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David A. Clifton

Observed names: Clifton, David, Clifton, David A., D A Clifton, D.A. Clifton, DA Clifton, David A Clifton, David Clifton
OpenAlex ID: A5112363864
Large Language Models in Mental Health Care: A Scoping Review
2025 · Yining Hua, Fenglin Liu, et al. · Current Treatment Options in Psychiatry · 220
A brief review of hypernetworks in deep learning
2024 · Vinod Kumar Chauhan, Jiandong Zhou, et al. · Artificial Intelligence Review · 185
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SARS-CoV-2 infection in Africa: a systematic review and meta-analysis of standardised seroprevalence studies, from January 2020 to December 2021
2022 · HC Lewis, H Ware, et al. · BMJ Global Health · 172
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Achieving affordable critical care in low-income and middle-income countries
2019 · Hugo C Turner, Nguyen Van Hao, et al. · BMJ Global Health · 147
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CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
2020 · Kiyasseh, Dani, Zhu, Tingting, et al. · arXiv (Cornell University) · 122
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Applied Machine Learning for the Prediction of Growth of Abdominal Aortic Aneurysm in Humans
2018 · R. Lee, D. Jarchi, et al. · EJVES Short Reports · 96
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Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
2023 · You, Chenyu, Dai, Weicheng, et al. · PubMed · 91
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Machine learning to predict the source of campylobacteriosis using whole genome data
2021 · Nicolas Arning, Samuel K. Sheppard, et al. · PLoS Genetics · 59
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A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions
2021 · Dani Kiyasseh, Tingting Zhu, et al. · Nature Communications · 57
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Independent external validation of the QRISK3 cardiovascular disease risk prediction model using UK Biobank
2023 · Ruth E. Parsons, Xiaonan Liu, et al. · Heart · 56
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Comparing different ways of calculating sample size for two independent means: A worked example
2018 · Lei Clifton, Jacqueline Birks, et al. · Contemporary Clinical Trials Communications · 52
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Bayesian Extreme Value Statistics for Novelty Detection in Gas-Turbine Engines
2008 · David A. Clifton, Lionel Tarassenko, et al. · IEEE Aerospace Conference (AERO) · 42
Validation of Instantaneous Respiratory Rate Using Reflectance PPG from Different Body Positions
2018 · Delaram Jarchi, Dario Salvi, et al. · Sensors · 39
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An Extreme Function Theory for Novelty Detection
2012 · David A. Clifton, Lei Clifton, et al. · IEEE Journal of Selected Topics in Signal Processing · 36
Sepsis Mortality Prediction Using Wearable Monitoring in Low–Middle Income Countries
2022 · Shadi Ghiasi, Tingting Zhu, et al. · Sensors · 35
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Improving Classification of Tetanus Severity for Patients in Low-Middle Income Countries Wearing ECG Sensors by Using a CNN-Transformer Network
2022 · Ping Lu, Chenyang Wang, et al. · IEEE Transactions on Biomedical Engineering · 30
Awake Prone Positioning in Adults With COVID-19
2025 · Jian Luo, Ivan Pavlov, et al. · JAMA Internal Medicine · 26
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Machine Learning to Evaluate Impacts of Flood Protection in Bangladesh, 1983–2014
2020 · Achut Manandhar, Alex Fischer, et al. · Water · 24
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CC-SAM: SAM with Cross-Feature Attention and Context for Ultrasound Image Segmentation
2024 · Shreyank N. Gowda, David A. Clifton · Lecture notes in computer science · 20
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Vital sign monitoring using wearable devices in a Vietnamese intensive care unit
2021 · Hoang Minh Tu Van, Nguyen Van Hao, et al. · BMJ Innovations · 20
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Towards a micro-blog platform for sensing and easing adolescent psychological pressures
2013 · Yuanyuan Xue, Qi Li, et al. · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · 20
Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks
2024 · Hua, Yining, Na, Hongbin, et al. · arXiv (Cornell University) · 15
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Clinical evaluation of AI-assisted muscle ultrasound for monitoring muscle wasting in ICU patients
2024 · Phung Tran Huy Nhat, Nguyen Van Hao, et al. · Scientific Reports · 15
Computer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data
2024 · Liane S. Canas, Trinh H. K. Dong, et al. · Scientific Reports · 14
Wearable remote monitoring for patients with COVID-19 in low-resource settings: case study
2021 · Nguyen Van Vinh Chau, Ho Bich Hai, et al. · BMJ Innovations · 14
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Works count: 64
Citation count: 1,773
H-index: 20
I10-index: 30
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