Zobrazeno 1 - 10
of 267
pro vyhledávání: '"Junhao, Wen"'
Autor:
Junhao Wen, Zhijian Yang, Ilya M. Nasrallah, Yuhan Cui, Guray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Elizabeth Mamourian, Gyujoon Hwang, Ashish Singh, Mark Bergman, Jingxuan Bao, Erdem Varol, Zhen Zhou, Aleix Boquet-Pujadas, Jiong Chen, Arthur W. Toga, Andrew J. Saykin, Timothy J. Hohman, Paul M. Thompson, Sylvia Villeneuve, Randy Gollub, Aristeidis Sotiras, Katharina Wittfeld, Hans J. Grabe, Duygu Tosun, Murat Bilgel, Yang An, Daniel S. Marcus, Pamela LaMontagne, Tammie L. Benzinger, Susan R. Heckbert, Thomas R. Austin, Lenore J. Launer, Mark Espeland, Colin L. Masters, Paul Maruff, Jurgen Fripp, Sterling C. Johnson, John C. Morris, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Luigi Ferrucci, Yong Fan, Mohamad Habes, David Wolk, Li Shen, Haochang Shou, Christos Davatzikos
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Alzheimer’s disease (AD) is associated with heterogeneous atrophy patterns. We employed a semi-supervised representation learning technique known as Surreal-GAN, through which we identified two latent dimensional representations of brain a
Externí odkaz:
https://doaj.org/article/56d631e8319148739bce0f8e8b35d005
Autor:
Mathilde Antoniades, Dhivya Srinivasan, Junhao Wen, Guray Erus, Ahmed Abdulkadir, Elizabeth Mamourian, Randa Melhem, Gyujoon Hwang, Yuhan Cui, Sindhuja Tirumalai Govindarajan, Andrew A. Chen, Zhen Zhou, Zhijian Yang, Jiong Chen, Raymond Pomponio, Susan Sotardi, Yang An, Murat Bilgel, Pamela LaMontagne, Ashish Singh, Tammie Benzinger, Lori Beason-Held, Daniel S. Marcus, Kristine Yaffe, Lenore Launer, John C. Morris, Duygu Tosun, Luigi Ferrucci, R. Nick Bryan, Susan M. Resnick, Mohamad Habes, David Wolk, Yong Fan, Ilya M. Nasrallah, Haochang Shou, Christos Davatzikos
Publikováno v:
EBioMedicine, Vol 109, Iss , Pp 105399- (2024)
Summary: Background: Brain ageing is highly heterogeneous, as it is driven by a variety of normal and neuropathological processes. These processes may differentially affect structural and functional brain ageing across individuals, with more pronounc
Externí odkaz:
https://doaj.org/article/782b783c1fc740c68d12c609c91452e4
Autor:
Junhao Wen, Bingxin Zhao, Zhijian Yang, Guray Erus, Ioanna Skampardoni, Elizabeth Mamourian, Yuhan Cui, Gyujoon Hwang, Jingxuan Bao, Aleix Boquet-Pujadas, Zhen Zhou, Yogasudha Veturi, Marylyn D. Ritchie, Haochang Shou, Paul M. Thompson, Li Shen, Arthur W. Toga, Christos Davatzikos
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract The complex biological mechanisms underlying human brain aging remain incompletely understood. This study investigated the genetic architecture of three brain age gaps (BAG) derived from gray matter volume (GM-BAG), white matter microstructu
Externí odkaz:
https://doaj.org/article/0b986bda725642da9bd3943d43862752
Autor:
Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Guray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Disease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases. Many diseases can display multiple distinct brain phenotypes across individuals, potentially r
Externí odkaz:
https://doaj.org/article/e4408877453444c49479a4dba3887d8a
Publikováno v:
PeerJ Computer Science, Vol 10, p e1983 (2024)
Analyzing and obtaining useful information is challenging when facing a new complex system. Traditional methods often focus on specific structural aspects, such as communities, which may overlook the important features and result in biased conclusion
Externí odkaz:
https://doaj.org/article/375118bde810488c962d5c081b43d6a4
Autor:
Jingxuan Bao, Junhao Wen, Zixuan Wen, Shu Yang, Yuhan Cui, Zhijian Yang, Guray Erus, Andrew J. Saykin, Qi Long, Christos Davatzikos, Li Shen
Publikováno v:
NeuroImage, Vol 280, Iss , Pp 120346- (2023)
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases. However, the AD mechanism has not yet been fully elucidated to date, hindering the development of effective therapies. In our work, we perform a brain imaging genomics stu
Externí odkaz:
https://doaj.org/article/a1c9974470b342f383526495380eba11
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 11, Iss 1, Pp 1-14 (2022)
Abstract In the cloud manufacturing process, service composition can combine a single service into a complex service to meet the task requirements. An efficient service composition strategy is crucial, as it affects the efficiency of resource and cap
Externí odkaz:
https://doaj.org/article/ea3339913f674c1b9bc0a68e0382a2ea
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2022, Iss 1, Pp 1-17 (2022)
Abstract Studies on the checked-in point-of-interests have become an important means to learn user’s behavior. Nevertheless, users do not sign in to all visited locations. There are unobserved check-in locations in the generated POI trajectory. Suc
Externí odkaz:
https://doaj.org/article/c67ce28f4c664f7fb4d8780e7cb315c1
Autor:
Zhen Zhou, Hongming Li, Dhivya Srinivasan, Ahmed Abdulkadir, Ilya M. Nasrallah, Junhao Wen, Jimit Doshi, Guray Erus, Elizabeth Mamourian, Nick R. Bryan, David A. Wolk, Lori Beason-Held, Susan M. Resnick, Theodore D. Satterthwaite, Christos Davatzikos, Haochang Shou, Yong Fan
Publikováno v:
NeuroImage, Vol 269, Iss , Pp 119911- (2023)
To learn multiscale functional connectivity patterns of the aging brain, we built a brain age prediction model of functional connectivity measures at seven scales on a large fMRI dataset, consisting of resting-state fMRI scans of 4186 individuals wit
Externí odkaz:
https://doaj.org/article/b2dbf5d0a6594ddcadb3c93f3330cca7
Autor:
Rongguang Wang, Vishnu Bashyam, Zhijian Yang, Fanyang Yu, Vasiliki Tassopoulou, Sai Spandana Chintapalli, Ioanna Skampardoni, Lasya P. Sreepada, Dushyant Sahoo, Konstantina Nikita, Ahmed Abdulkadir, Junhao Wen, Christos Davatzikos
Publikováno v:
NeuroImage, Vol 269, Iss , Pp 119898- (2023)
Generative adversarial networks (GANs) are one powerful type of deep learning models that have been successfully utilized in numerous fields. They belong to the broader family of generative methods, which learn to generate realistic data with a proba
Externí odkaz:
https://doaj.org/article/ca09970286d84f3c8b2dd41c60a136c9