Cover Image

Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Weijian, Li, Cheng, Zhou, Hong-Yu, Yang, Hao, Liu, Jiarun, Liang, Yong, Zheng, Hairong, Zhang, Shaoting, Wang, Shanshan
Format:	Preprint
Published:	2023
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

Enhancing Representation in Medical Vision-Language Foundation Models via Multi-Scale Information Extraction Techniques
by: Huang, Weijian, et al.
Published: (2024)

MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning
by: Liu, Jiarun, et al.
Published: (2024)

Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement
by: Huang, Weijian, et al.
Published: (2024)

Multimodal self-supervised learning for lesion localization
by: Yang, Hao, et al.
Published: (2024)

BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis
by: Liu, Jiarun, et al.
Published: (2025)

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
by: Liu, Jiarun, et al.
Published: (2024)

Bias-constrained multimodal intelligence for equitable and reliable clinical AI
by: Li, Cheng, et al.
Published: (2026)

A multi-modal vision-language model for generalizable annotation-free pathology localization
by: Yang, Hao, et al.
Published: (2024)

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction
by: Song, Dongning, et al.
Published: (2024)

Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation
by: Zhou, Xuanru, et al.
Published: (2025)

A Generative Foundation Model for Chest Radiography
by: Ji, Yuanfeng, et al.
Published: (2025)

SamRobNODDI: Q-Space Sampling-Augmented Continuous Representation Learning for Robust and Generalized NODDI
by: Xiao, Taohui, et al.
Published: (2024)

Standardised Request and Contrast Consent Forms to Enhance Clinical Learning in Radiography Education
by: Don J. Nocum, et al.
Published: (2025)

A Multi-Task Foundation Model for Wireless Channel Representation Using Contrastive and Masked Autoencoder Learning
by: Guler, Berkay, et al.
Published: (2025)

Enhancing Multimodal Emotion Recognition through Multi-Granularity Cross-Modal Alignment
by: Wang, Xuechen, et al.
Published: (2024)

Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment
by: Wu, Haoyuan, et al.
Published: (2025)

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging
by: Zhou, Xuanru, et al.
Published: (2025)

Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data
by: Queiroz, Dilermando, et al.
Published: (2024)

CoMET: A Contrastive-Masked Brain Foundation Model for Universal EEG Representation
by: Li, Ang, et al.
Published: (2025)

Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models
by: Lian, Chenyu, et al.
Published: (2025)

Revisiting Multi-Granularity Representation via Group Contrastive Learning for Unsupervised Vehicle Re-identification
by: Chang, Zhigang, et al.
Published: (2024)

AudioMosaic: Contrastive Masked Audio Representation Learning
by: Huang, Hanxun, et al.
Published: (2026)

Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment
by: Jiang, Yankai, et al.
Published: (2024)

Material Point Method Modeling of Granular Flow Considering Phase Transition From Solid‐Like to Fluid‐Like States
by: Hang Feng, et al.
Published: (2025)

MoralCLIP: Contrastive Alignment of Vision-and-Language Representations with Moral Foundations Theory
by: Condez, Ana Carolina, et al.
Published: (2025)

Learning Anatomically Consistent Embedding for Chest Radiography
by: Zhou, Ziyu, et al.
Published: (2023)

Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback
by: Kim, Kyuyoung, et al.
Published: (2024)

Diff-DTI: Fast Diffusion Tensor Imaging Using A Feature-Enhanced Joint Diffusion Model
by: Zhang, Lang, et al.
Published: (2024)

Enhancing Peak Assignment in 13C NMR Spectroscopy: A Novel Approach Using Multimodal Alignment
by: Xu, Hao, et al.
Published: (2023)

One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation
by: Yang, Xiaoyu, et al.
Published: (2024)

Radiography Open
Published: (2018)

Random Direct Preference Optimization for Radiography Report Generation
by: Samokhin, Valentin, et al.
Published: (2025)

Representation Alignment Contrastive Regularization for Multi-Object Tracking
by: Liu, Zhonglin, et al.
Published: (2024)

G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
by: Liu, Che, et al.
Published: (2023)

Masked Contrastive Reconstruction for Cross-modal Medical Image-Report Retrieval
by: Wei, Zeqiang, et al.
Published: (2023)

Enhancing Representation Learning of EEG Data with Masked Autoencoders
by: Zhou, Yifei, et al.
Published: (2024)

Hierarchical Fusion and Joint Aggregation: A Multi-Level Feature Representation Method for AIGC Image Quality Assessment
by: Meng, Linghe, et al.
Published: (2025)

A Case Report of Granular Cell Tumor of the Left Mandibular Canal
by: Xing‐Hong Zhou, et al.
Published: (2024)

Context-Enhanced Granular Edit Representation for Efficient and Accurate ASR Post-editing
by: Vejsiu, Luan, et al.
Published: (2025)

Myna: Masking-Based Contrastive Learning of Musical Representations
by: Yonay, Ori, et al.
Published: (2025)