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    Browsing by Author "Kamal, Reema Yousef"

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        Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models from Fetal Echocardiogram: A Pilot Study 

        Rahman, Tawsifur; Al-Ruweidi, Mahmoud Khatib A.A.; Sumon, Md Shaheenur Islam; Kamal, Reema Yousef; Chowdhury, Muhammad E.H.; Yalcin, Huseyin C.... more authors ... less authors ( IEEE , 2023 , Article)
        Congenital heart defects (CHDs) are a leading cause of death in infants under 1 year of age. Prenatal intervention can reduce the risk of postnatal serious CHD patients, but current diagnosis is based on qualitative criteria, ...
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        Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model 

        Arafat, Rahman; Mahmud, Sakib; Chowdhury, Muhammad E.H.; Yalcin, Huseyin Cagatay; Khandakar, Amith; Mutlu, Onur; Mahbub, Zaid Bin; Kamal, Reema Yousef; Pedersen, Shona... more authors ... less authors ( Elsevier , 2023 , Article)
        Fetal heart monitoring and early disease detection using non-invasive fetal electrocardiograms (fECG) can help substantially to reduce infant death through improved diagnosis of Coronary Heart Disease (CHD) in the fetus. ...
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        Hemodynamic and Structural Comparison of Human Fetal Heart Development Between Normally Growing and Hypoplastic Left Heart Syndrome-Diagnosed Hearts 

        Salman, Huseyin Enes; Kamal, Reema Yousef; Hijazi, Ziyad M.; Yalcin, Huseyin Cagatay ( Frontiers Media , 2022 , Article)
        Congenital heart defects (CHDs) affect a wide range of societies with an incidence rate of 1.0–1.2%. These defects initiate at the early developmental stage and result in critical health disorders. Although genetic factors ...

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        Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

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