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Frontiers in Neuroinformatics|May 7, 2019
A Python Code for Simulating Single Tactile Receptors and the Spiking Responses of Their AfferentsQiangqiang Ouyang, Juan Wu, Zhiyu Shao, et al.
IEEE Transactions on Bio-Medical Engineering|August 4, 2020
A Simplified Model for Simulating Population Responses of Tactile Afferents and Receptors in the SkinQiangqiang Ouyang, Juan Wu, Zhiyu Shao, et al.
Cancer Cell International|July 21, 2024
Machine learning models for predicting of PD-1 treatment efficacy in Pan-cancer patients based on routine hematologic and biochemical parametersWenjian Yang, Cui Chen, Qiangqiang Ouyang, et al.
Biosensors & Bioelectronics|April 16, 2022
Multi-labeled neural network model for automatically processing cardiomyocyte mechanical beating signals in drug assessmentQiangqiang Ouyang, Wenjian Yang, Yue Wu, et al.
IEEE Transactions on Bio-Medical Engineering|April 27, 2021
Bio-Inspired Haptic Feedback for Artificial Palpation in Robotic SurgeryQiangqiang Ouyang, Juan Wu, Songping Sun, et al.
Biosensors & Bioelectronics|August 16, 2025
A smart finger for robotic tactile sensing of surface/subsurface patterns based on a high-density piezoresistive sensor arrayShaoyi Wang, Xiaoying Wang, Ziming Gao, et al.
ACS Applied Materials & Interfaces|October 28, 2024
Artificial Tactile Sensory Finger for Contact Pattern Identification Based on High Spatiotemporal Piezoresistive Sensor ArrayQiangqiang Ouyang, Xiaoying Wang, Shaoyi Wang, et al.
Biosensors|February 26, 2026
A Deep-Learning-Enhanced Ultrasonic Biosensing System for Artifact Suppression in Sow Pregnancy DiagnosisXiaoying Wang, Jundong Wang, Ziming Gao, et al.
Biosensors & Bioelectronics|December 10, 2023
Machine learning-coupled tactile recognition with high spatiotemporal resolution based on cross-striped nanocarbon piezoresistive sensor arrayQiangqiang Ouyang, Chuanjie Yao, Houhua Chen, et al.
Biosensors & Bioelectronics|December 1, 2022
A biosensing system employing nonlinear dynamic analysis-assisted neural network for drug-induced cardiotoxicity assessmentWenjian Yang, Qiangqiang Ouyang, Zhijing Zhu, et al.
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