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Cardiac Segmentation

Papers

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Showing 1–50 of 88 papers

TitleStatusHype
Innovative Integration of 4D Cardiovascular Reconstruction and Hologram: A New Visualization Tool for Coronary Artery Bypass Grafting Planning—0
DAM-Seg: Anatomically accurate cardiac segmentation using Dense Associative Networks—0
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image SegmentationCode0
Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation—0
SFB-net for cardiac segmentation: Bridging the semantic gap with attention—0
RotCAtt-TransUNet++: Novel Deep Neural Network for Sophisticated Cardiac SegmentationCode0
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation—0
ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation—0
CAMS: Convolution and Attention-Free Mamba-based Cardiac Image SegmentationCode1
Direct Cardiac Segmentation from Undersampled K-space Using TransformersCode0
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image SegmentationCode1
Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRICode0
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image SegmentationCode4
TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction—0
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image SegmentationCode4
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image SegmentationCode4
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation—0
CaRe-CNN: Cascading Refinement CNN for Myocardial Infarct Segmentation with Microvascular Obstructions—0
SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects—0
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation—0
Towards Robust Cardiac Segmentation using Graph Convolutional NetworksCode1
NISF: Neural Implicit Segmentation FunctionsCode1
AC-Norm: Effective Tuning for Medical Image Analysis via Affine Collaborative NormalizationCode0
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation—0
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationCode1
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability—0
Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels—0
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts—0
Self-Supervised Pretraining for 2D Medical Image SegmentationCode1
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method—0
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 Segmentation—0
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 Images—0
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 Frameworks—0
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 Optimisation—0
Trilateral Attention Network for Real-time Medical Image Segmentation—0
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
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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