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Author
Möller, Knut (297)
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2021
(38)
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(35)
2017
(28)
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(26)
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Article (peer-reviewed) (297)
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Keywords
Electrical impedance tomography
(50)
Mechanical ventilation
(29)
Parameter identification
(15)
Respiratory mechanics
(10)
ARDS
(8)
Lung mechanics
(8)
Acute respiratory distress syndrome
(7)
Convolutional neural network (CNN)
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Cystic fibrosis
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297
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Title
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Author
Global Inhomogeneity Index Evaluation of a DCT-based EIT Lung Imaging
(2020)
Chen, Rongqing
;
Möller, Knut
Impact of artificial airway resistances on regional ventilation distribution during airway closure
(2020)
März, Melanie
;
Howe, Sarah
;
Laufer, Bernhard
;
Möller, Knut
;
Krüger-Ziolek, Sabine
Data Recording Framework for Physiological and Surgical Data in Operating Theatres
(2020)
Abdulbaki Alshirbaji, Tamer
;
Jalal, Nour A.
;
Möller, Knut
Model-based bone material property identification
(2020)
Wilkie, Jack
;
Docherty, Paul D.
;
Möller, Knut
EIT based intrathoracic pulsatile impedance measurements during apnea: a case study
(2020)
Krüger-Ziolek, Sabine
;
Lovas, Andras
;
Hawchar, Fatime
;
Laufer, Bernhard
;
Möller, Knut
A convolutional neural network with a two-stage LSTM model for tool presence detection in laparoscopic videos
(2020)
Abdulbaki Alshirbaji, Tamer
;
Jalal, Nour A.
;
Möller, Knut
Quantifying misclassification and bias errors due to hierarchical sepsis scores in real-time sepsis diagnosis
(2020)
Parente, Jacquelyn D.
;
Chase, James G.
;
Möller, Knut
;
Shaw, Geoffrey M.
Prediction of lung mechanics throughout recruitment maneuvers in pressure-controlled ventilation
(2020)
Morton, Sophie E.
;
Knopp, Jennifer L.
;
Tawhai, Merryn H.
;
Docherty, Paul D.
;
Heines, Serge J.
;
Bergmans, Dennis C.
;
Möller, Knut
;
Chase, James G.
Optimal mean airway pressure during high-frequency oscillatory ventilation in an experimental model of acute respiratory distress syndrome: EIT-based method
(2020)
Liu, Songqiao
;
Zhao, Zhanqi
;
Tan, Li
;
Wang, Lihui
;
Möller, Knut
;
Frerichs, Inez
;
Yu, Tao
;
Huang, Yingzi
;
Pan, Chun
;
Yang, Yi
;
Qiu, Haibo
Kernel density estimates for sepsis classification
(2020)
Parente, Jacquelyn D.
;
Chase, James G.
;
Möller, Knut
;
Shaw, Geoffrey M.
111
to
120