| Introducing the GEV activation function for highly unbalanced data to develop COVID-19 diagnostic models J Bridge, Y Meng, Y Zhao, Y Du, M Zhao, R Sun, Y Zheng IEEE journal of Biomedical and Health Informatics 24 (10), 2776-2786, 2020 | 44 | 2020 |
| Transbridge: A lightweight transformer for left ventricle segmentation in echocardiography K Deng, Y Meng, D Gao, J Bridge, Y Shen, G Lip, Y Zhao, Y Zheng Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021 …, 2021 | 40 | 2021 |
| A systematic review of methodology used in the development of prediction models for future asthma exacerbation J Bridge, JD Blakey, LJ Bonnett BMC medical research methodology 20, 1-12, 2020 | 22 | 2020 |
| Development and validation of a novel prognostic model for predicting AMD progression using longitudinal fundus images J Bridge, S Harding, Y Zheng BMJ open ophthalmology 5 (1), e000569, 2020 | 20 | 2020 |
| Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning Y Meng, J Bridge, C Addison, M Wang, C Merritt, S Franks, M Mackey, ... Medical Image Analysis 84, 102722, 2023 | 16 | 2023 |
| Murine models of renal ischemia reperfusion injury: An opportunity for refinement using noninvasive monitoring methods R Harwood, J Bridge, L Ressel, L Scarfe, J Sharkey, G Czanner, PA Kalra, ... Physiological Reports 10 (5), e15211, 2022 | 10 | 2022 |
| Artificial intelligence to detect abnormal heart rhythm from scanned electrocardiogram tracings J Bridge, L Fu, W Lin, Y Xue, GYH Lip, Y Zheng Journal of Arrhythmia 38 (3), 425-431, 2022 | 7 | 2022 |
| Counting with adaptive auxiliary learning Y Meng, J Bridge, M Wei, Y Zhao, Y Qiao, X Yang, X Huang, Y Zheng arXiv preprint arXiv:2203.04061, 2022 | 6 | 2022 |
| Transportation object counting with graph-based adaptive auxiliary learning Y Meng, J Bridge, Y Zhao, M Joddrell, Y Qiao, X Yang, X Huang, Y Zheng IEEE Transactions on Intelligent Transportation Systems 24 (3), 3422-3437, 2022 | 3 | 2022 |
| End-to-end deep learning vector autoregressive prognostic models to predict disease progression with uneven time intervals J Bridge, S Harding, Y Zheng Medical Image Understanding and Analysis: 25th Annual Conference, MIUA 2021 …, 2021 | 3 | 2021 |
| DAISY descriptors combined with deep learning to diagnose retinal disease from high resolution 2D OCT images J Bridge, SP Harding, Y Zheng Medical Image Understanding and Analysis: 23rd Conference, MIUA 2019 …, 2020 | 2 | 2020 |
| Fully automatic localisation of the optic disc using YOLO in colour fundus photographs Y Zheng, Y Zhao, X Chen, D Gao, J Bridge, W Zhu, B Williams Investigative Ophthalmology & Visual Science 60 (11), PB038-PB038, 2019 | 2 | 2019 |
| Development and external validation of a mixed-effects deep learning model to diagnose covid-19 from ct imaging J Bridge, Y Meng, W Zhu, T Fitzmaurice, C McCann, C Addison, M Wang, ... medRxiv, 2022.01. 28.22270005, 2022 | 1 | 2022 |
| Development and external validation of a mixed-effects deep learning model to diagnose COVID-19 from CT imaging J Bridge, Y Meng, W Zhu, T Fitzmaurice, C McCann, C Addison, M Wang, ... Frontiers in medicine 10, 2023 | | 2023 |
| Deep learning prognostic models using longitudinal imaging data with applications to age-related macular degeneration JT Bridge PQDT-Global, 2022 | | 2022 |
| mGEV: Extension of the GEV Activation to Multiclass Classification JT Bridge, Y Zheng Medical Imaging with Deep Learning, 2021 | | 2021 |
| Dictionary Learning Informed Deep Neural Network with Application to OCT Images J Bridge, SP Harding, Y Zhao, Y Zheng International Workshop on Ophthalmic Medical Image Analysis, 1-8, 2019 | | 2019 |
| A Systematic Review of Methodology Used in the Development of Prediction Models for Future Asthma Attack L Bonnett, J Bridge, JD Blakey D36. INNOVATIONS IN RESEARCH METHODS AND EVIDENCE SYNTHESIS, A6224-A6224, 2019 | | 2019 |
| Development and External Validation of a Mixed-Effects Deep Learning Model to Diagnose COVID-19 from CT Imaging (preprint) J Bridge, Y Meng, W Zhu, T Fitzmaurice, C McCann, C Addison, M Wang, ... | | |
Yalin ZhengUniversity of LiverpoolPatvirtintas el. paštas liv.ac.uk
