Ying Zhang
@Ying99318835
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PhD student in medical physics and biomedical engineering at UCL
London, England
Joined January 2019
Excited to say our paper "A probability model for anatomical robust optimisation in head and neck cancer proton therapy" is accepted by PMB.
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Pre‐treatment analysis of non‐rigid variations can assist robust intensity‐modulated proton therapy plan selection for head and neck patients
aapm.onlinelibrary.wiley.com
Purpose To incorporate small non-rigid variations of head and neck patients into the robust evaluation of intensity-modulated proton therapy (IMPT) for the selection of robust treatment plans. Met...
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Pre-treatment analysis of non-rigid variations can assist robust IMPT plan selection for head and neck patients https://t.co/o2AbfltWEb
aapm.onlinelibrary.wiley.com
Purpose To incorporate small non-rigid variations of head and neck patients into the robust evaluation of intensity-modulated proton therapy (IMPT) for the selection of robust treatment plans. Met...
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We're recruiting again! Join our group at @UCL with a post-doc position on AI/ML methods for digital pathology to improve efficiency and outcome prediction in lung cancer and sarcomas! https://t.co/BPlzZwn3mr
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Congratulations to @Ying99318835 for being published in #thegreenjournal @RadiotherapyOn1. Check out her work on adaptive proton therapy for head and neck patients @UCLmedphys #phdchat #protontherapy
https://t.co/ILYaBKldYJ
thegreenjournal.com
Intensity modulated proton therapy (IMPT) offers the potential to limit dose to normal tissues for head and neck (H&N) cancer patients [1–5]. However, this precise delivery technique has inherent...
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DIR-based models to predict weekly anatomical changes in head and neck cancer proton therapy - IOPscience
iopscience.iop.org
DIR-based models to predict weekly anatomical changes in head and neck cancer proton therapy, Zhang, Ying, McGowan Holloway, Stacey, Zoë Wilson, Megan, Alshaikhi, Jailan, Tan, Wenyong, Royle, Gary,...
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I am very excited to advertise a new 4 years position in my research group to work with us on lung cancer outcome prediction. This is a very exciting opportunity, don't hesitate to apply and contact me for more info! #ukriflf @uclcancer @UCLmedphys
https://t.co/z9tbTq61v9
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excited about it!
Well done Ying Zhang who is presenting her poster @NPL PPRIG using proton radiological pathlegnth in improving efficiency in a adaptive planning workflow. Ying recently began her PhD in our group focussing on adaptive planning in proton therapy @varianuk @CRUKLondon @UCLmedphys
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