Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Haoyu Lan"'
Publikováno v:
BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-42 (2024)
Abstract Medical imaging datasets for research are frequently collected from multiple imaging centers using different scanners, protocols, and settings. These variations affect data consistency and compatibility across different sources. Image harmon
Externí odkaz:
https://doaj.org/article/768cdcb1b9ed405696167512dce7ca97
Autor:
Giuseppe Barisano, Kirsten M. Lynch, Francesca Sibilia, Haoyu Lan, Nien-Chu Shih, Farshid Sepehrband, Jeiran Choupan
Publikováno v:
NeuroImage, Vol 257, Iss , Pp 119329- (2022)
In this article, we provide an overview of current neuroimaging methods for studying perivascular spaces (PVS) in humans using brain MRI. In recent years, an increasing number of studies highlighted the role of PVS in cerebrospinal/interstial fluid c
Externí odkaz:
https://doaj.org/article/8430119c78a64475907f2760b22c0ae9
Autor:
Haoyu Lan, Kirsten M. Lynch, Rachel Custer, Nien‐Chu Shih, Patrick Sherlock, Arthur W. Toga, Farshid Sepehrband, Jeiran Choupan
Publikováno v:
Magnetic Resonance in Medicine. 89:2419-2431
Publikováno v:
Synthetic and Systems Biotechnology, Vol 9, Iss 4, Pp 853-860 (2024)
Nosema ceranae, a parasite that parasitizes and reproduces in the gut of honeybees, has become a serious threat to the global apiculture industry. RNA interference (RNAi) technology can be used to inhibit N. ceranae growth by targeting silencing the
Externí odkaz:
https://doaj.org/article/1b70bfd740d243d39ec921f3401557e5
Publikováno v:
2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA).
Publikováno v:
Advances in Urban Construction and Management Engineering ISBN: 9781003348023
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ff317ed8b69f7a959658e508119cf93
https://doi.org/10.1201/9781003348023-11
https://doi.org/10.1201/9781003348023-11
Publikováno v:
Magn Reson Med
Purpose To develop a new 3D generative adversarial network that is designed and optimized for the application of multimodal 3D neuroimaging synthesis. Methods We present a 3D conditional generative adversarial network (GAN) that uses spectral normali
Autor:
Giuseppe Barisano, Wendy J. Mack, Ryan P. Cabeen, Haoyu Lan, Alzheimer’s Disease Neuroimaging Initiative, Malcolm S Crawford, Jeiran Choupan, Helena C. Chui, Nasim Sheikh-Bahaei, John M. Ringman, Farshid Sepehrband, Kirsten M. Lynch, Arthur W. Toga
Publikováno v:
Neurobiol Aging
Vascular contributions to early cognitive decline are increasingly recognized, prompting further investigation into the nature of related changes in perivascular spaces (PVS). Using magnetic resonance imaging, we show that, compared to a cognitively
Autor:
Liangtian Huang, Jiang-Hai Wang, Haoyu Lan, Jia Lin, Ying Yang, Yongyi Peng, Haikun Zhang, Xianbiao Lin, Xiyang Dong, Juan Peng, Shengze Weng
Publikováno v:
Microbial ecology.
Reef sediments, the home for microbes with high abundances, provide an important source of carbonates and nutrients for the growth and maintenance of coral reefs. However, there is a lack of systematic research on the composition of microbial communi
We present NiftyTorch a Deep Learning Framework for NeuroImaging. The motivation behind the development of such a library is that there are scant amount of centralized tool for deploying 3D deep learning for NeuroImaging. In addition, most of the exi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3d40fa8c0548039a6db38e770935fc1
https://doi.org/10.1101/2021.02.26.433116
https://doi.org/10.1101/2021.02.26.433116