Cover Image

RadEyeVideo: Enhancing general-domain Large Vision Language Model for chest X-ray analysis with video representations of eye gaze

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Yunsoo, Wu, Jinge, Wu, Honghan
Format:	Preprint
Published:	2025
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 Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns
by: Kim, Yunsoo, et al.
Published: (2024)

Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report Generation
by: Kim, Yunsoo, et al.
Published: (2025)

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

SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation
by: Wu, Jinge, et al.
Published: (2024)

Exploring Multimodal Large Language Models for Radiology Report Error-checking
by: Wu, Jinge, et al.
Published: (2023)

LoV3D: Grounding Cognitive Prognosis Reasoning in Longitudinal 3D Brain MRI via Regional Volume Assessments
by: Jiang, Zhaoyang, et al.
Published: (2026)

MedExQA: Medical Question Answering Benchmark with Multiple Explanations
by: Kim, Yunsoo, et al.
Published: (2024)

HARE: an entity and relation centric evaluation framework for histopathology reports
by: Kim, Yunsoo, et al.
Published: (2025)

Joint enhancement of automatic chest X-ray diagnosis and radiological gaze prediction with multi-stage cooperative learning
by: Qiu, Zirui, et al.
Published: (2024)

RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization
by: Wu, Jinge, et al.
Published: (2024)

RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
by: Park, Jonggwon, et al.
Published: (2025)

RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
by: Zhang, Xiaoman, et al.
Published: (2024)

Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss terms
by: Wilson, Ethan, et al.
Published: (2024)

PiercingEye: Dual-Space Video Violence Detection with Hyperbolic Vision-Language Guidance
by: Leng, Jiaxu, et al.
Published: (2025)

CXR-Agent: Vision-language models for chest X-ray interpretation with uncertainty aware radiology reporting
by: Sharma, Naman
Published: (2024)

Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations
by: Lotfinia, Mahshad, et al.
Published: (2025)

RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows
by: Zhang, Kai, et al.
Published: (2025)

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

Enhancing zero-shot learning in medical imaging: integrating clip with advanced techniques for improved chest x-ray analysis
by: Bhardwaj, Prakhar, et al.
Published: (2025)

BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain
by: Kim, Yunsoo, et al.
Published: (2025)

A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling
by: Wang, Chong, et al.
Published: (2026)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
by: Holste, Gregory, et al.
Published: (2023)

Machine learning and machine learned prediction in chest X-ray images
by: Garrett, Shereiff, et al.
Published: (2025)

MVP: Enhancing Video Large Language Models via Self-supervised Masked Video Prediction
by: Sun, Xiaokun, et al.
Published: (2026)

A foundation model for generalizable disease diagnosis in chest X-ray images
by: Xu, Lijian, et al.
Published: (2024)

MedSAM-based lung masking for multi-label chest X-ray classification
by: Miao, Brayden, et al.
Published: (2025)

MetaChest: Generalized few-shot learning of pathologies from chest X-rays
by: Montalvo-Lezama, Berenice, et al.
Published: (2025)

Enhancing Video Large Language Models with Structured Multi-Video Collaborative Reasoning
by: He, Zhihao, et al.
Published: (2025)

Nodule detection and generation on chest X-rays: NODE21 Challenge
by: Sogancioglu, Ecem, et al.
Published: (2024)

Interpreting Radiologist's Intention from Eye Movements in Chest X-ray Diagnosis
by: Pham, Trong-Thang, et al.
Published: (2025)

DynamicRad: Content-Adaptive Sparse Attention for Long Video Diffusion
by: Long, Yongji, et al.
Published: (2026)

E2EGS: Event-to-Edge Gaussian Splatting for Pose-Free 3D Reconstruction
by: Kim, Yunsoo, et al.
Published: (2026)

Epanechnikov nonparametric kernel density estimation based feature-learning in respiratory disease chest X-ray images
by: Marsico, Veronica, et al.
Published: (2025)

Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
by: Ma, Chong, et al.
Published: (2024)

BoostRad: Enhancing Object Detection by Boosting Radar Reflections
by: Haitman, Yuval, et al.
Published: (2024)

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

SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data
by: Wu, Jialong, et al.
Published: (2024)

RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models
by: Zhang, Serena, et al.
Published: (2024)

Enhancing accuracy of uncertainty estimation in appearance-based gaze tracking with probabilistic evaluation and calibration
by: Zheng, Qiaojie, et al.
Published: (2025)

Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding
by: Wu, Minghui, et al.
Published: (2024)