Author

Zhao-Lin Chen

h-index 2 View on Semantic Scholar

We have 3 of 14 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

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. · Nature Communications · 2 citations

Preprint Aug 2026

SinoDiff: Physics-Consistent Self-Supervised Diffusion for Unified Low-Dose to Standard-Dose PET Sinogram Recovery

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

Preprint Aug 2026

Steer the Sampling, Not the Kernel Grid: Geometry-Guided Sampling Operator for Volumetric Segmentation

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.

Si-Zhe Wang, Himashi Peiris, Zhao-Lin Chen · 0 citations