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Chengyan Wang
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2020 – today
- 2025
- [j13]Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba. Medical Image Anal. 99: 103334 (2025) - 2024
- [j12]Jun Lyu, Shuo Wang, Yapeng Tian, Jing Zou, Shunjie Dong, Chengyan Wang, Angelica I. Avilés-Rivero, Jing Qin:
STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution. Medical Image Anal. 94: 103142 (2024) - [j11]Hang Yu, Shu Wu, Rencheng Zheng, Ruokun Li, Qidong Wang, Caizhong Chen, Fei Dai, Weibo Chen, Chengyan Wang, He Wang:
Generative Adversarial Registration Network for Multi-Contrast Liver MRI Registration and Added Value to Hepatocellular Carcinoma Segmentation: A Multicentre Study. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1714-1727 (2024) - [j10]Jun Lyu, Guangyuan Li, Chengyan Wang, Qing Cai, Qi Dou, David Zhang, Jing Qin:
Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12004-12014 (2024) - [c12]Qing Li, Yizhe Zhang, Yan Li, Jun Lyu, Meng Liu, Longyu Sun, Mengting Sun, Qirong Li, Wenyue Mao, Xinran Wu, Yajing Zhang, Yinghua Chu, Shuo Wang, Chengyan Wang:
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation. MICCAI (12) 2024: 432-442 - [e1]Oscar Camara, Esther Puyol-Antón, Maxime Sermesant, Avan Suinesiaputra, Qian Tao, Chengyan Wang, Alistair A. Young:
Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14507, Springer 2024, ISBN 978-3-031-52447-9 [contents] - [i12]Zi Wang, Min Xiao, Yirong Zhou, Chengyan Wang, Naiming Wu, Yi Li, Yiwen Gong, Shufu Chang, Yinyin Chen, Liuhong Zhu, Jianjun Zhou, Congbo Cai, He Wang, Di Guo, Guang Yang, Xiaobo Qu:
Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI. CoRR abs/2402.15939 (2024) - [i11]Yirong Zhou, Chengyan Wang, Mengtian Lu, Kunyuan Guo, Zi Wang, Dan Ruan, Rui Guo, Peijun Zhao, Jianhua Wang, Naiming Wu, Jianzhong Lin, Yinyin Chen, Hang Jin, Lianxin Xie, Lilan Wu, Liuhong Zhu, Jianjun Zhou, Congbo Cai, He Wang, Xiaobo Qu:
Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI. CoRR abs/2405.10570 (2024) - [i10]Jiahao Huang, Liutao Yang, Fanwen Wang, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Avilés-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang:
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba. CoRR abs/2405.17659 (2024) - [i9]Qing Li, Yizhe Zhang, Yan Li, Jun Lyu, Meng Liu, Longyu Sun, Mengting Sun, Qirong Li, Wenyue Mao, Xinran Wu, Yajing Zhang, Yinghua Chu, Shuo Wang, Chengyan Wang:
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation. CoRR abs/2406.12646 (2024) - [i8]Zi Wang, Fanwen Wang, Chen Qin, Jun Lyu, Ouyang Cheng, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Qin Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair A. Young, Michael Markl, He Wang, Lianming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang:
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. CoRR abs/2406.19043 (2024) - [i7]Ahjol Senbi, Tianyu Huang, Fei Lyu, Qing Li, Yuhui Tao, Wei Shao, Qiang Chen, Chengyan Wang, Shuo Wang, Tao Zhou, Yizhe Zhang:
Towards Ground-truth-free Evaluation of Any Segmentation in Medical Images. CoRR abs/2409.14874 (2024) - 2023
- [j9]Jun Lyu, Yapeng Tian, Qing Cai, Chengyan Wang, Jing Qin:
Adaptive channel-modulated personalized federated learning for magnetic resonance image reconstruction. Comput. Biol. Medicine 165: 107330 (2023) - [j8]Jun Lyu, Bin Sui, Chengyan Wang, Qi Dou, Jing Qin:
Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation. Expert Syst. Appl. 232: 120836 (2023) - [j7]Jun Lyu, Guangyuan Li, Chengyan Wang, Chen Qin, Shuo Wang, Qi Dou, Jing Qin:
Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. Medical Image Anal. 85: 102760 (2023) - [c11]Guangming Wang, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin:
Multi-level Temporal Information Sharing Transformer-Based Feature Reuse Network for Cardiac MRI Reconstruction. STACOM@MICCAI 2023: 410-420 - [c10]Xunkang Zhao, Jun Lyu, Fanwen Wang, Chengyan Wang, Jing Qin:
Temporal Super-Resolution for Fast T1 Mapping. STACOM@MICCAI 2023: 443-453 - [i6]Zi Wang, Xiaotong Yu, Chengyan Wang, Weibo Chen, Jiazheng Wang, Ying-Hua Chu, Hongwei Sun, Rushuai Li, Peiyong Li, Fan Yang, Haiwei Han, Taishan Kang, Jianzhong Lin, Chen Yang, Shufu Chang, Zhang Shi, Sha Hua, Yan Li, Juan Hu, Liuhong Zhu, Jianjun Zhou, Meijing Lin, Jiefeng Guo, Congbo Cai, Zhong Chen, Di Guo, Xiaobo Qu:
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction. CoRR abs/2307.13220 (2023) - [i5]Chengyan Wang, Jun Lyu, Shuo Wang, Chen Qin, Kunyuan Guo, Xinyu Zhang, Xiaotong Yu, Yan Li, Fanwen Wang, Jianhua Jin, Zhang Shi, Ziqiang Xu, Yapeng Tian, Sha Hua, Zhensen Chen, Meng Liu, Mengting Sun, Xutong Kuang, Kang Wang, Haoran Wang, Hao Li, Ying-Hua Chu, Guang Yang, Wenjia Bai, Xiahai Zhuang, He Wang, Jing Qin, Xiaobo Qu:
CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction. CoRR abs/2309.10836 (2023) - 2022
- [j6]Fanwen Wang, Hui Zhang, Fei Dai, Weibo Chen, Shuai Xu, Zidong Yang, Dinggang Shen, Chengyan Wang, He Wang:
Multiple B-Value Model-Based Residual Network (MORN) for Accelerated High-Resolution Diffusion-Weighted Imaging. IEEE J. Biomed. Health Informatics 26(9): 4575-4586 (2022) - [j5]Rencheng Zheng, Qidong Wang, Shuangzhi Lv, Cuiping Li, Chengyan Wang, Weibo Chen, He Wang:
Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM. IEEE Trans. Medical Imaging 41(10): 2965-2976 (2022) - [c9]Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin:
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution. CVPR 2022: 20604-20613 - [c8]Guangyuan Li, Jun Lyu, Chengyan Wang, Qi Dou, Jing Qin:
WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-contrast MRI Super-Resolution. MICCAI (6) 2022: 463-473 - [c7]Jun Lyu, Bin Sui, Chengyan Wang, Yapeng Tian, Qi Dou, Jing Qin:
DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging. MICCAI (6) 2022: 474-484 - [c6]Wenjian Huang, Hao Wang, Jiahao Xia, Chengyan Wang, Jianguo Zhang:
Density-driven Regularization for Out-of-distribution Detection. NeurIPS 2022 - [i4]Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin:
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution. CoRR abs/2203.13963 (2022) - [i3]Shuo Wang, Chen Qin, Chengyan Wang, Kang Wang, Haoran Wang, Chen Chen, Cheng Ouyang, Xutong Kuang, Chengliang Dai, Yuanhan Mo, Zhang Shi, Chenchen Dai, Xinrong Chen, He Wang, Wenjia Bai:
The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). CoRR abs/2210.06385 (2022) - 2021
- [j4]Guangyuan Li, Jun Lv, Chengyan Wang:
A Modified Generative Adversarial Network Using Spatial and Channel-Wise Attention for CS-MRI Reconstruction. IEEE Access 9: 83185-83198 (2021) - [j3]Guangyuan Li, Jun Lv, Xiangrong Tong, Chengyan Wang, Guang Yang:
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network With Attention and Cyclic Loss. IEEE Access 9: 105951-105964 (2021) - [j2]Jun Lv, Guangyuan Li, Xiangrong Tong, Weibo Chen, Jiahao Huang, Chengyan Wang, Guang Yang:
Transfer learning enhanced generative adversarial networks for multi-channel MRI reconstruction. Comput. Biol. Medicine 134: 104504 (2021) - [j1]Hui Zhang, Chengyan Wang, Weibo Chen, Fanwen Wang, Zidong Yang, Shuai Xu, He Wang:
Deep learning based multiplexed sensitivity-encoding (DL-MUSE) for high-resolution multi-shot DWI. NeuroImage 244: 118632 (2021) - [c5]Kexin Wang, Shuo Wang, Minghua Xiong, Chengyan Wang, He Wang:
Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics. MICCAI (7) 2021: 33-42 - [i2]Jun Lv, Guangyuan Li, Xiangrong Tong, Weibo Chen, Jiahao Huang, Chengyan Wang, Guang Yang:
Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction. CoRR abs/2105.08175 (2021) - [i1]Guangyuan Li, Jun Lv, Xiangrong Tong, Chengyan Wang, Guang Yang:
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss. CoRR abs/2107.09989 (2021)
2010 – 2019
- 2019
- [c4]Yiming Li, Aiqing He, Chengyan Wang, Lin Shang:
RAN-PSO: Random Apollonian Network embedded Partical Swarm Optimization Method. SSCI 2019: 1786-1792 - 2017
- [c3]Chengyan Wang, Bing Xue, Lin Shang:
PSO-based parameters selection for the bilateral filter in image denoising. GECCO 2017: 51-58 - 2012
- [c2]Yi Xie, Chengyan Wang, Yizhi Wang, Yuan Zheng:
An efficient pub/sub protocol for WMNs based on Heuristic Markov Chain. ICNSC 2012: 203-208 - 2011
- [c1]Xijian Chen, Yi Xie, Chengyan Wang:
Implementation and analysis of IEEE 802.11 PSM in NS-2. ICMLC 2011: 1250-1255
Coauthor Index
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last updated on 2024-11-06 21:31 CET by the dblp team
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