Publications
ADNI publication pdfs can be searched by year, journal, author, or keyword using the search boxes below.
ADNI publication pdfs can be searched by year, journal, author, or keyword using the search boxes below.
4453 Total Publications
Year | Title | Author | Journal |
---|---|---|---|
2019 | High-order correlation detecting in features for diagnosis of Alzheimer's disease and mild cognitive impairment | Ding, Y, Luo, C, Li, C, Lan, T and Qin, Z | Journal Biomedical Signal Processing and Control; |
2019 | Free Water in White Matter Differentiates MCI and AD From Control Subjects | Dumont, M, Roy, M, Jodoin, PM, Morency, FC, Houde, JC, Xie, ZY, Bauer, C, Samad, TA, Van Dijk, KRA, Goodman, JA, Descoteaux, M and Alzheimer's Dis, N | Journal Frontiers in Aging Neuroscience; |
2019 | Free-water imaging of the hippocampus is a sensitive marker of Alzheimer's disease | Ofori, ED, S. T.: Febo, M.: Colon-Perez, L.: Chakrabarty, P.: Duara, R.: Adjouadi, M.: Golde, T. E.: Vaillancourt, D. E. | Journal Neuroimage Clin; |
2019 | Classification and Visualization of Alzheimer's Disease using Volumetric Convolutional Neural Network and Transfer Learning | Oh, K, Chung, YC, Kim, KW, Kim, WS and Oh, IS | Journal Sci Rep; |
2019 | QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy | Roy, AG, Conjeti, S, Navab, N, Wachinger, C and Alzheimers Dis Neuroimaging, I | Journal Neuroimage; |
2019 | Blood-based protein predictors of dementia severity as measured by delta: Replication across biofluids and cohorts | Royall, DR, Bishnoi, RJ and Palmer, RF. | Journal Alzheimers Dement (Amst); |
2019 | Risk classification for conversion from mild cognitive impairment to Alzheimer's disease in primary care | Qin, YT, Y.: Han, H.: Liu, L.: Ge, X.: Xue, H.: Wang, T.: Zhou, L.: Liang, R.: Yu, H. | Journal Psychiatry Res; |
2019 | Pathology-preserving intensity standardization framework for multi-institutional FLAIR MRI datasets | Reiche, B, Moody, AR and Khademi, A | Journal Magnetic Resonance Imaging; |
2019 | Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics | Varatharajah, Y, Ramanan, VK, Iyer, R, Vemuri, P, Weiner, MW, Aisen, P, Petersen, R, Jack, CR, Saykin, AJ, Jagust, W, Trojanowki, JQ, Toga, AW, Beckett, L, Green, RC, 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, Schwartz, A, Montine, T, Thomas, RG, Donohue, M, Walter, S, Gessert, D, Sather, T, Jiminez, G, Balasubramanian, AB, Mason, J, Sim, I, Harvey, D, Bernstein, M, Fox, N, Thompson, P, Schuff, N, DeCarli, C, Borowski, B, Gunter, J, Senjem, M, Jones, D, Kantarci, K, Ward, C, Koeppe, RA, Foster, N, Reiman, EM, Chen, KW, Mathis, C, Landau, S, Cairns, NJ, Franklin, E, Taylor-Reinwald, L, Lee, V, Korecka, M, Figurski, M, Crawford, K, Neu, S, Foroud, TM, Potkin, S, Faber, K, Kim, S, Nho, K, Thal, L, Buckholtz, N, Albert, M, Frank, R, Hsiao, J, Kaye, J, Quinn, J, Silbert, L, Lind, B, Carter, R, Dolen, S, Schneider, LS, Pawluczyk, S, Beccera, M, Teodoro, L, Spann, BM, Brewer, J, Vanderswag, H, Fleisher, A, Heidebrink, JL, Lord, JL, Mason, SS, Albers, CS, Knopman, D, Johnson, K, Doody, RS, Villanueva-Meyer, J, Pavlik, V, Shibley, V, Chowdhury, M, Rountree, S, Dang, MM, Stern, Y, Honig, LS, Bell, KL, Ances, B, Carroll, M, Creech, ML, Franklin, E, Mintun, MA, Schneider, S, Oliver, A, Marson, D, Geldmacher, D, Love, MN, Griffith, R, Clark, D, Brockington, J, Roberson, E, Grossman, H, Mitsis, E, Shah, RC, deToledo-Morrell, L, Duara, R, Greig-Custo, MT, Barker, W, Onyike, C, D'Agostino, D, Kielb, S, Sadowski, M, Sheikh, MO, Ulysse, A, Gaikwad, M, Doraiswamy, PM, Petrella, JR, Borges-Neto, S, Wong, TZ, Coleman, E, Arnold, SE, Karlawish, JH, Wolk, DA, Clark, CM, Smith, CD, Jicha, G, Hardy, P, Sinha, P, Oates, E, Conrad, G, Lopez, OL, Oakley, MA, Simpson, DM, Porsteinsson, AP, Goldstein, BS, Martin, K, Makino, KM, Ismail, MS, Brand, C, Preda, A, Nguyen, D, Womack, K, Mathews, D, Quiceno, M, Levey, AI, Lah, JJ, Cellar, JS, Burns, JM, Swerdlow, RH, Brooks, WM, Apostolova, L, Tingus, K, Woo, E, Silverman, DHS, 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, MacAvoy, MG, Varma, P, Chertkow, H, Bergman, H, Hosein, C, Black, S, Stefanovic, B, Caldwell, C, Hsiung, GYR, Mudge, B, Sossi, V, Feldman, H, Assaly, M, Finger, E, Pasternack, S, Rachisky, I, Rogers, J, Trost, D, Kertesz, A, Bernick, C, Munic, D, 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, G, Yesavage, J, Taylor, JL, Lane, B, Rosen, A, Tinklenberg, J, Sabbagh, MN, Belden, CM, Jacobson, SA, Sirrel, SA, Kowall, N, Killiany, R, Budson, AE, Norbash, A, Johnson, PL, Obisesan, TO, Wolday, S, Allard, J, Lerner, A, Ogrocki, P, Tatsuoka, C, Fatica, P, Fletcher, E, Maillard, P, Olichney, J, DeCarli, C, Carmichael, O, Kittur, S, Borrie, M, Lee, TY, Bartha, R, Johnson, S, Asthana, S, Carlsson, CM, Tariot, P, Burke, A, Milliken, AM, Trncic, N, Fleisher, A, Reeder, S, Bates, V, Capote, H, Rainka, M, Scharre, DW, Kataki, M, Kelly, B, Zimmerman, EA, Celmins, D, Brown, AD, Pearlson, GD, Blank, K, Anderson, K, Flashman, LA, Seltzer, M, Hynes, ML, Santulli, RB, Sink, KM, Gordineer, L, Williamson, JD, Garg, P, Watkins, F, Ott, BR, Tremont, G, Daiello, LA, Salloway, S, Malloy, P, Correia, S, Rosen, HJ, Miller, BL, Perry, D, Mintzer, J, Spicer, K, Bachman, D, Pomara, N, Hernando, R, Sarrael, A, Schultz, SK, Smith, KE, Koleva, H, Nam, KW, Shim, H, Relkin, N, Chaing, G, Lin, M, Ravdin, L, Smith, A, Raj, BA, Fargher, K and Alzheimers Dis Neuroimaging, I | Journal Scientific Reports; |
2019 | Multiscale spatial gradient features for (18)F-FDG PET image-guided diagnosis of Alzheimer's disease | Pan, XA, M.: Fossati, C.: Gaidon, T.: Wojak, J.: Guedj, E. | Journal Comput Methods Programs Biomed; |