Zobrazeno 1 - 10
of 1 571
pro vyhledávání: '"Fengtao P"'
Autor:
Fengtao Pei, Yihua Chen, Qianqian Wang, Liang Li, Yue Ma, Huifen Liu, Ye Duan, Tinglu Song, Haipeng Xie, Guilin Liu, Ning Yang, Ying Zhang, Wentao Zhou, Jiaqian Kang, Xiuxiu Niu, Kailin Li, Feng Wang, Mengqi Xiao, Guizhou Yuan, Yuetong Wu, Cheng Zhu, Xueyun Wang, Huanping Zhou, Yiliang Wu, Qi Chen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract To achieve high power conversion efficiency in perovskite/silicon tandem solar cells, it is necessary to develop a promising wide-bandgap perovskite absorber and processing techniques in relevance. To date, the performance of devices based o
Externí odkaz:
https://doaj.org/article/5e92a15e84a041ebac85adcb71aae619
Autor:
Ying Zhang, Chenxiao Zhou, Lizhi Lin, Fengtao Pei, Mengqi Xiao, Xiaoyan Yang, Guizhou Yuan, Cheng Zhu, Yu Chen, Qi Chen
Publikováno v:
Nano-Micro Letters, Vol 15, Iss 1, Pp 1-12 (2023)
Highlights The gelation of hole transport layer generates a dense and uniform hole transport layer film and significantly inhibits the aggregation of lithium bis(trifluoromethane sulfonyl)imide in spiro-OMeTAD. The gelated hole transport layer confer
Externí odkaz:
https://doaj.org/article/bf83c0a36635440b82180c095ebf8d37
The concept bottleneck model (CBM) is an interpretable-by-design framework that makes decisions by first predicting a set of interpretable concepts, and then predicting the class label based on the given concepts. Existing CBMs are trained with a fix
Externí odkaz:
http://arxiv.org/abs/2408.02265
Autor:
Ma, Jiabo, Guo, Zhengrui, Zhou, Fengtao, Wang, Yihui, Xu, Yingxue, Cai, Yu, Zhu, Zhengjie, Jin, Cheng, Lin, Yi, Jiang, Xinrui, Han, Anjia, Liang, Li, Chan, Ronald Cheong Kin, Wang, Jiguang, Cheng, Kwang-Ting, Chen, Hao
Foundation models pretrained on large-scale datasets are revolutionizing the field of computational pathology (CPath). The generalization ability of foundation models is crucial for the success in various downstream clinical tasks. However, current f
Externí odkaz:
http://arxiv.org/abs/2407.18449
Autor:
Xu, Yingxue, Wang, Yihui, Zhou, Fengtao, Ma, Jiabo, Yang, Shu, Lin, Huangjing, Wang, Xin, Wang, Jiguang, Liang, Li, Han, Anjia, Chan, Ronald Cheong Kin, Chen, Hao
Remarkable strides in computational pathology have been made in the task-agnostic foundation model that advances the performance of a wide array of downstream clinical tasks. Despite the promising performance, there are still several challenges. Firs
Externí odkaz:
http://arxiv.org/abs/2407.15362
The essence of precision oncology lies in its commitment to tailor targeted treatments and care measures to each patient based on the individual characteristics of the tumor. The inherent heterogeneity of tumors necessitates gathering information fro
Externí odkaz:
http://arxiv.org/abs/2406.19611
Post-hoc explainability methods such as Grad-CAM are popular because they do not influence the performance of a trained model. However, they mainly reveal "where" a model looks at for a given input, fail to explain "what" the model looks for (e.g., w
Externí odkaz:
http://arxiv.org/abs/2406.03421
Recently, we have witnessed impressive achievements in cancer survival analysis by integrating multimodal data, e.g., pathology images and genomic profiles. However, the heterogeneity and high dimensionality of these modalities pose significant chall
Externí odkaz:
http://arxiv.org/abs/2404.02394
Autor:
Zhou, Fengtao, Xu, Yingxue, Cui, Yanfen, Zhang, Shenyan, Zhu, Yun, He, Weiyang, Wang, Jiguang, Wang, Xin, Chan, Ronald, Lau, Louis Ho Shing, Han, Chu, Zhang, Dafu, Li, Zhenhui, Chen, Hao
Gastric cancer (GC) is a prevalent malignancy worldwide, ranking as the fifth most common cancer with over 1 million new cases and 700 thousand deaths in 2020. Locally advanced gastric cancer (LAGC) accounts for approximately two-thirds of GC diagnos
Externí odkaz:
http://arxiv.org/abs/2404.01192
Autor:
Jin, Fengtao, Borovik Jr, Alexander, Döhring, B. Michel, Ebinger, Benjamin, Müller, Alfred, Schippers, Stefan
Publikováno v:
Eur. Phys. J. D 78 (2024) 68
We present new experimental and theoretical cross sections for electron-impact single ionization of Xe$^{12+}$ and Xe$^{13+}$ ions, and double ionization of Xe$^{12+}$, Xe$^{13+}$ and Xe$^{14+}$ ions for collision energies from the respective ionizat
Externí odkaz:
http://arxiv.org/abs/2403.04042