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Zhongmin Jin
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2020 – today
- 2024
- [j8]Jianjun Zou, Xiaogang Zhang, Yali Zhang, Zhongmin Jin:
Prediction of medial knee contact force using multisource fusion recurrent neural network and transfer learning. Medical Biol. Eng. Comput. 62(5): 1333-1346 (2024) - 2022
- [j7]Jianjun Zou, Xiaogang Zhang, Yali Zhang, Junyan Li, Zhongmin Jin:
Prediction on the medial knee contact force in patients with knee valgus using transfer learning approaches: Application to rehabilitation gaits. Comput. Biol. Medicine 150: 106099 (2022) - [j6]Yanwei Zhang, Zhenxian Chen, Hongmou Zhao, Dahang Zhao, Xuan Zhang, Xin Ma, Zhongmin Jin:
Comparison of joint load, motions and contact stress and bone-implant interface micromotion of three implant designs for total ankle arthroplasty. Comput. Methods Programs Biomed. 223: 106976 (2022) - 2021
- [j5]Weijian Lin, Qingen Meng, Junyan Li, Zhenxian Chen, Zhongmin Jin:
The effect of highly inhomogeneous biphasic properties on mechanical behaviour of articular cartilage. Comput. Methods Programs Biomed. 206: 106122 (2021)
2010 – 2019
- 2015
- [j4]Marzieh Mostafavizadeh Ardestani, Mehran Moazen, Zhenxian Chen, Jing Zhang, Zhongmin Jin:
A real-time topography of maximum contact pressure distribution at medial tibiofemoral knee implant during gait: Application to knee rehabilitation. Neurocomputing 154: 174-188 (2015) - 2014
- [j3]Marzieh Mostafavizadeh Ardestani, Xuan Zhang, Ling Wang, Qin Lian, Yaxiong Liu, Jiankang He, Di-Chen Li, Zhongmin Jin:
Human lower extremity joint moment prediction: A wavelet neural network approach. Expert Syst. Appl. 41(9): 4422-4433 (2014) - [j2]Marzieh Mostafavizadeh Ardestani, Mehran Moazen, Zhongmin Jin:
Gait modification and optimization using neural network-genetic algorithm approach: Application to knee rehabilitation. Expert Syst. Appl. 41(16): 7466-7477 (2014) - [j1]Marzieh Mostafavizadeh Ardestani, Zhenxian Chen, Ling Wang, Qin Lian, Yaxiong Liu, Jiankang He, Di-Chen Li, Zhongmin Jin:
Feed forward artificial neural network to predict contact force at medial knee joint: Application to gait modification. Neurocomputing 139: 114-129 (2014)
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