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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
2013	Standardization of analysis sets for reporting results from ADNI MRI data.	Wyman, B. T., Harvey, D. J., Crawford, K., Bernstein, M. a, Carmichael, O., Cole, P. E., ‚Ä¶ Jack, C. R.	Journal Alzheimer's and Dementia;
2013	Subgroup of ADNI normal controls characterized by atrophy and cognitive decline associated with vascular damage.	Nettiksimmons, J., Beckett, L., Schwarz, C., Carmichael, O., Fletcher, E., & Decarli, C.	Journal Psychology and Aging;
2013	CSF alpha-synuclein improves diagnostic and prognostic performance of CSF tau and Abeta in Alzheimer‚Äôs disease.	Toledo, J. B., Korff, A., Shaw, L. M., Trojanowski, J. Q., & Zhang, J.	Journal Acta Neuropathologica;
2013	Cortical surface biomarkers for predicting cognitive outcomes using group l2,1 norm	Yan, J., Li, T., Wang, H., Huang, H., Wan, J., Nho, K., ‚Ä¶ Shen, L.	Journal Neurobiology of aging ;
2012	Combining patient-level and summary-level data for Alzheimer’s disease modeling and simulation: a β regression meta-analysis.	Rogers, J. A., Polhamus, D., Gillespie, W. R., Ito, K., Romero, K., Qiu, R., … Corrigan, B.	Journal Journal of Pharmacokinetics and Pharmacodynamics;
2012	Predicting missing biomarker data in a longitudinal study of Alzheimer disease.	Lo, R. Y., & Jagust, W. J.	Journal Neurology;
2012	Discrimination of Alzheimer’s disease using hippocampus texture features from MRI.	Rajeesh, J.	Journal Asian Biomed;
2012	Increasing Power for Voxel-wise Genome-wide Association Studies: The Random Field Theory, Least Square Kernel Machines and Fast Permutation Procedures.	Ge, T., Feng, J., Hibar, D. P., Thompson, P. M., & Nichols, T. E.	Journal Neuroimage;
2012	Biomarker discovery for sparse classification of brain images in Alzheimer’s disease.	Janousova, E., Vounou, M., Wolz, R., Gray, K. R., Rueckert, D., Montana, G., & Adni.	Journal Annals of the BMVA;
2012	Test-retest reliability of a new medial temporal atrophy morphological metric.	Duchesne, S., Valdivia, F., Mouiha, A., & Robitaille, N.	Journal International Journal of Alzheimer's Disease;

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