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cs.CV2025

ChestGPT: Integrating Large Language Models and Vision Transformers for Disease Detection and Localization in Chest X-Rays

Shehroz S. Khan, Petar Przulj, Ahmed Ashraf +1

The global demand for radiologists is increasing rapidly due to a growing reliance on medical imaging services, while the supply of radiologists is not keeping pace. Advances in co…

cs.CV2025

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments

Ali Abedi, Sadaf Safa, Tracey J. F. Colella +1

Engagement in virtual learning is essential for participant satisfaction, performance, and adherence, particularly in online education and virtual rehabilitation, where interactive…

cs.CV2025

Supervised Contrastive Learning for Ordinal Engagement Measurement

Sadaf Safa, Ali Abedi, Shehroz S. Khan

Student engagement plays a crucial role in the successful delivery of educational programs. Automated engagement measurement helps instructors monitor student participation, identi…

cs.CV2025

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering

Jessica Tang, Ali Abedi, Tracey J. F. Colella +1

Exercise-based rehabilitation improves quality of life and reduces morbidity, mortality, and rehospitalization, though transportation constraints and staff shortages lead to high d…

cs.CV2024

UlcerGPT: A Multimodal Approach Leveraging Large Language and Vision Models for Diabetic Foot Ulcer Image Transcription

Reza Basiri, Ali Abedi, Chau Nguyen +2

Diabetic foot ulcers (DFUs) are a leading cause of hospitalizations and lower limb amputations, placing a substantial burden on patients and healthcare systems. Early detection and…

cs.CV2024

Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks

Ali Abedi, Shehroz S. Khan

Engagement in virtual learning is crucial for a variety of factors including student satisfaction, performance, and compliance with learning programs, but measuring it is a challen…