450 citations
- Brunel University of LondonGB3 papers
- Queen Mary University of LondonGB3 papers
- Beijing University of Posts and TelecommunicationsCN2 papers
- University of Engineering and Technology TaxilaPK2 papers
- Boston UniversityUS1 paper
- BT ResearchGB1 paper
- Halton General HospitalGB1 paper
- Holon Institute of TechnologyIL1 paper
- Howard UniversityUS1 paper
- Imperial College Healthcare NHS TrustGB1 paper
- Imperial College LondonGB1 paper
- Kyungpook National UniversityKR1 paper
Showing eess.IVShow all
2 papers · 1 filter
eess.IV2022★ 21 cited
Automated Assessment of Transthoracic Echocardiogram Image Quality Using Deep Neural Networks
Robert B. Labs, Apostolos Vrettos, Jonathan Loo +1
Standard views in two-dimensional echocardiography are well established but the quality of acquired images are highly dependent on operator skills and are assessed subjectively. Th…
eess.IV2022★ 9 cited
Echocardiographic Image Quality Assessment Using Deep Neural Networks
Robert B. Labs, Massoud Zolgharni, Jonathan P. Loo
Echocardiography image quality assessment is not a trivial issue in transthoracic examination. As the in vivo examination of heart structures gained prominence in cardiac diagnosis…