MedVol-R1 is an RL framework that decouples 2D evidence grounding from 3D mask generation for volumetric reasoning segmentation and reports SOTA results on M3D-Seg benchmarks.
arXiv preprint arXiv:2601.06847 (2026)
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BioFact-MoE applies a biologically factorized MoE architecture to multimodal MRI-report data and reports improved 12-24 month survival AUCs plus selective embedding associations in an N=588 HCC cohort.
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MedVol-R1: Reward-Driven Evidence Grounding for Volumetric Reasoning Segmentation
MedVol-R1 is an RL framework that decouples 2D evidence grounding from 3D mask generation for volumetric reasoning segmentation and reports SOTA results on M3D-Seg benchmarks.
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BioFact-MoE: Biologically Factorized Mixture of Experts for Vision-Language Prognostic Modeling in Hepatocellular Carcinoma
BioFact-MoE applies a biologically factorized MoE architecture to multimodal MRI-report data and reports improved 12-24 month survival AUCs plus selective embedding associations in an N=588 HCC cohort.