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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
2019	Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling	Ghazi, MM, Nielsen, M, Pai, A, Cardoso, MJ, Modat, M, Ourselin, S, Sorensen, L and Alzheimers Dis Neuroimaging, I	Journal Medical Image Analysis;
2019	A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures	Grassi, MR, N.: Caldirola, D.: Loewenstein, D.: Schruers, K.: Perna, G.: Dumontier, M.	Journal Front Neurol;
2019	Genome-wide association study of hippocampal atrophy rate in non-demented elders	Guo, Y, Xu, W, Li, JQ, Ou, YN, Shen, XN, Huang, YY, Dong, Q, Tan, L, Yu, JT and Alzheimers Dis Neuroimaging, I	Journal Aging-Us;
2019	Characterization of white matter changes along fibers by automated fiber quantification in the early stages of Alzheimer's disease	Zhang, X., Sun, Y., Li, W., Liu, B., Wu, W., Zhao, H., Liu, R., Zhang, Y., Yin, Z., Yu, T., Qing, Z., Zhu, B., Xu, Y., Nedelska, Z., Hort, J. and Zhang, B.	Journal Neuroimage Clin;
2019	Structured Genome-Wide Association Studies with Bayesian Hierarchical Variable Selection	Zhao, YZ, H.: Lu, Z.: Knickmeyer, R. C.: Zou, F.	Journal Genetics;
2019	Multi-modal AD classification via self-paced latent correlation analysis	Zhu, Q, Yuan, N, Huang, J, Hao, X and Zhang, D	Journal Neurocomputing;
2019	Discriminative self-representation sparse regression for neuroimaging-based alzheimer's disease diagnosis	Zhu, XF, Suk, HI, Lee, SW and Shen, DG	Journal Brain Imaging and Behavior;
2019	Default Mode Network Connectivity Moderates the Relationship Between the APOE Genotype and Cognition and Individualizes Identification Across the Alzheimer's Disease Spectrum	Zhu, Y, Gong, L, He, CC, Wang, Q, Ren, QG, Xie, CM and Alzheimers Dis Neuroimaging, I	Journal Journal of Alzheimers Disease;
2019	Mid-sagittal plane detection for advanced physiological measurements in brain scans	Bertacchini, F, Rizzo, R, Bilotta, E, Pantano, P, Luca, A, Mazzuca, A, Lopez, A and Alzheimers Dis, N	Journal Physiological Measurement;
2019	Computer aided Alzheimer's disease diagnosis by an unsupervised deep learning technology	Bi, X, Li, S, Xiao, B, Li, Y, Wang, G and Ma, X	Journal Neurocomputing;

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