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2110 Total Publications

Automatically computed rating scales from MRI for patients with cognitive disorders
Koikkalainen, J. R., Rhodius-Meester, H. F. M., Frederiksen, K. S., Bruun, M., Hasselbalch, S. G., Baroni, M., Mecocci, P., Vanninen, R., Remes, A., Soininen, H., van Gils, M., van der Flier, W. M., Scheltens, P., Barkhof, F., Erkinjuntti, T. and Lotjonen, J. M. P.
2019; Journal Eur Radiol;
Reciprocal Predictive Relationships between Amyloid and Tau Biomarkers in Alzheimer's Disease Progression: An Empirical Model
Krance, SH, Cogo-Moreira, H, Rabin, JS, Black, SE, Swardfager, W and Alzheimers Dis, N
2019; Journal Journal of Neuroscience; vol. 39; no. 37; pp. 7428-7437;
Genome-wide association study identifies Alzheimer's risk variant in MS4A6A influencing cerebrospinal fluid sTREM2 levels
Hou, XH, Bi, YL, Tan, MS, Xu, W, Li, JQ, Shen, XN, Dou, KX, Tan, CC, Tan, L, Yu, JT and Alzheimer's Dis, N
2019; Journal Neurobiology of Aging; vol. 84; pp. 8;
A multipredictor model to predict the conversion of mild cognitive impairment to Alzheimer’s disease by using a predictive nomogram
Huang, K, Lin, Y, Yang, L, Wang, Y, Cai, S, Pang, L, Wu, X and Huang, L
2019; Journal Neuropsychopharmacology; pp. 9-Jan;
Reduced brain amyloid burden in elderly patients with narcolepsy type 1
Gabelle, A., Jaussent, I., Bouallègue, F. B., Lehmann, S., Lopez, R., Barateau, L., ... & Mariano‐Goulart, D
2019; Journal Annals of Neurology; vol. 85; no. 1; pp. 74-83;
Multi-stream multi-scale deep convolutional networks for Alzheimer's disease detection using MR images
Ge, C, Qu, Q, Gu, IYH and Jakola, AS
2019; Journal Neurocomputing; vol. 350; pp. 60-69;
Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data
Fan, SL, Kind, T, Cajka, T, Hazen, SL, Tang, WHW, Kaddurah-Daouk, R, Irvin, MR, Arnett, DK, Barupal, DK and Fiehn, O
PMID: 30758187 ; 2019; Journal Analytical Chemistry; vol. 91; no. 5; pp. 3590-3596;
Multi-target Interactive Neural Network for Automated Segmentation of the Hippocampus in Magnetic Resonance Imaging
Hou, BB, Kang, GX, Zhang, NB and Liu, K
2019; Journal Cognitive Computation; vol. 11; no. 5; pp. 630-643;
Dilated Saliency U-Net for White Matter Hyperintensities Segmentation Using Irregularity Age Map
Jeong, Y, Rachmadi, MF, Valdes-Hernandez, MD and Komura, T
2019; Journal Frontiers in Aging Neuroscience; vol. 11; pp. 14;
Association of Altered Liver Enzymes With Alzheimer Disease Diagnosis, Cognition, Neuroimaging Measures, and Cerebrospinal Fluid Biomarkers
Nho, K, Kueider-Paisley, A, Ahmad, S, MahmoudianDehkordi, S, Arnold, M, Risacher, SL, Louie, G, Blach, C, Baillie, R, Han, X, Kastenmüller, G, Trojanowski, JQ, Shaw, LM, Weiner, MW, Doraiswamy, PM, van Duijn, C, Saykin, AJ and Kaddurah-Daouk, R
2019; Journal JAMA Netw Open; vol. 2; no. 7; pp. e197978;