Joshua Bridge
Publications
2022
Artificial Intelligence to Detect Abnormal Heart Rhythm from Scanned Electrocardiogram Tracings
J Bridge, Lu Fu, Weidong Lin, Yumei Xue, Gregory YH Lip, Yalin Zheng. Journal of Arrhythmia, 2022
View on Wiley
Code on GitHub
Murine models of renal ischaemia reperfusion injury: An opportunity for refinement using non-invasive monitoring methods
R Harwood, J Bridge, L Ressel, L Scarfe, J Sharkey, G Czanner, P Kalra, A Odudu, S Kenny, B Wilm, P Murray. Physiological Reports, 2022
View on Wiley
Development and External Validation of a Mixed-Effects Deep Learning Model to Diagnose COVID-19 from CT Imaging
J Bridge, Yanda Meng, Wenyue Zhu,
Thomas Fitzmaurice, Caroline McCann, Cliff Addison, Manhui Wang, Cristin Merritt,
Stu Franks, Maria Mackey, Steve Messenger, Renrong Sun, Yitian Zhao, Yalin Zheng. medRxiv, 2022
View on medRxiv
Code on GitHub
2021
mGEV: Extension of the GEV Activation to Multiclass Classification
J Bridge, Y Zheng. MIDL, 2021
View on MIDL
Code on GitHub
End-to-End Deep Learning Vector Autoregressive Prognostic Models to Predict Disease Progression with Uneven Time Intervals
J Bridge, S Harding, Y Zheng. Annual Conference on Medical Image Understanding and Analysis, 2021
View on Springer
Code on GitHub
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. International Workshop on Advances in Simplifying Medical Ultrasound, 2021
View on Springer
2020
A systematic review of methodology used in the development of prediction models for future asthma exacerbation
J Bridge, J D Blakey, L J Bonnett. BMC Medical Research Methodology 2020;20;22
View on BMC MRM
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 2020;24:10
View on JBHI
Code on GitHub
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 2020;5:e000569
View on BMJOO
Code on GitHub
2019
Dictionary Learning Informed Deep Neural Network with Application to OCT Images
J Bridge, S Harding, Y Zheng. International Workshop on Ophthalmic Medical Image Analysis, 2019
View on Springer
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. ARVO Imaging in the Eye Conference Abstract, 2019
View on iovs
DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images
J Bridge, S Harding, Y Zheng. International Workshop on Ophthalmic Medical Image Analysis, 2019
View on Springer
Artificial Intelligence to Detect Abnormal Heart Rhythm from Scanned Electrocardiogram Tracings
J Bridge, Lu Fu, Weidong Lin, Yumei Xue, Gregory YH Lip, Yalin Zheng. Journal of Arrhythmia, 2022
View on Wiley Code on GitHub
Murine models of renal ischaemia reperfusion injury: An opportunity for refinement using non-invasive monitoring methods
R Harwood, J Bridge, L Ressel, L Scarfe, J Sharkey, G Czanner, P Kalra, A Odudu, S Kenny, B Wilm, P Murray. Physiological Reports, 2022
View on Wiley
Development and External Validation of a Mixed-Effects Deep Learning Model to Diagnose COVID-19 from CT Imaging
J Bridge, Yanda Meng, Wenyue Zhu, Thomas Fitzmaurice, Caroline McCann, Cliff Addison, Manhui Wang, Cristin Merritt, Stu Franks, Maria Mackey, Steve Messenger, Renrong Sun, Yitian Zhao, Yalin Zheng. medRxiv, 2022
View on medRxiv Code on GitHub
2021
mGEV: Extension of the GEV Activation to Multiclass Classification
J Bridge, Y Zheng. MIDL, 2021
View on MIDL
Code on GitHub
End-to-End Deep Learning Vector Autoregressive Prognostic Models to Predict Disease Progression with Uneven Time Intervals
J Bridge, S Harding, Y Zheng. Annual Conference on Medical Image Understanding and Analysis, 2021
View on Springer
Code on GitHub
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. International Workshop on Advances in Simplifying Medical Ultrasound, 2021
View on Springer
2020
A systematic review of methodology used in the development of prediction models for future asthma exacerbation
J Bridge, J D Blakey, L J Bonnett. BMC Medical Research Methodology 2020;20;22
View on BMC MRM
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 2020;24:10
View on JBHI
Code on GitHub
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 2020;5:e000569
View on BMJOO
Code on GitHub
2019
Dictionary Learning Informed Deep Neural Network with Application to OCT Images
J Bridge, S Harding, Y Zheng. International Workshop on Ophthalmic Medical Image Analysis, 2019
View on Springer
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. ARVO Imaging in the Eye Conference Abstract, 2019
View on iovs
DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images
J Bridge, S Harding, Y Zheng. International Workshop on Ophthalmic Medical Image Analysis, 2019
View on Springer
mGEV: Extension of the GEV Activation to Multiclass Classification
J Bridge, Y Zheng. MIDL, 2021
View on MIDL Code on GitHub
End-to-End Deep Learning Vector Autoregressive Prognostic Models to Predict Disease Progression with Uneven Time Intervals
J Bridge, S Harding, Y Zheng. Annual Conference on Medical Image Understanding and Analysis, 2021
View on Springer Code on GitHub
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. International Workshop on Advances in Simplifying Medical Ultrasound, 2021
View on Springer
2020
A systematic review of methodology used in the development of prediction models for future asthma exacerbation
J Bridge, J D Blakey, L J Bonnett. BMC Medical Research Methodology 2020;20;22
View on BMC MRM
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 2020;24:10
View on JBHI
Code on GitHub
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 2020;5:e000569
View on BMJOO
Code on GitHub
2019
Dictionary Learning Informed Deep Neural Network with Application to OCT Images
J Bridge, S Harding, Y Zheng. International Workshop on Ophthalmic Medical Image Analysis, 2019
View on Springer
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. ARVO Imaging in the Eye Conference Abstract, 2019
View on iovs
DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images
J Bridge, S Harding, Y Zheng. International Workshop on Ophthalmic Medical Image Analysis, 2019
View on Springer
A systematic review of methodology used in the development of prediction models for future asthma exacerbation
J Bridge, J D Blakey, L J Bonnett. BMC Medical Research Methodology 2020;20;22
View on BMC MRM
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 2020;24:10
View on JBHI Code on GitHub
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 2020;5:e000569
View on BMJOO Code on GitHub
2019
Dictionary Learning Informed Deep Neural Network with Application to OCT Images
J Bridge, S Harding, Y Zheng. International Workshop on Ophthalmic Medical Image Analysis, 2019
View on Springer
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. ARVO Imaging in the Eye Conference Abstract, 2019
View on iovs
DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images
J Bridge, S Harding, Y Zheng. International Workshop on Ophthalmic Medical Image Analysis, 2019
View on Springer
Dictionary Learning Informed Deep Neural Network with Application to OCT Images
J Bridge, S Harding, Y Zheng. International Workshop on Ophthalmic Medical Image Analysis, 2019
View on Springer
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. ARVO Imaging in the Eye Conference Abstract, 2019
View on iovs
DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images
J Bridge, S Harding, Y Zheng. International Workshop on Ophthalmic Medical Image Analysis, 2019
View on Springer