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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.
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.
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