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20192022
most citedA Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

93 citations · 250 across the 11 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

eess.SP2021★ 93 cited

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

Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar +7

Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous Blood Pressure (BP) monitoring along with many…

eess.SP2021★ 51 cited

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

Moncef Gabbouj, Serkan Kiranyaz, Junaid Malik +5

Although numerous R-peak detectors have been proposed in the literature, their robustness and performance levels may significantly deteriorate in low-quality and noisy signals acqu…

eess.IV2021

COVID-19 Infection Localization and Severity Grading from Chest X-ray Images

Anas M. Tahir, Muhammad E. H. Chowdhury, Amith Khandakar +11

Coronavirus disease 2019 (COVID-19) has been the main agenda of the whole world, since it came into sight in December 2019 as it has significantly affected the world economy and he…

eess.IV2021

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

Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury +7

Since the breakout of coronavirus disease (COVID-19), the computer-aided diagnosis has become a necessity to prevent the spread of the virus. Detecting COVID-19 at an early stage i…

cs.LG2021★ 59 cited

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

Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Khandakar +5

In recent years, physiological signal based authentication has shown great promises,for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most wide…

eess.SP2021★ 9 cited

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

Muhammad Uzair Zahid, Serkan Kiranyaz, Turker Ince +5

Noise and low quality of ECG signals acquired from Holter or wearable devices deteriorate the accuracy and robustness of R-peak detection algorithms. This paper presents a generic…