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Lois Holloway
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2020 – today
- 2024
- [j6]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:
Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets. Comput. Medical Imaging Graph. 116: 102403 (2024) - [i3]Ali Haidar, Daniel Al Mouiee, Farhannah Aly, David I. Thwaites, Lois Holloway:
Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data. CoRR abs/2402.08999 (2024) - 2022
- [j5]Shuchao Pang, Matthew Field
, Jason Dowling
, Shalini K. Vinod, Lois Holloway
, Arcot Sowmya:
Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings. Artif. Intell. Medicine 123: 102230 (2022) - [j4]Matthew Field
, David I. Thwaites, Martin Carolan, Geoff P. Delaney
, Joerg Lehmann
, Jonathan Sykes, Shalini Vinod, Lois Holloway:
Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer. J. Biomed. Informatics 134: 104181 (2022) - [i2]Carsten Brink, Christian Rønn Hansen, Matthew Field, Gareth Price, David I. Thwaites, Nis Sarup, Uffe Bernchou, Lois Holloway:
Distributed learning optimisation of Cox models can leak patient data: Risks and solutions. CoRR abs/2204.05856 (2022) - 2021
- [j3]Ali Haidar
, Matthew Field
, Jonathan Sykes, Martin Carolan, Lois Holloway
:
PSPSO: A package for parameters selection using particle swarm optimization. SoftwareX 15: 100706 (2021) - 2020
- [i1]Xiaoshui Huang, Fujin Zhu, Lois Holloway, Ali Haidar:
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning. CoRR abs/2006.05554 (2020)
2010 – 2019
- 2019
- [c3]Henry Clifton, Alanna Vial, Andrew Miller, Christian Ritz, Matthew Field
, Lois Holloway, Montserrat Ros, Martin Carolan, David Stirling:
Using Machine Learning Applied to Radiomic Image Features for Segmenting Tumour Structures. APSIPA 2019: 1981-1988 - 2017
- [j2]Mohamed S. Barakat, Matthew Field
, Aditya Ghose, David Stirling, Lois Holloway, Shalini K. Vinod, Andre Dekker, David I. Thwaites:
The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance. Health Inf. Sci. Syst. 5(1): 16 (2017) - [c2]Alanna Vial, David Stirling, Matthew Field, Montserrat Ros, Christian H. Ritz
, Martin Carolan, Lois Holloway, Alexis A. Miller:
Assessing the prognostic impact of 3D CT image tumour rind texture features on lung cancer survival modelling. GlobalSIP 2017: 735-739 - 2015
- [j1]Soumya Ghose, Lois Holloway
, Karen Lim, Philip Chan, Jacqueline Veera, Shalini K. Vinod
, Gary Liney, Peter B. Greer
, Jason Dowling
:
A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning. Artif. Intell. Medicine 64(2): 75-87 (2015) - 2013
- [c1]Soumya Ghose, Lois Holloway
, Karen Lim, Philip Chan, Jacqueline Veera, Shalini K. Vinod
, Gary Liney, Peter B. Greer
, Jason Dowling
:
A Survey of Cervix Segmentation Methods in Magnetic Resonance Images. Abdominal Imaging 2013: 290-298
Coauthor Index
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last updated on 2024-08-05 21:21 CEST by the dblp team
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