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4453 Total Publications

A machine learning approach towards detecting dementia based on its modifiable risk factors
Bin-Hezam, R and Ward, TE
2019; Journal International Journal of Advanced Computer Science and Applications; vol. 10; no. 8;
Multiclass Diagnosis of Neurodegenerative Diseases: A Neuroimaging Machine-Learning-Based Approach
Singh, G, Vadera, M, Samavedham, L and Lim, ECH
2019; Journal Industrial & Engineering Chemistry Research; vol. 58; no. 26; pp. 11498-11505;
A beta-induced vulnerability propagates via the brain's default mode network
Pascoal, TA, Mathotaarachchi, S, Kang, MS, Mohaddes, S, Shin, M, Park, AY, Parent, MJ, Benedet, AL, Chamoun, M, Therriault, J, Hwang, H, Cuello, AC, Misic, B, Soucy, JP, Aston, JAD, Gauthier, S and Rosa-Neto, P
2019; Journal Nature Communications; vol. 10; pp. 13;
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;
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;
Structural Degradation Modeling Framework for Sparse Datasets with an application on Alzheimer’s Disease
Chehade, A and Liu, K
2019; Journal EEE Transactions on Automation Science and Engineering; vol. 16; no. 1; pp. 192-205;