McCague, Cathal

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Roberts, M., Driggs, D., Thorpe, M., Gilbey, J., Yeung, M., Ursprung, S., Aviles-Rivero, A. I., Etmann, C., McCague, C., Beer, L., et al. (2021) · Nature Machine Intelligence

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

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Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation

Buddenkotte, T., Escudero Sanchez, L., Crispin-Ortuzar, M., Woitek, R., McCague, C., Brenton, J. D., Öktem, O., Sala, E., & Rundo, L. (2023) · Computers in Biology and Medicine

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

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