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Phillip Chlap

Showing results (11-20 of 23) with videos related to

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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.
Journal of Medical Imaging (Bellingham, Wash.)|August 22, 2022
Repeatability and reproducibility of magnetic resonance imaging-based radiomic features in rectal cancerRobba Rai, Michael B Barton, Phillip Chlap, et al.
Advances in Radiation Oncology|August 1, 2025
Dosimetric Clues to Addressing Urinary Toxicity Following Stereotactic Prostate Radiation TherapyMichael Cardoso, Matthew Richardson, Phillip Chlap, et al.
Medical Physics|April 8, 2023
Realistic CT data augmentation for accurate deep-learning based segmentation of head and neck tumors in kV images acquired during radiation therapyMark Gardner, Youssef Ben Bouchta, Adam Mylonas, et al.
European Radiology|July 5, 2023
Changes in serial multiparametric MRI and FDG-PET/CT functional imaging during radiation therapy can predict treatment response in patients with head and neck cancerYuvnik Trada, Paul Keall, Michael Jameson, et al.
Physical and Engineering Sciences in Medicine|February 13, 2023
Open-source, fully-automated hybrid cardiac substructure segmentation: development and optimisationRobert N Finnegan, Vicky Chin, Phillip Chlap, et al.
Physics in Medicine and Biology|March 12, 2024
Evaluating the relationship between contouring variability and modelled treatment outcome for prostate bed radiotherapyViet Le Bao, Annette Haworth, Jason Dowling, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 9, 2025
Implementation of an automated contour quality assurance tool within the TROG 18.01 NINJA trialPhillip Chlap, Hang Min, Jarad Martin, et al.
Cancers|February 11, 2023
Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning ApproachAli Haidar, Matthew Field, Vikneswary Batumalai, et al.
Physics in Medicine and Biology|September 10, 2021
Automatic radiotherapy delineation quality assurance on prostate MRI with deep learning in a multicentre clinical trialHang Min, Jason Dowling, Michael G Jameson, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
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.
Journal of Medical Imaging (Bellingham, Wash.)|August 22, 2022
Repeatability and reproducibility of magnetic resonance imaging-based radiomic features in rectal cancerRobba Rai, Michael B Barton, Phillip Chlap, et al.
Advances in Radiation Oncology|August 1, 2025
Dosimetric Clues to Addressing Urinary Toxicity Following Stereotactic Prostate Radiation TherapyMichael Cardoso, Matthew Richardson, Phillip Chlap, et al.
Medical Physics|April 8, 2023
Realistic CT data augmentation for accurate deep-learning based segmentation of head and neck tumors in kV images acquired during radiation therapyMark Gardner, Youssef Ben Bouchta, Adam Mylonas, et al.
European Radiology|July 5, 2023
Changes in serial multiparametric MRI and FDG-PET/CT functional imaging during radiation therapy can predict treatment response in patients with head and neck cancerYuvnik Trada, Paul Keall, Michael Jameson, et al.
Physical and Engineering Sciences in Medicine|February 13, 2023
Open-source, fully-automated hybrid cardiac substructure segmentation: development and optimisationRobert N Finnegan, Vicky Chin, Phillip Chlap, et al.
Physics in Medicine and Biology|March 12, 2024
Evaluating the relationship between contouring variability and modelled treatment outcome for prostate bed radiotherapyViet Le Bao, Annette Haworth, Jason Dowling, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 9, 2025
Implementation of an automated contour quality assurance tool within the TROG 18.01 NINJA trialPhillip Chlap, Hang Min, Jarad Martin, et al.
Cancers|February 11, 2023
Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning ApproachAli Haidar, Matthew Field, Vikneswary Batumalai, et al.
Physics in Medicine and Biology|September 10, 2021
Automatic radiotherapy delineation quality assurance on prostate MRI with deep learning in a multicentre clinical trialHang Min, Jason Dowling, Michael G Jameson, et al.
Pageof 3