1 code implementation • 24 Aug 2023 • Yuqi Fang, Jinjian Wu, Qianqian Wang, Shijun Qiu, Andrea Bozoki, Huaicheng Yan, Mingxia Liu
The model pretrained on large-scale rs-fMRI data has been released to the public.
no code implementations • 24 Jun 2023 • Qianqian Wang, Wei Wang, Yuqi Fang, P. -T. Yap, Hongtu Zhu, Hong-Jun Li, Lishan Qiao, Mingxia Liu
Resting-state functional magnetic resonance imaging (rs-fMRI) can reflect spontaneous neural activities in brain and is widely used for brain disorder analysis. Previous studies propose to extract fMRI representations through diverse machine/deep learning methods for subsequent analysis.
no code implementations • 31 Dec 2022 • Yuqi Fang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu
Existing UDA approaches highly depend on the accessibility of source domain data, which is usually limited in practical scenarios due to privacy protection, data storage and transmission cost, and computation burden.
1 code implementation • 13 Sep 2022 • Sen yang, Tao Shen, Yuqi Fang, Xiyue Wang, Jun Zhang, Wei Yang, Junzhou Huang, Xiao Han
The high-content image-based assay is commonly leveraged for identifying the phenotypic impact of genetic perturbations in biology field.
1 code implementation • 16 Mar 2021 • Jianbang Liu, Yuqi Fang, Delong Zhu, Nachuan Ma, Jin Pan, Max Q. -H. Meng
Human activities are hugely restricted by COVID-19, recently.