:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xu, Zibo, Li, Qiang, Nie, Weizhi, Wang, Weijie, Liu, Anan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2505.02703
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Ask4VG: Risk-Aware Question Selection for Reducing Prior-Driven Answers in Medical VQA
by: Zhu, Xiaorong, et al.
Published: (2026)

Learning to Trim: End-to-End Causal Graph Pruning with Dynamic Anatomical Feature Banks for Medical VQA
by: Xu, Zibo, et al.
Published: (2026)

Causal Disentanglement for Robust Long-tail Medical Image Generation
by: Nie, Weizhi, et al.
Published: (2025)

Dual Causal Inference: Integrating Backdoor Adjustment and Instrumental Variable Learning for Medical VQA
by: Xu, Zibo, et al.
Published: (2026)

CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
by: Zeng, Jianhao, et al.
Published: (2023)

FreeInsert: Disentangled Text-Guided Object Insertion in 3D Gaussian Scene without Spatial Priors
by: Li, Chenxi, et al.
Published: (2025)

Targeted Visual Prompting for Medical Visual Question Answering
by: Tascon-Morales, Sergio, et al.
Published: (2024)

How Good LLMs Are at Answering Bangla Medical Visual Questions? Dataset and Benchmarking
by: Ahmed, Rafid, et al.
Published: (2026)

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
by: Zhang, Xiaoman, et al.
Published: (2023)

Saliency Guided Longitudinal Medical Visual Question Answering
by: Wu, Jialin, et al.
Published: (2025)

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

LaPA: Latent Prompt Assist Model For Medical Visual Question Answering
by: Gu, Tiancheng, et al.
Published: (2024)

MV-CLIP: Multi-View CLIP for Zero-shot 3D Shape Recognition
by: Song, Dan, et al.
Published: (2023)

Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion
by: Zhang, Junkai, et al.
Published: (2025)

Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation
by: Liu, Gang, et al.
Published: (2024)

Unlabeled Cross-Center Automatic Analysis for TAAD: An Integrated Framework from Segmentation to Clinical Features
by: Liu, Mengdi, et al.
Published: (2026)

InViC: Intent-aware Visual Cues for Medical Visual Question Answering
by: Wang, Zhisong, et al.
Published: (2026)

MedLVR: Latent Visual Reasoning for Reliable Medical Visual Question Answering
by: Xi, Suyang, et al.
Published: (2026)

Hallucination Benchmark in Medical Visual Question Answering
by: Wu, Jinge, et al.
Published: (2024)

Combining Knowledge Graph and LLMs for Enhanced Zero-shot Visual Question Answering
by: Tao, Qian, et al.
Published: (2025)

Eliminating the Language Bias for Visual Question Answering with fine-grained Causal Intervention
by: Liu, Ying, et al.
Published: (2024)

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering
by: Chen, Jiayi, et al.
Published: (2026)

Enhancing Visual Question Answering with Multimodal LLMs via Chain-of-Question Guided Retrieval-Augmented Generation
by: Xu, Quanxing, et al.
Published: (2026)

Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering
by: Ha, Cuong Nhat, et al.
Published: (2024)

Free Form Medical Visual Question Answering in Radiology
by: Narayanan, Abhishek, et al.
Published: (2024)

Prompt-based Personalized Federated Learning for Medical Visual Question Answering
by: Zhu, He, et al.
Published: (2024)

Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs
by: Wang, Jialou, et al.
Published: (2024)

CIV-DG: Conditional Instrumental Variables for Domain Generalization in Medical Imaging
by: Bai, Shaojin, et al.
Published: (2026)

Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights
by: Mishra, Deepali, et al.
Published: (2025)

MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale
by: Gai, Xiaotang, et al.
Published: (2024)

Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering
by: Hao, Dongze, et al.
Published: (2024)

TM-PATHVQA:90000+ Textless Multilingual Questions for Medical Visual Question Answering
by: Rajkhowa, Tonmoy, et al.
Published: (2024)

MedXplain-VQA: Multi-Component Explainable Medical Visual Question Answering
by: Nguyen, Hai-Dang, et al.
Published: (2025)

Q-FSRU: Quantum-Augmented Frequency-Spectral For Medical Visual Question Answering
by: Thakur, Rakesh, et al.
Published: (2025)

Multimodal Integration of Human-Like Attention in Visual Question Answering
by: Sood, Ekta, et al.
Published: (2021)

Advancing Vietnamese Visual Question Answering with Transformer and Convolutional Integration
by: Nguyen, Ngoc Son, et al.
Published: (2024)

V-Loop: Visual Logical Loop Verification for Hallucination Detection in Medical Visual Question Answering
by: Jin, Mengyuan, et al.
Published: (2026)

Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering
by: Hagen, Luca, et al.
Published: (2026)

Location-Aware Pretraining for Medical Difference Visual Question Answering
by: Musinguzi, Denis, et al.
Published: (2026)

Multimodal Rationales for Explainable Visual Question Answering
by: Li, Kun, et al.
Published: (2024)