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20212026
most citedThe Road to the Ideal Stent: A Review of Stent Design Optimisation Methods, Findings, and Opportunities

60 citations

8 papers

cs.CL2026

CUICurate: A GraphRAG-based Framework for Automated Clinical Concept Curation for NLP applications

Victoria Blake, Jamie Novak, Mathew Miller +2

Background: Clinical named entity recognition tools commonly map free text to Unified Medical Language System (UMLS) Concept Unique Identifiers (CUIs). For many downstream tasks, h…

physics.med-ph2025

Mechanistic Insights Into How Rewiring and Bifurcation Angle Affect DK-Crush Stent Deployment

Andrea Colombo, Dario Carbonaro, Mingzi Zhang +4

Background Double Kissing Crush (DKC) is a preferred two-stent technique for complex coronary bifurcation lesions. Proximal cell rewiring is routinely recommended to reduce technic…

physics.med-ph2025

Are Ultrathin Stents Optimal for Bifurcation Lesions? Insights from Computational Modelling of Provisional and DK-Crush Techniques

Andrea Colombo, Dario Carbonaro, Mingzi Zhang +7

Complex coronary bifurcation lesions remain challenging in percutaneous coronary intervention, with stent design and deployment strategy influencing clinical outcomes. This study c…

physics.med-ph2023★ 60 cited

The Road to the Ideal Stent: A Review of Stent Design Optimisation Methods, Findings, and Opportunities

Ankush Kapoor, Nigel Jepson, Neil W. Bressloff +3

Coronary stent designs have undergone significant transformations in geometry, materials, and drug elution coatings, contributing to the continuous improvement of stenting success…

cs.DL2023★ 2 cited

The Cardiac Analytics and Innovation (CardiacAI) Data Repository: An Australian data resource for translational cardiovascular research

Victoria Blake, Louisa Jorm, Jennifer Yu +3

In Australia, cardiovascular diseases (CVD) are managed in a complex and fragmented healthcare system across multiple providers. A data repository that links data sources, and enab…

physics.med-ph2022★ 8 cited

Accurate and fast deep learning dose prediction for a preclinical microbeam radiation therapy study using low-statistics Monte Carlo simulations

Florian Mentzel, Jason Paino, Micah Barnes +13

Microbeam radiation therapy (MRT) utilizes coplanar synchrotron radiation beamlets and is a proposed treatment approach for several tumour diagnoses that currently have poor clinic…