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Biomedical Signal Processing and Control|March 30, 2022
Effectiveness evaluation of different feature extraction methods for classification of covid-19 from computed tomography images: A high accuracy classification studyFarid Al-Areqi, Mehmet Zeki Konyar
Biomedical Signal Processing and Control|August 7, 2010
On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI dataAxel Saalbach, Oliver Lange, Tim Nattkemper, et al.
Biomedical Signal Processing and Control|September 8, 2021
A multi model ensemble based deep convolution neural network structure for detection of COVID19Sagar Deep Deb, Rajib Kumar Jha, Kamlesh Jha, et al.
Biomedical Signal Processing and Control|May 19, 2021
Detection of COVID-19 in X-ray images by classification of bag of visual words using neural networksZahra Nabizadeh-Shahre-Babak, Nader Karimi, Pejman Khadivi, et al.
Biomedical Signal Processing and Control|February 6, 2023
A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speechMatthieu Ruthven, Marc E Miquel, Andrew P King
Biomedical Signal Processing and Control|December 13, 2021
A novel Gray-Scale spatial exploitation learning Net for COVID-19 by crawling Internet resourcesMohamed E ElAraby, Omar M Elzeki, Mahmoud Y Shams, et al.
Biomedical Signal Processing and Control|November 22, 2021
Virtual system for early detection of COVID-19 infection "Etaware-CDT-2020 prototype design" (corroborated by rRT-PCR data)Peter Mudiaga Etaware
Biomedical Signal Processing and Control|November 22, 2021
Covid-19 recognition from cough sounds using lightweight separable-quadratic convolutional networkMohammad Soltanian, Keivan Borna
Biomedical Signal Processing and Control|September 8, 2012
A study of non-invasive Patlak quantification for whole-body dynamic FDG-PET studies of miceXiujuan Zheng, Lingfeng Wen, Shu-Jung Yu, et al.
Biomedical Signal Processing and Control|October 2, 2012
Neuron Selection by Relative Importance for Neural Decoding of Dexterous Finger Prosthesis Control ApplicationHyoung-Nam Kim, Yong-Hee Kim, Hyun-Chool Shin, et al.
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