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Journal Articles
- 2024
[j7]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)- [j6]Amir Anees, Matthew Field, Lois Holloway:
A neural network-based vertical federated learning framework with server integration. Eng. Appl. Artif. Intell. 138: 109276 (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) - 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) - 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) - 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)
Conference and Workshop Papers
- 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
- [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 - 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
Informal and Other Publications
- 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
- [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) - 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)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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