L. Holloway

发表

Variability of gross tumour volume delineation: MRI and CT based tumour and lymph node delineation for Lung radiotherapy.

D. Moses, Shivani Kumar, S. Vinod, 2021, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Optimal and actual rates of Stereotactic Ablative Body Radiotherapy (SABR) utilisation for primary lung cancer in Australia

L. Holloway, P. Chlap, V. Batumalai, 2022, Clinical and translational radiation oncology.

Repeatability of radiotherapy dose-painting prescriptions derived from a multiparametric magnetic resonance imaging model of glioblastoma infiltration

P. Keall, N. Verburg, P. C. de Witt Hamer, 2022, Physics and imaging in radiation oncology.

Integration of Deep and Ensemble Learning for Detecting COVID-19 in Computed Tomography Images

L. Holloway, Ali Haidar, 2020 .

Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients

C. Hansen, C. Brink, Mark T Lee, 2022, Clinical and translational radiation oncology.

Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study

M. Eble, A. Dekker, D. Thwaites, 2022, Diagnostic and Prognostic Research.

Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer

M. Field, M. Carolan, D. Thwaites, 2022, J. Biomed. Informatics.

Causal relation between heart irradiation and survival of lung cancer patients after radiotherapy.

M. V. van Herk, C. Faivre-Finn, G. Price, 2022, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Larynx cancer survival model developed through open-source federated learning.

G. Price, C. Brink, J. Johansen, 2022, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

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

C. Brink, R. Rai, S. Vinod, 2022, Journal of medical imaging.

Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach

M. Carolan, S. Vinod, J. Sykes, 2022, medRxiv.

PDCP: A Set of Tools for Extracting, Transforming, and Loading Radiotherapy Data from the Orthanc Research PACS

L. Holloway, A. Haidar, F. Aly, 2022, Software.

The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance

M. Field, D. Thwaites, S. Vinod, 2017, Health Information Science and Systems.

Results of the Australasian (Trans‐Tasman Oncology Group) radiotherapy benchmarking exercise in preparation for participation in the PORTEC‐3 trial

P. Metcalfe, L. Mileshkin, M. Bailey, 2016, Journal of medical imaging and radiation oncology.

Machine learning applications in radiation oncology

M. Field, N. Hardcastle, M. Jameson, 2021, Physics and imaging in radiation oncology.

Implementation of the Australian Computer‐Assisted Theragnostics (AusCAT) network for radiation oncology data extraction, reporting and distributed learning

M. Field, A. Dekker, M. Carolan, 2021, Journal of medical imaging and radiation oncology.

A statistical, voxelised model of prostate cancer for biologically optimised radiotherapy

D. Murphy, J. Sykes, J. Dowling, 2022, Physics and imaging in radiation oncology.

Deep learning for segmentation in radiation therapy planning: a review

M. Field, S. Vinod, A. Sowmya, 2021, Journal of medical imaging and radiation oncology.

Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images.

A. Sowmya, G. Samarasinghe, M. Jameson, 2021, Magnetic resonance imaging.

Mid-treatment Fluorodeoxyglucose Positron Emission Tomography in Human Papillomavirus-related Oropharyngeal Squamous Cell Carcinoma Treated with Primary Radiotherapy: Nodal Metabolic Response Rate can Predict Treatment Outcomes.

V. Bray, P. Lin, A. Fowler, 2021, Clinical oncology (Royal College of Radiologists (Great Britain)).

Outcome prediction models incorporating clinical variables for Head and Neck Squamous cell Carcinoma: a systematic review of methodological conduct and risk of bias.

S. Vinod, L. Holloway, P. Sundaresan, 2023, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Open-source distributed learning validation for a larynx cancer survival model following radiotherapy.

G. Price, D. Thwaites, C. Brink, 2022, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

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

J. Dowling, Hang Min, L. Holloway, 2021, Journal of medical imaging and radiation oncology.

Prognostic and predictive values of baseline and mid-treatment FDG-PET in oropharyngeal carcinoma treated with primary definitive (chemo)radiation and impact of HPV status: review of current literature and emerging roles.

L. Holloway, Peter Lin Fracp, Myo Min Franzcr, 2023, Radiotherapy and Oncology.

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

D. Thwaites, J. Dowling, J. Otton, 2023, Physical and Engineering Sciences in Medicine.

Automated detection, delineation and quantification of whole-body bone metastasis using FDG-PET/CT images

M. Carolan, P. Metcalfe, M. Barton, 2023, Physical and Engineering Sciences in Medicine.

Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings

Arcot Sowmya, Jason Dowling, Shalini Vinod, 2022, Artif. Intell. Medicine.

Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning pdf

Ali Haidar, Fujin Zhu, Xiaoshui Huang, 2020, ArXiv.

Artificial intelligence in medical imaging and radiation oncology: Opportunities and challenges

D. Moses, D. Thwaites, L. Holloway, 2021, Journal of medical imaging and radiation oncology.

PSPSO: A package for parameters selection using particle swarm optimization

Matthew Field, Martin Carolan, Jonathan Sykes, 2021, SoftwareX.

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

P. Keall, D. Moses, M. Jameson, 2023, European Radiology.

Artificial intelligence (AI) will enable improved diagnosis and treatment outcomes

C. Baldock, E. Bezak, L. Holloway, 2021, Physical and Engineering Sciences in Medicine.