5 papers
Toward Clinically Ready Foundation Models in Medical Image Analysis: Adaptation Mechanisms and Deployment Trade-offs
Karma Phuntsho, Abdullah, Kyungmi Lee +2
Foundation models (FMs) have demonstrated strong transferability across medical imaging tasks, yet their clinical utility depends critically on how pretrained representations are a…
Adaptation of Foundation Models for Medical Image Analysis: Strategies, Challenges, and Future Directions
Karma Phuntsho, Abdullah, Kyungmi Lee +2
Foundation models (FMs) have emerged as a transformative paradigm in medical image analysis, offering the potential to provide generalizable, task-agnostic solutions across a wide…
Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward
Muhammad Islam, Tao Huang, Euijoon Ahn +1
This paper presents an in-depth survey on the use of multimodal Generative Artificial Intelligence (GenAI) and autoregressive Large Language Models (LLMs) for human motion understa…
Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior
Yanlong Yang, Jianan Liu, Guanxiong Luo +4
In industrial automation, radar is a critical sensor in machine perception. However, the angular resolution of radar is inherently limited by the Rayleigh criterion, which depends…
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
Abdullah, Tao Huang, Ickjai Lee +1
The diffusion model has recently emerged as a potent approach in computer vision, demonstrating remarkable performances in the field of generative artificial intelligence. Capable…