Search Results - Bagcilar, Yeseren Deniz

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  1. 1
    Does Employing a Flowchart Improve the Diagnostic Performance of Cardiac Magnetic Resonance Imaging in Left Ventricular Noncompaction?

    Does Employing a Flowchart Improve the Diagnostic Performance of Cardiac Magnetic Resonance Imaging in Left Ventricular Noncompaction? by Alis, Deniz, Bagcilar, Omer, Asmakutlu, Ozan, Topel, Cagdas, Bagcilar, Yeseren Deniz, Sahin, Anil, Gurbak, Ismail, Karaarslan, Ercan

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  2. 2
    Image Does Employing a Flowchart Improve the Diagnostic Performance of Cardiac Magnetic Resonance Imaging in Left Ventricular Noncompaction?

    Image Does Employing a Flowchart Improve the Diagnostic Performance of Cardiac Magnetic Resonance Imaging in Left Ventricular Noncompaction? by Deniz Alis, Omer Bagcilar, Ozan Asmakutlu, Cagdas Topel, Yeseren Deniz Bagcilar, Anil Sahin, Ismail Gurbak, Ercan Karaarslan

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  3. 3
    A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CT

    A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CT by Alis, Deniz, Alis, Ceren, Yergin, Mert, Topel, Cagdas, Asmakutlu, Ozan, Bagcilar, Omer, Senli, Yeseren Deniz, Ustundag, Ahmet, Salt, Vefa, Dogan, Sebahat Nacar, Velioglu, Murat, Selcuk, Hakan Hatem, Kara, Batuhan, Ozer, Caner, Oksuz, Ilkay, Kizilkilic, Osman, Karaarslan, Ercan

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  4. 4
    Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter study

    Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter study by Alis, Deniz, Yergin, Mert, Alis, Ceren, Topel, Cagdas, Asmakutlu, Ozan, Bagcilar, Omer, Senli, Yeseren Deniz, Ustundag, Ahmet, Salt, Vefa, Dogan, Sebahat Nacar, Velioglu, Murat, Selcuk, Hakan Hatem, Kara, Batuhan, Oksuz, Ilkay, Kizilkilic, Osman, Karaarslan, Ercan

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  5. 5
    Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas

    Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas by Alis, Deniz, Bagcilar, Omer, Senli, Yeseren Deniz, Yergin, Mert, Isler, Cihan, Kocer, Naci, Islak, Civan, Kizilkilic, Osman

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