Tingwei Quan

According to our database, Tingwei Quan authored at least 14 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

GDN: Guided down-sampling network for real-time semantic segmentation.

Die Luo, Hongtao Kang, Junan Long, Jun Zhang, Xiuli Liu, Tingwei Quan

Neurocomputing, 2023

ParamNet: A Parameter-variable Network for Fast Stain Normalization.

Hongtao Kang, Die Luo, Li Chen, Junbo Hu, Shenghua Cheng, Tingwei Quan, Shaoqun Zeng, Xiuli Liu

CoRR, 2023

Construction Site Fence Recognition Method Based on Multi-Scale Attention Fusion ENet Segmentation Network (S).

Xing Zhang, Tinglong Tang, Yirong Wu, Tingwei Quan

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

2022

Minimizing Probability Graph Connectivity Cost for Discontinuous Filamentary Structures Tracing in Neuron Image.

Qing Huang, Tingting Cao, Shaoqun Zeng, Anan Li, Tingwei Quan

IEEE J. Biomed. Health Informatics, 2022

Super-resolution Segmentation Network for Reconstruction of Packed Neurites.

Hang Zhou, Tingting Cao, Tian Liu, Shijie Liu, Lu Chen, Yijun Chen, Qing Huang, Wei Ye, Shaoqun Zeng, Tingwei Quan

Neuroinformatics, 2022

2021

GTree: an Open-source Tool for Dense Reconstruction of Brain-wide Neuronal Population.

Hang Zhou, Shiwei Li, Anan Li, Qing Huang, Feng Xiong, Ning Li, Jiacheng Han, Hongtao Kang, Yijun Chen, Yun Li, Huimin Lin, Yu-Hui Zhang, Xiaohua Lv, Xiuli Liu, Hui Gong, Qingming Luo, Shaoqun Zeng, Tingwei Quan

Neuroinformatics, 2021

2020

Brain-Wide Shape Reconstruction of a Traced Neuron Using the Convex Image Segmentation Method.

Shiwei Li, Tingwei Quan, Hang Zhou, Qing Huang, Tao Guan, Yijun Chen, Cheng Xu, Hongtao Kang, Anan Li, Ling Fu, Qingming Luo, Hui Gong, Shaoqun Zeng

Neuroinformatics, 2020

StainNet: a fast and robust stain normalization network.

Hongtao Kang, Die Luo, Weihua Feng, Li Chen, Junbo Hu, Shaoqun Zeng, Tingwei Quan, Xiuli Liu

CoRR, 2020

2019

Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites.

Shiwei Li, Tingwei Quan, Hang Zhou, Fangfang Yin, Anan Li, Ling Fu, Qingming Luo, Hui Gong, Shaoqun Zeng

Neuroinformatics, 2019

DeepBouton: Automated Identification of Single-Neuron Axonal Boutons at the Brain-Wide Scale.

Shenghua Cheng, Xiaojun Wang, Yurong Liu, Lei Su, Tingwei Quan, Ning Li, Fangfang Yin, Feng Xiong, Xiaomao Liu, Qingming Luo, Hui Gong, Shaoqun Zeng

Frontiers Neuroinformatics, 2019

2017

SparseTracer: the Reconstruction of Discontinuous Neuronal Morphology in Noisy Images.

Shiwei Li, Hang Zhou, Tingwei Quan, Jing Li, Yuxin Li, Anan Li, Qingming Luo, Hui Gong, Shaoqun Zeng

Neuroinformatics, 2017

Properties on n-dimensional convolution for image deconvolution.

Yizhi Song, Cheng Xu, Daoxin Ding, Hang Zhou, Tingwei Quan, Shiwei Li

CoRR, 2017

2016

Large-scale localization of touching somas from 3D images using density-peak clustering.

Shenghua Cheng, Tingwei Quan, Xiaomao Liu, Shaoqun Zeng

BMC Bioinform., 2016

2010

Weighted least squares support vector machine local region method for nonlinear time series prediction.

Tingwei Quan, Xiaomao Liu, Qian Liu

Appl. Soft Comput., 2010