2 papers
cs.CV2026
Latent Space Is Not Flat: Rethinking Latent Structure for 3D Medical Image Synthesis
Haowen Xue, Hao Chen, Hexuan Hu +6
Latent generative models make 3D medical image synthesis computationally practical by generating in a compressed space. However, we show that the common flat Euclidean assumption i…
cs.LG2026
Making medical vision-language models think causally across modalities with retrieval-augmented cross-modal reasoning
Weiqin Yang, Haowen Xue, Qingyi Peng +3
Medical vision-language models (VLMs) achieve strong performance in diagnostic reporting and image-text alignment, yet their underlying reasoning mechanisms remain fundamentally co…