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3393 Total Publications

Computer aided Alzheimer's disease diagnosis by an unsupervised deep learning technology
Bi, X, Li, S, Xiao, B, Li, Y, Wang, G and Ma, X
2019; Journal Neurocomputing;
Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction
Brand, L, Nichols, K, Wang, H, Shen, L and Huang, H
2019; Journal IEEE Trans Med Imaging;
White matter in different regions evolves differently during progression to dementia
Dadar, M, Maranzano, J, Ducharme, S, Collins, DL, 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 Neurobiology of Aging; vol. 76; pp. 71-79;
Benchmarking functional connectome-based predictive models for resting-state fMRI
Dadi, K, Rahim, M, Abraham, A, Chyzhyk, D, Milham, M, Thirion, B, Varoquaux, G and Alzheimers Dis Neuroimaging, I
2019; Journal Neuroimage; vol. 192; pp. 115-134;
Braak neurofibrillary tangle staging prediction from in vivo MRI metrics
Dallaire-Théroux, C, Beheshti, I, Potvin, O, Dieumegarde, L, Saikali, S and Duchesne, S
2019; Journal Alzheimers Dement (Amst); vol. 11; pp. 599-609;
An interpretable machine learning model for diagnosis of Alzheimer's disease
Das, D., Ito, J., Kadowaki, T. and Tsuda, K.
2019; Journal PeerJ; vol. 7; pp. e6543;
Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3
Zavaliangos-Petropulu,A, Nir,TM, Thomopoulos,SI, Reid,RI, Bernstein,MA, Borowski,B, Jack, CR, Weiner,MW, Jahanshad,N, Thompson,PM.
2019; Journal Frontiers Neuroinformatics; vol. 13; no. 2;
The relationship between domain-specific subjective cognitive decline and Alzheimer's pathology in normal elderly adults
Shokouhi, S, Conley, AC, Baker, SL, Albert, K, Kang, H, Gwirtsman, HE, Newhouse, PA and Alzheimers Dis Neuroimaging, I
2019; Journal Neurobiology of Aging; vol. 81; pp. 22-29;
TREML2 Mutation Mediate Alzheimer's Disease Risk by Altering Neuronal Degeneration
Song, YNL, J. Q.: Tan, C. C.: Wang, H. F.: Tan, M. S.: Cao, X. P.: Yu, J. T.: Tan, L.
PMID: 31156362 ; 2019; Journal Front Neurosci; vol. 13; pp. 455;
A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease
Spasov, S., Passamonti, L., Duggento, A., Lio, P. and Toschi, N.
2019; Journal Neuroimage; vol. 189; pp. 276-287;