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Author/Creator Ramachandran, Prabhakar

2. A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients**Deep Learning Fiducial Marker Localisation. (1st May 2022)

Authors:
Motley, Ryan; Ramachandran, Prabhakar; Fielding, Andrew
Journal:
Biomedical physics & engineering express
Issue:
Volume 8:Number 3(2022)
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Record Type:
Journal Article
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3. Assessment of cone beam computed tomography image quality and dose for commonly used pre-sets in external beam radiotherapy. (October 2022)

Authors:
Al-Kabkabi, Abdullah; Ramachandran, Prabhakar; Aamry, Ali; Tamam, Nissren; Abuhadi, Nouf H.; Johary, Yehia; Aamri, Hussin; Sulieman, Abdelmoneim; Trapp, Jamie
Journal:
Radiation physics and chemistry
Issue:
Volume 199(2022)
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Record Type:
Journal Article
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6. Geographical miss of the prostate during image‐guided radiotherapy with a 6‐mm posterior expansion margin. Issue 2 (8th November 2016)

Authors:
Oates, Richard; Jones, Daryl; Foroudi, Farshad; Gill, Suki; Ramachandran, Prabhakar; Schneider, Michal; Lim Joon, Michael; Kron, Tomas
Journal:
Journal of medical radiation sciences
Issue:
Volume 64:Issue 2(2017:Jun.)
Page Start:
97
Record Type:
Journal Article
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