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Biomedical Signal Processing and Control
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January 26, 2026
SeRL: Style-embedding representation learning for unsupervised CT images synthesis from unpaired MR images
Lei You, Hongyu Wang, Eduardo J Matta, et al.
Biomedical Signal Processing and Control
|
March 7, 2023
Interpretation of lung disease classification with light attention connected module
Youngjin Choi, Hongchul Lee
Biomedical Signal Processing and Control
|
March 6, 2023
Kalman-based compartmental estimation for covid-19 pandemic using advanced epidemic model
Sumanta Kumar Nanda, Guddu Kumar, Vimal Bhatia, et al.
Biomedical Signal Processing and Control
|
March 27, 2023
MTMC-AUR2CNet: Multi-textural multi-class attention recurrent residual convolutional neural network for COVID-19 classification using chest X-ray images
Anandbabu Gopatoti, P Vijayalakshmi
Biomedical Signal Processing and Control
|
March 20, 2023
A sensorless, physiologic feedback control strategy to increase vascular pulsatility for rotary blood pumps
Zhehuan Tan, Mingming Huo, Kairong Qin, et al.
Biomedical Signal Processing and Control
|
February 13, 2023
Self-paced Multi-view Learning for CT-based severity assessment of COVID-19
Yishu Liu, Bingzhi Chen, Zheng Zhang, et al.
Biomedical Signal Processing and Control
|
May 1, 2023
ADU-Net: An Attention Dense U-Net based deep supervised DNN for automated lesion segmentation of COVID-19 from chest CT images
Sanjib Saha, Subhadeep Dutta, Biswarup Goswami, et al.
Biomedical Signal Processing and Control
|
May 22, 2023
Automatic Measuring of Finger Joint Space Width on Hand Radiograph using Deep Learning and Conventional Computer Vision Methods
Raj Ponnusamy, Ming Zhang, Zhiheng Chang, et al.
Biomedical Signal Processing and Control
|
April 5, 2021
A <i>MATLAB</i> application for automated H-Reflex measurements and analyses
George Moukarzel, Michel A Lemay, Andrew J Spence
Biomedical Signal Processing and Control
|
April 7, 2021
Automatic diagnosis of coronavirus (COVID-19) using shape and texture characteristics extracted from X-Ray and CT-Scan images
Maryam Imani
Page
of 20
Search research articles
Search
Showing results (181-190 of 195) with videos related to
Sort By:
Page
of 20
Biomedical Signal Processing and Control
|
January 26, 2026
SeRL: Style-embedding representation learning for unsupervised CT images synthesis from unpaired MR images
Lei You, Hongyu Wang, Eduardo J Matta, et al.
Biomedical Signal Processing and Control
|
March 7, 2023
Interpretation of lung disease classification with light attention connected module
Youngjin Choi, Hongchul Lee
Biomedical Signal Processing and Control
|
March 6, 2023
Kalman-based compartmental estimation for covid-19 pandemic using advanced epidemic model
Sumanta Kumar Nanda, Guddu Kumar, Vimal Bhatia, et al.
Biomedical Signal Processing and Control
|
March 27, 2023
MTMC-AUR2CNet: Multi-textural multi-class attention recurrent residual convolutional neural network for COVID-19 classification using chest X-ray images
Anandbabu Gopatoti, P Vijayalakshmi
Biomedical Signal Processing and Control
|
March 20, 2023
A sensorless, physiologic feedback control strategy to increase vascular pulsatility for rotary blood pumps
Zhehuan Tan, Mingming Huo, Kairong Qin, et al.
Biomedical Signal Processing and Control
|
February 13, 2023
Self-paced Multi-view Learning for CT-based severity assessment of COVID-19
Yishu Liu, Bingzhi Chen, Zheng Zhang, et al.
Biomedical Signal Processing and Control
|
May 1, 2023
ADU-Net: An Attention Dense U-Net based deep supervised DNN for automated lesion segmentation of COVID-19 from chest CT images
Sanjib Saha, Subhadeep Dutta, Biswarup Goswami, et al.
Biomedical Signal Processing and Control
|
May 22, 2023
Automatic Measuring of Finger Joint Space Width on Hand Radiograph using Deep Learning and Conventional Computer Vision Methods
Raj Ponnusamy, Ming Zhang, Zhiheng Chang, et al.
Biomedical Signal Processing and Control
|
April 5, 2021
A <i>MATLAB</i> application for automated H-Reflex measurements and analyses
George Moukarzel, Michel A Lemay, Andrew J Spence
Biomedical Signal Processing and Control
|
April 7, 2021
Automatic diagnosis of coronavirus (COVID-19) using shape and texture characteristics extracted from X-Ray and CT-Scan images
Maryam Imani
Page
of 20