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Oct 2026

Topology-Aware Co-Domain Learning for Ultra-Low-Field MRI Enhancement.

Ultra-low-field (ULF) MRI offers a cost effective and portable imaging alternative for High-Field (HF) MR imaging, but remains limited by its low signal to-noise ratio (SNR) and compressed contrast resolution. Existing enhancement methods have shown promising improvements yet often fail to recover fine anatomical detai...

Sanuwani Dayarathna, Himashi Peiris, Kh Tohidul Islam et al. · 0 citations
Open access Aug 2026

Segment any tumour: an uncertainty-aware vision foundation model for whole-body analysis

Prompt-driven vision foundation models, such as the Segment Anything Model, have shown adaptability in computer vision, but their use in medical imaging remains challenging due to heterogeneous anatomy, artefacts, and low-contrast tumour boundaries. This is particularly difficult in whole-body tumour analysis, where mo...

Himashi Peiris, Si-Zhe Wang, Gary F. Egan et al. · 2 citations

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