1 code implementation • journal 2023 • Chukwuemeka Clinton Atabansi, Jing Nie, Haijun Liu, Qianqian Song, Lingfeng Yan, Xichuan Zhou
Transformers have been widely used in many computer vision challenges and have shown the capability of producing better results than convolutional neural networks (CNNs).
no code implementations • 12 Oct 2022 • Enze Xu, Jingwen Zhang, Jiadi Li, Qianqian Song, Defu Yang, Guorong Wu, Minghan Chen
Alzheimer's disease (AD) is a heterogeneous, multifactorial neurodegenerative disorder characterized by beta-amyloid, pathologic tau, and neurodegeneration.
no code implementations • 1 Mar 2022 • Minghan Chen, Chunrui Xu, Ziang Xu, wei he, Haorui Zhang, Jing Su, Qianqian Song
Those genes involved in the TGF-\b{eta} pathway and their crosstalk with the ERBB pathway presented a strong survival prognosis in clinical lung cancer samples.
no code implementations • 14 Feb 2022 • Qianqian Song
We conduct the convergence analysis of our splitting numerical integration algorithm.
no code implementations • 22 Jan 2022 • Jingwen Zhang, Qing Liu, Haorui Zhang, Michelle Dai, Qianqian Song, Defu Yang, Guorong Wu, Minghan Chen
Background: Despite the striking efforts in investigating neurobiological factors behind the acquisition of amyloid-\b{eta} (A), protein tau (T), and neurodegeneration ([N]) biomarkers, the mechanistic pathways of how AT[N] biomarkers spreading throughout the brain remain elusive.
no code implementations • 28 Nov 2021 • Qianqian Song
Specifically, we restrict our interest to the so-called well-clustered datasets and construct an \emph{approximate posterior} according to the clustering information.