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Möller, Knut (297)
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2021
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Keywords
Electrical impedance tomography
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Mechanical ventilation
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Parameter identification
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Respiratory mechanics
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ARDS
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Lung mechanics
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Acute respiratory distress syndrome
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Convolutional neural network (CNN)
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Cystic fibrosis
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Title
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Neural Network Classification of Surgical Tools in Gynecological Videos
(2022)
Abdulbaki Alshirbaji, Tamer
;
Jalal, Nour A.
;
Docherty, Paul D.
;
Neumuth, Thomas
;
Möller, Knut
Assessing Generalisation Capabilities of CNN Models for Surgical Tool Classification
(2021)
Abdulbaki Alshirbaji, Tamer
;
Jalal, Nour A.
;
Docherty, Paul D.
;
Neumuth, Thomas
;
Möller, Knut
A comparative evaluation of spatial pooling methods for surgical tool detection
(2023)
Abdulbaki Alshirbaji, Tamer
;
Jalal, Nour A.
;
Docherty, Paul D.
;
Neumuth, Thomas
;
Möller, Knut
Robustness of Convolutional Neural Networks for Surgical Tool Classification in Laparoscopic Videos from Multiple Sources and of Multiple Types: A Systematic Evaluation
(2022)
Abdulbaki Alshirbaji, Tamer
;
Jalal, Nour A.
;
Docherty, Paul D.
;
Neumuth, Thomas
;
Möller, Knut
A deep learning spatial-temporal framework for detecting surgical tools in laparoscopic videos
(2021)
Abdulbaki Alshirbaji, Tamer
;
Jalal, Nour A.
;
Docherty, Paul D.
;
Neumuth, Thomas
;
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
Data Recording Framework for Physiological and Surgical Data in Operating Theatres
(2020)
Abdulbaki Alshirbaji, Tamer
;
Jalal, Nour A.
;
Möller, Knut
Prediction of Surgery Duration from Laparoscopic Videos using Recurrent neural network
(2019)
Abdulbaki Alshirbaji, Tamer
;
Jalal, Nour A.
;
Möller, Knut
Surgical Tool Classification in Laparoscopic Videos Using Convolutional Neural Network
(2018)
Abdulbaki Alshirbaji, Tamer
;
Jalal, Nour A.
;
Möller, Knut
Classifying smoke in laparoscopic videos using SVM
(2017)
Abdulbaki Alshirbaji, Tamer
;
Jalal, Nour A.
;
Mündermann, Lars
;
Möller, Knut
1
to
10