5 citations · 6 across the 3 of their papers we have counts for
3 papers
eess.IV2024
High-confidence pseudo-labels for domain adaptation in COVID-19 detection
Robert Turnbull, Simon Mutch
This paper outlines our submission for the 4th COV19D competition as part of the `Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis' (DEF-AI-MIA) worksho…
eess.IV2023★ 1 cited
Enhanced detection of the presence and severity of COVID-19 from CT scans using lung segmentation
Robert Turnbull
Improving automated analysis of medical imaging will provide clinicians more options in providing care for patients. The 2023 AI-enabled Medical Image Analysis Workshop and Covid-1…
eess.IV2022★ 5 cited
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets
Robert Turnbull
Deep learning has been used to assist in the analysis of medical imaging. One such use is the classification of Computed Tomography (CT) scans when detecting for COVID-19 in subjec…