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Cardiac Segmentation

Papers

Showing 125 of 88 papers

TitleStatusHype
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image SegmentationCode4
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image SegmentationCode4
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image SegmentationCode4
TransUNet: Transformers Make Strong Encoders for Medical Image SegmentationCode2
Test-Time Adaptation with Shape Moments for Image SegmentationCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information MaximizationCode1
NISF: Neural Implicit Segmentation FunctionsCode1
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without AnnotationCode1
Self-Supervised Pretraining for 2D Medical Image SegmentationCode1
Source-Free Domain Adaptation for Image SegmentationCode1
Swin-Unet: Unet-like Pure Transformer for Medical Image SegmentationCode1
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image SegmentationCode1
Towards Robust Cardiac Segmentation using Graph Convolutional NetworksCode1
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
Disentangled Representations for Domain-generalized Cardiac SegmentationCode1
Cardiac Segmentation with Strong Anatomical GuaranteesCode1
Learning Directional Feature Maps for Cardiac MRI SegmentationCode1
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image SegmentationCode1
MISSFormer: An Effective Medical Image Segmentation TransformerCode1
Cardiac MRI Segmentation with Strong Anatomical GuaranteesCode1
CAMS: Convolution and Attention-Free Mamba-based Cardiac Image SegmentationCode1
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac SegmentationCode1
ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac SegmentationCode1
Enhancing MR Image Segmentation with Realistic Adversarial Data AugmentationCode1
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