Cheng Li
Orcid: 0000-0001-5400-2093Affiliations:
- Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Paul C. Lauterbur Research Center for Biomedical Imaging, China
According to our database1,
Cheng Li
authored at least 70 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Generalizable Reconstruction for Accelerating MR Imaging via Federated Learning With Neural Architecture Search.
IEEE Trans. Medical Imaging, January, 2025
2024
IEEE Trans. Instrum. Meas., 2024
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement.
Medical Image Anal., 2024
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-preserving Model-based Deep Learning.
CoRR, 2024
RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation.
CoRR, 2024
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging.
CoRR, 2024
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement.
CoRR, 2024
Generalizable vision-language pre-training for annotation-free pathology localization.
CoRR, 2024
AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning.
CoRR, 2024
CoRR, 2024
Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging.
CoRR, 2024
LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation.
CoRR, 2024
CoRR, 2024
Enhancing the medical foundation model with multi-scale and cross-modality feature learning.
CoRR, 2024
Model-based federated learning for accurate MR image reconstruction from undersampled k-space data.
Comput. Biol. Medicine, 2024
Accurate Delineation of Cerebrovascular Structures from TOF-MRA with Connectivity-Reinforced Deep Learning.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-Assisted Implicit Neural Representation Learning.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Simultaneous Q-Space Sampling Optimization and Reconstruction for Fast and High-Fidelity Diffusion Magnetic Resonance Imaging.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Lesen: Label-Efficient Deep Learning for Multi-Parametric Mri-Based Visual Pathway Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading.
Biomed. Signal Process. Control., August, 2023
PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
CoRR, 2023
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation.
CoRR, 2022
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging.
CoRR, 2022
Rethinking the optimization process for self-supervised model-driven MRI reconstruction.
CoRR, 2022
PARCEL: Physics-based unsupervised contrastive representation learning for parallel MR imaging.
CoRR, 2022
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading.
CoRR, 2022
Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosis.
Comput. Biol. Medicine, 2022
Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers.
BMC Bioinform., 2022
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022
2021
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint.
IEEE Trans. Medical Imaging, 2021
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study.
CoRR, 2021
Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification.
Biomed. Signal Process. Control., 2021
Multi-label ocular disease classification with a dense correlation deep neural network.
Biomed. Signal Process. Control., 2021
Self-supervised Learning for MRI Reconstruction with a Parallel Network Training Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
CoRR, 2020
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint.
CoRR, 2020
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Classification of Ocular Diseases Employing Attention-Based Unilateral and Bilateral Feature Weighting and Fusion.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
A Deep Residual Sparse and Cross Domain Reconstruction Network for Dynamic MR Imaging.
Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020
2019
Anti-Drift in Electronic Nose via Dimensionality Reduction: A Discriminative Subspace Projection Approach.
IEEE Access, 2019
CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
2018
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.
IEEE Trans. Biomed. Eng., 2018