Augmenting the clinical approach to glioblastoma: investigating the potential of automatic segmentation and radiomics to improve patient management

Nathaniel Barry

doi:10.26182/c9k5-8f90

Augmenting the clinical approach to glioblastoma: investigating the potential of automatic segmentation and radiomics to improve patient management

Nathaniel Barry

School of Physics, Mathematics and Computing

Research output: Thesis › Doctoral Thesis

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Rowshan Farzad, Pejman, Supervisor Ebert, Martin, Supervisor Kendrick, Jake, Supervisor Francis, Roslyn, Supervisor Hassan, Mubashar, Supervisor
Thesis sponsors	Australian Government Research Training Program
Award date	1 Oct 2025
DOIs	https://doi.org/10.26182/c9k5-8f90
Publication status	Unpublished - 2025

Embargo information

Embargoed from 30/09/2025 to 15/12/2025. Will be made publicly available on 15/12/2025.

Access to Document

10.26182/c9k5-8f90

THESIS - DOCTOR OF PHILOSOPHY - BARRY Nathaniel David George - 2025
This work is protected by Copyright. You may print or download ONE copy of this document for the purpose of your own non-commercial research or study. Any other use requires permission from the copyright owner. The Copyright Act requires you to attribute any copyright works you quote or paraphrase.

4 Article

An External, Independent Validation of an O-(2-[18F]Fluoroethyl)-l-Tyrosine PET Automatic Segmentation Network on a Single-Center, Prospective Dataset of Patients with Glioblastoma
Barry, N., Kendrick, J., Rowshan Farzad, P., Hassan, M., Francis, R., Bucknell, N., Koh, E.-S., Scott, A. M., Gutsche, R., Galldiks, N., Langen, K.-J. & Lohmann, P., 1 Jun 2025, In: The Journal of Nuclear Medicine. 66, 6, p. 948-953 6 p.
Research output: Contribution to journal › Article › peer-review
Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis
Barry, N., Kendrick, J., Molin, K., Li, S., Rowshanfarzad, P., Hassan, G. M., Dowling, J., Parizel, P. M., Hofman, M. S. & Ebert, M. A., Mar 2025, In: European Radiology. 35, 3, p. 1701-1713 13 p., e240262.
Research output: Contribution to journal › Article › peer-review

Open Access
17 Citations (Scopus)
[18]F-fluoroethyl-L-tyrosine positron emission tomography for radiotherapy target delineation: Results from a Radiation Oncology credentialing program
Barry, N., Koh, E. S., Ebert, M. A., Moore, A., Francis, R. J., Rowshanfarzad, P., Hassan, G. M., Ng, S. P., Back, M., Chua, B., Pinkham, M. B., Pullar, A., Phillips, C., Sia, J., Gorayski, P., Le, H., Gill, S., Croker, J., Bucknell, N. & Bettington, C. & 11 others, Syed, F., Jung, K., Chang, J., Bece, A., Clark, C., Wada, M., Cook, O., Whitehead, A., Rossi, A., Grose, A. & Scott, A. M., Apr 2024, In: Physics and Imaging in Radiation Oncology. 30, 100568.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Citations (Scopus)

Cite this

@phdthesis{5a30d176029c416081a3ba9dfe33447c,

title = "Augmenting the clinical approach to glioblastoma: investigating the potential of automatic segmentation and radiomics to improve patient management",

keywords = "Glioblastoma, artificial intelligence, clinical trials, radiomics",

author = "Nathaniel Barry",

year = "2025",

doi = "10.26182/c9k5-8f90",

language = "English",

school = "The University of Western Australia",

}

Augmenting the clinical approach to glioblastoma: investigating the potential of automatic segmentation and radiomics to improve patient management

Embargo information

Access to Document

Research output

An External, Independent Validation of an O-(2-[18F]Fluoroethyl)-l-Tyrosine PET Automatic Segmentation Network on a Single-Center, Prospective Dataset of Patients with Glioblastoma

Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis

[18]F-fluoroethyl-L-tyrosine positron emission tomography for radiotherapy target delineation: Results from a Radiation Oncology credentialing program

Cite this