Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jianqiao Tian"'
Autor:
Jianqiao Tian, Glenn Smith, Han Guo, Boya Liu, Zehua Pan, Zijie Wang, Shuangyu Xiong, Ruogu Fang
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Alzheimer's disease is the leading cause of dementia. The long progression period in Alzheimer's disease provides a possibility for patients to get early treatment by having routine screenings. However, current clinical diagnostic imaging to
Externí odkaz:
https://doaj.org/article/9ed03286f8524ac2a3c7cb135a63f12e
Autor:
Jianqiao Tian, Sheelakumari Raghavan, Robert I. Reid, Scott A. Przybelski, Timothy G. Lesnick, Robel K. Gebre, Jonathan Graff-Radford, Christopher G. Schwarz, Val J. Lowe, Kejal Kantarci, David S. Knopman, Ronald C. Petersen, Clifford R. Jack, Prashanthi Vemuri
Publikováno v:
Neurology. 100:e2269-e2278
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fac02d6e12166144f6dc5d5af5088b28
https://doi.org/10.1212/wnl.0000000000207250
https://doi.org/10.1212/wnl.0000000000207250
Autor:
Jianqiao Tian, Robert I. Reid, Scott A. Przybelski, Sheelakumari Raghavan, Robel K Gebre, Jonathan Graff‐Radford, Val J. Lowe, Kejal Kantarci, David S. Knopman, Ronald C. Petersen, Clifford R. Jack, Prashanthi Vemuri
Publikováno v:
Alzheimer's & Dementia. 18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a054368ee7a73ef0912c39cde7292b1
https://doi.org/10.1002/alz.062596
https://doi.org/10.1002/alz.062596
Autor:
Boya Liu, Zehua Pan, Shuangyu Xiong, Jianqiao Tian, Glenn E. Smith, Zijie Wang, Ruogu Fang, Han Guo
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Alzheimer's disease is the leading cause of dementia. The long progression period in Alzheimer's disease provides a possibility for patients to get early treatment by having routine screenings. However, current clinical diagnostic imaging tools do no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92bd853ff6d4cfba7ff008912f2ff756
https://doi.org/10.1038/s41598-020-80312-2
https://doi.org/10.1038/s41598-020-80312-2
Autor:
Maximillian T. Diaz, Pedro L. Fernández-Cabán, Kurtis R. Gurley, Jianqiao Tian, Ruogu Fang, Forrest J. Masters
Publikováno v:
Journal of Wind Engineering and Industrial Aerodynamics. 196:104026
This paper presents a deep neural network (DNN) based approach for predicting mean and peak wind pressure coefficients on the surface of a scale model low-rise, gable roof building. Pressure data were collected on the model at multiple prescribed win
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a90d5ec062a877861560dfd5901237a
https://doi.org/10.1016/j.jweia.2019.104026
https://doi.org/10.1016/j.jweia.2019.104026