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Biomedical signal processing and control

Showing results (11-20 of 195) with videos related to

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Biomedical Signal Processing and Control|April 8, 2021
Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusionFrancis Jesmar P Montalbo
Biomedical Signal Processing and Control|March 31, 2023
SuperMini-seg: An ultra lightweight network for COVID-19 lung infection segmentation from CT imagesYuan Yang, Lin Zhang, Lei Ren, et al.
Biomedical Signal Processing and Control|March 30, 2023
Semi-supervised COVID-19 volumetric pulmonary lesion estimation on CT images using probabilistic active contour and CNN segmentationDiomar Enrique Rodriguez-Obregon, Aldo Rodrigo Mejia-Rodriguez, Leopoldo Cendejas-Zaragoza, et al.
Biomedical Signal Processing and Control|January 16, 2020
Novel Methods for High-resolution Assessment of Cardiac Action Potential RepolarizationMarianna Meo, Olivier Meste, Sergio Signore, et al.
Biomedical Signal Processing and Control|December 26, 2022
A fractal scaling analysis of the SARS-CoV-2 genome sequenceM Meraz, E J Vernon-Carter, E Rodriguez, et al.
Biomedical Signal Processing and Control|December 26, 2022
Academic stress detection on university students during COVID-19 outbreak by using an electronic nose and the galvanic skin responseCristhian Manuel Durán Acevedo, Jeniffer Katerine Carrillo Gómez, Camilo Andrés Albarracín Rojas
Biomedical Signal Processing and Control|November 28, 2022
The SEIR model incorporating asymptomatic cases, behavioral measures, and lockdowns: Lesson learned from the COVID-19 flow in SwedenMuhamad Khairulbahri
Biomedical Signal Processing and Control|June 6, 2022
A novel method using Covid-19 dataset and machine learning algorithms FOR THE MOST ACCURATE DIAGNOSIS that can be obtained in medical diagnosisEmre Avuçlu
Biomedical Signal Processing and Control|May 9, 2022
A novel fusion based convolutional neural network approach for classification of COVID-19 from chest X-ray imagesAnubhav Sharma, Karamjeet Singh, Deepika Koundal
Biomedical Signal Processing and Control|May 9, 2022
DCML: Deep contrastive mutual learning for COVID-19 recognitionHongbin Zhang, Weinan Liang, Chuanxiu Li, et al.
Pageof 20

Showing results (11-20 of 195) with videos related to

Sort By:
Pageof 20
Biomedical Signal Processing and Control|April 8, 2021
Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusionFrancis Jesmar P Montalbo
Biomedical Signal Processing and Control|March 31, 2023
SuperMini-seg: An ultra lightweight network for COVID-19 lung infection segmentation from CT imagesYuan Yang, Lin Zhang, Lei Ren, et al.
Biomedical Signal Processing and Control|March 30, 2023
Semi-supervised COVID-19 volumetric pulmonary lesion estimation on CT images using probabilistic active contour and CNN segmentationDiomar Enrique Rodriguez-Obregon, Aldo Rodrigo Mejia-Rodriguez, Leopoldo Cendejas-Zaragoza, et al.
Biomedical Signal Processing and Control|January 16, 2020
Novel Methods for High-resolution Assessment of Cardiac Action Potential RepolarizationMarianna Meo, Olivier Meste, Sergio Signore, et al.
Biomedical Signal Processing and Control|December 26, 2022
A fractal scaling analysis of the SARS-CoV-2 genome sequenceM Meraz, E J Vernon-Carter, E Rodriguez, et al.
Biomedical Signal Processing and Control|December 26, 2022
Academic stress detection on university students during COVID-19 outbreak by using an electronic nose and the galvanic skin responseCristhian Manuel Durán Acevedo, Jeniffer Katerine Carrillo Gómez, Camilo Andrés Albarracín Rojas
Biomedical Signal Processing and Control|November 28, 2022
The SEIR model incorporating asymptomatic cases, behavioral measures, and lockdowns: Lesson learned from the COVID-19 flow in SwedenMuhamad Khairulbahri
Biomedical Signal Processing and Control|June 6, 2022
A novel method using Covid-19 dataset and machine learning algorithms FOR THE MOST ACCURATE DIAGNOSIS that can be obtained in medical diagnosisEmre Avuçlu
Biomedical Signal Processing and Control|May 9, 2022
A novel fusion based convolutional neural network approach for classification of COVID-19 from chest X-ray imagesAnubhav Sharma, Karamjeet Singh, Deepika Koundal
Biomedical Signal Processing and Control|May 9, 2022
DCML: Deep contrastive mutual learning for COVID-19 recognitionHongbin Zhang, Weinan Liang, Chuanxiu Li, et al.
Pageof 20