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STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image Generation

STREAM applies Riemannian flow matching to histopathology VFM patch-token features on the hypersphere to avoid conditioning collapse, achieving state-of-the-art synthetic image generation via a stochastic bridge and anisotropic decoder.

Won June Cho, Daeky Jeong, Hyeongyeol Lim, Hongjun Yoon

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5
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GLINT: Sparsely Gated Vision-Language Alignment for Fine-Grained Radiology Representations

GLINT introduces sparse gating and dense feature regularization to learn fine-grained radiology vision-language representations that outperform baselines on classification, grounding, and zero-shot 3D CT segmentation.

Jonggwon Park, Seongeun Lee, Junhyun Park, Hannah Yun and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5