Browsing by Author "Ibtehaz N."
Now showing items 1-4 of 4
-
COVID-19 infection localization and severity grading from chest X-ray images
Tahir A.M.; Chowdhury M.E.H.; Khandakar A.; Rahman T.; Qiblawey Y.; Khurshid U.; Kiranyaz, Mustafa Serkan; Ibtehaz N.; Rahman M.S.; Al-Maadeed S.; Mahmud S.; Ezeddin M.; Hameed K.; Hamid T.... more authors ... less authors ( Elsevier Ltd , 2021 , Article)The immense spread of coronavirus disease 2019 (COVID-19) has left healthcare systems incapable to diagnose and test patients at the required rate. Given the effects of COVID-19 on pulmonary tissues, chest radiographic ... -
Detection and severity classification of COVID-19 in CT images using deep learning
Qiblawey Y.; Tahir A.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman T.; Ibtehaz N.; Mahmud S.; Al Maadeed S.; Musharavati F.; Ayari M.A.... more authors ... less authors ( MDPI , 2021 , Article)Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from ... -
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication
Ibtehaz N.; Chowdhury M.E.H.; Khandakar A.; Kiranyaz, Mustafa Serkan; Rahman M.S.; Tahir A.; Qiblawey Y.; Rahman T.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In recent years, physiological signal-based authentication has shown great promises, for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most widely studied biosignal, has also received ... -
Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs
Rahman A.; Chowdhury M.E.H.; Khandakar A.; Tahir A.M.; Ibtehaz N.; Hossain M.S.; Kiranyaz, Mustafa Serkan; Malik J.; Monawwar H.; Kadir M.A.... more authors ... less authors ( Elsevier Ltd , 2022 , Article)Harnessing the inherent anti-spoofing quality from electroencephalogram (EEG) signals has become a potential field of research in recent years. Although several studies have been conducted, still there are some vital ...