Nuclear process heat application options: Highlights from the European GEMINI+ project by Fütterer, Michael A., Pabarcius, Raimondas, Hübner, Sebastian, Pieńkowski, Ludwik, Brudek, Wojtek, Darnowski, Piotr, Pawluczyk, Michał, Chmielarz, Błażej, Šilhan, Martin

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Loss of Coolant Accident in Pressurized Water Reactor. Prediction of a 6-inch Cold Leg Break with Relap5 and Cathare 2 by Pawluczyk, Michał, Mazgaj, Piotr, Gurgacz, Sebastian, Gatkowski, Michał, Darnowski, Piotr

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Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease by Vogel, Jacob W., Iturria-Medina, Yasser, Strandberg, Olof T., Smith, Ruben, Levitis, Elizabeth, Evans, Alan C., Hansson, Oskar

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Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis by Iturria-Medina, Y., Sotero, R. C., Toussaint, P. J., Mateos-Pérez, J. M., Evans, A. C.

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A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI by Iglesias, Juan Eugenio, Augustinack, Jean C., Nguyen, Khoa, Player, Christopher M., Player, Allison, Wright, Michelle, Roy, Nicole, Frosch, Matthew P., McKee, Ann C., Wald, Lawrence L., Fischl, Bruce, Van Leemput, Koen

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Predicting Alzheimer’s disease progression using multi-modal deep learning approach by Lee, Garam, Nho, Kwangsik, Kang, Byungkon, Sohn, Kyung-Ah, Kim, Dokyoon

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QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy by Guha Roy, Abhijit, Conjeti, Sailesh, Navab, Nassir, Wachinger, Christian

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Functional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease by Franzmeier, Nicolai, Neitzel, Julia, Rubinski, Anna, Smith, Ruben, Strandberg, Olof, Ossenkoppele, Rik, Hansson, Oskar, Ewers, Michael

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Common genetic variants influence human subcortical brain structures by Hibar, Derrek P., Desrivières, Sylvane, Toro, Roberto, Wittfeld, Katharina, Abramovic, Lucija, Bernard, Manon, Chen, Qiang, Giddaluru, Sudheer, Janowitz, Deborah, Lee, Phil H., Ramasamy, Adaikalavan, Risacher, Shannon L., Rose, Emma J., Salami, Alireza, Schmaal, Lianne, Schork, Andrew J., Strike, Lachlan T., Walters, Raymond K., Winkler, Anderson M., Zwiers, Marcel P., Athanasiu, Lavinia, Hakobjan, Marina M. H., Hartberg, Cecilie B., Heister, Angelien J. G. A. M., Hoehn, David, Kasperaviciute, Dalia, Makkinje, Remco R. R., Reese McKay, D., Shen, Li, Walton, Esther, Ames, David, Corvin, Aiden, Curran, Joanne E., Dillman, Allissa, Erk, Susanne, Foroud, Tatiana M., Guelfi, Sebastian, Hegenscheid, Katrin, Hernandez, Dena G., Heslenfeld, Dirk J., Hottenga, Jouke-Jan, Jenkinson, Mark, Kanai, Ryota, Kent, Jack W., McMahon, Katie L., Meisenzahl, Eva, Mohnke, Sebastian, Mühleisen, Thomas W., Nalls, Michael A., Nichols, Thomas E., Potkin, Steven G., Reppermund, Simone, Rujescu, Dan, Schnell, Knut, Thalamuthu, Anbupalam, Turner, Jessica A., van 't Ent, Dennis, Wassink, Thomas H., Westman, Eric, Ashbrook, David G., Lu, Lu, Williams, Robert W., Buckner, Randy L., Calhoun, Vince D., Cavalleri, Gianpiero L., Dale, Anders M., Espeseth, Thomas, Hoffmann, Wolfgang, Le Hellard, Stephanie, Meyer-Lindenberg, Andreas, Müller-Myhsok, Bertram, Nyberg, Lars, Penninx, Brenda W. J. H., van Bokhoven, Hans, van Haren, Neeltje E. M., Völzke, Henry, Weiner, Michael W., White, Tonya, Agartz, Ingrid, Blangero, John, Boomsma, Dorret I., Fernández, Guillén, Fisher, Simon E., Francks, Clyde, Grabe, Hans J., Hashimoto, Ryota, Hulshoff Pol, Hilleke E., Jönsson, Erik G., McIntosh, Andrew M., Singleton, Andrew, Schmidt, Reinhold, Satizabal, Claudia L., Ebling, Maritza, Nyquist, Paul, Vinke, Louis N., Xue, Luting, Mazoyer, Bernard, Martin, Nicholas G., Wright, Margaret J., Schumann, Gunter

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Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects by Moradi, Elaheh, Pepe, Antonietta, Gaser, Christian, Huttunen, Heikki, Tohka, Jussi

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Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology by Shen, Xinpeng, Ma, Sisi, Vemuri, Prashanthi, Simon, Gyorgy

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Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology by Schmitz, Taylor W., Nathan Spreng, R.

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Amyloid-associated increases in soluble tau relate to tau aggregation rates and cognitive decline in early Alzheimer’s disease by Pichet Binette, Alexa, Franzmeier, Nicolai, Spotorno, Nicola, Ewers, Michael, Brendel, Matthias, Biel, Davina, Strandberg, Olof, Janelidze, Shorena, Palmqvist, Sebastian, Mattsson-Carlgren, Niklas, Smith, Ruben, Stomrud, Erik, Ossenkoppele, Rik, Hansson, Oskar

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A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure by Yang, Zhijian, Nasrallah, Ilya M., Shou, Haochang, Wen, Junhao, Doshi, Jimit, Habes, Mohamad, Erus, Guray, Abdulkadir, Ahmed, Resnick, Susan M., Albert, Marilyn S., Maruff, Paul, Fripp, Jurgen, Morris, John C., Wolk, David A., Davatzikos, Christos

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Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE by Ayton, Scott, Faux, Noel G., Bush, Ashley I.

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Non-coding variability at the APOE locus contributes to the Alzheimer’s risk by Zhou, Xiaopu, Chen, Yu, Mok, Kin Y., Kwok, Timothy C. Y., Mok, Vincent C. T., Guo, Qihao, Ip, Fanny C., Chen, Yuewen, Mullapudi, Nandita, Giusti-Rodríguez, Paola, Sullivan, Patrick F., Hardy, John, Fu, Amy K. Y., Li, Yun, Ip, Nancy Y.

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Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer’s disease by Zhang, Xiuming, Mormino, Elizabeth C., Sun, Nanbo, Sperling, Reisa A., Sabuncu, Mert R., Yeo, B. T. Thomas

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Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease by Gonneaud, Julie, Baria, Alex T., Pichet Binette, Alexa, Gordon, Brian A., Chhatwal, Jasmeer P., Cruchaga, Carlos, Jucker, Mathias, Levin, Johannes, Salloway, Stephen, Farlow, Martin, Gauthier, Serge, Benzinger, Tammie L. S., Morris, John C., Bateman, Randall J., Breitner, John C. S., Poirier, Judes, Vachon-Presseau, Etienne, Villeneuve, Sylvia

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Random forest prediction of Alzheimer's disease using pairwise selection from time series data by Moore, P J, Lyons, T J, Gallacher, J

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Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling by Venkatraghavan, Vikram, Bron, Esther E., Niessen, Wiro J., Klein, Stefan

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