学术成果
论 文
Journal Papers
1.
Q. Pan, H. Zhang, M. Jiang, G. Ning, L. Fang, H. Ge,
Comprehensive breathing variability indices enhance the prediction of extubation failure in
patients on mechanical ventilation.
Computers in Biology and Medicine, 153 (2023) 106459.
2.
X. Feng, D. Wang, Q. Pan, M. Yan, X. Liu, Y. Shen, L. Fang, G. Cai, G. Ning,
Reinforcement Learning Model for Managing Noninvasive Ventilation Switching Policy.
IEEE Journal of Biomedical and Health Informatics, 27 (2023) 4120 - 4130. (Cover Article)
3.
X. Qian, Y. Jiang, J. Jia, W. Shen, Y. Ding, Y. He, P. Xu, Q. Pan, Y. Xu, H. Ge,
PEEP application during mechanical ventilation contributes to fibrosis in the diaphragm.
Respiratory Research, 24 (2023) 46.
4.
Q. Pan, W. Feng, R. Wang, A. Tabuchi, P. Li, B. Nitzsche, L. Fang, W.M. Kuebler, A.R. Pries*, G. Ning*,
Pulsatility damping in the microcirculation: Basic pattern and modulating factors.
Microvasc. Res., 139 (2022) 104259.
5.
Q. Pan, M. Jia, H. Ge*, Z. Zhao*,
Electrical impedance tomography captures heterogeneous lung ventilation that may be
associated with ineffective inspiratory efforts.
Crit. Care, 25 (2021) 203.
6.
Q. Pan, J. Pan, Z. Zhang, L. Fang*, H. Ge*,
Assessment of respiratory system compliance under pressure control ventilation
without an inspiratory pause maneuver.
Physiol. Meas., 42(8) (2021) 08NT01
7.
Pan Q, Zhang L, Jia M, Pan J, Gong Q, Lu Y, Zhang Z, Ge H*, Fang L*,
An interpretable 1D convolutional neural network for detecting patient-ventilator asynchrony in
mechanical ventilation.
Computer Methods and Programs in Biomedicine (Accepted)
8.
Pan Q, Jia MZ, Liu QJ, Zhang LW, Pan J, Lu F, Zhang ZH, Ge HQ*, Fang LP*,
Identifying Patient-Ventilator Asynchrony on a Small Dataset using Image-based Transfer Learning.
Technology and Health Care (Under review)
9.
Zhang L#, Mao K#, Duan K, Fang S, Lu Y, Gong Q, Lu F, Jiang Y, Jiang L, Fang W, Zhou X, Wang J, Fang
L, Ge H*,
and Pan Q*. Detection of patient-ventilator asynchrony from mechanical ventilation waveforms
using a two-layer long short-term memory neural network. Comput Biol Med 120: 103721, 2020.
10.
Zhang Z, Pan Q, Ge H, Xing L, Hong Y, and Chen P.
Deep learning-based clustering robustly identified two classes of sepsis with both prognostic and
predictive values. EBioMedicine 62: 103081, 2020.
11.
Lv XQ, Zhao SJ, Li PL, Fang LP, Ning GM, Pan Q*,
Study of Temporal Pattern of Embryonic Angiogenesis Based on Interpretable Convolutional Neural
Networks,
Chinese Journal of Biomedical Engineering, 39(5): 524-530, 2020. (in Chinese)
12.
Ge H, Zhou JC, Lv F, Zhang J, Yi J, Yang C, Zhang L, Zhou Y, Ren B, Pan Q*, and Zhang Z*.
Cumulative oxygen deficit is a novel predictor for the timing of invasive mechanical ventilation
in COVID-19 patients with respiratory distress. PeerJ 8: e10497, 2020.
13.
Cao P, Li X, Mao K, Lu F, Ning G, Fang L, and Pan Q*.
A novel data augmentation method to enhance deep neural networks for detection of
atrial fibrillation. Biomed Signal Proces 56: 101675, 2020.
14.
Ge H#, Pan Q#, Zhou Y, Xu P, Zhang L, Zhang J, Yi J, Yang C, Zhou Y, Liu L, and Zhang Z.
Lung Mechanics of Mechanically Ventilated Patients With COVID-19: Analytics With High-Granularity
Ventilator Waveform Data. Frontiers in Medicine 7: 2020.
15.
Ge H, Duan K, Wang J, Jiang L, Zhang L, Zhou Y, Fang L, Heunks LMA, Pan Q*, and Zhang Z*.
Risk Factors for Patient-Ventilator Asynchrony and Its Impact on Clinical Outcomes: Analytics
Based on Deep Learning Algorithm. Frontiers in Medicine 7: 597406, 2020.
16.
Lu YF, Lu F, Fang LP, Ge HQ, Pan Q*, Application of Wavelet Multi-scale Characteristics to
Detect Patient-ventilator Asynchrony in Mechanical Ventilation, Journal of Chinese Computer Systems,
41(12): 2677-2682, 2020. (in Chinese)
17.
Cao P, Ye B, Yang L, Lu F, Fang L, Cai G, Su Q, Ning G, and Pan Q*.
Preprocessing Unevenly Sampled RR Interval Signals to Enhance Estimation of
Heart Rate Deceleration and Acceleration Capacities in Discriminating Chronic Heart Failure Patients
from Healthy Controls. Computational and Mathematical Methods in Medicine 2020: 9763826, 2020.
18.
Cao P, Sheng Q, Fang S, Li X, Ning G, and Pan Q*.
Fusion of Multi-Size Candidate Regions Enhances Two-Stage Hippocampus Segmentation.
IEEE Access 8: 63225-63238, 2020.
19.
Wang R, Li P, Pan Q, Li JKJ, Kuebler WM, Pries AR, and Ning G.
Investigation into the diversity in the fractal dimensions of arterioles and venules
in a microvascular network – A quantitative analysis. Microvasc Res 125: 103882, 2019.
20.
Pan Q, Wang RF, Bettina R, Fang LP, Yan J, Cai GL, Kuebler WM, Pries AR, Ning GM,
Pulse wave velocity in the microcirculation reflects both vascular compliance and resistance:
Insights from computational approaches, Microcirculation 25: e12458, 2018.
21.
Pan Q, Yao JL, Wang RF, Cao P, Ning GM, Fang LP. Optimization of the parameters of
microcirculatory structural adaptation model based on improved quantum-behaved
particle swarm optimization algorithm. Journal of Biomedical Engineering, 34(5): 784-789, 2017. (in
Chinese)
22.
Xia J, Zhang S, Cai G, Li L, Pan Q, Yan J, and Ning G.
Adjusted weight voting algorithm for random forests
in handling missing values. Pattern Recognition 69: 52-60, 2017.
23.
Pan Q, Zhou G, Wang R, Yu Y, Li F, Fang L, Yan J, and Ning G.
The degree of heart rate asymmetry is crucial for the validity of the
deceleration and acceleration capacity indices of heart rate: A model-based study. Comput Biol Med
76: 39-49, 2016.
24.
Pan Q, Zhou G, Wang R, Cai G, Yan J, Fang L, and Ning G.
Do the deceleration/acceleration capacities of heart rate reflect cardiac sympathetic or vagal
activity?
A model study. Med Biol Eng Comput 54: 1921-1933, 2016.
25.
Pan Q, Wang RF, Reglin B, Fang L, Pries AR, and Ning G.
Simulation of microcirculatory hemodynamics: estimation of boundary condition using particle swarm
optimization.
Bio-Med Mater Eng 24: 2341-2347, 2014.
26.
Pan Q, Wang RF, Reglin B, Cai GL, Yan J, Pries AR, and Ning GM. A One-Dimensional Mathematical Model
for Studying the Pulsatile Flow in Microvascular Networks. J Biomech Eng-Trans ASME 136: 011009,
2014.
27.
Pan Q, Gong Y, Gong S, Hu Q, Zhang Z, Yan J, and Ning G.
Enhancing the deceleration capacity index of heart rate by modified-phase-rectified signal
averaging.
Med Biol Eng Comput 48: 399-405, 2010.
28.
Pan Q, Wang RF, Reglin B, Yan J, Ning GM, and Pries AR.
Transmission of pulsatility in the microcirculation: Where and how damping occurs? FASEB J 27: 2013.
29.
Wang R, Pan Q, Kuebler WM, Li JKJ, Pries AR, and Ning G.
Modeling of pulsatile flow-dependent nitric oxide regulation in a realistic microvascular network.
Microvasc Res 113: 40-49, 2017.
Conference papers
and abstracts
1.
Ge HQ, Pan Q, Lin L, and Zhang ZH. Driving pressure variation in mechanical ventilation:
Is it associated with ventilaiton associate events? Eur Respir J 56: 2, 2020.
2.
Pan Q, Gao C, Zhou G, Wang R, Yu Y, Fang L, and Ning G.
Controlling the inspiration/expiration ratio benefits the deceleration capacity index of heart rate
in assessing the sympatho-vagal balance. In: 2016 Computing in Cardiology Conference (CinC)2016, p.
17-20.
3.
Pan Q, Wang R, Reglin B, Cai G, Fang L, Pries AR, and Ning G. Is the time lag of
pressure pulses in microcirculation associated to wave propagation? A model study.
In: The 10th World Congress for Microcirculation. Kyoto, Japan: 2015.
专 利
1.
潘清、周宇涵、葛慧青、张浩源、冯伟达、顾立锋、方路平. 基于强化学习的个性化PEEP调节方法. ZL202110226923.9
2.
潘清、赖碧云、宁钢民、方路平. 一种基于U-Net条件生成对抗网络的微血管树生成方法. ZL202110226920.5
3.
潘清、潘杰、葛慧青、张浩源、冯伟达、顾立锋、章灵伟、方路平. 一种压力控制机械通气下肺部准静态顺应性估测方法. ZL202110049428.5
4.
潘清; 贾孟哲; 葛慧青; 章灵伟; 张浩源; 冯伟达; 顾立锋; 方路平. 一种机械通气平台压测量合规性评估方法. ZL202110208037.3
5.
潘清; 章灵伟; 贾孟哲; 葛慧青; 张浩源; 冯伟达; 顾立锋; 方路平. 基于小数据集与卷积神经网络的人机不同步识别方法. ZL202110208054.7
6.
方路平; 陈平; 刘强. 一种基于深度学习和模糊聚类的交通拥堵预测方法. ZL2020107553330
7.
方路平; 叶瑞辉; 董齐芬. 一种基于时空数据融合的犯罪数量预测方法. ZL2020107428595
8.
潘清;陆云飞;葛慧青;章灵伟;龚强;刘其杰;方路平. 基于多尺度小波特征的机械通气无效吸气努力识别方法. ZL2020103711655
9.
方路平,刘学,李心怡,潘清,陆飞. 一种用于帮助聋哑人交流的系统及方法. ZL2020100448136
10.
方路平;汪振杰;李心怡;潘清;陆飞. 一种货架图像翻拍检测方法. ZL2019106809012
11.
方路平; 盛邱煬; 潘清; 李心怡; 曹平. 一种基于深度学习OCR的图书馆图书快速定位方法. ZL2019103265863
12.
方路平; 缪秦峰; 董齐芬; 潘清; 陆飞; 曹平一种基于改进STARMA模型的犯罪预测方法. ZL2019102320083
13.
方路平; 汪振杰; 曹平; 潘清; 盛邱煬; 一种多尺寸货架商品检测方法. ZL201910225401X
14.
潘清; 蒋阿康; 曹平; 方路平; 宁钢民; 一种微血管树结构的人工生成方法. ZL2019101500360
15.
方路平; 盛邱煬; 潘清; 曹平; 汪振杰; 陆飞; 一种基于多尺度融合的血细胞亚型图像分类方法. ZL2018104536887
16.
方路平; 何杭江; 周国民; 汪振杰; 一种基于彩码的门禁管理方法. ZL2018102879365
17.
方路平; 赵沈佳; 潘清; 盛邱煬; 陆飞; 一种用于深度学习评定血管网络发育水平的数据集增强方法. ZL2018102614720
18.
方路平; 林珏伟; 潘清; 盛邱煬; 陆飞; 一种骨龄评测模型减少干扰特征的图像预处理方法及系统. ZL2018102615013
19.
方路平; 毛科栋; 潘清; 汪振杰; 陆飞. 一种基于深度学习模型对心电信号分类的数据预处理方法. ZL2018102614909
20.
潘清, 曹平, 方路平, 高坤, 徐仙明. 一种改进的颅内穿刺导向方法及装置. ZL201510507773.3
21.
方路平, 潘清, 曹平, 洪文杰, 姚家良, 陈晓雷, 郑远. 一种颅内穿刺辅助导向系统. ZL201410052651.5
22.
宁钢民, 潘清, 龚月仙, 严静, 胡其军, 杨桂秋, 龚仕金, 蔡国龙, 张召才. 一种心率减速能力的检测方法及设备. ZL200910098011.7
软 件
1.
潘清, 曹平, 方路平. 微循环血管网络可视化软件. 2016SR155801.
2.
方路平, 曹平, 潘清, 陆飞, 盛邱煬. 智能烹饪厨具的电路控制系统软件. 2018SR046185.
获 奖
1.
2021年第十三届“中行杯”浙江省职业生涯规划大赛创新创意类二等奖
2.
2021年第七届浙江省国际“互联网＋”大学生创新创业大赛铜奖
3.
2020年第六届浙江省国际“互联网＋”大学生创新创业大赛铜奖
4.
2019年浙江省专业学位研究生优秀实践成果（汪振杰，基于深度学习的货架商品目标检测）
5.
2019年第四届解放军总医院-麻省理工学院医学大数据竞赛Datathon三等奖（浙江大学医学院附属邵逸夫医院合作）
6.
2019年中国高校计算机大赛人工智能创意赛一等奖
7.
2015年第10届世界微循环大会，最佳墙报奖
8.
2015年“华为杯”第十届中国研究生电子设计竞赛华东分赛区团队三等奖
Fundings&Collaborations
