Cover Image

RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Zhixiu, Li, Hailong, Parikh, Nehal A., Dillman, Jonathan R., He, Lili
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment
by: Li, Zhiyuan, et al.
Published: (2023)

Ultrasound-CLIP: Semantic-Aware Contrastive Pre-training for Ultrasound Image-Text Understanding
by: Jin, Jiayun, et al.
Published: (2026)

Mammo-CLIP: Leveraging Contrastive Language-Image Pre-training (CLIP) for Enhanced Breast Cancer Diagnosis with Multi-view Mammography
by: Chen, Xuxin, et al.
Published: (2024)

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays
by: Yi, Chenlang, et al.
Published: (2025)

OmniRad: A Radiological Foundation Model for Multi-Task Medical Image Analysis
by: Zedda, Luca, et al.
Published: (2026)

Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training
by: Wang, Haicheng, et al.
Published: (2024)

A Closer Look at the Explainability of Contrastive Language-Image Pre-training
by: Li, Yi, et al.
Published: (2023)

ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model
by: Chen, Yifan, et al.
Published: (2024)

A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
by: Tu, Weijie, et al.
Published: (2024)

Unified Medical Image Pre-training in Language-Guided Common Semantic Space
by: He, Xiaoxuan, et al.
Published: (2023)

RadDiff: Describing Differences in Radiology Image Sets with Natural Language
by: Shen, Xiaoxian, et al.
Published: (2026)

SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training
by: Zeng, Shuang, et al.
Published: (2025)

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology
by: Li, Wenxuan, et al.
Published: (2026)

RegionMed-CLIP: A Region-Aware Multimodal Contrastive Learning Pre-trained Model for Medical Image Understanding
by: Fang, Tianchen, et al.
Published: (2025)

Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training
by: Gao, Yipeng, et al.
Published: (2023)

RET-CLIP: A Retinal Image Foundation Model Pre-trained with Clinical Diagnostic Reports
by: Du, Jiawei, et al.
Published: (2024)

RadPhi-3: Small Language Models for Radiology
by: Ranjit, Mercy, et al.
Published: (2024)

DreamLIP: Language-Image Pre-training with Long Captions
by: Zheng, Kecheng, et al.
Published: (2024)

RadVLM: A Multitask Conversational Vision-Language Model for Radiology
by: Deperrois, Nicolas, et al.
Published: (2025)

A Generative Adversarial Approach to Adversarial Attacks Guided by Contrastive Language-Image Pre-trained Model
by: Soor, Sampriti, et al.
Published: (2025)

Contrastive Language Video Time Pre-training
by: Liu, Hengyue, et al.
Published: (2024)

MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training
by: Zhu, Lei, et al.
Published: (2025)

RadGame: An AI-Powered Platform for Radiology Education
by: Baharoon, Mohammed, et al.
Published: (2025)

CytoCLIP: Learning Cytoarchitectural Characteristics in Developing Human Brain Using Contrastive Language Image Pre-Training
by: Ta, Pralaypati, et al.
Published: (2026)

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

Towards Scalable Language-Image Pre-training for 3D Medical Imaging
by: Zhao, Chenhui, et al.
Published: (2025)

PowerCLIP: Powerset Alignment for Contrastive Pre-Training
by: Kawamura, Masaki, et al.
Published: (2025)

CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions
by: Huang, Yuchen, et al.
Published: (2025)

D4C: Data-Free Quantization for Contrastive Language-Image Pre-training Models
by: Zhang, Wenlun, et al.
Published: (2025)

Contrastive Localized Language-Image Pre-Training
by: Chen, Hong-You, et al.
Published: (2024)

PLIP: Language-Image Pre-training for Person Representation Learning
by: Zuo, Jialong, et al.
Published: (2023)

Let ViT Speak: Generative Language-Image Pre-training
by: Fang, Yan, et al.
Published: (2026)

LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
by: Wu, Wei, et al.
Published: (2024)

RadFabric: Agentic AI System with Reasoning Capability for Radiology
by: Chen, Wenting, et al.
Published: (2025)

MIMIC: Mask Image Pre-training with Mix Contrastive Fine-tuning for Facial Expression Recognition
by: Zhang, Fan, et al.
Published: (2024)

Universal Image Restoration Pre-training via Degradation Classification
by: Hu, JiaKui, et al.
Published: (2025)

Image-to-Image Translation with Diffusion Transformers and CLIP-Based Image Conditioning
by: Zhu, Qiang, et al.
Published: (2025)

Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography
by: Du, Yuexi, et al.
Published: (2024)

Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training
by: Lei, Xingliang, et al.
Published: (2024)

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
by: Gu, Difei, et al.
Published: (2025)