Lois Holloway - RankMe

17 papers Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Development of federated learning neural networks with combined horizontal and vertical data partitioning. Appl. Soft Comput. Amir Anees, Matthew Field, Lois Holloway
2025	—	`conf`	Property Graph for Exploring Similarities in Real-World Oncology Standards. MedInfo Ivy Cerelia Valerie, Lois Holloway, Timothy Churches, Georgina Kennedy
2025	J	`jnl`	PyDicer: An open-source python library for conversion and analysis of radiotherapy DICOM data. SoftwareX Phillip Chlap, Daniel Al Mouiee, Robert N. Finnegan, Janet Cui, Vicky Chin, Shrikant Deshpande, Lois Holloway
2024	J	`jnl`	A neural network-based vertical federated learning framework with server integration. Eng. Appl. Artif. Intell. Amir Anees, Matthew Field, Lois Holloway
2024	J	`jnl`	Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data. CoRR Ali Haidar, Daniel Al Mouiee, Farhannah Aly, David I. Thwaites, Lois Holloway
2024	J	`jnl`	Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets. Comput. Medical Imaging Graph. 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
2022	J	`jnl`	Distributed learning optimisation of Cox models can leak patient data: Risks and solutions. CoRR Carsten Brink, Christian Rønn Hansen, Matthew Field, Gareth Price, David I. Thwaites, Nis Sarup, Uffe Bernchou, Lois Holloway
2022	J	`jnl`	Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer. J. Biomed. Informatics Matthew Field, David I. Thwaites, Martin Carolan, Geoff P. Delaney, Joerg Lehmann, Jonathan Sykes, Shalini Vinod, Lois Holloway
2022	J	`jnl`	PDCP: A Set of Tools for Extracting, Transforming, and Loading Radiotherapy Data from the Orthanc Research PACS. Softw. Ali Haidar, Farhannah Aly, Lois Holloway
2022	J	`jnl`	Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings. Artif. Intell. Medicine Shuchao Pang, Matthew Field, Jason Dowling, Shalini K. Vinod, Lois Holloway, Arcot Sowmya
2021	J	`jnl`	PSPSO: A package for parameters selection using particle swarm optimization. SoftwareX Ali Haidar, Matthew Field, Jonathan Sykes, Martin Carolan, Lois Holloway
2020	J	`jnl`	Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning. CoRR Xiaoshui Huang, Fujin Zhu, Lois Holloway, Ali Haidar
2019	—	`conf`	Using Machine Learning Applied to Radiomic Image Features for Segmenting Tumour Structures. APSIPA Henry Clifton, Alanna Vial, Andrew Miller, Christian Ritz, Matthew Field, Lois Holloway, Montserrat Ros, Martin Carolan, David Stirling
2017	—	`conf`	Assessing the prognostic impact of 3D CT image tumour rind texture features on lung cancer survival modelling. GlobalSIP Alanna Vial, David Stirling, Matthew Field, Montserrat Ros, Christian H. Ritz, Martin Carolan, Lois Holloway, Alexis A. Miller
2017	J	`jnl`	The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance. Health Inf. Sci. Syst. Mohamed S. Barakat, Matthew Field, Aditya Ghose, David Stirling, Lois Holloway, Shalini K. Vinod, Andre Dekker, David I. Thwaites
2015	J	`jnl`	A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning. Artif. Intell. Medicine Soumya Ghose, Lois Holloway, Karen Lim, Philip Chan, Jacqueline Veera, Shalini K. Vinod, Gary Liney, Peter B. Greer, Jason Dowling
2013	—	`conf`	A Survey of Cervix Segmentation Methods in Magnetic Resonance Images. Abdominal Imaging Soumya Ghose, Lois Holloway, Karen Lim, Philip Chan, Jacqueline Veera, Shalini K. Vinod, Gary Liney, Peter B. Greer, Jason Dowling