Ping Lu

According to our database, Ping Lu authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A brief review of hypernetworks in deep learning.

Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton

Artif. Intell. Rev., September, 2024

2023

A Stacked Long Short-Term Memory Approach for Predictive Blood Glucose Monitoring in Women with Gestational Diabetes Mellitus.

Huiqi Y. Lu, Ping Lu, Jane E. Hirst, Lucy Mackillop, David A. Clifton

Sensors, September, 2023

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.

Ping Lu, Andrew P. Creagh, Huiqi Y. Lu, Ho Bich Hai, Louise Thwaites, David A. Clifton

Sensors, September, 2023

Improving Classification of Tetanus Severity for Patients in Low-Middle Income Countries Wearing ECG Sensors by Using a CNN-Transformer Network.

Ping Lu, Chenyang Wang, Jannis Hagenah, Shadi Ghiasi, VITAL Consortium, Tingting Zhu, Louise Thwaites, David A. Clifton

IEEE Trans. Biomed. Eng., April, 2023

2022

Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing.

Ping Lu, Shadi Ghiasi, Jannis Hagenah, Ho Bich Hai, Nguyen Van Hao, Phan Nguyen Quoc Khanh, Le Dinh Van Khoa, VITAL Consortium, Louise Thwaites, David A. Clifton, Tingting Zhu

Sensors, 2022

Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries.

Shadi Ghiasi, Tingting Zhu, Ping Lu, Jannis Hagenah, Phan Nguyen Quoc Khanh, Nguyen Van Hao, VITAL Consortium, Louise Thwaites, David A. Clifton

Sensors, 2022

2021

Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis.

Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Multiscale Graph Convolutional Networks for Cardiac Motion Analysis.

Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble

Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2020

Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features.

Ping Lu, Huaqi Qiu, Chen Qin, Wenjia Bai, Daniel Rueckert, J. Alison Noble

Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions.

Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

2018

Highly Accurate Facial Nerve Segmentation Refinement From CBCT/CT Imaging Using a Super-Resolution Classification Approach.

Ping Lu, Livia Barazzetti, Vimal Chandran, Kate A. Gavaghan, Stefan Weber, Nicolas Gerber, Mauricio Reyes

IEEE Trans. Biomed. Eng., 2018

2016

Super-Resolution Classification Improves Facial Nerve Segmentation from CBCT Imaging.

Ping Lu, Livia Barazzetti, Vimal Chandran, Kate A. Gavaghan, Stefan Weber, Nicolas Gerber, Mauricio Reyes

Proceedings of the 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, September 29, 2016

2015

Facial nerve image enhancement from CBCT using supervised learning technique.

Ping Lu, Livia Barazzetti, Vimal Chandran, Kate A. Gavaghan, Stefan Weber, Nicolas Gerber, Mauricio Reyes

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015