Works matching AU Chlap, Phillip

Results: 9

Changes in serial multiparametric MRI and FDG-PET/CT functional imaging during radiation therapy can predict treatment response in patients with head and neck cancer.

Published in:

European Radiology, 2023, v. 33, n. 12, p. 8788, doi. 10.1007/s00330-023-09843-2

By:

Trada, Yuvnik;
Keall, Paul;
Jameson, Michael;
Moses, Daniel;
Lin, Peter;
Chlap, Phillip;
Holloway, Lois;
Min, Myo;
Forstner, Dion;
Fowler, Allan;
Lee, Mark T.

Publication type:

Article

Development of a vendor neutral MRI distortion quality assurance workflow.

Published in:

Journal of Applied Clinical Medical Physics, 2022, v. 23, n. 10, p. 1, doi. 10.1002/acm2.13735

By:

Walker, Amy;
Chlap, Phillip;
Causer, Trent;
Mahmood, Faisal;
Buckley, Jarryd;
Holloway, Lois

Publication type:

Article

Realistic CT data augmentation for accurate deep‐learning based segmentation of head and neck tumors in kV images acquired during radiation therapy.

Published in:

Medical Physics, 2023, v. 50, n. 7, p. 4206, doi. 10.1002/mp.16388

By:

Gardner, Mark;
Bouchta, Youssef Ben;
Mylonas, Adam;
Mueller, Marco;
Cheng, Chen;
Chlap, Phillip;
Finnegan, Robert;
Sykes, Jonathan;
Keall, Paul J;
Nguyen, Doan Trang

Publication type:

Article

Mid-treatment changes in intra-tumoural metabolic heterogeneity correlate to outcomes in oropharyngeal squamous cell carcinoma patients.

Published in:

EJNMMI Research, 2025, v. 15, n. 1, p. 1, doi. 10.1186/s13550-025-01226-6

By:

Trada, Yuvnik;
Lee, Mark T.;
Jameson, Michael G.;
Chlap, Phillip;
Keall, Paul;
Moses, Daniel;
Lin, Peter;
Fowler, Allan

Publication type:

Article

Open-source, fully-automated hybrid cardiac substructure segmentation: development and optimisation.

Published in:

Physical & Engineering Sciences in Medicine, 2023, v. 46, n. 1, p. 377, doi. 10.1007/s13246-023-01231-w

By:

Finnegan, Robert N.;
Chin, Vicky;
Chlap, Phillip;
Haidar, Ali;
Otton, James;
Dowling, Jason;
Thwaites, David I.;
Vinod, Shalini K.;
Delaney, Geoff P.;
Holloway, Lois

Publication type:

Article

A review of medical image data augmentation techniques for deep learning applications.

Published in:

Journal of Medical Imaging & Radiation Oncology, 2021, v. 65, n. 5, p. 545, doi. 10.1111/1754-9485.13261

By:

Chlap, Phillip;
Min, Hang;
Vandenberg, Nym;
Dowling, Jason;
Holloway, Lois;
Haworth, Annette

Publication type:

Article

Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach.

Published in:

Cancers, 2023, v. 15, n. 3, p. 564, doi. 10.3390/cancers15030564

By:

Haidar, Ali;
Field, Matthew;
Batumalai, Vikneswary;
Cloak, Kirrily;
Al Mouiee, Daniel;
Chlap, Phillip;
Huang, Xiaoshui;
Chin, Vicky;
Aly, Farhannah;
Carolan, Martin;
Sykes, Jonathan;
Vinod, Shalini K.;
Delaney, Geoffrey P.;
Holloway, Lois

Publication type:

Article

Repeatability and reproducibility of magnetic resonance imaging-based radiomic features in rectal cancer.

Published in:

Journal of Medical Imaging, 2022, v. 9, n. 4, p. 44005, doi. 10.1117/1.JMI.9.4.044005

By:

Rai, Robba;
Barton, Michael B.;
Chlap, Phillip;
Liney, Gary;
Brink, Carsten;
Vinod, Shalini;
Heinke, Monique;
Trada, Yuvnik;
Holloway, Lois C.

Publication type:

Article

Assessment of intrafraction motion and its dosimetric impact on prostate radiotherapy using an in-house developed position monitoring system.

Published in:

Frontiers in Oncology, 2023, p. 1, doi. 10.3389/fonc.2023.1082391

By:

Arumugam, Sankar;
Young, Tony;
Do, Viet;
Chlap, Phillip;
Tawfik, Christine;
Udovitch, Mark;
Wong, Karen;
Sidhom, Mark

Publication type:

Article