Lianming Wu
Orcid: 0000-0001-7381-5436
According to our database1,
Lianming Wu authored at least 27 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
Toward Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge.
IEEE Trans. Medical Imaging, May, 2026
Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation.
IEEE Trans. Medical Imaging, May, 2026
HorusEye: a self-supervised foundation model for generalizable X-ray tomography restoration.
Nat. Comput. Sci., April, 2026
MACE Risk Prediction in ARVC Patients via CMR: A Three-Tier Spatiotemporal Transformer With Pericardial Adipose Tissue Embedding.
IEEE Trans. Medical Imaging, March, 2026
Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis.
IEEE J. Biomed. Health Informatics, February, 2026
Pattern Recognit., 2026
U2AD: Uncertainty-based unsupervised anomaly detection framework for detecting T2 hyperintensity in MRI spinal cord.
Medical Image Anal., 2026
Medical Image Anal., 2026
Segmentation of the right ventricular myocardial infarction in multi-centre cardiac magnetic resonance images.
Medical Image Anal., 2026
Incorporating modality-specific intensity prior as text prompt for multimodal myocardial pathology segmentation.
Medical Image Anal., 2026
2025
IEEE Trans. Medical Imaging, December, 2025
Enabling Ultra-Fast Cardiovascular Imaging Across Heterogeneous Clinical Environments with a Generalist Foundation Model and Multimodal Database.
CoRR, December, 2025
Segmentation of the Left Ventricle and Its Pathologies for Acute Myocardial Infarction After Reperfusion in LGE-CMR Images.
IEEE Trans. Medical Imaging, November, 2025
CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs.
CoRR, July, 2025
IEEE Trans. Image Process., 2025
The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023.
Medical Image Anal., 2025
Dynamic mask stitching-guided region consistency for semi-supervised 3D medical image segmentation.
Expert Syst. Appl., 2025
A multimodal deep learning framework for automated major adverse cardiovascular events prediction in patients with end-stage renal disease integrating clinical and cardiac MRI data.
Displays, 2025
Multimodal Imputation of Imaging-Derived Phenotypes from Genomic and Blood-Based Biomarkers Enhances Common Disease Discovery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
2024
Toward Accurate Cardiac MRI Segmentation With Variational Autoencoder-Based Unsupervised Domain Adaptation.
IEEE Trans. Medical Imaging, August, 2024
Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation.
Medical Image Anal., 2024
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.
CoRR, 2024
Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy.
CoRR, 2024
Analysis of the Discriminability of Three Types of CMR Image Features for Cardiomyopathy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Segmentation of Pericardial Adipose Tissue in CMR Images: A Benchmark Dataset MRPEAT and a Triple-Stage Network 3SUnet.
IEEE Trans. Medical Imaging, 2023
2017
Myocardium Segmentation From DE MRI Using Multicomponent Gaussian Mixture Model and Coupled Level Set.
IEEE Trans. Biomed. Eng., 2017
2014
Myocardium segmentation combining T2 and DE MRI using Multi-Component Bivariate Gaussian mixture model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014