Cheng Li

Orcid: 0000-0001-5400-2093

Affiliations:
  • 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 42 papers between 2018 and 2024.

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Timeline

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Bibliography

2024
Self-Supervised Federated Learning for Fast MR Imaging.
IEEE Trans. Instrum. Meas., 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

Few-shot Class-incremental Learning for Cross-domain Disease Classification.
CoRR, 2023

MGA: Medical generalist agent through text-guided knowledge transformation.
CoRR, 2023

Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI.
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

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
Iterative Data Refinement for Self-Supervised MR Image Reconstruction.
CoRR, 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

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-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework.
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

Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation.
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
AIDE: Annotation-efficient deep learning for automatic medical image segmentation.
CoRR, 2020

A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint.
CoRR, 2020

Laplacian pyramid-based complex neural network learning for fast MR imaging.
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

Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features.
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

AUNet: Breast Mass Segmentation of Whole Mammograms.
CoRR, 2018

Classifying Mammographic Breast Density by Residual Learning.
CoRR, 2018


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