Cover Image

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wan, Zhongwei, Liu, Che, Zhang, Mi, Fu, Jie, Wang, Benyou, Cheng, Sibo, Ma, Lei, Quilodrán-Casas, César, Arcucci, Rossella
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training
by: Qin, Jiuming, et al.
Published: (2024)

T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency
by: Liu, Che, et al.
Published: (2023)

Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images
by: Liu, Che, et al.
Published: (2023)

How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?
by: Wang, Sicheng, et al.
Published: (2024)

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
by: Liu, Che, et al.
Published: (2024)

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training
by: Liu, Che, et al.
Published: (2023)

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

Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation
by: Liu, Che, et al.
Published: (2024)

UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning
by: Dhiman, Ankit, et al.
Published: (2025)

Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK
by: Wang, Wenqi, et al.
Published: (2024)

How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study
by: Liu, Che, et al.
Published: (2025)

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL
by: Liu, Che, et al.
Published: (2025)

SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning
by: Cai, Mingsheng, et al.
Published: (2025)

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
by: Wan, Zhongwei, et al.
Published: (2024)

DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America
by: Seal, Daniel, et al.
Published: (2024)

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation
by: Geng, Runpeng, et al.
Published: (2025)

Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions
by: Li, Jun, et al.
Published: (2025)

Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training
by: Bawazir, Ameera, et al.
Published: (2024)

BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval
by: Chen, Yinda, et al.
Published: (2024)

FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks
by: Wu, Peiran, et al.
Published: (2024)

Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion
by: Shen, Hui, et al.
Published: (2024)

TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions
by: Cheng, Sibo, et al.
Published: (2024)

UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages
by: Pham, Trinh, et al.
Published: (2024)

MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
by: Li, Lei, et al.
Published: (2024)

Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale
by: Zheng, Wenzhen, et al.
Published: (2024)

Multi-fidelity physics constrained neural networks for dynamical systems
by: Zhou, Hao, et al.
Published: (2024)

MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation
by: Kumar, Gurucharan Marthi Krishna, et al.
Published: (2024)

Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion Models
by: Ling, Zhangyue, et al.
Published: (2024)

OmniV-Med: Scaling Medical Vision-Language Model for Universal Visual Understanding
by: Jiang, Songtao, et al.
Published: (2025)

Noise2Noise Denoising of CRISM Hyperspectral Data
by: Platt, Robert, et al.
Published: (2024)

UniVRSE: Unified Vision-conditioned Response Semantic Entropy for Hallucination Detection in Medical Vision-Language Models
by: Liao, Zehui, et al.
Published: (2025)

MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations
by: Zhang, Ziyang, et al.
Published: (2025)

Language Anisotropic Cross-Lingual Model Editing
by: Xu, Yang, et al.
Published: (2022)

UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models
by: Chen, Lan, et al.
Published: (2025)

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
by: Liu, Che, et al.
Published: (2025)

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
by: Liu, Che, et al.
Published: (2024)

UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities
by: Khattak, Muhammad Uzair, et al.
Published: (2024)

Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities
by: Fujii, Kazuki, et al.
Published: (2024)

STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-Answering
by: Sun, Guohao, et al.
Published: (2024)

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching
by: Liu, Zhihua, et al.
Published: (2025)