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ORCIDLi Guo 0019
Person information
- affiliation: Guangdong Women and Children Hospital, Medical Genetic Centre and Maternal and Children Metabolic-Genetic Key Laboratory, Guangzhou, China
Other persons with the same name
- Li Guo — disambiguation page
- Li Guo 0001
![[0000-0002-2529-7643]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2529-7643")
— Chinese Academy of Sciences, Institute of Information Engineering, Beijing China (and 1 more) - Li Guo 0002 — University of Central Lancashire, Preston, UK (and 1 more)
- Li Guo 0003 — Rutgers University, Department of Mathematics and Computer Science, Newark, NJ, USA (and 1 more)
- Li Guo 0004 — Beijing University of Posts and Telecommunications, School of Artificial Intelligence, Key Lab of Universal Wireless Communication, China
- Li Guo 0005 — University of Bordeaux, CNRS-IMS Laboratory, Bordeaux, France
- Li Guo 0006 — Waseda University, Tokyo, Japan
- Li Guo 0007 — University of Notre Dame, Notre Dame, IN, USA
- Li Guo 0008 — Dalian University of Technology, Dalian, China
- Li Guo 0009 — Chinese Academy of Sciences, Key Laboratory of Multiphase Reactions, Beijing, China
- Li Guo 0010 — Zhejiang Normal University, Jinhua, China
- Li Guo 0011 — Anhui Polytechnic University, School of Electrical Engineering, Wuhu, China (and 3 more)
- Li Guo 0012 — University of Massachusetts Amherst, MA, USA (and 2 more)
- Li Guo 0013 — Chongqing University, College of Communication Engineering, China
- Li Guo 0014 — Tianjin University, MOE Key Laboratory of Smart Grid, China (and 1 more)
- Li Guo 0015 — Sichuan University, College of Water Resource and Hydropower, Chengdu, China (and 1 more)
- Li Guo 0016 — Qingdao University, College of Computer Science and Technology, China (and 1 more)
- Li Guo 0017 — University of Borås, Swedish School of Textiles, Polymeric E-Textiles, Smart Textiles Technology Lab, Sweden (and 1 more)
- Li Guo 0018 — Manchester Metropolitan University, Department of Computing and Mathematics, UK
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2020 – today
- 2022
[j4]Chengchuang Lin, Hanbiao Chen, Jiesheng Huang, Jing Peng, Li Guo, Zhirong Yang, Jiahua Du, Shuangyin Li, Aihua Yin, Gansen Zhao:
ChromosomeNet: A massive dataset enabling benchmarking and building basedlines of clinical chromosome classification. Comput. Biol. Chem. 100: 107731 (2022)- [j3]Runhua Huang, Chengchuang Lin, Aihua Yin, Hanbiao Chen, Li Guo, Gansen Zhao, Xiaomao Fan, Shuangyin Li, Jinji Yang:
A Clinical Dataset and Various Baselines for Chromosome Instance Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 31-39 (2022) - [j2]Chengchuang Lin, Gansen Zhao, Zhirong Yang, Aihua Yin, Jianxin Wang, Li Guo, Hanbiao Chen, Zhaohui Ma, Lei Zhao, Haoyu Luo, Tianxing Wang, Bichao Ding, Xiongwen Pang, Qiren Chen:
CIR-Net: Automatic Classification of Human Chromosome Based on Inception-ResNet Architecture. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1285-1293 (2022) - 2021
- [j1]Chengchuang Lin, Gansen Zhao, Aihua Yin, Zhirong Yang, Li Guo, Hanbiao Chen, Lei Zhao, Shuangyin Li, Haoyu Luo, Zhaohui Ma:
A novel chromosome cluster types identification method using ResNeXt WSL model. Medical Image Anal. 69: 101943 (2021) - [c4]Jing Peng, Chengchuang Lin, Gansen Zhao, Aihua Yin, Hanbiao Chen, Li Guo, Shuangyin Li:
Identification of Incorrect Karyotypes Using Deep Learning. ICANN (1) 2021: 453-464 - [c3]Kaixin Huang, Chengchuang Lin, Runhua Huang, Gansen Zhao, Aihua Yin, Hanbiao Chen, Li Guo, Chun Shan, Ruihua Nie, Shuangyin Li:
A novel chromosome instance segmentation method based on geometry and deep learning. IJCNN 2021: 1-8 - 2020
- [c2]Chengchuang Lin, Gansen Zhao, Aihua Yin, Bichao Ding, Li Guo, Hanbiao Chen:
A Multi-Stages Chromosome Segmentation and Mixed Classification Method for Chromosome Automatic Karyotyping. WISA 2020: 365-376 - [c1]Chengchuang Lin, Aihua Yin, Qinglan Wu, Hanbiao Chen, Li Guo, Gansen Zhao, Xiaomao Fan, Haoyu Luo, Hua Tang:
Chromosome Cluster Identification Framework Based on Geometric Features and Machine Learning Algorithms. BIBM 2020: 2357-2363
Coauthor Index
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last updated on 2024-05-08 20:52 CEST by the dblp team
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