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20172024
most citedDeep learning for cardiac image segmentation: A review

870 citations · 1k across the 29 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

eess.IV2022★ 13 cited

The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion)

Shuo Wang, Chen Qin, Chengyan Wang +12

The quality of cardiac magnetic resonance (CMR) imaging is susceptible to respiratory motion artifacts. The model robustness of automated segmentation techniques in face of real-wo…

eess.IV2022★ 4 cited

Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance

Chen Qin, Daniel Rueckert

Artificial intelligence (AI) and Machine Learning (ML) have shown great potential in improving the medical imaging workflow, from image acquisition and reconstruction to disease di…

eess.IV2022★ 1 cited

MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI

Qingjie Meng, Chen Qin, Wenjia Bai +4

Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR) imaging enables the assessment of regional myocardial function and is important for understanding a…

eess.IV2022

Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior

Chen Qin, Shuo Wang, Chen Chen +2

Myocardial motion and deformation are rich descriptors that characterize cardiac function. Image registration, as the most commonly used technique for myocardial motion tracking, i…

eess.IV2022

Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification

Tian Xia, Pedro Sanchez, Chen Qin +1

Due to the limited availability of medical data, deep learning approaches for medical image analysis tend to generalise poorly to unseen data. Augmenting data during training with…