Browsing by Author "Hamid, Tahir"
Now showing items 1-6 of 6
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Blind ECG Restoration by Operational Cycle-GANs
Kiranyaz, Serkan; Devecioglu, Ozer Can; Ince, Turker; Malik, Junaid; Chowdhury, Muhammad; Hamid, Tahir; Mazhar, Rashid; Khandakar, Amith; Tahir, Anas; Rahman, Tawsifur; Gabbouj, Moncef... more authors ... less authors ( IEEE Computer Society , 2022 , Article)Objective: ECG recordings often suffer from a set of artifacts with varying types, severities, and durations, and this makes an accurate diagnosis by machines or medical doctors difficult and unreliable. Numerous studies ... -
COVID-19 infection map generation and detection from chest X-ray images
Degerli, Aysen; Ahishali, Mete; Yamac, Mehmet; Kiranyaz, Serkan; Chowdhury, Muhammad E. H.; Hameed, Khalid; Hamid, Tahir; Mazhar, Rashid; Gabbouj, Moncef... more authors ... less authors ( Springer Science and Business Media Deutschland GmbH , 2021 , Article)Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep ... -
Fully automated 2D and 3D convolutional neural networks pipeline for video segmentation and myocardial infarction detection in echocardiography
Hamila, Oumaima; Ramanna, Sheela; Henry, Christopher J.; Kiranyaz, Serkan; Hamila, Ridha; Mazhar, Rashid; Hamid, Tahir... more authors ... less authors ( Springer , 2022 , Article)Myocardial infarction (MI) is a life-threatening disorder that occurs due to a prolonged limitation of blood supply to the heart muscles, and which requires an immediate diagnosis to prevent death. To detect MI, cardiologists ... -
Machine Learning Screening of COVID-19 Patients Based on X-ray Images for Imbalanced Classes
Mrad, Ilyes; Hamila, Ridha; Erbad, Aiman; Hamid, Tahir; Mazhar, Rashid; Al-Emadi, Nasser... more authors ... less authors ( IEEE , 2021 , Conference Paper)COVID-19 is a virus that has infected more than one hundred and fifty million people and caused more than three million deaths by 13th of Mai 2021 and is having a catastrophic effect on the world population's safety. ... -
Machine learning screening of COVID-19 patients based on X-ray images for unbalanced classes
Mrad, Ilyes; Hamila, Ridha; Al-Emadi, Nasser; Erbad, Aiman; Hamid, Tahir; Mazhar, Rashid... more authors ... less authors ( Hamad bin Khalifa University Press (HBKU Press) , 2021 , Article)Background: COVID-19 is a pandemic that had already infected more than forty-six million people and caused more than a million deaths by 1st of November 2020. The virus pandemic appears to have had a catastrophic effect ... -
Reliable tuberculosis detection using chest X-ray with deep learning, segmentation and visualization
Rahman, Tawsifur; Khandakar, Amith; Kadir, Muhammad Abdul; Islam, Khandaker Rejaul; Islam, Khandakar F.; Mazhar, Rashid; Hamid, Tahir; Islam, Mohammad Tariqul; Kashem, Saad; Mahbub, Zaid Bin; Ayari, Mohamed Arselene; Chowdhury, Muhammad E. H.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very important, otherwise, it could be life-threatening. ...