Co-occurring keywords · papers mentioning both
Papers
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation
ICCV 2023
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
IJCAI 2023
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation
AAAI 2023
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans
ICCV 2023
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
IJCAI 2023
Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization
CVPR 2023
Directional Connectivity-Based Segmentation of Medical Images
CVPR 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation
CVPR 2023
Federated Cross Learning for Medical Image Segmentation
MIDL 2023
Few-Shot Medical Image Segmentation With Cycle-Resemblance Attention
WACV 2023
Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints
MIDL 2023
HiFormer: Hierarchical Multi-Scale Representations Using Transformers for Medical Image Segmentation
WACV 2023
Joint Self-Supervised Image-Volume Representation Learning with Intra-inter Contrastive Clustering
AAAI 2023
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
NeurIPS 2023
Label-Free Liver Tumor Segmentation
CVPR 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach
ICLR 2023
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery
CVPR 2023
MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation
CVPR 2023
Medical Image Segmentation via Cascaded Attention Decoding
WACV 2023
MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation
MIDL 2023
Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling
CVPR 2023
On-the-Fly Test-time Adaptation for Medical Image Segmentation
MIDL 2023
Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation
CVPR 2023
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation
ICCV 2023
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation
CVPR 2023