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Michael Jameson

Showing results (11-20 of 39) with videos related to

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Physical and Engineering Sciences in Medicine|May 6, 2022
MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapyNicholas Lowther, Rob Louwe, Johnson Yuen, et al.
Radiation Oncology (London, England)|May 20, 2018
The impact of contour variation on tumour control probability in anal cancerMichael P Jones, Jarad Martin, Kerwyn Foo, et al.
Journal of Applied Clinical Medical Physics|October 3, 2024
Dosimetric impact of variable air cavity within PTV for rectum cancerEujin Chan, Simon K Goodall, Robert Finnegan, et al.
Journal of Medical Imaging and Radiation Oncology|July 27, 2021
Deep learning for segmentation in radiation therapy planning: a reviewGihan Samarasinghe, Michael Jameson, Shalini Vinod, et al.
Clinical and Translational Radiation Oncology|October 22, 2024
The impact of rectal spacers in MR-guided adaptive radiotherapyVikneswary Batumalai, David Crawford, Maddison Picton, et al.
Physics and Imaging in Radiation Oncology|January 18, 2021
Comparison of four dimensional computed tomography and magnetic resonance imaging in abdominal radiotherapy planningAndrew Oar, Gary Liney, Robba Rai, et al.
The New Zealand Medical Journal|June 25, 2013
A workforce survey of New Zealand medical oncologistsSimon Bidwell, Andrew Simpson, Richard Sullivan, et al.
Physical and Engineering Sciences in Medicine|May 14, 2025
Improving patient specific quality assurance for image registration: clinical use case of target contouring for PET deformable image registrationJohnson Yuen, Joel Poder, Michael Jameson, et al.
Journal of Medical Radiation Sciences|March 9, 2023
MR-Linac guided adaptive stereotactic ablative body radiotherapy for recurrent cardiac sarcoma with mitral valve bioprosthesis - a case reportVikneswary Batumalai, Madeline Carr, Michael Jameson, et al.
Magnetic Resonance Imaging|October 29, 2021
Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative imagesMina Ghaffari, Gihan Samarasinghe, Michael Jameson, et al.
Pageof 4

Showing results (11-20 of 39) with videos related to

Sort By:
Pageof 4
Physical and Engineering Sciences in Medicine|May 6, 2022
MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapyNicholas Lowther, Rob Louwe, Johnson Yuen, et al.
Radiation Oncology (London, England)|May 20, 2018
The impact of contour variation on tumour control probability in anal cancerMichael P Jones, Jarad Martin, Kerwyn Foo, et al.
Journal of Applied Clinical Medical Physics|October 3, 2024
Dosimetric impact of variable air cavity within PTV for rectum cancerEujin Chan, Simon K Goodall, Robert Finnegan, et al.
Journal of Medical Imaging and Radiation Oncology|July 27, 2021
Deep learning for segmentation in radiation therapy planning: a reviewGihan Samarasinghe, Michael Jameson, Shalini Vinod, et al.
Clinical and Translational Radiation Oncology|October 22, 2024
The impact of rectal spacers in MR-guided adaptive radiotherapyVikneswary Batumalai, David Crawford, Maddison Picton, et al.
Physics and Imaging in Radiation Oncology|January 18, 2021
Comparison of four dimensional computed tomography and magnetic resonance imaging in abdominal radiotherapy planningAndrew Oar, Gary Liney, Robba Rai, et al.
The New Zealand Medical Journal|June 25, 2013
A workforce survey of New Zealand medical oncologistsSimon Bidwell, Andrew Simpson, Richard Sullivan, et al.
Physical and Engineering Sciences in Medicine|May 14, 2025
Improving patient specific quality assurance for image registration: clinical use case of target contouring for PET deformable image registrationJohnson Yuen, Joel Poder, Michael Jameson, et al.
Journal of Medical Radiation Sciences|March 9, 2023
MR-Linac guided adaptive stereotactic ablative body radiotherapy for recurrent cardiac sarcoma with mitral valve bioprosthesis - a case reportVikneswary Batumalai, Madeline Carr, Michael Jameson, et al.
Magnetic Resonance Imaging|October 29, 2021
Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative imagesMina Ghaffari, Gihan Samarasinghe, Michael Jameson, et al.
Pageof 4