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.· IEEE journal of biomedical a...· 0 citations
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.· Nature Communications· 2 citations
SinoDiff is a novel self-supervised, physics-consistent diffusion framework for the recovery of PET sinograms across multiple predefined dose levels, and achieves competitive performance against supervised and self-supervised baselines across multiple dose levels.
Ghulam Nabi Ahmad Hassan Yar, Himashi Peiris, S. Jamadar et al.· 0 citations
This work proposes a geometry-guided local operator that steers where features are sampled, rather than deforming convolutional kernels, under a single formulation for both feature refinement and resolution reduction in a 3D U-Net.
