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Cardiac Segmentation

Papers

Showing 2650 of 88 papers

TitleStatusHype
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability0
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels0
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts0
Self-Supervised Pretraining for 2D Medical Image SegmentationCode1
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method0
ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac SegmentationCode1
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation0
Test-Time Adaptation with Shape Moments for Image SegmentationCode1
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information MaximizationCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
Automatic Segmentation of Left Ventricle in Cardiac Magnetic Resonance Images0
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition CharacteristicsCode0
MISSFormer: An Effective Medical Image Segmentation TransformerCode1
Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks0
Enhancing MR Image Segmentation with Realistic Adversarial Data AugmentationCode1
Source-Free Domain Adaptation for Image SegmentationCode1
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation0
Trilateral Attention Network for Real-time Medical Image Segmentation0
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions0
Swin-Unet: Unet-like Pure Transformer for Medical Image SegmentationCode1
Efficient Model Monitoring for Quality Control in Cardiac Image SegmentationCode0
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image SegmentationCode1
TransUNet: Transformers Make Strong Encoders for Medical Image SegmentationCode2
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac SegmentationCode1
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