no code implementations • 7 Dec 2024 • Jianan Chen, Qin Hu, Fangtian Zhong, Yan Zhuang, Minghui Xu
In this paper, we propose Federated Unlearning with Indistinguishability (FUI) to unlearn the local data of a target client in DPFL for the first time.
no code implementations • 28 Nov 2024 • Chenyu Tang, Ruizhi Zhang, Shuo Gao, Zihe Zhao, Zibo Zhang, Jiaqi Wang, Cong Li, Junliang Chen, Yanning Dai, Shengbo Wang, Ruoyu Juan, Qiaoying Li, Ruimou Xie, Xuhang Chen, Xinkai Zhou, Yunjia Xia, Jianan Chen, Fanghao Lu, Xin Li, Ninglli Wang, Peter Smielewski, Yu Pan, Hubin Zhao, Luigi G. Occhipinti
At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings.
no code implementations • 14 May 2024 • Ke Liu, Fan Hu, Hui Lin, Xi Cheng, Jianan Chen, Jilin Song, Siyuan Feng, Gaofeng Su, Chen Zhu
This paper explores the optimization of Ground Delay Programs (GDP), a prevalent Traffic Management Initiative used in Air Traffic Management (ATM) to reconcile capacity and demand discrepancies at airports.
no code implementations • 14 May 2024 • Ke Liu, Kaijing Ding, Xi Cheng, Guanhao Xu, Xin Hu, Tong Liu, Siyuan Feng, Binze Cai, Jianan Chen, Hui Lin, Jilin Song, Chen Zhu
Since flight delay hurts passengers, airlines, and airports, its prediction becomes crucial for the decision-making of all stakeholders in the aviation industry and thus has been attempted by various previous research.
1 code implementation • 24 Jun 2023 • Jianan Chen, Vishwesh Ramanathan, Tony Xu, Anne L. Martel
Inspired by the large fluctuations across folds in the cross-validation performance of survival analyses, we design Monte-Carlo experiments to show that such fluctuation could be caused by label noise.
1 code implementation • 11 Jul 2022 • Jianan Chen, Lu Zhang, Qiong Wang, Cong Bai, Kidiyo Kpalma
Cross-modal retrieval has drawn much attention in both computer vision and natural language processing domains.
no code implementations • 9 Mar 2022 • Jianan Chen, Anne L. Martel
Cancer stage is a large determinant of patient prognosis and management in many cancer types, and is often assessed using medical imaging modalities, such as CT and MRI.
no code implementations • 4 Mar 2021 • Fabian Balsiger, Alain Jungo, Naren Akash R J, Jianan Chen, Ivan Ezhov, Shengnan Liu, Jun Ma, Johannes C. Paetzold, Vishva Saravanan R, Anjany Sekuboyina, Suprosanna Shit, Yannick Suter, Moshood Yekini, Guodong Zeng, Markus Rempfler
With this growth, however, come new challenges for the community.
1 code implementation • 12 Dec 2020 • Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel
Experimental results empirically validated our hypothesis that incorporating imaging features of all lesions improves outcome prediction for multifocal cancer.
no code implementations • 30 Apr 2020 • Fei Tang, Wanling Gao, Jianfeng Zhan, Chuanxin Lan, Xu Wen, Lei Wang, Chunjie Luo, Jiahui Dai, Zheng Cao, Xingwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
We use real-world benchmarks to cover the factors space that impacts the learning dynamics to the most considerable extent.
2 code implementations • 27 Apr 2020 • Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Yuntao Zhu, Ziwei Nie, Xiaoping Yang
Purpose: Accurate segmentation of lung and infection in COVID-19 CT scans plays an important role in the quantitative management of patients.
no code implementations • 17 Feb 2020 • Wanling Gao, Fei Tang, Jianfeng Zhan, Chuanxin Lan, Chunjie Luo, Lei Wang, Jiahui Dai, Zheng Cao, Xiongwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Xu Wen, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Gang Lu, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye
An end-to-end benchmark is a distillation of the essential attributes of an industry-scale application.
2 code implementations • MIDL 2019 • Jun Ma, Zhan Wei, Yiwen Zhang, Yixin Wang, Rongfei Lv, Cheng Zhu, Gaoxiang Chen, Jianan Liu, Chao Peng, Lei Wang, Yunpeng Wang, Jianan Chen
The \emph{second contribution} is that we systematically evaluated five benchmark methods on two representative public datasets.
no code implementations • 6 Sep 2019 • Jianan Chen, Laurent Milot, Helen M. C. Cheung, Anne L. Martel
The performance of the proposed pipeline was evaluated on an institutional MRI cohort of 108 patients with colorectal cancer liver metastases.
no code implementations • 5 Sep 2019 • Ozan Ciga, Jianan Chen, Anne Martel
Despite their success in many computer vision tasks, convolutional networks tend to require large amounts of labeled data to achieve generalization.