Journal Studies in Health Technology and Informatics;
2014	Optimal treatment of Alzheimer’s disease psychosis: challenges and solutions	Koppel J1, Greenwald BS2	Journal Neuropsychiatric Dis. Treatment;
2014	Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer’s Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning	J., W., Z., Z., B.D., R., S., F., J., Y., A.J., S., & L., S.	Journal IEEE Transactions on Medical Imaging;
2014	integrative analysis of multi-dimensional imaging genomics data for alzheimers disease prediction	Zhang, Z., Huang, H., & Shen, D.	Journal Frontiers in Aging Neuroscience;
2014	Subclass-based multi-task learning for Alzheimer’s disease diagnosis	Suk, H.-I., Lee, S.-W., & Shen, D.	Journal Frontiers in Aging Neuroscience;
2014	Clustering-Induced Multi-task Learning for AD/MCI Classification	Suk, H.-I., & Shen, D.	Journal Medical Image Computing and Computer-Assisted Intervention;
2014	Anxiety Symptoms in Amnestic Mild Cognitive Impairment Are Associated with Medial Temporal Atrophy and Predict Conversion to Alzheimer Disease	Mah, L., Binns, M. a, & Steffens, D. C	Journal American Journal of Geriatric Psychiatry;
2014	Alterations in brain leptin signalling in spite of unchanged CSF leptin levels in Alzheimer’s disease	Maioli, S., Lodeiro, M., Merino-Serrais, P., Falahati, F., Khan, W., Puerta, E., … Cedazo-Minguez, A.	Journal Aging Cell;
2014	Everyday Cognition scale items that best discriminate between and predict progression from clinically normal to mild cognitive impairment	Marshall, G. A., Zoller, A. S., Kelly, K. E., Amariglio, R. E., Locascio, J. J., Johnson, K. A., … For The Alzheimer’s Disease Neuroimaging Initiative.	Journal Current Alzheimer's Research;

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