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McWilliam, Alan
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1

Case study: Handling small datasets – Transfer learning for..:

, In: Machine Learning and Artificial Intelligence in Radiation Oncology,
Green, Andrew ; McWilliam, Alan - p. 381-400 , 2024
Link: https://doi.org/10.1016/..
 
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2

Contributors:

, In: Machine Learning and Artificial Intelligence in Radiation Oncology,
Ahmed, Sara ; Au Yong, Tracy P.T. ; Bakst, Richard... - p. ix-xi , 2024
Link: https://doi.org/10.1016/..
 
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3

Fusion Contours as a Source of Segmentation Training Data: ..:

, In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI),
McSweeney, Donal M. ; Bromiley, Paul A. ; Green, Andrew.. - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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4

A Novel Method Combining Global and Local Assessments to Ev..:

, In: Simulation and Synthesis in Medical Imaging; Lecture Notes in Computer Science,
Sargeant, Chelsea ; Green, Andrew ; Shortall, Jane... - p. 122-131 , 2022
Link: https://doi.org/10.1007/..
 
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Stuck-at Fault Resilience using Redundant Transistor Logic ..:

, In: 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech),
McWilliam, Richard ; Schiefer, Philipp ; Purvis, Alan. - p. 595-601 , 2019
Link: https://doi.org/10.1109/..
 
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