3 citations · 7 across the 9 of their papers we have counts for
11 papers
SonoWorld: Towards Interactive Pose-Controllable Ultrasound World Models
Zefan Yang, Zheyuan Zhang, Boris Maihe +7
Robotic ultrasound can standardize image acquisition and reduce operator workload and variability, but policy learning remains limited by the lack of realistic, controllable simula…
Learning Directional Semantic Transitions for Longitudinal Chest X-ray Analysis
Zhangfeng Hu, Zefan Yang, Ge Wang +4
Chest X-ray (CXR) interpretation often requires longitudinal comparison to assess disease progression. Existing approaches typically rely on temporal feature fusion or inter-study…
X-WIN: Building Chest Radiograph World Model via Predictive Sensing
Zefan Yang, Ge Wang, James Hendler +2
Chest X-ray radiography (CXR) is an essential medical imaging technique for disease diagnosis. However, as 2D projectional images, CXRs are limited by structural superposition and…
Chest X-ray Foundation Model with Global and Local Representations Integration
Zefan Yang, Xuanang Xu, Jiajin Zhang +3
Chest X-ray (CXR) is the most frequently ordered imaging test, supporting diverse clinical tasks from thoracic disease detection to postoperative monitoring. However, task-specific…
Integrating AI in College Education: Positive yet Mixed Experiences with ChatGPT
Xinrui Song, Jiajin Zhang, Pingkun Yan +4
The integration of artificial intelligence (AI) chatbots into higher education marks a shift towards a new generation of pedagogical tools, mirroring the arrival of milestones like…
Explaining Chest X-ray Pathology Models using Textual Concepts
Vijay Sadashivaiah, Pingkun Yan, James A. Hendler
Deep learning models have revolutionized medical imaging and diagnostics, yet their opaque nature poses challenges for clinical adoption and trust. Amongst approaches to improve mo…
Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba
Zefan Yang, Jiajin Zhang, Ge Wang +2
Accurate prediction of Cardiovascular disease (CVD) risk in medical imaging is central to effective patient health management. Previous studies have demonstrated that imaging featu…
Disease-informed Adaptation of Vision-Language Models
Jiajin Zhang, Ge Wang, Mannudeep K. Kalra +1
In medical image analysis, the expertise scarcity and the high cost of data annotation limits the development of large artificial intelligence models. This paper investigates the p…
Multimodal Neurodegenerative Disease Subtyping Explained by ChatGPT
Diego Machado Reyes, Hanqing Chao, Juergen Hahn +2
Alzheimer's disease (AD) is the most prevalent neurodegenerative disease; yet its currently available treatments are limited to stopping disease progression. Moreover, effectivenes…
Specialty-Oriented Generalist Medical AI for Chest CT Screening
Chuang Niu, Qing Lyu, Christopher D. Carothers +6
Modern medical records include a vast amount of multimodal free text clinical data and imaging data from radiology, cardiology, and digital pathology. Fully mining such big data re…
Integrative Analysis for COVID-19 Patient Outcome Prediction
Hanqing Chao, Xi Fang, Jiajin Zhang +13
While image analysis of chest computed tomography (CT) for COVID-19 diagnosis has been intensively studied, little work has been performed for image-based patient outcome predictio…