Cheng Li

90 papers Journal 58Unranked 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
Spherical Harmonics Representation Learning for High-Fidelity and Generalizable Super-Resolution in Diffusion MRI.
IEEE Trans. Biomed. Eng.
Ruoyou Wu, Jian Cheng, Cheng Li, Juan Zou, Wenxin Fan, Xinrui Ma, Hua Guo, Yong Liang, Shanshan Wang
2025 — conf
A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging.
MICCAI (10)
Xuanru Zhou, Jiarun Liu, Shoujun Yu, Hao Yang, Cheng Li, Tao Tan, Shanshan Wang
2025 J jnl
A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging.
CoRR
Xuanru Zhou, Jiarun Liu, Shoujun Yu, Hao Yang, Cheng Li, Tao Tan, Shanshan Wang
2025 J jnl
A Lightweight Network With Uncertainty-Guided Latent Space Refinement for Multi-Modal Brain Tissue and Tumor Extraction.
IEEE Trans. Comput. Biol. Bioinform.
Weijian Huang, Cheng Li, Yousuf Babiker M. Osman, Shanshan Wang
2025 J jnl
Automating vessel segmentation in the heart and brain: A trend to develop multi-modality and label-efficient deep learning techniques.
Biomed. Signal Process. Control.
Nazik Elsayed, Yousuf Babiker M. Osman, Cheng Li, Jiarun Liu, Weixin Si, Jiong Zhang, Shanshan Wang
2025 J jnl
Cross-Sequence Semi-Supervised Learning for Multi-Parametric MRI-Based Visual Pathway Delineation.
CoRR
Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Ruoyou Wu, Jianzhong He, Hairong Zheng, Shanshan Wang
2025 J jnl
Dual-Uncertainty Guided Multimodal MRI-Based Visual Pathway Extraction.
IEEE Trans. Biomed. Eng.
Alou Diakite, Cheng Li, Yousuf Babiker M. Osman, Zan Chen, Yiang Pan, Jiawei Zhang, Tao Tan, Hairong Zheng, Shanshan Wang
2025 J jnl
Generalizable Reconstruction for Accelerating MR Imaging via Federated Learning With Neural Architecture Search.
IEEE Trans. Medical Imaging
Ruoyou Wu, Cheng Li, Juan Zou, Xinfeng Liu, Hairong Zheng, Shanshan Wang
2025 J jnl
Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation.
CoRR
Xuanru Zhou, Cheng Li, Shuqiang Wang, Ye Li, Tao Tan, Hairong Zheng, Shanshan Wang
2024 — conf
AID-DTI: Accelerating High-Fidelity Diffusion Tensor Imaging with Detail-Preserving Model-Based Deep Learning.
CDMRI@MICCAI
Wenxin Fan, Jian Cheng, Cheng Li, Jing Yang, Ruoyou Wu, Juan Zou, Shanshan Wang
2024 J jnl
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning.
CoRR
Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Qiegen Liu, Shanshan Wang
2024 J jnl
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-preserving Model-based Deep Learning.
CoRR
Wenxin Fan, Jian Cheng, Cheng Li, Jing Yang, Ruoyou Wu, Juan Zou, Shanshan Wang
2024 — conf
Accurate Delineation of Cerebrovascular Structures from TOF-MRA with Connectivity-Reinforced Deep Learning.
MLMI@MICCAI (1)
Shoujun Yu, Cheng Li, Yousuf Babiker M. Osman, Shanshan Wang, Hairong Zheng
2024 — conf
CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-Assisted Implicit Neural Representation Learning.
MLMI@MICCAI (1)
Ruoyou Wu, Jian Cheng, Cheng Li, Juan Zou, Jing Yang, Wenxin Fan, Yong Liang, Shanshan Wang
2024 J jnl
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging.
CoRR
Wenxin Fan, Jian Cheng, Cheng Li, Xinrui Ma, Jing Yang, Juan Zou, Ruoyou Wu, Zan Chen, Yuanjing Feng, Hairong Zheng, Shanshan Wang
2024 — conf
Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques.
ISBI
Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang
2024 J jnl
Enhancing the medical foundation model with multi-scale and cross-modality feature learning.
CoRR
Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Shanshan Wang
2024 J jnl
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement.
CoRR
Cheng Li, Weijian Huang, Hao Yang, Jiarun Liu, Shanshan Wang
2024 J jnl
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement.
Medical Image Anal.
Weijian Huang, Cheng Li, Hao Yang, Jiarun Liu, Yong Liang, Hairong Zheng, Shanshan Wang
2024 J jnl
Generalizable vision-language pre-training for annotation-free pathology localization.
CoRR
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Shanshan Wang
2024 J jnl
LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation.
CoRR
Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Hua Han, Shanshan Wang
2024 — conf
Lesen: Label-Efficient Deep Learning for Multi-Parametric Mri-Based Visual Pathway Segmentation.
ISBI
Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Hua Han, Pei Dong, Shanshan Wang
2024 J jnl
MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning.
CoRR
Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Shanshan Wang
2024 — conf
Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning.
ISBI
Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang
2024 J jnl
Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation.
CoRR
Hua Han, Cheng Li, Lei Xie, Yuanjing Feng, Alou Diakite, Shanshan Wang
2024 J jnl
Model-based federated learning for accurate MR image reconstruction from undersampled k-space data.
Comput. Biol. Medicine
Ruoyou Wu, Cheng Li, Juan Zou, Yong Liang, Shanshan Wang
2024 — conf
Multimodal Self-Supervised Learning for Lesion Localization.
ISBI
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Guangming Shi, Hairong Zheng, Qiegen Liu, Shanshan Wang
2024 J jnl
Multimodal self-supervised learning for lesion localization.
CoRR
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Shanshan Wang
2024 — conf
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling Under Continuous Representation.
CDMRI@MICCAI
Taohui Xiao, Jian Cheng, Wenxin Fan, Jing Yang, Cheng Li, Enqing Dong, Shanshan Wang
2024 J jnl
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation.
CoRR
Taohui Xiao, Jian Cheng, Wenxin Fan, Jing Yang, Cheng Li, Enqing Dong, Shanshan Wang
2024 J jnl
Self-Supervised Federated Learning for Fast MR Imaging.
IEEE Trans. Instrum. Meas.
Juan Zou, Tingrui Pei, Cheng Li, Ruoyou Wu, Shanshan Wang
2024 — conf
Simultaneous Q-Space Sampling Optimization and Reconstruction for Fast and High-Fidelity Diffusion Magnetic Resonance Imaging.
ISBI
Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Qiegen Liu, Hairong Zheng, Shanshan Wang
2024 J jnl
Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging.
CoRR
Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Shanshan Wang
2024 — conf
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining.
MICCAI (9)
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2023 — conf
Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI.
ISBI
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang
2023 J jnl
Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation.
CoRR
Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Shanshan Wang
2023 — conf
Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans.
ISBI
Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang
2023 J jnl
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning.
CoRR
Weijian Huang, Cheng Li, Hao Yang, Jiarun Liu, Shanshan Wang
2023 J jnl
Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading.
Biomed. Signal Process. Control.
Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Yusong Lin, Shanshan Wang
2023 — conf
FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Ruoyou Wu, Cheng Li, Juan Zou, Shanshan Wang
2023 J jnl
Few-shot Class-incremental Learning for Cross-domain Disease Classification.
CoRR
Hao Yang, Weijian Huang, Jiarun Liu, Cheng Li, Shanshan Wang
2023 — conf
Iterative Data Refinement for Self-Supervised Learning MR Image Reconstruction.
ISBI
Xue Liu, Juan Zou, Tao Sun, Ruoyou Wu, Xiawu Zheng, Cheng Li, Shanshan Wang
2023 J jnl
MGA: Medical generalist agent through text-guided knowledge transformation.
CoRR
Weijian Huang, Hao Yang, Cheng Li, Mingtong Dai, Rui Yang, Shanshan Wang
2023 J jnl
PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Ziyao Zhang, Qiegen Liu, Yan Xi, Hairong Zheng
2023 — conf
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation.
ISBI
Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Leslie Ying, Hairong Zheng, Shanshan Wang
2023 — conf
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation.
ISBI
Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang
2022 J jnl
Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI.
CoRR
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang
2022 J jnl
Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosis.
Comput. Biol. Medicine
Diping Song, Fei Li, Cheng Li, Jian Xiong, Junjun He, Xiulan Zhang, Yu Qiao
2022 J jnl
Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers.
BMC Bioinform.
Zhenzhen Xue, Cheng Li, Zhuo-Ming Luo, Shan-Shan Wang, Ying-Ying Xu
2022 J jnl
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans.
CoRR
Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang
2022 J jnl
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading.
CoRR
Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Hairong Zheng, Yusong Lin, Shanshan Wang
2022 — conf
Human Knowledge-Guided and Task-Augmented Deep Learning for Glioma Grading.
PRCV (2)
Yeqi Wang, Cheng Li, Yusong Lin
2022 J jnl
Iterative Data Refinement for Self-Supervised MR Image Reconstruction.
CoRR
Xue Liu, Juan Zou, Xiawu Zheng, Cheng Li, Hairong Zheng, Shanshan Wang
2022 J jnl
PARCEL: Physics-based unsupervised contrastive representation learning for parallel MR imaging.
CoRR
Shanshan Wang, Ruoyou Wu, Cheng Li, Juan Zou, Hairong Zheng
2022 — conf
Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction.
MLMIR@MICCAI
Weijian Huang, Cheng Li, Wenxin Fan, Ziyao Zhang, Tong Zhang, Yongjin Zhou, Qiegen Liu, Shanshan Wang
2022 J jnl
Rethinking the optimization process for self-supervised model-driven MRI reconstruction.
CoRR
Weijian Huang, Cheng Li, Wenxin Fan, Yongjin Zhou, Qiegen Liu, Hairong Zheng, Shanshan Wang
2022 J jnl
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging.
CoRR
Juan Zou, Cheng Li, Sen Jia, Ruoyou Wu, Tingrui Pei, Hairong Zheng, Shanshan Wang
2022 J jnl
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation.
CoRR
Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Zhenzhen Xue, Hairong Zheng, Shanshan Wang
2022 J jnl
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation.
CoRR
Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang
2021 J jnl
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint.
IEEE Trans. Medical Imaging
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
2021 — conf
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images.
MICCAI (1)
Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao
2021 J jnl
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images.
CoRR
Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang, Lixu Gu, Yu Qiao
2021 — conf
Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation.
ISBI
Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Lixu Gu, Yu Qiao
2021 — conf
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation.
MICCAI (3)
Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao
2021 J jnl
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation.
CoRR
Junjun He, Jin Ye, Cheng Li, Diping Song, Wanli Chen, Shanshan Wang, Lixu Gu, Yu Qiao
2021 J jnl
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cheng Li, Jingxu Xu, Qiegen Liu, Yongjin Zhou, Lisha Mou, Zuhui Pu, Yong Xia, Hairong Zheng, Shanshan Wang
2021 J jnl
Multi-label ocular disease classification with a dense correlation deep neural network.
Biomed. Signal Process. Control.
Junjun He, Cheng Li, Jin Ye, Yu Qiao, Lixu Gu
2021 J jnl
Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study.
CoRR
Longfei Li, Rui Yang, Xin Chen, Cheng Li, Hairong Zheng, Yusong Lin, Zaiyi Liu, Shanshan Wang
2021 J jnl
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework.
CoRR
Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang
2021 J jnl
Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification.
Biomed. Signal Process. Control.
Junjun He, Cheng Li, Jin Ye, Yu Qiao, Lixu Gu
2021 — conf
Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework.
MICCAI (6)
Chen Hu, Cheng Li, Haifeng Wang, Qiegen Liu, Hairong Zheng, Shanshan Wang
2020 — conf
A Deep Residual Sparse and Cross Domain Reconstruction Network for Dynamic MR Imaging.
ICCPR
Zhenkun Peng, Jiaxin Li, Cheng Li, Lan Zhang, Hairong Zheng, Shanshan Wang
2020 J jnl
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint.
CoRR
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
2020 J jnl
AIDE: Annotation-efficient deep learning for automatic medical image segmentation.
CoRR
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
2020 — conf
Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion.
ISBI
Junjun He, Cheng Li, Jin Ye, Shanshan Wang, Yu Qiao, Lixu Gu
2020 — conf
Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs.
ISBI
Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Yu Qiao, Lixu Gu
2020 — conf
Laplacian pyramid-based complex neural network learning for fast MR imaging.
MIDL
Haoyun Liang, Yu Gong, Hoel Kervadec, Cheng Li, Jing Yuan, Xin Liu, Hairong Zheng, Shanshan Wang
2019 J jnl
Anti-Drift in Electronic Nose via Dimensionality Reduction: A Discriminative Subspace Projection Approach.
IEEE Access
Zhengkun Yi, Cheng Li
2019 — conf
CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke.
MICCAI (3)
Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019 J jnl
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke.
CoRR
Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019 — conf
Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features.
ISICDM
Taohui Xiao, Wenqing Hua, Cheng Li, Shanshan Wang
2019 — conf
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation.
MICCAI (2)
Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019 J jnl
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation.
CoRR
Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019 — conf
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging.
MICCAI (3)
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
2019 J jnl
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging.
CoRR
Yanxia Chen, Taohui Xiao, Cheng Li, Qiegen Liu, Shanshan Wang
2019 — conf
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies.
MICCAI (3)
Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang
2019 J jnl
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies.
CoRR
Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang
2018 J jnl
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.
IEEE Trans. Biomed. Eng.
Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2018 J jnl
AUNet: Breast Mass Segmentation of Whole Mammograms.
CoRR
Hui Sun, Cheng Li, Boqiang Liu, Shanshan Wang
2018 J jnl
Classifying Mammographic Breast Density by Residual Learning.
CoRR
Jingxu Xu, Cheng Li, Yongjin Zhou, Lisha Mou, Hairong Zheng, Shanshan Wang