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2020 – today
- 2024
[j5]Andrew P. Creagh
, Valentin Hamy, Hang Yuan, Gert Mertes, Ryan Tomlinson, Wen-Hung Chen, Rachel Williams, Christopher Llop, Christopher Yee, Mei Sheng Duh, Aiden R. Doherty, Luis Garcia-Gancedo, David A. Clifton:
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis. npj Digit. Medicine 7(1) (2024)- [j4]Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, Aidan Acquah, David A. Clifton, Aiden R. Doherty:
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data. npj Digit. Medicine 7(1) (2024) - 2023
- [j3]Ping Lu, Andrew P. Creagh, Huiqi Y. Lu, Ho Bich Hai, Louise Thwaites, David A. Clifton:
2D-WinSpatt-Net: A Dual Spatial Self-Attention Vision Transformer Boosts Classification of Tetanus Severity for Patients Wearing ECG Sensors in Low- and Middle-Income Countries. Sensors 23(18): 7705 (2023) - [j2]Oliver Y. Chén, Florian Lipsmeier, Huy Phan, Frank Dondelinger, Andrew P. Creagh, Christian Gossens, Michael Lindemann, Maarten De Vos:
Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. IEEE J. Biomed. Health Informatics 27(7): 3633-3644 (2023) - [i4]Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, David A. Clifton:
Synthesizing Mixed-type Electronic Health Records using Diffusion Models. CoRR abs/2302.14679 (2023) - 2022
- [c2]Taha Ceritli, Andrew P. Creagh, David A. Clifton:
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. BHI 2022: 1-8 - [c1]Taha Ceritli, Andrew P. Creagh, David A. Clifton:
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. Healthcare AI and COVID-19 Workshop 2022: 41-53 - [i3]Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, David A. Clifton, Aiden R. Doherty:
Self-supervised Learning for Human Activity Recognition Using 700, 000 Person-days of Wearable Data. CoRR abs/2206.02909 (2022) - [i2]Taha Ceritli, Andrew P. Creagh, David A. Clifton:
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. CoRR abs/2207.11846 (2022) - 2021
- [j1]Andrew P. Creagh, Cedric Simillion, Alan K. Bourke, Alf Scotland, Florian Lipsmeier, Corrado Bernasconi, Johan van Beek, Mike Baker, Christian Gossens, Michael Lindemann, Maarten De Vos:
Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test. IEEE J. Biomed. Health Informatics 25(3): 838-849 (2021) - [i1]Andrew P. Creagh, Florian Lipsmeier, Michael Lindemann, Maarten De Vos:
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones. CoRR abs/2103.09171 (2021)
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