| Self-supervised learning for human activity recognition using 700,000 person-days of wearable data H Yuan, S Chan, AP Creagh, C Tong, A Acquah, DA Clifton, A Doherty NPJ digital medicine 7 (1), 91, 2024 | 76 | 2024 |
| Baseline association of motoric cognitive risk syndrome with sustained attention, memory, and global cognition FJ Maguire, I Killane, AP Creagh, O Donoghue, RA Kenny, RB Reilly Journal of the American Medical Directors Association 19 (1), 53-58, 2018 | 54 | 2018 |
| Smartphone-and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis during the Two-Minute Walk Test AP Creagh, C Simillion, A Bourke, A Scotland, F Lipsmeier, C Bernasconi, ... IEEE Journal of Biomedical and Health Informatics, 2020 | 42 | 2020 |
| Smartphone-and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis during the Two-Minute Walk Test AP Creagh, C Simillion, A Bourke, A Scotland, F Lipsmeier, C Bernasconi, ... IEEE Journal of Biomedical and Health Informatics, 2020 | 42 | 2020 |
| Smartphone-based remote assessment of upper extremity function for multiple sclerosis using the Draw a Shape Test AP Creagh, C Simillion, A Scotland, F Lipsmeier, C Bernasconi, ... Physiological measurement 41 (5), 054002, 2020 | 40 | 2020 |
| Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis AP Creagh, V Hamy, H Yuan, G Mertes, R Tomlinson, WH Chen, ... npj Digital Medicine 7 (1), 33, 2024 | 20 | 2024 |
| Synthesizing mixed-type electronic health records using diffusion models T Ceritli, GO Ghosheh, VK Chauhan, T Zhu, AP Creagh, DA Clifton arXiv preprint arXiv:2302.14679, 2023 | 19 | 2023 |
| Development and validation of a machine learning wrist-worn step detection algorithm with deployment in the UK Biobank SR Small, S Chan, R Walmsley, L von Fritsch, A Acquah, G Mertes, ... MedRxiv, 2023 | 18 | 2023 |
| Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones AP Creagh, F Lipsmeier, M Lindemann, M De Vos Scientific Reports 11 (1), 14301, 2021 | 18 | 2021 |
| Smartphone-based continuous mobility monitoring of Parkinsons disease patients reveals impacts of ambulatory bout length on gait features WY Cheng, F Lipsmeier, A Scotland, A Creagh, T Kilchenmann, L Jin, ... 2017 IEEE Life Sciences Conference (LSC), 166-169, 2017 | 16 | 2017 |
| Uncertainties in the analysis of heart rate variability: a systematic review L Lu, T Zhu, D Morelli, A Creagh, Z Liu, J Yang, F Liu, YT Zhang, ... IEEE Reviews in Biomedical Engineering 17, 180-196, 2023 | 14 | 2023 |
| Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones AP Creagh, F Dondelinger, F Lipsmeier, M Lindemann, M De Vos IEEE Open Journal of Engineering in Medicine and Biology 3, 202-210, 2022 | 14 | 2022 |
| Large-scale continuous mobility monitoring of Parkinson’s disease patients using smartphones WY Cheng, F Lipsmeier, A Creigh, A Scotland, T Kilchenmann, L Jin, ... Wireless Mobile Communication and Healthcare: 7th International Conference …, 2018 | 9 | 2018 |
| Mixture of input-output hidden markov models for heterogeneous disease progression modeling T Ceritli, AP Creagh, DA Clifton Workshop on Healthcare AI and COVID-19, 41-53, 2022 | 7 | 2022 |
| 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 P Lu, AP Creagh, HY Lu, HB Hai, VITAL Consortium, L Thwaites, ... Sensors 23 (18), 7705, 2023 | 4 | 2023 |
| Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones OY Chén, F Lipsmeier, H Phan, F Dondelinger, AP Creagh, C Gossens, ... arXiv preprint arXiv:2209.09692, 2022 | 4 | 2022 |
| Interim analysis from FLOODLIGHT: A prospective pilot study to evaluate the feasibility of conducting remote patient monitoring with the use of digital technology in patients … P Mulero, L Midaglia, X Montalban, J Graves, SL Hauser, L Julian, ... 7th Joint ECTRIMS–ACTRIMS Meeting. Paris, France, 25-28, 2017 | 4 | 2017 |
| Self-Supervised Machine Learning to Characterize Step Counts from Wrist-Worn Accelerometers in the UK Biobank SR Small, S Chan, R Walmsley, L von Fritsch, A Acquah, G Mertes, ... Medicine and Science in Sports and Exercise 56 (10), 1945, 2024 | 3 | 2024 |
| Estimating Motoric Cognitive Risk Syndrome in a Nationally Representative Ageing Irish Population F Maguire, I Killane, A Creagh, G Barnett, O Donoghue, RA Kenny, ... Age and Ageing 45, 2016 | 1 | 2016 |
| Examining the links between Domains of Gait and tests of Global Cognition: a Factor Analysis Approach A Creagh, I Killane, F Maguire, R Reilly Age and Aging 45, ii13–ii56, 2016 | 1* | 2016 |