Cheng Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Medical Image Segmentation

Image Segmentation

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Ruoyou Wu, Cheng Li, Juan Zou, Yong Liang, Shanshan Wang
Model-based federated learning for accurate MR image reconstruction from undersampled k-space data. Comput. Biol. Medicine 180 (2024)
Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Zan Chen, Yuanjing Feng, Hairong Zheng, Shanshan Wang
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging. CoRR (2024)
Juan Zou, Tingrui Pei, Cheng Li, Ruoyou Wu, Shanshan Wang
Self-Supervised Federated Learning for Fast MR Imaging. IEEE Trans. Instrum. Meas. 73 (2024)
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang
Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI. ISBI (2023)
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)
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)
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) (2023)
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)
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)
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)
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 (2021)
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 (2021)
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)
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 (2021)
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) (2021)
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) (2021)
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)
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)
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 (2020)
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)
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. MICCAI (3) (2019)
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)
Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. CoRR (2019)
Taohui Xiao, Wenqing Hua, Cheng Li, Shanshan Wang
Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features. ISICDM (2019)
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 (2019)
Zhengkun Yi, Cheng Li
Anti-Drift in Electronic Nose via Dimensionality Reduction: A Discriminative Subspace Projection Approach. IEEE Access 7 (2019)
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. CoRR (2019)
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 (2019)
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)
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)
Hui Sun, Cheng Li, Boqiang Liu, Shanshan Wang
AUNet: Breast Mass Segmentation of Whole Mammograms. CoRR (2018)
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) (2018)
Jingxu Xu, Cheng Li, Yongjin Zhou, Lisha Mou, Hairong Zheng, Shanshan Wang
Classifying Mammographic Breast Density by Residual Learning. CoRR (2018)