Zobrazeno 1 - 10
of 1 618
pro vyhledávání: '"Suckling John"'
Explainability is often critical to the acceptable implementation of artificial intelligence (AI). Nowhere is this more important than healthcare where decision-making directly impacts patients and trust in AI systems is essential. This trust is ofte
Externí odkaz:
http://arxiv.org/abs/2406.00216
Autor:
Mamalakis, Michail, de Vareilles, Héloïse, Wu, Shun-Chin Jim, Agartz, Ingrid, Mørch-Johnsen, Lynn Egeland, Garrison, Jane, Simons, Jon, Lio, Pietro, Suckling, John, Murray, Graham
In the last decade, computer vision has witnessed the establishment of various training and learning approaches. Techniques like adversarial learning, contrastive learning, diffusion denoising learning, and ordinary reconstruction learning have becom
Externí odkaz:
http://arxiv.org/abs/2405.19204
Autor:
Mamalakis, Michail, Mamalakis, Antonios, Agartz, Ingrid, Mørch-Johnsen, Lynn Egeland, Murray, Graham, Suckling, John, Lio, Pietro
The accelerated progress of artificial intelligence (AI) has popularized deep learning models across domains, yet their inherent opacity poses challenges, notably in critical fields like healthcare, medicine and the geosciences. Explainable AI (XAI)
Externí odkaz:
http://arxiv.org/abs/2405.10008
Autor:
Mamalakis, Michail, de Vareilles, Heloise, AI-Manea, Atheer, Mitchell, Samantha C., Arartz, Ingrid, Morch-Johnsen, Lynn Egeland, Garrison, Jane, Simons, Jon, Lio, Pietro, Suckling, John, Murray, Graham
The significant features identified in a representative subset of the dataset during the learning process of an artificial intelligence model are referred to as a 'global' explanation. 3D global explanations are crucial in neuroimaging, where a compl
Externí odkaz:
http://arxiv.org/abs/2309.00903
Autor:
Adamson, Chris, Adler, Sophie, Alexander-Bloch, Aaron F., Anagnostou, Evdokia, Anderson, Kevin M., Areces-Gonzalez, Ariosky, Astle, Duncan E., Auyeung, Bonnie, Ayub, Muhammad, Bae, Jong Bin, Ball, Gareth, Baron-Cohen, Simon, Beare, Richard, Bedford, Saashi A., Benegal, Vivek, Bethlehem, Richard A.I., Beyer, Frauke, Blangero, John, Cábez, Manuel Blesa, Boardman, James P., Borzage, Matthew, Bosch-Bayard, Jorge F., Bourke, Niall, Bullmore, Edward T., Calhoun, Vince D., Chakravarty, Mallar M., Chen, Christina, Chertavian, Casey, Chetelat, Gaël, Chong, Yap S., Corvin, Aiden, Costantino, Manuela, Courchesne, Eric, Crivello, Fabrice, Cropley, Vanessa L., Crosbie, Jennifer, Crossley, Nicolas, Delarue, Marion, Delorme, Richard, Desrivieres, Sylvane, Devenyi, Gabriel, Di Biase, Maria A., Dolan, Ray, Donald, Kirsten A., Donohoe, Gary, Dorfschmidt, Lena, Dunlop, Katharine, Edwards, Anthony D., Elison, Jed T., Ellis, Cameron T., Elman, Jeremy A., Eyler, Lisa, Fair, Damien A., Fletcher, Paul C., Fonagy, Peter, Franz, Carol E., Galan-Garcia, Lidice, Gholipour, Ali, Giedd, Jay, Gilmore, John H., Glahn, David C., Goodyer, Ian M., Grant, P.E., Groenewold, Nynke A., Gudapati, Shreya, Gunning, Faith M., Gur, Raquel E., Gur, Ruben C., Hammill, Christopher F., Hansson, Oskar, Hedden, Trey, Heinz, Andreas, Henson, Richard N., Heuer, Katja, Hoare, Jacqueline, Holla, Bharath, Holmes, Avram J., Huang, Hao, Ipser, Jonathan, Jack, Clifford R., Jr., Jackowski, Andrea P., Jia, Tianye, Jones, David T., Jones, Peter B., Kahn, Rene S., Karlsson, Hasse, Karlsson, Linnea, Kawashima, Ryuta, Kelley, Elizabeth A., Kern, Silke, Kim, Ki-Woong, Kitzbichler, Manfred G., Kremen, William S., Lalonde, François, Landeau, Brigitte, Lerch, Jason, Lewis, John D., Li, Jiao, Liao, Wei, Liston, Conor, Lombardo, Michael V., Lv, Jinglei, Mallard, Travis T., Marcelis, Machteld, Mathias, Samuel R., Mazoyer, Bernard, McGuire, Philip, Meaney, Michael J., Mechelli, Andrea, Misic, Bratislav, Morgan, Sarah E., Mothersill, David, Ortinau, Cynthia, Ossenkoppele, Rik, Ouyang, Minhui, Palaniyappan, Lena, Paly, Leo, Pan, Pedro M., Pantelis, Christos, Park, Min Tae M., Paus, Tomas, Pausova, Zdenka, Paz-Linares, Deirel, Binette, Alexa Pichet, Pierce, Karen, Qian, Xing, Qiu, Anqi, Raznahan, Armin, Rittman, Timothy, Rodrigue, Amanda, Rollins, Caitlin K., Romero-Garcia, Rafael, Ronan, Lisa, Rosenberg, Monica D., Rowitch, David H., Salum, Giovanni A., Satterthwaite, Theodore D., Schaare, H. Lina, Schabdach, Jenna, Schachar, Russell J., Schöll, Michael, Schultz, Aaron P., Seidlitz, Jakob, Sharp, David, Shinohara, Russell T., Skoog, Ingmar, Smyser, Christopher D., Sperling, Reisa A., Stein, Dan J., Stolicyn, Aleks, Suckling, John, Sullivan, Gemma, Thyreau, Benjamin, Toro, Roberto, Traut, Nicolas, Tsvetanov, Kamen A., Turk-Browne, Nicholas B., Tuulari, Jetro J., Tzourio, Christophe, Vachon-Presseau, Étienne, Valdes-Sosa, Mitchell J., Valdes-Sosa, Pedro A., Valk, Sofie L., van Amelsvoort, Therese, Vandekar, Simon N., Vasung, Lana, Vértes, Petra E., Victoria, Lindsay W., Villeneuve, Sylvia, Villringer, Arno, Vogel, Jacob W., Wagstyl, Konrad, Wang, Yin-Shan S., Warfield, Simon K., Warrier, Varun, Westman, Eric, Westwater, Margaret L., Whalley, Heather C., White, Simon R., Witte, A. Veronica, Yang, Ning, Yeo, B.T. Thomas, Yun, Hyuk Jin, Zalesky, Andrew, Zar, Heather J., Zettergren, Anna, Zhou, Juan H., Ziauddeen, Hisham, Zimmerman, Dabriel, Zugman, Andre, Zuo, Xi-Nian N., Ho, Natalie C.W., Nogovitsyn, Nikita, Metzak, Paul, Ballester, Pedro L., Hassel, Stefanie, Rotzinger, Susan, Poppenk, Jordan, Lam, Raymond W., Taylor, Valerie H., Milev, Roumen, Frey, Benicio N., Harkness, Kate L., Addington, Jean, Kennedy, Sidney H.
Publikováno v:
In Biological Psychiatry: Cognitive Neuroscience and Neuroimaging August 2024 9(8):786-799
Autor:
Mandal, Ayan S., Wiener, Chemda, Assem, Moataz, Romero-Garcia, Rafael, Coelho, Pedro, McDonald, Alexa, Woodberry, Emma, Morris, Robert C., Price, Stephen J., Duncan, John, Santarius, Thomas, Suckling, John, Hart, Michael G., Erez, Yaara
Publikováno v:
In Cortex April 2024 173:1-15
Autor:
Jiménez-Mesa, Carmen, Ramírez, Javier, Suckling, John, Vöglein, Jonathan, Levin, Johannes, Górriz, Juan Manuel, ADNI, Alzheimer's Disease Neuroimaging Initiative, DIAN, Dominantly Inherited Alzheimer Network
Discriminative analysis in neuroimaging by means of deep/machine learning techniques is usually tested with validation techniques, whereas the associated statistical significance remains largely under-developed due to their computational complexity.
Externí odkaz:
http://arxiv.org/abs/2103.16685
Autor:
Li, Jie-Qiong, Song, Jing-Hui, Suckling, John, Wang, Yan-Jiang, Zuo, Chuan-Tao, Zhang, Can, Gao, Jing, Song, Yu-Qiang, Xie, An-Mu, Tan, Lan, Yu, Jin-Tai
Publikováno v:
In Neurobiology of Aging February 2024 134:106-114
Autor:
Bailey, Anthony J., Baron-Cohen, Simon, Bolton, Patrick F., Bullmore, Edward T., Carrington, Sarah, Catani, Marco, Chakrabarti, Bhismadev, Craig, Michael C., Daly, Eileen M., Deoni, Sean C.L., Ecker, Christine, Happé, Francesca, Henty, Julian, Jezzard, Peter, Johnston, Patrick, Jones, Derek K., Lai, Meng-Chuan, Lombardo, Michael V., Madden, Anya, Mullins, Diane, Murphy, Clodagh M., Murphy, Declan G.M., Pasco, Greg, Ruigrok, Amber N.V., Sadek, Susan A., Spain, Debbie, Stewart, Rose, Suckling, John, Wheelwright, Sally J., Williams, Steven C., Bedford, Saashi A., Ruigrok, Amber, Anagnostou, Evdokia, Lerch, Jason P., Taylor, Margot, Nicolson, Rob, Stelios, Georgiades, Crosbie, Jennifer, Schachar, Russell, Kelley, Elizabeth, Jones, Jessica, Arnold, Paul D., Courchesne, Eric, Pierce, Karen, Eyler, Lisa T., Campbell, Kathleen, Barnes, Cynthia Carter, Seidlitz, Jakob, Alexander-Bloch, Aaron F., Bethlehem, Richard A.I.
Publikováno v:
In Biological Psychiatry July 2024
A connection between the General Linear Model (GLM) in combination with classical statistical inference and the machine learning (MLE)-based inference is described in this paper. Firstly, the estimation of the GLM parameters is expressed as a Linear
Externí odkaz:
http://arxiv.org/abs/2012.08903