Lianming Wu

Orcid: 0000-0001-7381-5436

According to our database1, Lianming Wu authored at least 27 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

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

Prompt-guided Modality Completion for cardiac pathology segmentation.
Pattern Recognit., 2026

U2AD: Uncertainty-based unsupervised anomaly detection framework for detecting T2 hyperintensity in MRI spinal cord.
Medical Image Anal., 2026

Unsupervised anomaly detection in brain MRI via disentangled anatomy learning.
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
CineMyoPS: Segmenting Myocardial Pathologies From Cine Cardiac MR.
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

A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image Segmentation.
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


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