Image Segmentation
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Pancreas CT Segmentation by Predictive Phenotyping
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth
Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
Convolution-Free Medical Image Segmentation using Transformer Networks
Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks
A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
Automatic Polyp Segmentation via Multi-scale Subtraction Network
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance
Progressively Normalized Self-Attention Network for Video Polyp Segmentation
SGNet: Structure-aware Graph-based Network for Airway Semantic Segmentation
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions
Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
Boundary-aware Transformers for Skin Lesion Segmentation
A Topological-Attention ConvLSTM Network and Its Application to EM Images
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation
Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation
Partial-supervised Learning for Vessel Segmentation in Ocular Images
Unsupervised Network Learning for Cell Segmentation
MT-UDA: Towards Unsupervised Cross-Modality Medical Image Segmentation with Limited Source Labels
Context-aware virtual adversarial training for anatomically-plausible segmentation
Interactive segmentation via deep learning and B-spline explicit active surfaces
Multi-Compound Transformer for Accurate Biomedical Image Segmentation
kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation
Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography
Coarse-to-fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy
Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-branch Multi-scale Attention Network
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation
Comprehensive Importance-based Selective Regularization for Continual Segmentation Across Multiple Sites
ReSGAN: Intracranial Hemorrhage Segmentation with Residuals of Synthetic Brain CT Scans
Refined Local-imbalance-based Weight for Airway Segmentation in CT
Selective Learning from External Data for CT Image Segmentation
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT
MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures
Style Curriculum Learning for Robust Medical Image Segmentation
Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition
Residual Feedback Network for Breast Lesion Segmentation in Ultrasound Image
Learning to Address Intra-segment Misclassification in Retinal Imaging
Flip Learning: Erase to Segment
DC-Net: Dual Context Network for 2D Medical Image Segmentation
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation
A hybrid attention ensemble framework for zonal prostate segmentation
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation
HRENet: A Hard Region Enhancement Network for Polyp Segmentation
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images
TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
Hybrid graph convolutional neural networks for anatomical segmentation
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation
CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection
Distilling effective supervision for robust medical image segmentation with noisy labels
On the relationship between calibrated predictors and unbiased volume estimation
High-resolution segmentation of lumbar vertebrae from conventional thick slice MRI
Shallow Attention Network for Polyp Segmentation
A Line to Align: Deep Dynamic Time Warping for Retinal OCT Segmentation
Learnable Oriented-Derivative Network for Polyp Segmentation
LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images.