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2110 Total Publications

Personalized risk for clinical progression in cognitively normal subjects-the ABIDE project
van Maurik, ISS, R. E. R.: Verfaillie, S. C. J.: Zwan, M. D.: Bouwman, F. H.: Prins, N. D.: Teunissen, C. E.: Scheltens, P.: Barkhof, F.: Wattjes, M. P.: Molinuevo, J. L.: Rami, L.: Wolfsgruber, S.: Peters, O.: Jessen, F.: Berkhof, J.: van der Flier, W. M.
2019; Journal Alzheimers Res Ther; vol. 11; no. 1; pp. 33;
Covariance statistics and network analysis of brain PET imaging studies
Veronese, M, Moro, L, Arcolin, M, Dipasquale, O, Rizzo, G, Expert, P, Khan, W, Fisher, PM, Svarer, C, Bertoldo, A, Howes, O and Turkheimer, FE
2019; Journal Scientific Reports; vol. 9; pp. 15;
Targeted genetic analysis of cerebral blood flow imaging phenotypes implicates the INPP5D gene
Yao, XH, Risacher, SL, Nho, K, Saykin, AJ, Wang, Z, Shen, L and Alzheimers Dis Neuroimaging, I
2019; Journal Neurobiology of Aging; vol. 81; pp. 213-221;
Association of CSF CD40 levels and synaptic degeneration across the Alzheimer's disease spectrum
Ye, XW, Zhou, WJ, Zhang, J, Weiner, MW, Aisen, P, Weiner, M, Petersen, R, Jack, CR, Jagust, W, Trojanowki, JQ, Toga, AW, Beckett, L, Green, RC, Saykin, AJ, Morris, J, Shaw, LM, Khachaturian, Z, Sorensen, G, Carrillo, M, Kuller, L, Raichle, M, Paul, S, Davies, P, Fillit, H, Hefti, F, Holtzman, D, Mesulam, MM, Potter, W, Snyder, P, Lilly, E, Logovinsky, V, Montine, T, Jimenez, G, Donohue, M, Gessert, D, Harless, K, Salazar, J, Cabrera, Y, Walter, S, Hergesheimer, L, Harvey, D, Bernstein, M, Fox, N, Thompson, P, Schuff, N, DeCarli, C, Borowski, B, Gunter, J, Senjem, M, Vemuri, P, Jones, D, Kantarci, K, Ward, C, Koeppe, RA, Foster, N, Reiman, EM, Chen, KW, Mathis, C, Landau, S, Morris, JC, Cairns, NJ, Franklin, E, Taylor-Reinwald, L, Lee, V, Korecka, M, Figurski, M, Crawford, K, Neu, S, Foroud, TM, Potkin, S, Shen, L, Faber, K, Kim, S, Nho, K, Thal, L, Thal, L, Buckholtz, N, Snyder, PJ, Albert, M, Frank, R, Hsiao, J, Quinn, J, Silbert, LC, Lind, B, Kaye, JA, Carter, R, Dolen, S, Schneider, LS, Pawluczyk, S, Becerra, M, Teodoro, L, Spann, BM, Brewer, J, Vanderswag, H, Fleisher, A, Ziolkowski, J, Heidebrink, JL, Lord, JL, Mason, SS, Albers, CS, Knopman, D, Johnson, K, Villanueva-Meyer, J, Pavlik, V, Pacini, N, Lamb, A, Kass, JS, Doody, RS, Shibley, V, Chowdhury, M, Rountree, S, Dang, MM, Stern, Y, Honig, LS, Bell, KL, Yeh, R, Ances, B, Winkfield, D, Carroll, M, Oliver, A, Creech, ML, Mintun, MA, Schneider, S, Marson, D, Geldmacher, D, Love, MN, Griffith, R, Clark, D, Brockington, J, Grossman, H, Mitsis, E, Shah, RC, Lamar, M, Samuels, P, Duara, R, Greig-Custo, MT, Rodriguez, R, Onyike, C, D'Agostino, D, Kielb, S, Witbracht, M, Sadowski, M, Sheikh, MO, Singleton-Garvin, J, Ulysse, A, Gaikwad, M, Doraiswamy, PM, Petrella, JR, James, O, Borges-Neto, S, Wong, TZ, Coleman, E, Karlawish, JH, Wolk, DA, Vaishnavi, S, Clark, CM, Arnold, SE, Smith, CD, Jicha, G, Hardy, P, El Khouli, R, Oates, E, Conrad, G, Lopez, OL, Oakley, M, Simpson, DM, Porsteinsson, AP, Martin, K, Kowalksi, N, Keltz, M, Goldstein, BS, Makino, KM, Ismail, MS, Brand, C, Thai, G, Pierce, A, Yanez, B, Sosa, E, Womack, K, Mathews, D, Quiceno, M, Levey, AI, Lah, JJ, Cellar, JS, Burns, JM, Swerdlow, RH, Brooks, WM, Woo, E, Silverman, DHS, Teng, E, Kremen, S, Apostolova, L, Tingus, K, Lu, PH, Bartzokis, G, Graff-Radford, NR, Parfitt, F, Poki-Walker, K, Farlow, MR, Hake, AM, Matthews, BR, Brosch, JR, Herring, S, van Dyck, CH, Carson, RE, Varma, P, Chertkow, H, Bergman, H, Hosein, C, Black, S, Stefanovic, B, Heyn, C, Hsiung, GYR, Mudge, B, Sossi, V, Feldman, H, Assaly, M, Finger, E, Pasternack, S, Pavlosky, W, Rachinsky, I, Drost, D, Kertesz, A, Bernick, C, Munic, D, Mesulam, MM, Rogalski, E, Lipowski, K, Weintraub, S, Bonakdarpour, B, Kerwin, D, Wu, CK, Johnson, N, Sadowsky, C, Villena, T, Turner, RS, Johnson, K, Reynolds, B, Sperling, RA, Johnson, KA, Marshall, GA, Yesavage, J, Taylor, JL, Chao, S, Lane, B, Rosen, A, Tinklenberg, J, Zamrini, E, Belden, CM, Sirrel, SA, Kowall, N, Killiany, R, Budson, AE, Norbash, A, Johnson, PL, Obisesan, TO, Oyonumo, NE, Allard, J, Ogunlana, O, Lerner, A, Ogrocki, P, Tatsuoka, C, Fatica, P, Fletcher, E, Maillard, P, Olichney, J, Carmichael, O, Kittur, S, Borrie, M, Lee, TY, Bartha, R, Johnson, S, Asthana, S, Carlsson, CM, Tariot, P, Burke, A, Hetelle, J, DeMarco, K, Trncic, N, Reeder, S, Bates, V, Capote, H, Rainka, M, Scharre, DW, Kataki, M, Tarawneh, R, Zimmerman, EA, Celmins, D, Hart, D, Pearlson, GD, Blank, K, Anderson, K, Flashman, LA, Seltzer, M, Hynes, ML, Santulli, RB, Sink, KM, Yang, M, Mintz, A, Ott, BR, Tremont, G, Daiello, LA, Bodge, C, Salloway, S, Malloy, P, Correia, S, Lee, A, Rosen, HJ, Miller, BL, Perry, D, Mintzer, J, Spicer, K, Bachman, D, Pasternak, S, Rogers, J, Pomara, N, Hernando, R, Sarrael, A, Miller, DD, Smith, KE, Koleva, H, Nam, KW, Shim, H, Schultz, SK, Relkin, N, Chiang, G, Lin, M, Ravdin, L, Smith, A, Leach, C, Raj, BA, Fargher, K, Neylan, T, Grafman, J, Friedl, K, Hayes, J, Finley, S, Householder, E, Fleischman, D, Arfanakis, K, Varon, D, Greig, MT, Goldstein, B, Martin, KS, Potkin, SG, Preda, A, Nguyen, D, Massoglia, D, Brawman-Mintzer, O, Martinez, W, Rosen, H, Behan, K, Marshall, G, Sabbagh, MN, Jacobson, SA, Wolday, S, Johnson, SC, Fruehling, JJ, Harding, S, Peskind, ER, Petrie, EC, Li, G, Yesavage, JA, Furst, AJ, Mackin, S, Raman, R, Drake, E, Donohue, M, Shaffer, E, Nelson, C, Bickford, D, Butters, M, Zmuda, M, Reyes, D, Faber, KM, Nudelman, KN, Au, YH, Scherer, K, Catalinotto, D, Stark, S, Ong, E, Fernandez, D and Alzheimers Dis Neuroimaging, I
2019; Journal Neuroscience Letters; vol. 694; pp. 41-45;
Distinct Neural Correlates of Executive Function by Amyloid Positivity and Associations with Clinical Progression in Mild Cognitive Impairment
Yoon, HJ, Kim, SG, Kim, SH, Choo, IH, Park, SH, Seo, EH and Alzheimers Dis Neuroimaging, I
2019; Journal Yonsei Medical Journal; vol. 60; no. 10; pp. 935-943;
Multi-modal deep learning model for auxiliary diagnosis of Alzheimer's disease
Zhang, F, Li, Z, Zhang, B, Du, H, Wang, B and Zhang, X
2019; Journal Neurocomputing; vol. 361; pp. 185-195;
Multi-atlas label fusion with random local binary pattern features: Application to hippocampus segmentation
Zhu, H, Tang, Z, Cheng, H, Wu, Y and Fan, Y
2019; Journal Sci Rep; vol. 9; no. 1; pp. 16839;
Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification
Zhu, XF, Suk, HI and Shen, DG
2019; Journal World Wide Web-Internet and Web Information Systems; vol. 22; no. 2; pp. 907-925;