Machine learning “red dot”: open-source, cloud, deep convolutional neural networks in chest radiograph binary normality classification EJ Yates, LC Yates, H Harvey Clinical radiology 73 (9), 827-831, 2018 | 68 | 2018 |
New and emerging technologies for the diagnosis and monitoring of chronic obstructive pulmonary disease A horizon scanning review LC Dixon, DJ Ward, J Smith, S Holmes, R Mahadeva Chronic Respiratory Disease, 1479972316636994, 2016 | 39 | 2016 |
PageRank as a method to rank biomedical literature by importance EJ Yates, LC Dixon Source Code for Biology and Medicine 10 (1), 1, 2015 | 36 | 2015 |
Risk factors to differentiate between benign proximal biliary strictures and perihilar cholangiocarcinoma F Tirotta, F Giovinazzo, J Hodson, L Yates, D Tan, M Salsano, D Baker, ... HPB 22 (12), 1753-1758, 2020 | 7 | 2020 |
Re: machine learning “red dot”: open-source, cloud, deep convolutional neural networks in chest radiograph binary normality classification. A reply EJ Yates, LC Yates, H Harvey Clinical Radiology 74 (2), 162, 2019 | 2 | 2019 |
Thoracic aortic aneurysm repair using the elephant trunk technique and associated complications LC Yates, A Malik, D Quinn, J Mascaro, B Holloway Clinical Radiology 77 (11), 803-809, 2022 | | 2022 |
Multivariable analysis of predictors of malignancy in patients presenting with perihilar strictures F Tirotta, F Giovinazzo, L Yates, D Tan, M Salsano, R Sundareyan, ... HPB 22, S302-S303, 2020 | | 2020 |
New and emerging technologies for the diagnosis and monitoring of Chronic Obstructive Pulmonary Disease (COPD) L Dixon, D Ward, J Smith NIHR Horizon Scanning Research and Intelligence Centre, University of …, 2015 | | 2015 |
What's on the horizon for COPD diagnostic and monitoring technologies? L Dixon, D Ward EuroScan, 5, 2015 | | 2015 |
What's on the horizon for COPD diagnosis and monitoring? L Dixon, J Smith, D Ward 2015 PCRS-UK National Primary Care Conference 25, 4, 2015 | | 2015 |
D. Maudgil 801 LC Yates, A Malik, D Quinn, J Mascaro, B Holloway, PC Lyon, ... | | |
Developing machine learning for the detection of chest radiograph abnormalities L Yates | | |