Co-occurring keywords · papers mentioning both
Papers
DuPLUS: Dual-Prompt Vision-Language Model for Universal Medical Image Segmentation and Prognosis
WACV 2026
E³SAM2: Entropy-Aware and Edge-Guided Adaptation of SAM2 for Echocardiography Video Segmentation
AAAI 2026
EccoMamba: Enhanced Cross-hierarchical Continuity Orthogonal Mamba for Medical Image Segmentation
AAAI 2026
ECT-3DMedSAM: Efficient Cross Teaching Using Segment Anything Model for Semi-Supervised 3D Medical Image Segmentation
MIDL 2026
Energy-guided Dual Domain-invariant Prompting Framework with Fourier Regularization for Generalized Few-Shot Medical Segmentation
AAAI 2026
Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaptation of Medical Image Segmentation
MIDL 2026
Exploring Entropy-based Active Learning for Fair Brain Segmentation
MIDL 2026
FairVLM: Enhancing Fairness and Prompt Sensitivity in Vision Language Models for Medical Image Segmentation
WACV 2026
FLoMo-Net: A Novel Task-Adaptive Mixture of Experts Routing Framework with Frequency and Uncertainty Correction for Medical Image Segmentation
WACV 2026
Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting
CVPR 2026
From Infusion to Assimilation Distillation for Medical Image Segmentation
CVPR 2026
Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation
MIDL 2026
Geometric Correspondence Constrained Pseudo-Label Alignment for Source-Free Domain Adaptive Fundus Image Segmentation
AAAI 2026
GeoSemba: Reconstructing State Space Model for Cross Paradigm Representation in Medical Image Segmentation
CVPR 2026
Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation
CVPR 2026
HiMix : Hierarchical Visual-Textual Mixing Network for Lesion Segmentation
WACV 2026
Hymavi : A Hybrid Mamba-Attention Network in Multi-View Framework for Volumetric Medical Image Segmentation
WACV 2026
Hyperbolic U-Net for Robust Medical Image Segmentation
MIDL 2026
Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?
MIDL 2026
Keep It Frozen: Domain-Routed Conditional Residual Modulation for Multi-Domain Vision Transformers
CVPR 2026
Learning Robust Medical Image Segmentation with Inductive Bias
MIDL 2026
Make Foundation Models Trustworthy Again: Causal Fine-Adaptation for Medical Image Segmentation
AAAI 2026
MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation
CVPR 2026
Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits?
AAAI 2026
MedKamba: A Novel Approach Integrating State-Space Models and Fractional Kolmogorov–Arnold Networks for Medical Image Segmentation
MIDL 2026