Multimodality imaging with CT, MR and FDG-PET for radiotherapy target volume delineation in oropharyngeal squamous cell carcinoma
2015 · BMC Cancer · 58 citations
https://doi.org/10.1186/s12885-015-1867-8
J
Jonathan Sykes
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Jonathan Sykes is an academic researcher from Quanta Technology (United States). The author has contributed to research in topics: Advanced Radiotherapy Techniques & Medical Imaging Techniques and Applications & Radiomics and Machine Learning in Medical Imaging. The author has an h-index of 24, co-authored 131 publications.
ORCID: 0000-0002-3823-3892Papers by this author
worksDevelopments in and experience of kilovoltage X-ray cone beam image-guided radiotherapy
2006 · British Journal of Radiology · 52 citations
https://doi.org/10.1259/bjr/68255935
Alterations in anatomic and functional imaging parameters with repeated FDG PET-CT and MRI during radiotherapy for head and neck cancer: a pilot study
2015 · BMC Cancer · 40 citations
https://doi.org/10.1186/s12885-015-1154-8
Deforming to Best Practice: Key considerations for deformable image registration in radiotherapy
2020 · Journal of Medical Radiation Sciences · 31 citations
https://doi.org/10.1002/jmrs.417
Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer
2022 · Journal of Biomedical Informatics · 23 citations
https://doi.org/10.1016/j.jbi.2022.104181
PSPSO: A package for parameters selection using particle swarm optimization
2021 · SoftwareX · 22 citations
https://doi.org/10.1016/j.softx.2021.100706
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