ADNI publication pdfs can be searched by year, journal, author, or keyword using the search boxes below.
6006 Total Publications
| Year | Title | Author | Journal |
|---|---|---|---|
| 2024 | Modeling functional loss in Alzheimer's Disease through cognitive reserve and cognitive state: A panel data longitudinal study | L. Veronelli; G. Tosi; D. Romano | Journal Neurobiol Aging; |
| 2024 | Characterizing the clinical heterogeneity of early symptomatic Alzheimer's disease: a data-driven machine learning approach | X. Wang; T. Ye; D. Jiang; W. Zhou; J. Zhang | Journal Front Aging Neurosci; |
| 2024 | Divergent neurodegenerative patterns: Comparison of [(18)F] fluorodeoxyglucose-PET- and MRI-based Alzheimer's disease subtypes | S. H. Wheatley; R. Mohanty; K. Poulakis; F. Levin; J. S. Muehlboeck; A. Nordberg; M. J. Grothe; D. Ferreira; E. Westman | Journal Brain Commun; |
| 2024 | Model-free Variable Selection and Inference for High-dimensional Data | S. Ye; S. Rakshe; Y. Liang | Journal arXiv preprint arXiv:2410.19031; |
| 2024 | Morphometry of medial temporal lobe subregions using high-resolution T2-weighted MRI in ADNI3: Why, how, and what's next? | P. A. Yushkevich; R. Ittyerah; Y. Li; A. E. Denning; N. Sadeghpour; S. Lim; E. McGrew; L. Xie; R. DeFlores; C. A. Brown; L. E. M. Wisse; D. A. Wolk; S. R. Das; f. t. A. s. D. N. Initiative | Journal Alzheimer's & Dementia; |
| 2024 | Automated classification of Alzheimer's disease, mild cognitive impairment, and cognitively normal patients using 3D convolutional neural network and radiomic features from T1-weighted brain MRI: A comparative study on detection accuracy | A. Zarei; A. Keshavarz; E. Jafari; R. Nemati; A. Farhadi; A. Gholamrezanezhad; H. Rostami; M. Assadi | Journal Clin Imaging; |
| 2024 | Shape Mediation Analysis in Alzheimer's Disease Studies | X. Zhou; M. Yeon; J. Wang; S. Ding; K. Lei; Y. Zhao; R. Liu; C. Huang | Journal Stat Med; |
| 2024 | DeepComBat: A statistically motivated, hyperparameter-robust, deep learning approach to harmonization of neuroimaging data | F. Hu; A. Lucas; A. A. Chen; K. Coleman; H. Horng; R. W. S. Ng; N. J. Tustison; K. A. Davis; H. Shou; M. Li; R. T. Shinohara | Journal Journal of Causal Inference; |
| 2024 | Semi-Functional Partial Linear Quantile Regression Model with Randomly Censored Responses | N. Ling; J. Yang; T. Yu; H. Ding; Z. Jia | Journal Hum Brain Mapp; |
| 2024 | Multi-task joint learning network based on adaptive patch pruning for Alzheimer’s disease diagnosis and clinical score prediction | F. Liu; S. Yuan; W. Li; Q. Xu; X. Wu; K. Han; J. Wang; S. Miao | Journal IEEE Transactions on Knowledge and Data Engineering; |
Due to serious data quality concerns, all data with PTIDs containing the format 381_S_10### have been removed from the ADNI data repository. ADNI leadership strongly advises that data with these PTIDs not be used in any data analysis, submission of abstracts, or publications. Furthermore, ADNI leadership requests that any abstracts or papers which have been submitted using this data be appropriately revised due to concerns with data quality. More information click here.