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Biomedical Signal Processing and Control
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October 3, 2022
A teacher-student framework with Fourier Transform augmentation for COVID-19 infection segmentation in CT images
Han Chen, Yifan Jiang, Hanseok Ko, et al.
Biomedical Signal Processing and Control
|
August 17, 2023
A Novel Application of Spectrograms with Machine Learning Can Detect Patient Ventilator Dyssynchrony
Ishmael Obeso, Benjamin Yoon, David Ledbetter, et al.
Biomedical Signal Processing and Control
|
June 12, 2023
Automated CT Pancreas Segmentation for Acute Pancreatitis Patients by combining a Novel Object Detection Approach and U-Net
Yang Deng, Lan Lan, Lei You, et al.
Biomedical Signal Processing and Control
|
September 14, 2020
An automated snoring sound classification method based on local dual octal pattern and iterative hybrid feature selector
Turker Tuncer, Erhan Akbal, Sengul Dogan
Biomedical Signal Processing and Control
|
September 1, 2020
Semi-supervised Training Data Selection Improves Seizure Forecasting in Canines with Epilepsy
Mona Nasseri, Vaclav Kremen, Petr Nejedly, et al.
Biomedical Signal Processing and Control
|
July 29, 2020
A robust Fourier-based method to measure pulse pressure variability
Sebastian Acosta, Mubbasheer Ahmed, Suellen M Yin, et al.
Biomedical Signal Processing and Control
|
March 14, 2023
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models
Daniel I Morís, Joaquim de Moura, Pedro J Marcos, et al.
Biomedical Signal Processing and Control
|
March 6, 2023
STG-Net: A COVID-19 prediction network based on multivariate spatio-temporal information
Yucheng Song, Huaiyi Chen, Xiaomeng Song, et al.
Biomedical Signal Processing and Control
|
August 23, 2022
Weakly supervised segmentation of COVID-19 infection with local lesion coherence on CT images
Wanchun Sun, Xin Feng, Jingyao Liu, et al.
Biomedical Signal Processing and Control
|
September 7, 2021
Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs
Mesut Toğaçar, Nedim Muzoğlu, Burhan Ergen, et al.
Page
of 20
Search research articles
Search
Showing results (71-80 of 195) with videos related to
Sort By:
Page
of 20
Biomedical Signal Processing and Control
|
October 3, 2022
A teacher-student framework with Fourier Transform augmentation for COVID-19 infection segmentation in CT images
Han Chen, Yifan Jiang, Hanseok Ko, et al.
Biomedical Signal Processing and Control
|
August 17, 2023
A Novel Application of Spectrograms with Machine Learning Can Detect Patient Ventilator Dyssynchrony
Ishmael Obeso, Benjamin Yoon, David Ledbetter, et al.
Biomedical Signal Processing and Control
|
June 12, 2023
Automated CT Pancreas Segmentation for Acute Pancreatitis Patients by combining a Novel Object Detection Approach and U-Net
Yang Deng, Lan Lan, Lei You, et al.
Biomedical Signal Processing and Control
|
September 14, 2020
An automated snoring sound classification method based on local dual octal pattern and iterative hybrid feature selector
Turker Tuncer, Erhan Akbal, Sengul Dogan
Biomedical Signal Processing and Control
|
September 1, 2020
Semi-supervised Training Data Selection Improves Seizure Forecasting in Canines with Epilepsy
Mona Nasseri, Vaclav Kremen, Petr Nejedly, et al.
Biomedical Signal Processing and Control
|
July 29, 2020
A robust Fourier-based method to measure pulse pressure variability
Sebastian Acosta, Mubbasheer Ahmed, Suellen M Yin, et al.
Biomedical Signal Processing and Control
|
March 14, 2023
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models
Daniel I Morís, Joaquim de Moura, Pedro J Marcos, et al.
Biomedical Signal Processing and Control
|
March 6, 2023
STG-Net: A COVID-19 prediction network based on multivariate spatio-temporal information
Yucheng Song, Huaiyi Chen, Xiaomeng Song, et al.
Biomedical Signal Processing and Control
|
August 23, 2022
Weakly supervised segmentation of COVID-19 infection with local lesion coherence on CT images
Wanchun Sun, Xin Feng, Jingyao Liu, et al.
Biomedical Signal Processing and Control
|
September 7, 2021
Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs
Mesut Toğaçar, Nedim Muzoğlu, Burhan Ergen, et al.
Page
of 20