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20242026
most citedEnhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation

19 citations · 30 across the 9 of their papers we have counts for

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5 papers · 1 filter

eess.IV2026

Reliability Stress Tests and Decision-Time Routing for Chest X-ray Vision-Language Models

Xinye Yang, Zhusi Zhong, Scott Collins +3

Medical vision-language model (VLM) evaluation is sensitive to workflow design, prompting strategy, and benchmark construction, yet most studies treat these factors in isolation. W…

eess.IV2026

Confidence-Gated Cloud-Edge Cascade Triage via Variational Risk Minimization for Medical Imaging

Xinye Yang, Zhusi Zhong, Scott Collins +7

Emergency chest X-ray (CXR) triage has a structural modality gap: reports arrive after triage decisions, yet multimodal foundation models require image-text inputs. We present Vari…

eess.IV2024★ 6 cited

Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation

Kang Liu, Zhuoqi Ma, Xiaolu Kang +5

The automated generation of imaging reports proves invaluable in alleviating the workload of radiologists. A clinically applicable reports generation algorithm should demonstrate i…

eess.IV2024★ 1 cited

Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation

Zhusi Zhong, Jie Li, John Sollee +7

In response to the worldwide COVID-19 pandemic, advanced automated technologies have emerged as valuable tools to aid healthcare professionals in managing an increased workload by…

eess.IV2024★ 3 cited

Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation

Kang Liu, Zhuoqi Ma, Mengmeng Liu +4

A radiology report comprises presentation-style vocabulary, which ensures clarity and organization, and factual vocabulary, which provides accurate and objective descriptions based…