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Open access Aug 2026

Evaluating the impact of segmentation strategies on radiomic feature stability for paediatric brain tumour diagnosis using diffusion weighted imaging

The consistently reduced impact of conservative boundaries over extensive ones suggests that, in terms of segmentation strategies, exclusion of ambiguous boundary regions may be preferable over their inclusion.

T. Mulvany, D. Griffiths-King, Lara Worthington et al. · 0 citations
Review Open access Sep 2026

Deep learning for cardiac CT segmentation for congenital heart disease: A systematic review

Purpose Deep Learning (DL) has transformed cardiac image segmentation, yet its application to congenital heart disease (CHD) remains underexplored, with no prior systematic review in this emerging domain. This review evaluates current DL approaches for CHD CT segmentation, identifies best performing model architectures...

Sinling Tiffany Yu, Zahra Amini, Shereen Fouad et al. · 0 citations
Open access Aug 2026

80 The Multi-Modal Combination of Magnetic Resonance Spectroscopy and Apparent Diffusion Coefficient Features Improves Radiological Prognostic Stratification of Paediatric Medulloblastoma

Magnetic Resonance Spectroscopy (MRS) and Apparent Coefficient Maps (ADC) features have previously demonstrated prognostic value, identifying high-risk groups of paediatric medulloblastoma (MB) and predicting patient survival. Despite evidence in diagnostic applications that their multi-modal combination can prov...

T. Mulvany, D. Griffiths-King, K. Crombie et al. · 0 citations

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