Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Stephen Skett"'
Autor:
Stephen Skett, Tina Patel, Didier Duprez, Sunnia Gupta, Tucker Netherton, Christoph Trauernicht, Sarah Aldridge, David Eaton, Carlos Cardenas, Laurence E. Court, Daniel Smith, Ajay Aggarwal
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 31, Iss , Pp 100637- (2024)
Background and purpose: In many clinics, positron-emission tomography is unavailable and clinician time extremely limited. Here we describe a deep-learning model for autocontouring gross disease for patients undergoing palliative radiotherapy for pri
Externí odkaz:
https://doaj.org/article/9f6fa066234a4fdfa524b0146dc88885
Autor:
Skylar S. Gay, Carlos E. Cardenas, Callistus Nguyen, Tucker J. Netherton, Cenji Yu, Yao Zhao, Stephen Skett, Tina Patel, Delali Adjogatse, Teresa Guerrero Urbano, Komeela Naidoo, Beth M. Beadle, Jinzhong Yang, Ajay Aggarwal, Laurence E. Court
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Planning for palliative radiotherapy is performed without the advantage of MR or PET imaging in many clinics. Here, we investigated CT-only GTV delineation for palliative treatment of head and neck cancer. Two multi-institutional datasets of
Externí odkaz:
https://doaj.org/article/bf6573bdcca64c2c8642143c66c07ab1
Autor:
Stephen Skett, Tina Patel, Sunnia Gupta, Sarah Aldridge, David Eaton, Tucker Netherton, Carlos Cardenas, Laurence Court, Daniel Smith, Ajay Aggarwal
Publikováno v:
Lung Cancer. 178:S53-S54
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78234e74f69b13d911d46b208296d2fd
https://doi.org/10.1016/s0169-5002(23)00551-2
https://doi.org/10.1016/s0169-5002(23)00551-2
Autor:
Yao Xiao, Carlos Cardenas, Dong Joo Rhee, Tucker Netherton, Lifei Zhang, Callistus Nguyen, Raphael Douglas, Raymond Mumme, Stephen Skett, Tina Patel, Chris Trauernicht, Caroline Chung, Hannah Simonds, Ajay Aggarwal, Laurence Court
Publikováno v:
Journal of applied clinical medical physicsREFERENCES.
To develop and evaluate an automated whole-brain radiotherapy (WBRT) treatment planning pipeline with a deep learning-based auto-contouring and customizable landmark-based field aperture design.The pipeline consisted of the following steps: (1) Auto-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d8f286c530ac7f6c53f6f2644ae8a05
https://pubmed.ncbi.nlm.nih.gov/36412092
https://pubmed.ncbi.nlm.nih.gov/36412092
Autor:
Stephen Skett
Publikováno v:
Physica Medica. 30:e32-e33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e5620191c2daa149e76b2cd3bd036f1
https://doi.org/10.1016/j.ejmp.2014.07.104
https://doi.org/10.1016/j.ejmp.2014.07.104