conftrace_

medical image segmentation

351 papers

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Also known as

MIS

Co-occurring keywords

semantic segmentation (3186) semi-supervised learning (2341) medical imaging (971) image segmentation (971) domain adaptation (4595) convolutional neural network (4226) self-supervised learning (3777) attention mechanism (4001) domain generalization (1522) few-shot learning (3398)

Papers

MAIS: Memory-Attention for Interactive Segmentation MIDL 2025
A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images AAAI 2025
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries AAAI 2024
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation AAAI 2024
SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture With Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation WACV 2024
Polyper: Boundary Sensitive Polyp Segmentation AAAI 2024
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement WACV 2024
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation AISTATS 2024
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation CVPR 2024
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation CVPR 2024
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation WACV 2024
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise AAAI 2024
Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting AAAI 2024
From Denoising Training To Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation WACV 2024
SynergyNet: Bridging the Gap Between Discrete and Continuous Representations for Precise Medical Image Segmentation WACV 2024
Self-Sampling Meta SAM: Enhancing Few-Shot Medical Image Segmentation With Meta-Learning WACV 2024
SPGNet: A Shape-prior Guided Network for Medical Image Segmentation IJCAI 2024
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images WACV 2024
Self-Supervised Learning With Masked Autoencoders for Teeth Segmentation From Intra-Oral 3D Scans WACV 2024
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation AAAI 2024
Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation AAAI 2024
MetaSeg: MetaFormer-Based Global Contexts-Aware Network for Efficient Semantic Segmentation WACV 2024
MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer AAAI 2024
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder IJCAI 2024
MIST: Medical Image Segmentation Transformer With Convolutional Attention Mixing (CAM) Decoder WACV 2024