Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Tristan Kuehn"'
Autor:
Alaa Taha, Greydon Gilmore, Mohamad Abbass, Jason Kai, Tristan Kuehn, John Demarco, Geetika Gupta, Chris Zajner, Daniel Cao, Ryan Chevalier, Abrar Ahmed, Ali Hadi, Bradley G. Karat, Olivia W. Stanley, Patrick J. Park, Kayla M. Ferko, Dimuthu Hemachandra, Reid Vassallo, Magdalena Jach, Arun Thurairajah, Sandy Wong, Mauricio C. Tenorio, Feyi Ogunsanya, Ali R. Khan, Jonathan C. Lau
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract Tools available for reproducible, quantitative assessment of brain correspondence have been limited. We previously validated the anatomical fiducial (AFID) placement protocol for point-based assessment of image registration with millimetric
Externí odkaz:
https://doaj.org/article/01357b737d88409ebb9f571144ab0350
Autor:
Jean-Baptiste Poline, Samir Das, Tristan Glatard, Cécile Madjar, Erin W. Dickie, Xavier Lecours, Thomas Beaudry, Natacha Beck, Brendan Behan, Shawn T. Brown, David Bujold, Michael Beauvais, Bryan Caron, Candice Czech, Moyez Dharsee, Mathieu Dugré, Ken Evans, Tom Gee, Giulia Ippoliti, Gregory Kiar, Bartha Maria Knoppers, Tristan Kuehn, Diana Le, Derek Lo, Mandana Mazaheri, Dave MacFarlane, Naser Muja, Emmet A. O’Brien, Liam O’Callaghan, Santiago Paiva, Patrick Park, Darcy Quesnel, Henri Rabelais, Pierre Rioux, Mélanie Legault, Jennifer Tremblay-Mercier, David Rotenberg, Jessica Stone, Ted Strauss, Ksenia Zaytseva, Joey Zhou, Simon Duchesne, Ali R. Khan, Sean Hill, Alan C. Evans
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Measurement(s) Digital Data Repository Technology Type(s) Digital Data Repository
Externí odkaz:
https://doaj.org/article/85468f9f3d9640d0a34ae84ffd997dae
Autor:
Emily S. Nichols, Susana Correa, Peter Van Dyken, Jason Kai, Tristan Kuehn, Sandrine de Ribaupierre, Emma G. Duerden, Ali R. Khan
Publikováno v:
Neuroinformatics.
Autor:
Aki Nikolaidis, Matteo Manchini, Tibor Auer, Katherine L. Bottenhorn, Eva Alonso-Ortiz, Gabriel Gonzalez-Escamilla, Sofie Valk, Tristan Glatard, Melvin Selim Atay, Johanna M.M. Bayer, Janine Bijsterbosch, Johannes Algermissen, Natacha Beck, Patrick Bermudez, Isil Poyraz Bilgin, Steffen Bollmann, Claire Bradley, Megan E.J. Campbell, Bryan Caron, Oren Civier, Luis Pedro Coelho, Shady El Damaty, Samir Das, Mathieu Dugré, Eric Earl, Stefanie Evas, Nastassja Lopes Fischer, De Fu Yap, Kelly G. Garner, Remi Gau, Giorgio Ganis, Dylan G. E. Gomes, Martin Grignard, Samuel Guay, Omer Faruk Gulban, Sarah Hamburg, Yaroslav O. Halchenko, Valerie Hayot-Sasson, Dawn Liu Holford, Laurentius Huber, Manuel Illanes, Tom Johnstone, Avinash Kalyani, Kinshuk Kashyap, Han Ke, Ibrahim Khormi, Gregory Kiar, Vanja Ković, Tristan Kuehn, Achintya Kumar, Xavier Lecours-Boucher, Michael Lührs, Robert Luke, Cecile Madjar, Sina Mansour L., Chris Markeweicz, Paula Andrea Martinez, Alexandra McCarroll, Léa Michel, Stefano Moia, Aswin Narayanan, Guiomar Niso, Emmet A. O’Brien, Kendra Oudyk, François Paugam, Yuri G. Pavlov, Jean-Baptiste Poline, Benedikt A. Poser, Céline Provins, Pradeep Reddy Raamana, Pierre Rioux, David Romero-Bascones, Ekansh Sareen, Antonio Schettino, Alec Shaw, Thomas Shaw, Cooper A. Smout, Anđdela Šoškié, Jessica Stone, Suzy J Styles, Ryan Sullivan, Naoyuki Sunami, Shamala Sundaray, Jasmine Wei Rou, Dao Thanh Thuy, Sebastien Tourbier, Sebastián Urch, Alejandro de la Vega, Niruhan Viswarupan, Adina Wagner, Lennart Walger, Hao-Ting Wang, Fei Ting Woon, David White, Christopher Wiggins, Will Woods, Yu-Fang Yang, Ksenia Zaytseva, Judy D. Zhu, Marcel P. Zwiers
Publikováno v:
Aperture Neuro.
Autor:
Alaa Taha, Greydon Gilmore, Mohamad Abbass, Jason Kai, Tristan Kuehn, John Demarco, Geetika Gupta, Chris Zajner, Daniel Cao, Ryan Chevalier, Abrar Ahmed, Ali Hadi, Bradley Karat, Olivia W. Stanley, Patrick Park, Kayla M. Ferko, Dimuthu Hemachandra, Reid Vassallo, Magdalena Jach, Arun Thurairajah, Sandy Wong, Mauricio C. Tenorio, Feyi Ogunsanya, Ali R. Khan, Jonathan C. Lau
Tools available for reproducible, quantitative assessment of brain correspondence have been limited. We previously validated the anatomical fiducial (AFID) placement protocol for point-based assessment of image registration with millimetric (mm) accu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58a5d4dec8aa15f41f82fe2491fb9aac
https://doi.org/10.1101/2022.11.21.516173
https://doi.org/10.1101/2022.11.21.516173
Autor:
Emily S. Nichols, Susana Correa, Peter Van Dyken, Jason Kai, Tristan Kuehn, Sandrine de Ribaupierre, Emma G. Duerden, Ali R. Khan
Fetal functional magnetic resonance imaging (fMRI) offers critical insight into the developing brain and could aid in predicting developmental outcomes. As the fetal brain is surrounded by heterogeneous tissue, it is not possible to use adult- or chi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c879dcdfa3b5c26b6bc6b1a20a687068
https://doi.org/10.1101/2022.09.02.506391
https://doi.org/10.1101/2022.09.02.506391
Autor:
Jonathan C. Lau, Andrew G. Parrent, John Demarco, Geetika Gupta, Jason Kai, Olivia W. Stanley, Tristan Kuehn, Patrick J. Park, Kayla Ferko, Ali R. Khan, Terry M. Peters
Publikováno v:
Hum Brain Mapp
[Image: see text] COVER ILLUSTRATION Stylized illustration of the anatomical fiducials (AFIDs) framework published in this issue. The red circles mark the 10 midline AFIDs described in the article superimposed onto an artistic rendering of the MNI200
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5102022a9c49c0295fd4bc02639e6b6
https://europepmc.org/articles/PMC6865735/
https://europepmc.org/articles/PMC6865735/