×
  • Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.
Filter results by:

3393 Total Publications

Development and Validation of a Deep Learning-Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images
Suh, CH, Shim, WH, Kim, SJ, Roh, JH, Lee, JH, Kim, MJ, Park, S, Jung, W, Sung, J and Jahng, GH
2020; Journal AJNR Am J Neuroradiol; vol. 41; no. 12; pp. 2227-2234;
Directed Network Defects in Alzheimer's Disease Using Granger Causality and Graph Theory
Sun, M, Xie, H and Tang, Y
2020; Journal Current Alzheimer Research; vol. 17; no. 10; pp. 939-947;
A probabilistic atlas of locus coeruleus pathways to transentorhinal cortex for connectome imaging in Alzheimer's disease
Sun, W, Tang, Y, Qiao, Y, Ge, X, Mather, M, Ringman, JM and Shi, Y
2020; Journal Neuroimage; vol. 223; pp. 117301;
Genome-Wide Association Study Identifies SLAMF1 Affecting the Rate of Memory Decline
Chen, SD, Li, HQ, Shen, XN, Li, JQ, Xu, W, Huang, YY, Tan, L, Dong, Q and Yu, JT
2020; Journal J Alzheimers Dis; vol. 74; no. 1; pp. 139-149;
Cortical surface registration using unsupervised learning
Cheng, JY, Dalca, AV, Fischl, B, Zollei, L and Alzheimers Dis Neuroimaging, I
2020; Journal Neuroimage; vol. 221;
Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer's disease to Parkinson's disease
Choi, H, Kim, YK, Yoon, EJ, Lee, JY and Lee, DS
2020; Journal European Journal of Nuclear Medicine and Molecular Imaging; vol. 47; no. 2; pp. 403-412;
Correlates and Predictors of Cerebrospinal Fluid Cholesterol Efflux Capacity from Neural Cells, a Family of Biomarkers for Cholesterol Epidemiology in Alzheimer's Disease
Cipollari, E, Szapary, HJ, Picataggi, A, Billheimer, JT, Lyssenko, CA, Ying, GS, Shaw, LM, Kling, MA, Kaddurah-Daouk, R, Rader, DJ, Pratico, D, Lyssenko, NN and Alzheimers Dis Metabolomics, C
2020; Journal Journal of Alzheimers Disease; vol. 74; no. 2; pp. 563-578;
Multitracer model for staging cortical amyloid deposition using PET imaging
Collij, LE, Heeman, F, Salvadó, G, Ingala, S, Altomare, D, de Wilde, A, Konijnenberg, E, van Buchem, M, Yaqub, M, Markiewicz, P, Golla, SSV, Wottschel, V, Wink, AM, Visser, PJ, Teunissen, CE, Lammertsma, AA, Scheltens, P, van der Flier, WM, Boellaard, R, van Berckel, BNM, Molinuevo, JL, Gispert, JD, Schmidt, ME, Barkhof, F and Lopes Alves, I
2020; Journal Neurology; vol. 95; no. 11; pp. e1538-e1553;
Volumetric GWAS of medial temporal lobe structures identifies an ERC1 locus using ADNI high-resolution T2-weighted MRI data
Cong, S, Yao, X, Huang, Z, Risacher, SL, Nho, K, Saykin, AJ and Shen, L
2020; Journal Neurobiol Aging; vol. 95; pp. 81-93;
The temporal relationships between white matter hyperintensities, neurodegeneration, amyloid beta, and cognition
Dadar, M, Camicioli, R, Duchesne, S and Collins, DL
2020; Journal Alzheimers Dement (Amst); vol. 12; no. 1; pp. e12091;