Yijun Yang

Mamba's long-range dependency modeling, previously underutilized in 3D medical imaging, now achieves state-of-the-art segmentation performance thanks to a novel tri-orientated spatial block.

Imagine a world where AI can simulate tumor growth under different treatments, helping doctors choose the best plan – this paper makes that vision a reality with a medical world model that outperforms even specialized GPTs.