Lois Holloway

According to our database, Lois Holloway authored at least 13 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A neural network-based vertical federated learning framework with server integration.

Amir Anees, Matthew Field, Lois Holloway

Eng. Appl. Artif. Intell., 2024

Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data.

Ali Haidar, Daniel Al Mouiee, Farhannah Aly, David I. Thwaites, Lois Holloway

CoRR, 2024

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, Kirsty Wiltshire, Sarah Keats, Andrew Kneebone, Annette Haworth, Martin A. Ebert, Shalini K. Vinod, Lois Holloway

Comput. Medical Imaging Graph., 2024

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

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

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

2021

PSPSO: A package for parameters selection using particle swarm optimization.

Ali Haidar, Matthew Field, Jonathan Sykes, Martin Carolan, Lois Holloway

SoftwareX, 2021

2020

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

Xiaoshui Huang, Fujin Zhu, Lois Holloway, Ali Haidar

CoRR, 2020

2019

Using Machine Learning Applied to Radiomic Image Features for Segmenting Tumour Structures.

Henry Clifton, Alanna Vial, Andrew Miller, Christian Ritz, Matthew Field, Lois Holloway, Montserrat Ros, Martin Carolan, David Stirling

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

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

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

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2015

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, Jacqueline Veera, Shalini K. Vinod, Gary Liney, Peter B. Greer, Jason Dowling

Artif. Intell. Medicine, 2015

2013

A Survey of Cervix Segmentation Methods in Magnetic Resonance Images.

Soumya Ghose, Lois Holloway, Karen Lim, Philip Chan, Jacqueline Veera, Shalini K. Vinod, Gary Liney, Peter B. Greer, Jason Dowling

Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013