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ORCIDCheng Li 0008
Person information
- affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Paul C. Lauterbur Research Center for Biomedical Imaging, China
Other persons with the same name
- Cheng Li — disambiguation page
- Cheng Li 0001
![[0000-0001-7064-6120]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7064-6120")
— University of Science and Technology of China (USTC), China (and 1 more) - Cheng Li 0002 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Clear Water Bay, Hong Kong
- Cheng Li 0003 — Deakin University, Center for Pattern Recognition and Data Analytics (PRaDA), Geelong, Australia
- Cheng Li 0004 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Wireless Communications Technology, China
- Cheng Li 0005 — Memorial University of Newfoundland, Department of Electrical and Computer Engineering, St. John's, NL, Canada
- Cheng Li 0006 — College of William and Mary, Department of Computer Science, Williamsburg, VA, USA
- Cheng Li 0007 — Beihang University, School of Instrumentation Science and Opto-electronics Engineering, Beijing, China
- Cheng Li 0009 — SenseTime Research, Beijing, China (and 1 more)
- Cheng Li 0010 — University of California, Davis, CA, USA (and 1 more)
- Cheng Li 0011 — University of Rochester, Department of Electrical and Computer Engineering, NY, USA (and 1 more)
- Cheng Li 0012 — Google, Mountain View, CA, USA (and 1 more)
- Cheng Li 0013 — University of Kent, UK
- Cheng Li 0014 — University of Illinois Urbana-Champaign, IL, USA
- Cheng Li 0015 — Harbin Institute of Technology, Department of Control Science and Engineering, China (and 1 more)
- Cheng Li 0016 — Peking University, Center For Biolnformatics, Beijing, China (and 3 more)
- Cheng Li 0017 — Xidian University, Institute of Intelligent Control and Image Engineering, Xi'an, China
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2020 – today
- 2024
[j10]Juan Zou, Tingrui Pei, Cheng Li, Ruoyou Wu, Shanshan Wang:
Self-Supervised Federated Learning for Fast MR Imaging. IEEE Trans. Instrum. Meas. 73: 1-11 (2024)- 2023
- [j9]Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Yusong Lin, Shanshan Wang:
Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading. Biomed. Signal Process. Control. 85: 104876 (2023) - [j8]Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Ziyao Zhang, Qiegen Liu, Yan Xi, Hairong Zheng:
PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2659-2670 (2023) - [c18]Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang:
Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans. ISBI 2023: 1-4 - [c17]Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang:
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation. ISBI 2023: 1-4 - [c16]Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Leslie Ying, Hairong Zheng, Shanshan Wang:
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. ISBI 2023: 1-4 - [c15]Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang:
Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI. ISBI 2023: 1-4 - [i23]Weijian Huang, Hao Yang, Cheng Li, Mingtong Dai, Rui Yang, Shanshan Wang:
MGA: Medical generalist agent through text-guided knowledge transformation. CoRR abs/2303.08562 (2023) - [i22]Hao Yang, Weijian Huang, Jiarun Liu, Cheng Li, Shanshan Wang:
Few-shot Class-incremental Learning for Cross-domain Disease Classification. CoRR abs/2304.05734 (2023) - 2022
- [j7]Diping Song, Fei Li, Cheng Li, Jian Xiong, Junjun He, Xiulan Zhang, Yu Qiao:
Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosis. Comput. Biol. Medicine 151(Part): 106283 (2022) - [c14]Weijian Huang, Cheng Li, Wenxin Fan, Ziyao Zhang, Tong Zhang, Yongjin Zhou, Qiegen Liu, Shanshan Wang:
Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction. MLMIR@MICCAI 2022: 3-13 - [i21]Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Hairong Zheng, Yusong Lin, Shanshan Wang:
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading. CoRR abs/2201.02746 (2022) - [i20]Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Hairong Zheng:
PARCEL: Physics-based unsupervised contrastive representation learning for parallel MR imaging. CoRR abs/2202.01494 (2022) - [i19]Weijian Huang, Cheng Li, Wenxin Fan, Yongjin Zhou, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Rethinking the optimization process for self-supervised model-driven MRI reconstruction. CoRR abs/2203.09724 (2022) - [i18]Juan Zou, Cheng Li, Sen Jia, Ruoyou Wu, Tingrui Pei, Hairong Zheng, Shanshan Wang:
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging. CoRR abs/2208.03904 (2022) - [i17]Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang:
Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI. CoRR abs/2211.07966 (2022) - [i16]Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang:
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans. CoRR abs/2211.07993 (2022) - [i15]Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang:
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation. CoRR abs/2211.08783 (2022) - [i14]Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Zhenzhen Xue, Hairong Zheng, Shanshan Wang:
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. CoRR abs/2211.08840 (2022) - [i13]Xue Liu, Juan Zou, Xiawu Zheng, Cheng Li, Hairong Zheng, Shanshan Wang:
Iterative Data Refinement for Self-Supervised MR Image Reconstruction. CoRR abs/2211.13440 (2022) - 2021
- [j6]Junjun He, Cheng Li, Jin Ye, Yu Qiao, Lixu Gu:
Multi-label ocular disease classification with a dense correlation deep neural network. Biomed. Signal Process. Control. 63: 102167 (2021) - [j5]Junjun He, Cheng Li, Jin Ye, Yu Qiao, Lixu Gu:
Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification. Biomed. Signal Process. Control. 67: 102491 (2021) - [j4]Cheng Li, Jingxu Xu, Qiegen Liu, Yongjin Zhou, Lisha Mou, Zuhui Pu, Yong Xia, Hairong Zheng, Shanshan Wang:
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1003-1013 (2021) - [j3]Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang:
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint. IEEE Trans. Medical Imaging 40(10): 2589-2599 (2021) - [c13]Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Lixu Gu, Yu Qiao:
Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation. ISBI 2021: 571-574 - [c12]Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao:
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. MICCAI (3) 2021: 48-58 - [c11]Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. MICCAI (6) 2021: 382-391 - [c10]Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao:
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. MICCAI (1) 2021: 569-578 - [i12]Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. CoRR abs/2109.12502 (2021) - [i11]Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao:
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. CoRR abs/2109.12629 (2021) - [i10]Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao:
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. CoRR abs/2109.12634 (2021) - [i9]Longfei Li, Rui Yang, Xin Chen, Cheng Li, Hairong Zheng, Yusong Lin, Zaiyi Liu, Shanshan Wang:
Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study. CoRR abs/2112.13686 (2021) - 2020
- [c9]Zhenkun Peng, Jiaxin Li, Cheng Li, Lan Zhang, Hairong Zheng, Shanshan Wang:
A Deep Residual Sparse and Cross Domain Reconstruction Network for Dynamic MR Imaging. ICCPR 2020: 350-355 - [c8]Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Yu Qiao, Lixu Gu:
Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs. ISBI 2020: 1-4 - [c7]Junjun He, Cheng Li, Jin Ye, Shanshan Wang, Yu Qiao, Lixu Gu:
Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion. ISBI 2020: 1258-1261 - [c6]Haoyun Liang, Yu Gong, Hoel Kervadec, Cheng Li, Jing Yuan, Xin Liu, Hairong Zheng, Shanshan Wang:
Laplacian pyramid-based complex neural network learning for fast MR imaging. MIDL 2020: 454-464 - [i8]Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang:
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint. CoRR abs/2008.01896 (2020) - [i7]Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang:
AIDE: Annotation-efficient deep learning for automatic medical image segmentation. CoRR abs/2012.04885 (2020)
2010 – 2019
- 2019
- [j2]Zhengkun Yi, Cheng Li:
Anti-Drift in Electronic Nose via Dimensionality Reduction: A Discriminative Subspace Projection Approach. IEEE Access 7: 170087-170095 (2019) - [c5]Taohui Xiao, Wenqing Hua, Cheng Li, Shanshan Wang:
Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features. ISICDM 2019: 208-213 - [c4]Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang:
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. MICCAI (3) 2019: 30-38 - [c3]Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. MICCAI (2) 2019: 57-65 - [c2]Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang:
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. MICCAI (3) 2019: 247-255 - [c1]Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. MICCAI (3) 2019: 266-274 - [i6]Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang:
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies. CoRR abs/1907.07000 (2019) - [i5]Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. CoRR abs/1907.07008 (2019) - [i4]Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. CoRR abs/1908.01997 (2019) - [i3]Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang:
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. CoRR abs/1908.02054 (2019) - 2018
- [j1]Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification. IEEE Trans. Biomed. Eng. 65(9): 1935-1942 (2018) - [i2]Jingxu Xu, Cheng Li, Yongjin Zhou, Lisha Mou, Hairong Zheng, Shanshan Wang:
Classifying Mammographic Breast Density by Residual Learning. CoRR abs/1809.10241 (2018) - [i1]Hui Sun, Cheng Li, Boqiang Liu, Shanshan Wang:
AUNet: Breast Mass Segmentation of Whole Mammograms. CoRR abs/1810.10151 (2018)
Coauthor Index
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