activity
20202026
most citedMultimodal Neurodegenerative Disease Subtyping Explained by ChatGPT

3 citations · 7 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.AI2024★ 2 cited

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…

cs.CV2024

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…

eess.IV2024

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…

cs.CV2024

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…

cs.LG2024★ 3 cited

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…