Lei Li
Orcid: 0000-0003-1281-6472Affiliations:
- University of Oxford, Institute of Biomedical Engineering, UK
- Shanghai Jiao Tong University, School of Biomedical Engineering, China (former)
- Fudan University, School of Data Science, Shanghai, China (former)
According to our database1,
Lei Li
authored at least 53 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.
IEEE Trans. Medical Imaging, July, 2024
Personalized Topology-Informed 12-Lead ECG Electrode Localization from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins.
CoRR, 2024
Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey.
CoRR, 2024
Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.
CoRR, 2024
Proceedings of the Shape in Medical Imaging - International Workshop, 2024
2023
Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation.
IEEE Trans. Medical Imaging, December, 2023
Pattern Recognit., October, 2023
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding.
Medical Image Anal., October, 2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023
AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images.
IEEE Trans. Medical Imaging, May, 2023
MyoPS-Net: Myocardial pathology segmentation with flexible combination of multi-sequence CMR images.
Medical Image Anal., 2023
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal., 2023
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.
CoRR, 2023
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior.
CoRR, 2023
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
IEEE J. Biomed. Health Informatics, 2022
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.
Medical Image Anal., 2022
AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images.
Medical Image Anal., 2022
Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review.
Medical Image Anal., 2022
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information.
Medical Image Anal., 2022
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
IEEE Trans. Medical Imaging, 2021
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition.
CoRR, 2021
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-center LGE MRIs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Medical Image Anal., 2020
A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.
Medical Image Anal., 2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.
CoRR, 2019
2018
CoRR, 2018
Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Left Atrial Segmentation Combining Multi-atlas Whole Heart Labeling and Shape-Based Atlas Selection.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
2017
Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI.
CoRR, 2017
Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017