Publications

ADNI publication pdfs can be searched by year, journal, author, or keyword using the search boxes below.

Year Range
-
Journal
Authors
Keyword

5586 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;
2025 Alzheimer’s Disease Neuroimaging Initiative
This website is funded by the Alzheimer’s Disease Neuroimaging Initiative