2025

Contrast-Free Myocardial Scar Segmentation in Cine MRI using Motion and Texture Fusion.

[DOI]

Guang Yang

Jingkun Chen

CoRR, January, 2025

Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins.

[DOI]

Medical Image Anal., 2025

2024

Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.

[DOI]

IEEE Trans. Medical Imaging, July, 2024

Segment anything model for medical images?

[DOI]

Medical Image Anal., February, 2024

DeepSPV: An Interpretable Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images.

[DOI]

CoRR, 2024

Personalized Topology-Informed 12-Lead ECG Electrode Localization from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins.

[DOI]

CoRR, 2024

Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey.

[DOI]

CoRR, 2024

Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.

[DOI]

CoRR, 2024

Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution.

[DOI]

Proceedings of the Shape in Medical Imaging - International Workshop, 2024

2023

Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation.

[DOI]

IEEE Trans. Medical Imaging, December, 2023

Rethinking the unpretentious U-net for medical ultrasound image segmentation.

[DOI]

Pattern Recognit., October, 2023

Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding.

[DOI]

Medical Image Anal., October, 2023

Multi-modality cardiac image computing: A survey.

[DOI]

Medical Image Anal., August, 2023

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.

[DOI]

IEEE J. Biomed. Health Informatics, July, 2023

AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images.

[DOI]

IEEE Trans. Medical Imaging, May, 2023

MyoPS-Net: Myocardial pathology segmentation with flexible combination of multi-sequence CMR images.

[DOI]

Medical Image Anal., 2023

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.

[DOI]

Medical Image Anal., 2023

Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.

[DOI]

CoRR, 2023

Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior.

[DOI]

CoRR, 2023

Influence of Myocardial Infarction on QRS Properties: A Simulation Study.

[DOI]

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks.

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion.

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.

[DOI]

Medical Image Anal., 2022

AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images.

[DOI]

Medical Image Anal., 2022

Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: A review.

[DOI]

Medical Image Anal., 2022

AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information.

[DOI]

Medical Image Anal., 2022

NU-net: An Unpretentious Nested U-net for Breast Tumor Segmentation.

[DOI]

CoRR, 2022

Multi-Modality Cardiac Image Computing: A Survey.

[DOI]

CoRR, 2022

Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels.

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Deep Computational Model for the Inference of Ventricular Activation Properties.

[DOI]

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.

[DOI]

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.

[DOI]

IEEE Trans. Medical Imaging, 2021

Multi-Modality Cardiac Image Analysis with Deep Learning.

[DOI]

CoRR, 2021

Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition.

[DOI]

CoRR, 2021

Unsupervised MMRegNet based on Spatially Encoded Gradient Information.

[DOI]

CoRR, 2021

Multi-modality Cardiac Segmentation via Mixing Domains for Unsupervised Adaptation.

[DOI]

Fuping Wu

Lei Li

Xiahai Zhuang

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.

[DOI]

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.

[DOI]

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.

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

AttU-NET: Attention U-Net for Brain Tumor Segmentation.

[DOI]

Sihan Wang

Lei Li

Xiahai Zhuang

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Atrial scar quantification via multi-scale CNN in the graph-cuts framework.

[DOI]

Medical Image Anal., 2020

A Multi-task Approach Using Positional Information for Ultrasound Placenta Segmentation.

[DOI]

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.

[DOI]

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.

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks.

[DOI]

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.

[DOI]

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.

[DOI]

Medical Image Anal., 2019

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.

[DOI]

CoRR, 2019

2018

Atrial scars segmentation via potential learning in the graph-cuts framework.

[DOI]

CoRR, 2018

Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images.

[DOI]

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.

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Atrial Scar Segmentation via Potential Learning in the Graph-Cut Framework.

[DOI]

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.

[DOI]

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.

[DOI]

CoRR, 2017

Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI.

[DOI]