2024
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations.
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IEEE Trans. Medical Imaging, June, 2024
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning.
CoRR, 2024
MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment.
CoRR, 2024
Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.
CoRR, 2024
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.
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Medical Image Anal., August, 2023
Context Label Learning: Improving Background Class Representations in Semantic Segmentation.
IEEE Trans. Medical Imaging, June, 2023
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation.
IEEE Trans. Medical Imaging, April, 2023
Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior.
Medical Image Anal., 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images.
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CoRR, 2023
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation.
CoRR, 2023
Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs.
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CoRR, 2023
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Self-Supervised Learning for Few-Shot Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.
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Medical Image Anal., 2022
Enhancing MR image segmentation with realistic adversarial data augmentation.
Medical Image Anal., 2022
The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion).
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CoRR, 2022
Embedding Gradient-Based Optimization in Image Registration Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022
Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.
CoRR, 2021
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction.
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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
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
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CoRR, 2020
Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction.
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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Realistic Adversarial Data Augmentation for MR Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation.
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Deep learning for cardiac image segmentation: A review.
CoRR, 2019
Improving the generalizability of convolutional neural network-based segmentation on CMR images.
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CoRR, 2019
Automatic Cardiothoracic Ratio Calculation With Deep Learning.
IEEE Access, 2019
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Multi-task Learning for Left Atrial Segmentation on GE-MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018