Zobrazeno 1 - 10
of 243
pro vyhledávání: '"Xie, Wanqing"'
Autor:
Huang, Yongsong, Xie, Wanqing, Li, Mingzhen, Cheng, Mingmei, Wu, Jinzhou, Wang, Weixiao, You, Jane, Liu, Xiaofeng
Publikováno v:
In: Frangi, A., de Bruijne, M., Wassermann, D., Navab, N. (eds) Information Processing in Medical Imaging. IPMI 2023. Lecture Notes in Computer Science, vol 13939. Springer, Cham
Federated learning (FL) enables multiple client medical institutes collaboratively train a deep learning (DL) model with privacy protection. However, the performance of FL can be constrained by the limited availability of labeled data in small instit
Externí odkaz:
http://arxiv.org/abs/2310.15371
Autor:
Mi, Aoyue, Hao, Mingyao, Zhou, Ziyang, Zhou, Jiazheng, Xu, Luyao, Zhang, Zhenzhen, Xie, Wanqing, Zhao, Yingying, Dou, Zhiqiang, Li, Zhaofeng
Publikováno v:
In Complementary Therapies in Medicine October 2024 85
Autor:
Xie, Wanqing, Hu, Jing, Liang, Pengcheng, Mei, Qiao, Wang, Aodi, Liu, Qiuyuan, Liu, Xiaofeng, Wu, Juan, Yang, Xiaodong, Zhu, Nannan, Bai, Bingqing, Mei, Yiqing, Liang, Zhen, Han, Wei, Cheng, Mingmei
Publikováno v:
In Gastrointestinal Endoscopy May 2024 99(5):767-777
The Self-Rating Depression Scale (SDS) questionnaire is commonly utilized for effective depression preliminary screening. The uncontrolled self-administered measure, on the other hand, maybe readily influenced by insouciant or dishonest responses, yi
Externí odkaz:
http://arxiv.org/abs/2107.10712
Self-Rating Depression Scale (SDS) questionnaire has frequently been used for efficient depression preliminary screening. However, the uncontrollable self-administered measure can be easily affected by insouciantly or deceptively answering, and produ
Externí odkaz:
http://arxiv.org/abs/2106.13393
Autor:
Veltkamp, Roland, Harvey, Kirsten H., Korompoki, Eleni, D’Anna, Lucio, Halse, Omid, Harvey, Emily R., Hügen, Klemens, Malzahn, Uwe, Ullmann, Sabine, Schuhmann, Carolin, Todd, Gabriele Putz, Brinz, Hannes, Fiessler, Cornelia, Heuschmann, Peter U., Haas, Kirsten, Rücker, Viktoria, Enzinger, Christian, Ropele, Stefan, Pinter, Daniela, Haidegger, Melanie, Gattringer, Thomas, Fandler-Höfler, Simon, Wolfe, Charles D.A., Wang, Yanzhong, Wafa, Hatem A., Montaner, Joan, Palà, Elena, Penalba, Anna, Vallverdu, Marcel Lamana, Pilco, Daisy Guaman, Debette, Stéphanie, Sibon, Igor, Renou, Pauline, Lachaize, Morgane, Milan, Léa, Heyvang, Nathalie, Ledure, Sylvain, Michel, Pascale, Conhoc, Johanna, Donnadieu, Léa, Hyves, Kelly, Caso, Valeria, Mosconi, Maria Giulia, Graziani, Mara, Cancelloni, Virginia, Marchini, Laura, Koehler, Bianca Emanuela, Nielsen, Peter Brønnum, Larsen, Torben Bjerregaard, Lip, Gregory Y.H., Horstmann, Solveigh, Purrucker, Jan, Ringleb, Peter, Haffa, Mariam, Klein, Sabrina, Taylor, Lenka, Hoppe-Tichy, Torsten, Haefeli, Walter E., Seidling, Hanna M., Burhenne, Jürgen, Foerster, Kathrin I., Wurmbach, Viktoria, Marquart, Claudia, Lane, Deirdre A., Ivany, Elena, Lotto, Robyn, Marshall, Iain, Xie, Wanqing, Johnson, Catherine O.
Publikováno v:
In The Lancet Regional Health - Europe March 2024 38
The widely-used cross-entropy (CE) loss-based deep networks achieved significant progress w.r.t. the classification accuracy. However, the CE loss can essentially ignore the risk of misclassification which is usually measured by the distance between
Externí odkaz:
http://arxiv.org/abs/2105.00101
Autor:
Xie, Wanqing1 (AUTHOR), Hsu, Szuyao1 (AUTHOR), Lin, Yuxuan1 (AUTHOR), Xie, Lv1 (AUTHOR), Jin, Xia1 (AUTHOR), Zhu, Ziyu1 (AUTHOR), Guo, Yunlu1 (AUTHOR), Chen, Caiyang1 (AUTHOR), Huang, Dan1 (AUTHOR) huangdan@renji.com, Boltze, Johannes2 (AUTHOR) johannes.boltze@warwick.ac.uk, Li, Peiying1,3,4 (AUTHOR) peiyingli.md@gmail.com
Publikováno v:
CNS Neuroscience & Therapeutics. Mar2024, Vol. 30 Issue 3, p1-12. 12p.
Publikováno v:
In Artificial Intelligence In Medicine December 2023 146
Autor:
Xie, Wanqing, Liu, Manli, Okoli, Chizimuzo T.C., Zeng, Li, Huang, Shuqi, Ye, Xin, Liu, Fan, Wang, Jialin
Publikováno v:
In International Journal of Nursing Studies December 2023 148