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3393 Total Publications

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;
Predicting long-term clinical stability in amyloid-positive subjects by FDG-PET
Iaccarino, L, Sala, A, Perani, D and Alzheimers Dis Neuroimaging, I
2019; Journal Annals of Clinical and Translational Neurology; vol. 6; no. 6; pp. 1113-1120;
C9orf72 intermediate expansions of 24-30 repeats are associated with ALS
Iacoangeli, A, Al Khleifat, A, Jones, AR, Sproviero, W, Shatunov, A, Opie-Martin, S, Morrison, KE, Shaw, PJ, Shaw, CE, Fogh, I, Dobson, RJ, Newhouse, SJ, Al-Chalabi, A and Alzheimer's Dis, N
2019; Journal Acta Neuropathologica Communications; vol. 7; pp. 7;
The MS4A gene cluster is a key modulator of soluble TREM2 and Alzheimer's disease risk
Deming, Y, Filipello, F, Cignarella, F, Cantoni, C, Hsu, S, Mikesell, R, Li, ZR, Del-Aguila, JL, Dube, U, Farias, FG, Bradley, J, Budde, J, Ibanez, L, Fernandez, MV, Blennow, K, Zetterberg, H, Heslegrave, A, Johansson, PM, Svensson, J, Nellgard, B, Lleo, A, Alcolea, D, Clarimon, J, Rami, L, Molinuevo, JL, Suarez-Calvet, M, Morenas-Rodriguez, E, Kleinberger, G, Ewers, M, Harari, O, Haass, C, Brett, TJ, Benitez, BA, Karch, CM, Piccio, L and Cruchaga, C
2019; Journal Science Translational Medicine; vol. 11; no. 505; pp. 18;
Differentiating Between Healthy Control Participants and Those with Mild Cognitive Impairment Using Volumetric MRI Data
DeVivo, R, Zajac, L, Mian, A, Cervantes-Arslanian, A, Steinberg, E, Alosco, ML, Mez, J, Stelll, R, Killany, R and Alzheimers Dis Neuroimaging, I
2019; Journal Journal of the International Neuropsychological Society; vol. 25; no. 8; pp. 800-810;
Clustering-based multi-view network fusion for estimating brain network atlases of healthy and disordered populations
Dhifallah, S, Rekik, I and Alzheimers Dis, N
2019; Journal Journal of Neuroscience Methods; vol. 311; pp. 426-435;
An artificial neural network model for clinical score prediction in Alzheimer disease using structural neuroimaging measures
Bhagwat, N., Pipitone, J., Voineskos, A. N. and Chakravarty, M. M.
2019; Journal J Psychiatry Neurosci; vol. 44; no. 2; pp. 15-Jan;
Obstructive Sleep Apnea and Longitudinal Alzheimer's disease biomarker changes
Bubu, O. M., Pirraglia, E., Andrade, A. G., Sharma, R. A., Gimenez-Badia, S., Umasabor-Bubu, O. Q., Hogan, M. M., Shim, A. M., Mukhtar, F., Sharma, N., Mbah, A. K., Seixas, A. A., Kam, K., Zizi, F., Borenstein, A. R., Mortimer, J. A., Kip, K. E., Morgan, D., Rosenzweig, I., Ayappa, I., Rapoport, D. M., Jean-Louis, G., Varga, A. W. and Osorio, R. S.
2019; Journal Sleep;