Ping Lu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 13

Top Topics

Motion Analysis

Supervised Learning

Top Venues

IEEE Trans. Biomed. Eng.

M&Ms and EMIDEC/STACOM@MICCAI

Publications

Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
A brief review of hypernetworks in deep learning. Artif. Intell. Rev. 57 (9) (2024)
Huiqi Lu, Ping Lu, Jane E. Hirst, Lucy Mackillop, David A. Clifton
A Stacked Long Short-Term Memory Approach for Predictive Blood Glucose Monitoring in Women with Gestational Diabetes Mellitus. Sensors 23 (18) (2023)
Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
A Brief Review of Hypernetworks in Deep Learning. CoRR (2023)
Ping Lu, Andrew P. Creagh, Huiqi Y. Lu, Ho Bich Hai, Louise Thwaites, David A. Clifton
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. Sensors 23 (18) (2023)
Ping Lu, Chenyang Wang, Jannis Hagenah, Shadi Ghiasi, VITAL Consortium, Tingting Zhu, Louise Thwaites, David A. Clifton
Improving Classification of Tetanus Severity for Patients in Low-Middle Income Countries Wearing ECG Sensors by Using a CNN-Transformer Network. IEEE Trans. Biomed. Eng. 70 (4) (2023)
Shadi Ghiasi, Tingting Zhu, Ping Lu, Jannis Hagenah, Phan Nguyen Quoc Khanh, Nguyen Van Hao, VITAL Consortium, Louise Thwaites, David A. Clifton
Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries. Sensors 22 (10) (2022)
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
Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing. Sensors 22 (17) (2022)
Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble
Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis. ISBI (2021)
Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble
Multiscale Graph Convolutional Networks for Cardiac Motion Analysis. FIMH (2021)
Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble
Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Ping Lu, Huaqi Qiu, Chen Qin, Wenjia Bai, Daniel Rueckert, J. Alison Noble
Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features. MIUA (2020)
Ping Lu, Livia Barazzetti, Vimal Chandran, Kate A. Gavaghan, Stefan Weber, Nicolas Gerber, Mauricio Reyes
Highly Accurate Facial Nerve Segmentation Refinement From CBCT/CT Imaging Using a Super-Resolution Classification Approach. IEEE Trans. Biomed. Eng. 65 (1) (2018)
Ping Lu, Livia Barazzetti, Vimal Chandran, Kate A. Gavaghan, Stefan Weber, Nicolas Gerber, Mauricio Reyes
Super-Resolution Classification Improves Facial Nerve Segmentation from CBCT Imaging. CURAC (2016)
Ping Lu, Livia Barazzetti, Vimal Chandran, Kate A. Gavaghan, Stefan Weber, Nicolas Gerber, Mauricio Reyes
Facial nerve image enhancement from CBCT using supervised learning technique. EMBC (2015)