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ORCIDQing Chang 0004
Person information
- affiliation: Shanghai University of Medicine and Health Sciences, China
- affiliation (2013-2015): Shanghai Jiao Tong University, School of Medicine, China
- affiliation: Ruijin Hospital, Shanghai Key Laboratory of Gastric Neoplasms, Department of Surgery, China
- affiliation (PhD 2013): University of Tokyo, Japan
Other persons with the same name
- Qing Chang — disambiguation page
- Qing Chang 0001
![[0000-0003-3744-1371]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3744-1371")
— University of Virginia, Department of Mechanical and Aerospace Engineering, VA, USA (and 2 more) - Qing Chang 0002 — Tianjin University of Commerce, School of Mechanical Engineering, China
- Qing Chang 0003 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Qing Chang 0005 — East China University of Science and Technology (ECUST), School of Information Science and Engineering, Shanghai, China
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2020 – today
- 2026
[j17]Pengchen Liang, Jianguo Chen, Yan Wu, Renkai Wu, Zhuangzhuang Chen, Bin Pu, Qing Chang, Guo Ran:
A multilevel alignment and cross-fusion knowledge distillation framework for vision transformer-based medical image segmentation. Future Gener. Comput. Syst. 177: 108228 (2026)- 2025
- [j16]Xiaoxu Cui, Renkai Wu, Yinghao Liu, Peizhan Chen, Qing Chang, Pengchen Liang, Changyu He:
scSMD: a deep learning method for accurate clustering of single cells based on auto-encoder. BMC Bioinform. 26(1): 33 (2025) - [j15]Renkai Wu, Liuyue Pan, Pengchen Liang, Qing Chang, Xianjin Wang, Weihuan Fang:
SK-VM++: Mamba assists skip-connections for medical image segmentation. Biomed. Signal Process. Control. 105: 107646 (2025) - [j14]Renkai Wu, Pengchen Liang, Yinghao Liu, Yiqi Huang, Wangyan Li, Qing Chang:
Laparoscopic stereo matching using 3-Dimensional Fourier transform with full multi-scale features. Eng. Appl. Artif. Intell. 139: 109654 (2025) - [j13]Renkai Wu, Yinghao Liu, Pengchen Liang, Qing Chang:
H-vmunet: High-order Vision Mamba UNet for medical image segmentation. Neurocomputing 624: 129447 (2025) - [j12]Renkai Wu, Yinghao Liu, Guochen Ning, Pengchen Liang, Qing Chang:
UltraLight VM-UNet: Parallel Vision Mamba significantly reduces parameters for skin lesion segmentation. Patterns 6(11): 101298 (2025) - [j11]Pengchen Liang, Leijun Shi, Bin Pu, Renkai Wu, Jianguo Chen, Lixin Zhou, Lite Xu, Zhuangzhuang Chen, Qing Chang, Yiwei Li:
MambaSAM: A Visual Mamba-Adapted SAM Framework for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 29(8): 5824-5835 (2025) - [c3]Renkai Wu, Xianjin Wang, Pengchen Liang, Zhenyu Zhang, Qing Chang, Hao Tang:
Toward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots. ICRA 2025: 4070-4076 - [i8]Haishan Huang, Pengchen Liang, Naier Lin, Luxi Wang, Bin Pu, Jianguo Chen, Qing Chang, Xia Shen, Guo Ran:
Topology-Aware Wavelet Mamba for Airway Structure Segmentation in Postoperative Recurrent Nasopharyngeal Carcinoma CT Scans. CoRR abs/2502.14363 (2025) - [i7]Pengchen Liang, Bin Pu, Haishan Huang, Yiwei Li, Hualiang Wang, Weibo Ma, Qing Chang:
Vision Foundation Models in Medical Image Analysis: Advances and Challenges. CoRR abs/2502.14584 (2025) - [i6]Pengchen Liang, Leijun Shi, Huiping Yao, Bin Pu, Jianguo Chen, Lei Zhao, Haishan Huang, Zhuangzhuang Chen, Zhaozhao Xu, Lite Xu, Qing Chang, Yiwei Li:
Semantic Prior Distillation with Vision Foundation Model for Enhanced Rapid Bone Scintigraphy Image Restoration. CoRR abs/2503.02321 (2025) - [i5]Pengchen Liang, Haishan Huang, Bin Pu, Jianguo Chen, Xiang Hua, Jing Zhang, Weibo Ma, Zhuangzhuang Chen, Yiwei Li, Qing Chang:
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation. CoRR abs/2503.06976 (2025) - 2024
- [j10]Renkai Wu, Pengchen Liang, Xuan Huang, Liu Shi, Yuandong Gu, Haiqin Zhu, Qing Chang:
MHorUNet: High-order spatial interaction UNet for skin lesion segmentation. Biomed. Signal Process. Control. 88(Part B): 105517 (2024) - [j9]Renkai Wu, Hongli Lv, Pengchen Liang, Xiaoxu Cui, Qing Chang, Xuan Huang:
HSH-UNet: Hybrid selective high order interactive U-shaped model for automated skin lesion segmentation. Comput. Biol. Medicine 168: 107798 (2024) - [j8]Renkai Wu, Changyu He, Pengchen Liang, Yinghao Liu, Yiqi Huang, Weiping Liu, Biao Shu, Panlong Xu, Qing Chang:
MCF-SMSIS: Multi-tasking with complementary functions for stereo matching and surgical instrument segmentation. Comput. Biol. Medicine 179: 108923 (2024) - [j7]Pengchen Liang, Jianguo Chen, Qing Chang, Lei Yao:
RSKD: Enhanced medical image segmentation via multi-layer, rank-sensitive knowledge distillation in Vision Transformer models. Knowl. Based Syst. 293: 111664 (2024) - [j6]Renkai Wu, Pengchen Liang, Yiqi Huang, Qing Chang, Huiping Yao:
Automatic Segmentation of Hemorrhages in the Ultra-Wide Field Retina: Multi-Scale Attention Subtraction Networks and an Ultra-Wide Field Retinal Hemorrhage Dataset. IEEE J. Biomed. Health Informatics 28(12): 7369-7381 (2024) - [i4]Renkai Wu, Yinghao Liu, Pengchen Liang, Qing Chang:
H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation. CoRR abs/2403.13642 (2024) - [i3]Renkai Wu, Yinghao Liu, Pengchen Liang, Qing Chang:
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation. CoRR abs/2403.20035 (2024) - [i2]Renkai Wu, Xianjin Wang, Pengchen Liang, Zhenyu Zhang, Qing Chang, Hao Tang:
Toward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots. CoRR abs/2410.01395 (2024) - 2023
- [i1]Renkai Wu, Yinghao Liu, Pengchen Liang, Qing Chang:
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification. CoRR abs/2311.15625 (2023) - 2022
- [j5]Zezhou Hao, Pengchen Liang, Changyu He, Shuang Sha, Ziyuan Yang, Yixin Liu, Junfeng Shi, Zhenggang Zhu, Qing Chang:
Prognostic risk assessment model and drug sensitivity analysis of colon adenocarcinoma (COAD) based on immune-related lncRNA pairs. BMC Bioinform. 23(1): 435 (2022) - [c2]Xiaoyan Zheng, Zeng Zeng, Can Ma, Qing Chang, Ziyuan Zhao, Xulei Yang:
Malignancy Suspicious Region Guided Deep Neural Networks for Gastric Ulcer Classification. EMBC 2022: 451-454 - [c1]Luyang Jie, Pengchen Liang, Ziyuan Zhao, Jianguo Chen, Qing Chang, Zeng Zeng:
ADAN: An Adversarial Domain Adaptation Neural Network for Early Gastric Cancer Prediction. EMBC 2022: 2169-2172 - 2020
- [j4]Muyi Sun, Kaiyi Liang, Wenbao Zhang, Qing Chang, Xiaoguang Zhou:
Non-Local Attention and Densely-Connected Convolutional Neural Networks for Malignancy Suspiciousness Classification of Gastric Ulcer. IEEE Access 8: 15812-15822 (2020)
2010 – 2019
- 2019
- [j3]Ludi Wang, Wei Zhou, Qing Chang, Jiangen Chen, Xiaoguang Zhou:
Deep Ensemble Detection of Congestive Heart Failure Using Short-Term RR Intervals. IEEE Access 7: 69559-69574 (2019) - [j2]Muyi Sun, Guanhong Zhang, Hao Dang, Xingqun Qi, Xiaoguang Zhou, Qing Chang:
Accurate Gastric Cancer Segmentation in Digital Pathology Images Using Deformable Convolution and Multi-Scale Embedding Networks. IEEE Access 7: 75530-75541 (2019) - [j1]Hao Dang, Muyi Sun, Guanhong Zhang, Xingqun Qi, Xiaoguang Zhou, Qing Chang:
A Novel Deep Arrhythmia-Diagnosis Network for Atrial Fibrillation Classification Using Electrocardiogram Signals. IEEE Access 7: 75577-75590 (2019)
Coauthor Index
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