A Survey of Cervix Segmentation Methods in Magnetic Resonance Images. - Soumya Ghose; Lois Holloway; Karen Lim; Philip Chan 003; Jacqueline Veera; Shalini K. Vinod; Gary Liney; Peter B. Greer; Jason Dowling (Abdominal Imaging, 2013)

A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning. - Soumya Ghose; Lois Holloway; Karen Lim; Philip Chan 003; Jacqueline Veera; Shalini K. Vinod; Gary Liney; Peter B. Greer; Jason Dowling (Artif. Intell. Medicine, 2015)

Assessing the prognostic impact of 3D CT image tumour rind texture features on lung cancer survival modelling. - Alanna Vial; David Stirling; Matthew Field; Montserrat Ros; Christian H. Ritz; Martin Carolan; Lois Holloway; Alexis A. Miller (GlobalSIP, 2017)

The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance. - Mohamed S. Barakat; Matthew Field; Aditya Ghose; David Stirling; Lois Holloway; Shalini K. Vinod; Andre Dekker; David I. Thwaites (Health Inf. Sci. Syst., 2017)

Using Machine Learning Applied to Radiomic Image Features for Segmenting Tumour Structures. - Henry Clifton; Alanna Vial; Andrew Miller; Christian Ritz 001; Matthew Field; Lois Holloway; Montserrat Ros; Martin Carolan; David Stirling (APSIPA, 2019)

Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning. - Xiaoshui Huang; Fujin Zhu; Lois Holloway; Ali Haidar 002 (CoRR, 2020)

PSPSO: A package for parameters selection using particle swarm optimization. - Ali Haidar 002; Matthew Field; Jonathan Sykes; Martin Carolan; Lois Holloway (SoftwareX, 2021)

Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings. - Shuchao Pang; Matthew Field; Jason Dowling; Shalini K. Vinod; Lois Holloway; Arcot Sowmya (Artif. Intell. Medicine, 2022)

Distributed learning optimisation of Cox models can leak patient data: Risks and solutions. - Carsten Brink; Christian Rønn Hansen; Matthew Field; Gareth Price; David I. Thwaites; Nis Sarup; Uffe Bernchou; Lois Holloway (CoRR, 2022)

Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer. - Matthew Field; David I. Thwaites; Martin Carolan; Geoff P. Delaney; Joerg Lehmann; Jonathan Sykes; Shalini Vinod; Lois Holloway (J. Biomed. Informatics, 2022)

Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets. - Phillip Chlap; Hang Min; Jason Dowling; Matthew Field; Kirrily Cloak; Trevor Leong; Mark Lee; Julie Chu; Jennifer Tan; Phillip Tran; Tomas Kron; Mark Sidhom; et al. (Comput. Medical Imaging Graph., 2024)

Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data. - Ali Haidar 002; Daniel Al Mouiee; Farhannah Aly; David I. Thwaites; Lois Holloway (CoRR, 2024)

A neural network-based vertical federated learning framework with server integration. - Amir Anees; Matthew Field; Lois Holloway (Eng. Appl. Artif. Intell., 2024)

PyDicer: An open-source python library for conversion and analysis of radiotherapy DICOM data. - Phillip Chlap; Daniel Al Mouiee; Robert N. Finnegan; Janet Cui; Vicky Chin; Shrikant Deshpande; Lois Holloway (SoftwareX, 2025)