Author

Arunava Roy

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Open access Aug 2026

triprompt: deformation-aware multimodal prompting for robust 3D segmentation

Accurate 3D medical image segmentation remains extremely challenging under severe anatomical variability caused by respiration motion, growth, and tumor-induced deformation. Existing prompt-based strategies mainly rely on visual and textual cues that essentially capture what organs look like or what they mean, al...

Usman Ahmad Usmani, Arunava Roy, Junzo Watada · Scientific Reports · 0 citations

#diffusion models Open access Aug 2026

Robust unsupervised domain adaptation for medical image segmentation via frequency-conditioned graph diffusion

A novel structured latent UDA framework that performs domain alignment in a topology-aware representation space rather than directly modifying image appearance is proposed, highlighting the effectiveness of structured latent modeling and diffusion-based learning for robust domain-adaptive segmentation.

Usman Ahmad Usmani, Arunava Roy, Junzo Watada · Scientific Reports · 0 citations