Cover Image

Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Mingjian, Meng, Mingyuan, Ye, Shuchang, Fulham, Michael, Bi, Lei, Kim, Jinman
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention
by: Meng, Mingyuan, et al.
Published: (2024)

SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance
by: Ye, Shuchang, et al.
Published: (2024)

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation
by: Ye, Shuchang, et al.
Published: (2025)

AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration
by: Meng, Mingyuan, et al.
Published: (2023)

Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions
by: Bi, Lei, et al.
Published: (2024)

Enhancing medical vision-language contrastive learning via inter-matching relation modelling
by: Li, Mingjian, et al.
Published: (2024)

MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction
by: Zhang, Andrew, et al.
Published: (2025)

Dynamic Traceback Learning for Medical Report Generation
by: Ye, Shuchang, et al.
Published: (2024)

AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images
by: Meng, Mingyuan, et al.
Published: (2023)

MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering
by: Ye, Shuchang, et al.
Published: (2025)

Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration
by: Meng, Mingyuan, et al.
Published: (2024)

RadGenome-Anatomy: A Large-Scale Anatomy-Labeled Chest Radiograph Dataset via Physically Grounded Volumetric Projection
by: Ye, Shuchang, et al.
Published: (2026)

SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Models
by: Tu, Mingxiao, et al.
Published: (2025)

PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network
by: Xue, Yuxin, et al.
Published: (2023)

A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
by: Wang, Wei-Chien, et al.
Published: (2023)

HyperWalker: Dynamic Hypergraph-Based Deep Diagnosis for Multi-Hop Clinical Modeling across EHR and X-Ray in Medical VLMs
by: Yang, Yuezhe, et al.
Published: (2026)

Cross-Modal Conditioned Reconstruction for Language-guided Medical Image Segmentation
by: Huang, Xiaoshuang, et al.
Published: (2024)

Spatial-aware Symmetric Alignment for Text-guided Medical Image Segmentation
by: Liao, Linglin, et al.
Published: (2025)

Frequency-domain Multi-modal Fusion for Language-guided Medical Image Segmentation
by: Yu, Bo, et al.
Published: (2025)

A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images
by: Wang, Hao, et al.
Published: (2023)

Intersectional Fairness in Vision-Language Models for Medical Image Disease Classification
by: Zhang, Yupeng, et al.
Published: (2025)

3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks
by: Li, Xiaoshuang, et al.
Published: (2024)

Beyond Calibration: Confounding Pathology Limits Foundation Model Specificity in Abdominal Trauma CT
by: Raythatha, Jineel H, et al.
Published: (2026)

Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training
by: Zeng, Shuang, et al.
Published: (2023)

Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
by: Wang, You, et al.
Published: (2025)

Toward Next-generation Medical Vision Backbones: Modeling Finer-grained Long-range Visual Dependency
by: Meng, Mingyuan
Published: (2025)

Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation
by: Chen, Ziyang, et al.
Published: (2024)

Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
by: Wang, Jiayi, et al.
Published: (2025)

Pixel-level Counterfactual Contrastive Learning for Medical Image Segmentation
by: Lafargue-Hauret, Marceau, et al.
Published: (2026)

SMC-NCA: Semantic-guided Multi-level Contrast for Semi-supervised Temporal Action Segmentation
by: Zhou, Feixiang, et al.
Published: (2023)

Dual-Alignment Knowledge Retention for Continual Medical Image Segmentation
by: Ye, Yuxin, et al.
Published: (2025)

Self-Supervised Alignment Learning for Medical Image Segmentation
by: Li, Haofeng, et al.
Published: (2024)

Labeled-to-Unlabeled Distribution Alignment for Partially-Supervised Multi-Organ Medical Image Segmentation
by: Jiang, Xixi, et al.
Published: (2024)

PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation
by: Lei, Yu, et al.
Published: (2024)

Adversarial Versus Federated: An Adversarial Learning based Multi-Modality Cross-Domain Federated Medical Segmentation
by: Zhou, You, et al.
Published: (2025)

Parallax-tolerant Image Stitching via Segmentation-guided Multi-homography Warping
by: Liao, Tianli, et al.
Published: (2024)

Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
by: Meng, Dongdong, et al.
Published: (2025)

3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction
by: Li, Xiaoshuang, et al.
Published: (2024)

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation
by: Zeng, Dewen, et al.
Published: (2025)

SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
by: Zheng, Fuchen, et al.
Published: (2024)