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ORCIDPing Lu 0003
Person information
- affiliation: University of Bern, Institute for Surgical Technology and Biomechanics, Switzerland
Other persons with the same name
- Ping Lu — disambiguation page
- Ping Lu 0001 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China
- Ping Lu 0002
![[0000-0002-0111-0573]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0111-0573")
— Lund University, Department of Electrical and Information Technology, Sweden (and 1 more) - Ping Lu 0004 — National Research Council Canada, Ottawa, ON, Canada
- Ping Lu 0005 — Beihang University, School of Computer Science and Engineering, SKLSDE, Beijing, China
- Ping Lu 0006 — Huazhong University of Science and Technology, School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics and National Engineering Laboratory for Next Generation Internet Access System, Wuhan, China (and 1 more)
- Ping Lu 0007 — Beihang University, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China (and 1 more)
- Ping Lu 0008 — Zhongxing Telecom Equipment (ZTE) Corporation, Cloud Computing and IT Institute, Big Data Research Institute, Shenzhen, China (and 2 more)
- Ping Lu 0009 — Chinese Academy of Sciences, Institute of Acoustics, ThinkIT Speech Lab, Beijing, China
- Ping Lu 0010 — Tongji University, College of Surveying and Geo-Informatics, Shanghai, China (and 2 more)
- Ping Lu 0011 — San Diego State University, Department of Aerospace Engineering, San Diego, CA, USA (and 1 more)
- Ping Lu 0012 — Xiamen University of Technology, School of Economic and Management, Xiamen, China
- Ping Lu 0013 — Tongji University, Department of Control Science and Engineering, Frontiers Science Center for Intelligent Autonomous Systems, Shanghai, China (and 1 more)
- Ping Lu 0014 — University of Science and Technology of China, National Synchrotron Radiation Laboratory, Hefei, China
- Ping Lu 0015 — OFS Fitel, Avon, CT, USA (and 2 more)
- Ping Lu 0016 — Sichuan University, School of Electronics and Information Engineering, Chengdu, China
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Journal Articles
- 2024
[j7]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): 250 (2024)- 2023
- [j6]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): 7705 (2023) - [j5]Huiqi Y. 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): 7990 (2023) - [j4]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): 1340-1350 (2023) - 2022
- [j3]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): 3866 (2022) - [j2]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): 6554 (2022) - 2018
- [j1]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): 178-188 (2018)
Conference and Workshop Papers
- 2021
- [c6]Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Multiscale Graph Convolutional Networks for Cardiac Motion Analysis. FIMH 2021: 264-272 - [c5]Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis. ISBI 2021: 122-125 - 2020
- [c4]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: 56-65 - [c3]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: 294-306 - 2016
- [c2]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: 143-144 - 2015
- [c1]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: 2964-2967
Informal and Other Publications
- 2023
- [i1]Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton:
A Brief Review of Hypernetworks in Deep Learning. CoRR abs/2306.06955 (2023)
Coauthor Index
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