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Li Xie
Li Xie
PhD of Engineering
在 auckland.ac.nz 的电子邮件经过验证
标题
引用次数
引用次数
年份
Heavy-duty omni-directional Mecanum-wheeled robot for autonomous navigation: System development and simulation realization
L Xie, C Scheifele, W Xu, KA Stol
2015 IEEE International Conference on Mechatronics (ICM), 256-261, 2015
552015
Power-minimization and energy-reduction autonomous navigation of an omnidirectional Mecanum robot via the dynamic window approach local trajectory planning
L Xie, C Henkel, K Stol, W Xu
International Journal of Advanced Robotic Systems 15 (1), 1729881418754563, 2018
532018
Experimental validation of energy consumption model for the four-wheeled omnidirectional Mecanum robots for energy-optimal motion control
L Xie, W Herberger, W Xu, KA Stol
2016 IEEE 14th International Workshop on Advanced Motion Control (AMC), 565-572, 2016
262016
Towards implementation of AI in New Zealand national diabetic screening program: Cloud-based, robust, and bespoke
L Xie, S Yang, D Squirrell, E Vaghefi
Plos one 15 (4), e0225015, 2020
222020
THEIA™ development, and testing of artificial intelligence‐based primary triage of diabetic retinopathy screening images in New Zealand
E Vaghefi, S Yang, L Xie, S Hill, O Schmiedel, R Murphy, D Squirrell
Diabetic Medicine 38 (4), e14386, 2021
122021
Energy-optimal motion trajectory of an omni-directional mecanum-wheeled robot via polynomial functions
L Xie, K Stol, W Xu
Robotica 38 (8), 1400-1414, 2020
92020
A multi-centre prospective evaluation of THEIA™ to detect diabetic retinopathy (DR) and diabetic macular oedema (DMO) in the New Zealand screening program
E Vaghefi, S Yang, L Xie, D Han, A Yap, O Schmeidel, J Marshall, ...
Eye, 1-7, 2022
52022
Development and validation of a deep-learning model to predict 10-year atherosclerotic cardiovascular disease risk from retinal images using the UK Biobank and EyePACS 10K datasets
E Vaghefi, D Squirrell, S Yang, S An, L Xie, MK Durbin, H Hou, J Marshall, ...
Cardiovascular Digital Health Journal, 2024
22024
Automation of Macular Degeneration Classification in the AREDS Dataset, Using a Novel Neural Network Design
L Xie, E Vaghefi, S Yang, D Han, J Marshall, D Squirrell
Clinical Ophthalmology, 455-469, 2023
22023
Development and validation of a deep-learning model to predict 10-year ASCVD risk from retinal images using the UK Biobank and EyePACS 10K datasets
E Vaghefi, D Squirrell, S Yang, S An, L Xie, MK Durbin, H Hou, J Marshall, ...
medRxiv, 2023.09. 20.23295870, 2023
22023
A multi-center prospective evaluation of THEIA to detect diabetic retinopathy (DR) and diabetic macular edema (DME) in the New Zealand screening program
E Vaghefi, S Yang, L Xie, D Han, D Squirrell
arXiv preprint arXiv:2106.12979, 2021
22021
Mechatronics Design and Heavy-Duty Omni-Directional Mecanum Mobile Robot for Research Purposes
L Xie, C Hu
UoAA, 55, 2013
22013
A multi-centre prospective trial of THEIAT to detect diabetic retinopathy and diabetic macular oedema in the New Zealand screening program
E Vaghefi, S Yang, L Xie, D Han, A Yap, D Squirrell
CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY 49 (8), 805-806, 2022
12022
Primary grading of diabetic retinopathy from retinal images using a custom designed CNN: The Auckland experience
D Squirrell, S Hill, E Song, L Xie, M Alshaikhi, E Vaghefi
CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY 47, 152-152, 2019
12019
Towards implementation of AI in New Zealand national screening program: Cloud-based, Robust, and Bespoke
L Xie, S Yang, D Squirrell, E Vaghefi
bioRxiv, 823260, 2019
12019
Systems and methods for processing of fundus images
SE Vaghefi Rezaei, D Squirrell, S Yang, S An, L Xie
US Patent 11,766,223, 2023
2023
Examination of alternative eGFR definitions on the performance of deep learning models for detection of chronic kidney disease from fundus photographs
S An, E Vaghefi, S Yang, L Xie, D Squirrell
2023
Automating the diagnosis of advanced age-related macular degeneration and high risk intermediate age-related macular degeneration, based on the Age-Related Eye Disease Study …
E Vaghefi, L Xie, S Yang, D Han, D Squirrell
CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY 49 (8), 833-834, 2022
2022
Mechatronics Design and Energy-Efficient Navigation of a Heavy-Duty Omni-Directional Mecanum Autonomous Mobile Robot
L Xie
PhD Thesis-University of Auckland, 2018
2018
Leveraging Well-Established Deep Feature Extractors and Machine Learning to Quantitatively Examine How Models Predict Chronic Kidney Disease Prediction from Fundus Photographs
S An, E Vaghefi, L Xie, S Yang, J Marshall, D Squirrell
Available at SSRN 4682758, 0
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