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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
2015	A novel cortical thickness estimation method based on volumetric Laplace–Beltrami operator and heat kernel	Wang, G., Zhang, X., Su, Q., Shi, J., Caselli, R. J., & Wang, Y.	Journal Medical Image Analysis;
2015	Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis	Ortiz A1, Munilla J1, Álvarez-Illán I1, Górriz JM2, Ramírez J2; Alzheimer's Disease Neuroimaging Initiative	Journal Front Comput Neurosci;
2015	Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease	Schmidt-Richberg, A., Guerrero, R., Ledig, C., Molina-Abril, H., Frangi, A. F., Rueckert, D., & The Alzheimer’s Disease Neuroimaging Inititative.	Journal Inf Process Med Imaging;
2015	Fusing Heterogeneous Data for Alzheimer's Disease Classification	Pillai, P. S., & Leong, T.-Y.	Journal Studies in Health Technology and Informatics;
2015	Linking Genetics of Brain Changes to Alzheimer's Disease: Sparse Whole Genome Association Scan of Regional MRI Volumes in the ADNI and AddNeuroMed Cohorts	Khondoker, M., Newhouse, S., Westman, E., Muehlboeck, J.-S., Mecocci, P., Vellas, B., … Simmons, A.	Journal Journal of Alzheimer's Disease;
2015	A Multi-Marker Genetic Association Test Based on the Rasch Model Applied to Alzheimer’s Disease	Wang W, Mandel J, Bouaziz J, Commenges D, Nabirotchkine S, Chumakov I, Cohen D, Guedj M; Alzheimer’s Disease Neuroimaging Initiative.	Journal PLoS One;
2015	Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimer’s disease	Zhan L, Zhou J, Wang Y, Jin Y, Jahanshad N, Prasad G, Nir TM, Leonardo CD, Ye J, Thompson PM, For The Alzheimer's Disease Neuroimaging Initiative.	Journal Frontiers in Aging Neuroscience;
2015	Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis	Suk, H.-I., Lee, S.-W., & Shen, D.	Journal Brain Structure and Function;
2015	An Integrated Bioinformatics Approach for Identifying Genetic Markers that Predict Cerebrospinal Fluid Biomarker p-tau181/A􏰀1-42 Ratio in ApoE4-Negative Mild Cognitive Impairment Patients	Sun, Y., Bresell, A., Rantalainen, M., Hoglund, K., Lebouvier, T., & Salter, H.	Journal Journal of Alzheimer's Disease;
2015	Functional Activities Questionnaire items that best discriminate and predict progression from clinically normal to mild cognitive impairment	Marshall GA, Zoller AS, Lorius N, Amariglio RE, Locascio JJ, Johnson KA, Sperling RA, Rentz DM, and for the Alzheimer’s Disease Neuroimaging Initiative.	Journal Current Alzheimer's Research;

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