Zobrazeno 1 - 10
of 717
pro vyhledávání: '"Ge, Cheng"'
Current reinforcement-learning methods are unable to directly learn policies that solve the minimum cost reach-avoid problem to minimize cumulative costs subject to the constraints of reaching the goal and avoiding unsafe states, as the structure of
Externí odkaz:
http://arxiv.org/abs/2410.22600
Autor:
Ma, Jun, Zhang, Yao, Gu, Song, Ge, Cheng, Wang, Ershuai, Zhou, Qin, Huang, Ziyan, Lyu, Pengju, He, Jian, Wang, Bo
Organ and cancer segmentation in abdomen Computed Tomography (CT) scans is the prerequisite for precise cancer diagnosis and treatment. Most existing benchmarks and algorithms are tailored to specific cancer types, limiting their ability to provide c
Externí odkaz:
http://arxiv.org/abs/2408.12534
Autor:
Ma, Jun, Xie, Ronald, Ayyadhury, Shamini, Ge, Cheng, Gupta, Anubha, Gupta, Ritu, Gu, Song, Zhang, Yao, Lee, Gihun, Kim, Joonkee, Lou, Wei, Li, Haofeng, Upschulte, Eric, Dickscheid, Timo, de Almeida, José Guilherme, Wang, Yixin, Han, Lin, Yang, Xin, Labagnara, Marco, Gligorovski, Vojislav, Scheder, Maxime, Rahi, Sahand Jamal, Kempster, Carly, Pollitt, Alice, Espinosa, Leon, Mignot, Tâm, Middeke, Jan Moritz, Eckardt, Jan-Niklas, Li, Wangkai, Li, Zhaoyang, Cai, Xiaochen, Bai, Bizhe, Greenwald, Noah F., Van Valen, David, Weisbart, Erin, Cimini, Beth A., Cheung, Trevor, Brück, Oscar, Bader, Gary D., Wang, Bo
Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or require manual interventions to specify hyper-parameters in different exp
Externí odkaz:
http://arxiv.org/abs/2308.05864
Autor:
Ma, Jun, Zhang, Yao, Gu, Song, Ge, Cheng, Ma, Shihao, Young, Adamo, Zhu, Cheng, Meng, Kangkang, Yang, Xin, Huang, Ziyan, Zhang, Fan, Liu, Wentao, Pan, YuanKe, Huang, Shoujin, Wang, Jiacheng, Sun, Mingze, Xu, Weixin, Jia, Dengqiang, Choi, Jae Won, Alves, Natália, de Wilde, Bram, Koehler, Gregor, Wu, Yajun, Wiesenfarth, Manuel, Zhu, Qiongjie, Dong, Guoqiang, He, Jian, Consortium, the FLARE Challenge, Wang, Bo
Quantitative organ assessment is an essential step in automated abdominal disease diagnosis and treatment planning. Artificial intelligence (AI) has shown great potential to automatize this process. However, most existing AI algorithms rely on many e
Externí odkaz:
http://arxiv.org/abs/2308.05862
Autor:
Kai Ge Cheng, Dian Xing Song, Hai Jun Hou, Yu Bo Gao, Miao Cao, Jin Chan Wang, Xin Yu Li, Ya Ru Zhao
Publikováno v:
Results in Physics, Vol 65, Iss , Pp 107954- (2024)
Geometries, stabilities, bonding nature, and vibrational properties of bimetallic KMgn0/– (n = 2–12) clusters have been comprehensively studied by CALYPSO code within DFT calculations. The results reveal the structural transition from 2D to 3D at
Externí odkaz:
https://doaj.org/article/19ed9c5f722e4fd48a4f55feb3721676
The Multi-Objective Multi-Agent Path Finding (MO-MAPF) problem is the problem of finding the Pareto-optimal frontier of collision-free paths for a team of agents while minimizing multiple cost metrics. Examples of such cost metrics include arrival ti
Externí odkaz:
http://arxiv.org/abs/2211.12885
Deep learning has seen increasing applications in time series in recent years. For time series anomaly detection scenarios, such as in finance, Internet of Things, data center operations, etc., time series usually show very flexible baselines dependi
Externí odkaz:
http://arxiv.org/abs/2209.04561
De novo peptide sequencing from mass spectrometry data is an important method for protein identification. Recently, various deep learning approaches were applied for de novo peptide sequencing and DeepNovoV2 is one of the represetative models. In thi
Externí odkaz:
http://arxiv.org/abs/2203.08820
Autor:
He, Junjun, Yang, Hua, Huang, Bingding, Lyu, Mengye, Ma, Yongkang, Guo, Heng, Xu, Weixin, Maier-Hein, Klaus, Wu, Yajun, Ma, Jun, Zhang, Yao, Gu, Song, Ge, Cheng, Mae, Shihao, Young, Adamo, Zhu, Cheng, Yang, Xin, Meng, Kangkang, Huang, Ziyan, Zhang, Fan, Pan, Yuanke, Huang, Shoujin, Wang, Jiacheng, Sun, Mingze, Zhang, Rongguo, Jia, Dengqiang, Choi, Jae Won, Alves, Natália, de Wilde, Bram, Koehler, Gregor, Lai, Haoran, Wang, Ershuai, Wiesenfarth, Manuel, Zhu, Qiongjie, Dong, Guoqiang, He, Jian, Wang, Bo *
Publikováno v:
In The Lancet Digital Health November 2024 6(11):e815-e826
Autor:
Ge Cheng, Kai, Xing Song, Dian, Jun Hou, Hai, Bo Gao, Yu, Cao, Miao, Chan Wang, Jin, Yu Li, Xin, Ru Zhao, Ya
Publikováno v:
In Results in Physics October 2024 65