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Computers in Biology and Medicine|July 9, 2016
The degree of heart rate asymmetry is crucial for the validity of the deceleration and acceleration capacity indices of heart rate: A model-based studyQing Pan, Gongzhan Zhou, Ruofan Wang, et al.Physiological Measurement|July 9, 2026
Deep Learning-Enabled Robust Regional Lung Function Assessment in Mechanically Ventilated AECOPD Patients Using EIT ParametersShuyang Jiang, Liuqing Jiang, Yiyao Chen, et al.Sensors (Basel, Switzerland)|July 2, 2021
Identifying Patient-Ventilator Asynchrony on a Small Dataset Using Image-Based Transfer LearningQing Pan, Mengzhe Jia, Qijie Liu, et al.IEEE Journal of Biomedical and Health Informatics|May 9, 2023
Reinforcement Learning Model for Managing Noninvasive Ventilation Switching PolicyXue Feng, Daoyuan Wang, Qing Pan, et al.Computer Methods and Programs in Biomedicine|April 9, 2021
An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in mechanical ventilationQing Pan, Lingwei Zhang, Mengzhe Jia, et al.Computational and Mathematical Methods in Medicine|April 25, 2020
Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients from Healthy ControlsPing Cao, Bailu Ye, Linghui Yang, et al.Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 25, 2025
Entropy-guided partial annotation for cross-domain rib segmentationYuheng Yang, Kun You, Haoyang He, et al.Microcirculation (New York, N.Y. : 1994)|May 6, 2018
Pulse wave velocity in the microcirculation reflects both vascular compliance and resistance: Insights from computational approachesQing Pan, Ruofan Wang, Bettina Reglin, et al.Physiological Measurement|April 10, 2026
Deep learning based automated assessment of end-inspiratory pause maneuver reliability in invasive mechanical ventilationQing Pan, Haifeng Su, Lingwei Zhang, et al.Computer Methods and Programs in Biomedicine|December 13, 2025
INTELLI-PVA: Informative sample annotation-based contrastive active learning for cross-domain patient-ventilator asynchrony detectionLingwei Zhang, Xue Feng, Fei Lu, et al.Pageof 3