Classifying Mammographic Breast Density by Residual Learning. - Jingxu Xu; Cheng Li 008; Yongjin Zhou 002; Lisha Mou; Hairong Zheng; Shanshan Wang 002 (CoRR, 2018)

AUNet: Breast Mass Segmentation of Whole Mammograms. - Hui Sun; Cheng Li 008; Boqiang Liu; Shanshan Wang 002 (CoRR, 2018)

A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification. - Yongjin Zhou 002; Jingxu Xu; Qiegen Liu; Cheng Li 008; Zaiyi Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang 002 (IEEE Trans. Biomed. Eng., 2018)

Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features. - Taohui Xiao; Wenqing Hua; Cheng Li 008; Shanshan Wang 002 (ISICDM, 2019)

Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. - Cheng Li 008; Hui Sun; Zaiyi Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang 002 (MICCAI (2), 2019)

Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging. - Yanxia Chen; Taohui Xiao; Cheng Li 008; Qiegen Liu; Shanshan Wang 002 (MICCAI (3), 2019)

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. - Kehan Qi; Hao Yang 026; Cheng Li 008; Zaiyi Liu; Meiyun Wang; Qiegen Liu; Shanshan Wang 002 (MICCAI (3), 2019)

CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. - Hao Yang 026; Weijian Huang; Kehan Qi; Cheng Li 008; Xinfeng Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang 002 (MICCAI (3), 2019)

Anti-Drift in Electronic Nose via Dimensionality Reduction: A Discriminative Subspace Projection Approach. - Zhengkun Yi; Cheng Li 008 (IEEE Access, 2019)

A Deep Residual Sparse and Cross Domain Reconstruction Network for Dynamic MR Imaging. - Zhenkun Peng; Jiaxin Li; Cheng Li 008; Lan Zhang; Hairong Zheng; Shanshan Wang 002 (ICCPR, 2020)

Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion. - Junjun He; Cheng Li 008; Jin Ye 002; Shanshan Wang 002; Yu Qiao 001; Lixu Gu (ISBI, 2020)

Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs. - Cheng Li 008; Jin Ye 002; Junjun He; Shanshan Wang 002; Yu Qiao 001; Lixu Gu (ISBI, 2020)

Laplacian pyramid-based complex neural network learning for fast MR imaging. - Haoyun Liang; Yu Gong; Hoel Kervadec; Cheng Li 008; Jing Yuan 001; Xin Liu 053; Hairong Zheng; Shanshan Wang 002 (MIDL, 2020)

A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint. - Weijian Huang; Hao Yang 026; Xinfeng Liu; Cheng Li 008; Ian Zhang 002; Rongpin Wang; Hairong Zheng; Shanshan Wang 002 (CoRR, 2020)

AIDE: Annotation-efficient deep learning for automatic medical image segmentation. - Cheng Li 008; Rongpin Wang; Zaiyi Liu; Meiyun Wang; Hongna Tan; Yaping Wu; Xinfeng Liu; Hui Sun; Rui Yang; Xin Liu 053; Ismail Ben Ayed; Hairong Zheng; et al. (CoRR, 2020)

Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation. - Cheng Li 008; Jin Ye 002; Junjun He; Shanshan Wang 002; Lixu Gu; Yu Qiao 001 (ISBI, 2021)

A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. - Zijie Chen; Cheng Li 008; Junjun He; Jin Ye 002; Diping Song; Shanshan Wang 002; Lixu Gu; Yu Qiao 001 (MICCAI (1), 2021)

Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation. - Junjun He; Jin Ye 002; Cheng Li 008; Diping Song; Wanli Chen; Shanshan Wang 002; Lixu Gu; Yu Qiao 001 (MICCAI (3), 2021)

Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework. - Chen Hu; Cheng Li 008; Haifeng Wang 003; Qiegen Liu; Hairong Zheng; Shanshan Wang 002 (MICCAI (6), 2021)

Multi-label ocular disease classification with a dense correlation deep neural network. - Junjun He; Cheng Li 008; Jin Ye 002; Yu Qiao 001; Lixu Gu (Biomed. Signal Process. Control., 2021)

Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification. - Junjun He; Cheng Li 008; Jin Ye 002; Yu Qiao 001; Lixu Gu (Biomed. Signal Process. Control., 2021)

Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study. - Longfei Li; Rui Yang; Xin Chen 058; Cheng Li 008; Hairong Zheng; Yusong Lin; Zaiyi Liu; Shanshan Wang 002 (CoRR, 2021)

Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning. - Cheng Li 008; Jingxu Xu; Qiegen Liu; Yongjin Zhou 002; Lisha Mou; Zuhui Pu; Yong Xia 001; Hairong Zheng; Shanshan Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint. - Weijian Huang; Hao Yang 026; Xinfeng Liu; Cheng Li 008; Ian Zhang 002; Rongpin Wang; Hairong Zheng; Shanshan Wang 002 (IEEE Trans. Medical Imaging, 2021)

Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction. - Weijian Huang; Cheng Li 008; Wenxin Fan; Ziyao Zhang; Tong Zhang 017; Yongjin Zhou 002; Qiegen Liu; Shanshan Wang 002 (MLMIR@MICCAI, 2022)

Human Knowledge-Guided and Task-Augmented Deep Learning for Glioma Grading. - Yeqi Wang; Cheng Li 008; Yusong Lin (PRCV (2), 2022)

Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers. - Zhenzhen Xue; Cheng Li 008; Zhuo-Ming Luo; Shan-Shan Wang 002; Ying-Ying Xu (BMC Bioinform., 2022)

Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosis. - Diping Song; Fei Li; Cheng Li 008; Jian Xiong; Junjun He; Xiulan Zhang; Yu Qiao 001 (Comput. Biol. Medicine, 2022)

Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading. - Yeqi Wang; Longfei Li; Cheng Li 008; Yan Xi; Hairong Zheng; Yusong Lin; Shanshan Wang 002 (CoRR, 2022)

PARCEL: Physics-based unsupervised contrastive representation learning for parallel MR imaging. - Shanshan Wang 002; Ruoyou Wu; Cheng Li 008; Juan Zou; Hairong Zheng (CoRR, 2022)

Rethinking the optimization process for self-supervised model-driven MRI reconstruction. - Weijian Huang; Cheng Li 008; Wenxin Fan; Yongjin Zhou 002; Qiegen Liu; Hairong Zheng; Shanshan Wang 002 (CoRR, 2022)

SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging. - Juan Zou; Cheng Li 008; Sen Jia 005; Ruoyou Wu; Tingrui Pei; Hairong Zheng; Shanshan Wang 002 (CoRR, 2022)

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. - Yousuf Babiker M. Osman; Cheng Li 008; Weijian Huang; Nazik Elsayed; Zhenzhen Xue; Hairong Zheng; Shanshan Wang 002 (CoRR, 2022)

Iterative Data Refinement for Self-Supervised MR Image Reconstruction. - Xue Liu; Juan Zou; Xiawu Zheng; Cheng Li 008; Hairong Zheng; Shanshan Wang 002 (CoRR, 2022)

Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans. - Haoran Li; Cheng Li 008; Weijian Huang; Xiawu Zheng; Yan Xi; Shanshan Wang 002 (ISBI, 2023)

Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation. - Cheng Li 008; Yousuf Babiker M. Osman; Weijian Huang; Zhenzhen Xue; Hua Han; Hairong Zheng; Shanshan Wang 002 (ISBI, 2023)

Iterative Data Refinement for Self-Supervised Learning MR Image Reconstruction. - Xue Liu; Juan Zou; Tao Sun 025; Ruoyou Wu; Xiawu Zheng; Cheng Li 008; Shanshan Wang 002 (ISBI, 2023)

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. - Yousuf Babiker M. Osman; Cheng Li 008; Weijian Huang; Nazik Elsayed; Leslie Ying; Hairong Zheng; Shanshan Wang 002 (ISBI, 2023)

Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI. - Yeqi Wang; Weijian Huang; Cheng Li 008; Xiawu Zheng; Yusong Lin; Shanshan Wang 002 (ISBI, 2023)

FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction. - Ruoyou Wu; Cheng Li 008; Juan Zou; Shanshan Wang 002 (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

MGA: Medical generalist agent through text-guided knowledge transformation. - Weijian Huang; Hao Yang 026; Cheng Li 008; Mingtong Dai; Rui Yang; Shanshan Wang 002 (CoRR, 2023)

Few-shot Class-incremental Learning for Cross-domain Disease Classification. - Hao Yang 026; Weijian Huang; Jiarun Liu; Cheng Li 008; Shanshan Wang 002 (CoRR, 2023)

Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning. - Weijian Huang; Cheng Li 008; Hao Yang 026; Jiarun Liu; Shanshan Wang 002 (CoRR, 2023)

Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation. - Yousuf Babiker M. Osman; Cheng Li 008; Weijian Huang; Shanshan Wang 002 (CoRR, 2023)

PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging. - Shanshan Wang 002; Ruoyou Wu; Cheng Li 008; Juan Zou; Ziyao Zhang; Qiegen Liu; Yan Xi; Hairong Zheng (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading. - Yeqi Wang; Longfei Li; Cheng Li 008; Yan Xi; Yusong Lin; Shanshan Wang 002 (Biomed. Signal Process. Control., 2023)

Lesen: Label-Efficient Deep Learning for Multi-Parametric Mri-Based Visual Pathway Segmentation. - Alou Diakite; Cheng Li 008; Lei Xie 001; Yuanjing Feng; Hua Han; Pei Dong; Shanshan Wang 002 (ISBI, 2024)

Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques. - Weijian Huang; Cheng Li 008; Hong-Yu Zhou; Jiarun Liu; Hao Yang 026; Yong Liang; Guangming Shi; Hairong Zheng; Shanshan Wang 002 (ISBI, 2024)

Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning. - Jiarun Liu; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Hao Yang 026; Yong Liang; Guangming Shi; Hairong Zheng; Shanshan Wang 002 (ISBI, 2024)

Simultaneous Q-Space Sampling Optimization and Reconstruction for Fast and High-Fidelity Diffusion Magnetic Resonance Imaging. - Jing Yang; Jian Cheng 001; Cheng Li 008; Wenxin Fan; Juan Zou; Ruoyou Wu; Qiegen Liu; Hairong Zheng; Shanshan Wang 002 (ISBI, 2024)

Multimodal Self-Supervised Learning for Lesion Localization. - Hao Yang 026; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Jiarun Liu; Yong Liang; Guangming Shi; Hairong Zheng; Qiegen Liu; Shanshan Wang 002 (ISBI, 2024)

AID-DTI: Accelerating High-Fidelity Diffusion Tensor Imaging with Detail-Preserving Model-Based Deep Learning. - Wenxin Fan; Jian Cheng 001; Cheng Li 008; Jing Yang; Ruoyou Wu; Juan Zou; Shanshan Wang 002 (CDMRI@MICCAI, 2024)

Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. - Jiarun Liu; Hao Yang 026; Hong-Yu Zhou; Yan Xi; Lequan Yu; Cheng Li 008; Yong Liang; Guangming Shi; Yizhou Yu; Shaoting Zhang 001; Hairong Zheng; Shanshan Wang 002 (MICCAI (9), 2024)

RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling Under Continuous Representation. - Taohui Xiao; Jian Cheng 001; Wenxin Fan; Jing Yang; Cheng Li 008; Enqing Dong; Shanshan Wang 002 (CDMRI@MICCAI, 2024)

CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-Assisted Implicit Neural Representation Learning. - Ruoyou Wu; Jian Cheng 001; Cheng Li 008; Juan Zou; Jing Yang; Wenxin Fan; Yong Liang; Shanshan Wang 002 (MLMI@MICCAI (1), 2024)

Accurate Delineation of Cerebrovascular Structures from TOF-MRA with Connectivity-Reinforced Deep Learning. - Shoujun Yu; Cheng Li 008; Yousuf Babiker M. Osman; Shanshan Wang 002; Hairong Zheng (MLMI@MICCAI (1), 2024)

Model-based federated learning for accurate MR image reconstruction from undersampled k-space data. - Ruoyou Wu; Cheng Li 008; Juan Zou; Yong Liang; Shanshan Wang 002 (Comput. Biol. Medicine, 2024)

Multimodal self-supervised learning for lesion localization. - Hao Yang 026; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Jiarun Liu; Yong Liang; Shanshan Wang 002 (CoRR, 2024)

Enhancing the medical foundation model with multi-scale and cross-modality feature learning. - Weijian Huang; Cheng Li 008; Hong-Yu Zhou; Jiarun Liu; Hao Yang 026; Yong Liang; Shanshan Wang 002 (CoRR, 2024)

MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning. - Jiarun Liu; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Hao Yang 026; Yong Liang; Shanshan Wang 002 (CoRR, 2024)

LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation. - Alou Diakite; Cheng Li 008; Lei Xie 001; Yuanjing Feng; Hua Han; Shanshan Wang 002 (CoRR, 2024)

Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging. - Jing Yang; Jian Cheng 001; Cheng Li 008; Wenxin Fan; Juan Zou; Ruoyou Wu; Shanshan Wang 002 (CoRR, 2024)

Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation. - Hua Han; Cheng Li 008; Lei Xie 001; Yuanjing Feng; Alou Diakite; Shanshan Wang 002 (CoRR, 2024)

AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning. - Wenxin Fan; Jian Cheng 001; Cheng Li 008; Xinrui Ma; Jing Yang; Juan Zou; Ruoyou Wu; Qiegen Liu; Shanshan Wang 002 (CoRR, 2024)

Generalizable vision-language pre-training for annotation-free pathology localization. - Hao Yang 026; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Jiarun Liu; Shanshan Wang 002 (CoRR, 2024)

Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement. - Cheng Li 008; Weijian Huang; Hao Yang 026; Jiarun Liu; Shanshan Wang 002 (CoRR, 2024)

DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging. - Wenxin Fan; Jian Cheng 001; Cheng Li 008; Xinrui Ma; Jing Yang; Juan Zou; Ruoyou Wu; Zan Chen; Yuanjing Feng; Hairong Zheng; Shanshan Wang 002 (CoRR, 2024)

Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement. - Weijian Huang; Cheng Li 008; Hao Yang; Jiarun Liu; Yong Liang; Hairong Zheng; Shanshan Wang (Medical Image Anal., 2024)

Self-Supervised Federated Learning for Fast MR Imaging. - Juan Zou; Tingrui Pei; Cheng Li 008; Ruoyou Wu; Shanshan Wang 002 (IEEE Trans. Instrum. Meas., 2024)

Automating vessel segmentation in the heart and brain: A trend to develop multi-modality and label-efficient deep learning techniques. - Nazik Elsayed; Yousuf Babiker M. Osman; Cheng Li 008; Jiarun Liu; Weixin Si; Jiong Zhang; Shanshan Wang 002 (Biomed. Signal Process. Control., 2025)

Generalizable Reconstruction for Accelerating MR Imaging via Federated Learning With Neural Architecture Search. - Ruoyou Wu; Cheng Li 008; Juan Zou; Xinfeng Liu; Hairong Zheng; Shanshan Wang 002 (IEEE Trans. Medical Imaging, 2025)

Cross-Sequence Semi-Supervised Learning for Multi-Parametric MRI-Based Visual Pathway Delineation. - Alou Diakite; Cheng Li 008; Lei Xie 001; Yuanjing Feng; Ruoyou Wu; Jianzhong He; Hairong Zheng; Shanshan Wang 002 (CoRR, 2025)

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging. - Xuanru Zhou; Jiarun Liu; Shoujun Yu; Hao Yang; Cheng Li 008; Tao Tan; Shanshan Wang (CoRR, 2025)

Dual-Uncertainty Guided Multimodal MRI-Based Visual Pathway Extraction. - Alou Diakite; Cheng Li 008; Yousuf Babiker M. Osman; Zan Chen; Yiang Pan; Jiawei Zhang; Tao Tan 002; Hairong Zheng; Shanshan Wang 002 (IEEE Trans. Biomed. Eng., 2025)