Pre-training via Transfer Learning and Pretext Learning a Convolutional Neural Network for Automated Assessments of Clinical PET Image Quality

Autor: Hopson, Jessica B., Neji, Radhouene, Dunn, Joel T., McGinnity, Colm J., Flaus, Anthime, Reader, Andrew, Hammers, Alexander

Publikováno v: Hopson, J B, Neji, R, Dunn, J T, McGinnity, C J, Flaus, A, Reader, A & Hammers, A 2022, ' Pre-training via Transfer Learning and Pretext Learning a Convolutional Neural Network for Automated Assessments of Clinical PET Image Quality ', Transactions on Radiation and Plasma Medical Sciences . https://doi.org/10.1109/TRPMS.2022.3231702

Positron emission tomography (PET) using a fraction of the usual injected dose would reduce the amount of radioligand needed, as well as the radiation dose to patients and staff, but would compromise reconstructed image quality. For performing the sa

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https://kclpure.kcl.ac.uk/ws/files/194215775/FINAL_AAM_VERSION.pdf

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Pre-Training, Transfer Learning and Pretext Learning for a Convolutional Neural Network Applied to Automated Assessment of Clinical PET Image Quality

Autor: Hopson, Jessica B., Neji, Radhouene, Dunn, Joel T., McGinnity, Colm J., Flaus, Anthime, Reader, Andrew J., Hammers, Alexander

Publikováno v: IEEE Transactions on Radiation and Plasma Medical Sciences; 2023, Vol. 7 Issue: 4 p372-381, 10p

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Test–retest repeatability and interobserver variation of healthy tissue metabolism using 18F-FDG PET/CT of the thorax among lung cancer patients

Autor: Malaih, Afnan A., Dunn, Joel T., Nygård, Lotte, Kovacs, David G., Andersen, Flemming L., Barrington, Sally F., Fischer, Barbara M.

Publikováno v: Nuclear Medicine Communications; May 2022, Vol. 43 Issue: 5 p549-559, 11p