no code implementations • 23 Nov 2022 • Cheng Ge, Han Zhang, Jiaoyang Li, Sven Koenig
Our theoretical results show that, when combined with either of these two new splitting strategies, MO-CBS maintains its completeness and optimality guarantees.
no code implementations • 10 Sep 2022 • Cheng Ge, Xi Chen, Ming Wang, Jin Wang
By using this deep network, we can easily locate the baseline position and then provide reliable and interpretable anomaly detection result.
no code implementations • 16 Mar 2022 • Cheng Ge, Yi Lu, Jia Qu, Liangxu Xie, Feng Wang, Hong Zhang, Ren Kong, Shan Chang
De novo peptide sequencing from mass spectrometry data is an important method for protein identification.
1 code implementation • 28 Oct 2020 • Jun Ma, Yao Zhang, Song Gu, Cheng Zhu, Cheng Ge, Yichi Zhang, Xingle An, Congcong Wang, Qiyuan Wang, Xin Liu, Shucheng Cao, Qi Zhang, Shangqing Liu, Yunpeng Wang, Yuhui Li, Jian He, Xiaoping Yang
With the unprecedented developments in deep learning, automatic segmentation of main abdominal organs seems to be a solved problem as state-of-the-art (SOTA) methods have achieved comparable results with inter-rater variability on many benchmark datasets.
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.