3 papers
eess.IV2026
Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence: a multi-cohort retrospective diagnostic accuracy study
James K Ruffle, Samia Mohinta, Guilherme Pombo +13
Brain tumour MRI typically requires both pre- and post-contrast imaging, but gadolinium is not always desirable (frequent follow-up, renal impairment, allergy, paediatric patients)…
cs.CV2026
Contour Refinement using Discrete Diffusion in Low Data Regime
Fei Yu Guan, Ian Keefe, Sophie Wilkinson +2
Boundary detection of irregular and translucent objects is an important problem with applications in medical imaging, environmental monitoring and manufacturing, where many of thes…
cs.HC2026
Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance
James K Ruffle, Samia Mohinta, Guilherme Pombo +13
The benefits of artificial intelligence (AI) human partnerships-evaluating how AI agents enhance expert human performance-are increasingly studied. Though rarely evaluated in healt…