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A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

Nov 12, 2021
Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md Shafayet Hossain, M. Sohel Rahman, Mohammad Tariqul Islam, Muhammad E. H. Chowdhury

* 22 pages, Figure 8, Table 13 

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Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks

Sep 30, 2021
Serkan Kiranyaz, Junaid Malik, Muhammad Uzair Zahid, Turker Ince, Muhammad Chowdhury, Amith Khandakar, Anas Tahir, Moncef Gabbouj

* arXiv admin note: substantial text overlap with arXiv:2110.02215 

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EDITH :ECG biometrics aided by Deep learning for reliable Individual auTHentication

Feb 16, 2021
Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas Tahir, Yazan Qiblawey, Tawsifur Rahman

* Preprint 

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Detection and severity classification of COVID-19 in CT images using deep learning

Feb 15, 2021
Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury, Amith Khandakar, Serkan Kiranyaz, Tawsifur Rahman, Nabil Ibtehaz, Sakib Mahmud, Somaya Al-Madeed, Farayi Musharavati

* 9 Figures, 8 Tables 

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Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network

Dec 29, 2020
Muhammad Uzair Zahid, Serkan Kiranyaz, Turker Ince, Ozer Can Devecioglu, Muhammad E. H. Chowdhury, Amith Khandakar, Anas Tahir, Moncef Gabbouj

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Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images

Nov 25, 2020
Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al Maadeed, Susu M Zughaier, Muhammad Salman Khan, Muhammad E. H. Chowdhury

* 34 pages, 6 Tables, 11 Figures 

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Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI

Jun 08, 2020
Anas Tahir, Yazan Qiblawey, Amith Khandakar, Tawsifur Rahman, Uzair Khurshid, Farayi Musharavati, M. T. Islam, Serkan Kiranyaz, Muhammad E. H. Chowdhury

* 10 Figures, 4 Tables 

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