segmentation

Multimodal Causality-Driven Representation Learning for Generalizable Medical Image Segmentation CVPR 2026 ConText: Driving In-context Learning for Text Removal and Segmentation ICML 2025 DCBM: Data-Efficient Visual Concept Bottleneck Models ICML 2025 FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks ICML 2025 Optimizing Segmentation of Neonatal Brain MRIs with Partially Annotated Multi-Label Data MLHC 2025 Pixel-level Certified Explanations via Randomized Smoothing ICML 2025 RUN: Reversible Unfolding Network for Concealed Object Segmentation ICML 2025 Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation ICML 2025 TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting ICML 2025 Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing ICML 2024 Annotation-Efficient Strategy for Segmentation of 3D Body Composition MIDL 2024 AST-T5: Structure-Aware Pretraining for Code Generation and Understanding ICML 2024 Completing Visual Objects via Bridging Generation and Segmentation ICML 2024 Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images MIDL 2024 Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer’s Disease Data. MIDL 2024 Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation MIDL 2024 Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation MIDL 2024 Implicit Representations for Constrained Image Segmentation ICML 2024 Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping ICML 2024 Multimodal Image Registration Guided by Few Segmentations from One Modality MIDL 2024 Network conditioning for synergistic learning on partial annotations MIDL 2024 RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation CoRL 2024 Semi-supervised learning with Noisy Students improves domain generalization in optic disc and cup segmentation in uncropped fundus images MIDL 2024 Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency ECCV 2024 Slide-SAM: Medical SAM Meets Sliding Window MIDL 2024