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cs.CV2026
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…
cs.CV2025
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…
cs.CV2025
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…