يعرض 1 - 5 نتائج من 5 نتيجة بحث عن '"Yeseren Deniz Senli"', وقت الاستعلام: 1.13s تنقيح النتائج
  1. 1
    دورية أكاديمية
    A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CT

    المؤلفون: Deniz Alis, Ceren Alis, Mert Yergin, Cagdas Topel, Ozan Asmakutlu, Omer Bagcilar, Yeseren Deniz Senli, Ahmet Ustundag, Vefa Salt, Sebahat Nacar Dogan, Murat Velioglu, Hakan Hatem Selcuk, Batuhan Kara, Caner Ozer, Ilkay Oksuz, Osman Kizilkilic, Ercan Karaarslan

    المصدر: Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)

    مصطلحات موضوعية: Medicine, Science

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/2045-2322

    URL الوصول: https://doaj.org/article/40d9024177f54153a115a4f0937e7097

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  2. 2
    دورية أكاديمية
    Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter study

    المؤلفون: Deniz Alis, Mert Yergin, Ceren Alis, Cagdas Topel, Ozan Asmakutlu, Omer Bagcilar, Yeseren Deniz Senli, Ahmet Ustundag, Vefa Salt, Sebahat Nacar Dogan, Murat Velioglu, Hakan Hatem Selcuk, Batuhan Kara, Ilkay Oksuz, Osman Kizilkilic, Ercan Karaarslan

    المصدر: Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)

    مصطلحات موضوعية: Medicine, Science

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/2045-2322

    URL الوصول: https://doaj.org/article/897683b2837b4094b80466289ed7a30d

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  3. 3
    Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter study

    المؤلفون: Omer Bagcilar, Sebahat Nacar Dogan, Yeseren Deniz Senli, Deniz Alis, Ilkay Oksuz, Osman Kizilkilic, Ahmet Ustundag, Murat Velioglu, Ozan Asmakutlu, Ercan Karaarslan, Mert Yergin, Cagdas Topel, Hakan Hatem Selcuk, Vefa Salt, Ceren Alis, Batuhan Kara

    المساهمون: Acibadem University Dspace

    المصدر: Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
    Scientific Reports

    مصطلحات موضوعية: Male, medicine.medical_specialty, Science, education, Datasets as Topic, Brain imaging, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Deep Learning, Magnetic resonance imaging, 0302 clinical medicine, Segmentation, Neuroimaging, Image Interpretation, Computer-Assisted, Radiologists, medicine, Humans, Generalizability theory, Stroke, Aged, Ischemic Stroke, Retrospective Studies, Aged, 80 and over, Multidisciplinary, Artificial neural network, medicine.diagnostic_test, business.industry, Deep learning, Brain, Middle Aged, medicine.disease, Computer science, Diffusion Magnetic Resonance Imaging, Medicine, Female, Artificial intelligence, Radiology, business, Software, 030217 neurology & neurosurgery, Diffusion MRI

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df243bd78135d14301dd8c3eae491824
    https://doi.org/10.1038/s41598-021-91467-x

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  4. 4
    The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas

    المؤلفون: Naci Kocer, Cihan Isler, Yeseren Deniz Senli, Omer Bagcilar, Civan Islak, Osman Kizilkilic, Deniz Alis, Mert Yergin

    المصدر: Clinical radiology. 75(5)

    مصطلحات موضوعية: Adult, Male, Contrast Media, Feature selection, Fluid-attenuated inversion recovery, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Histogram, Image Interpretation, Computer-Assisted, Medicine, Humans, Radiology, Nuclear Medicine and imaging, Aged, Reproducibility, Receiver operating characteristic, medicine.diagnostic_test, Artificial neural network, business.industry, Brain Neoplasms, Reproducibility of Results, Pattern recognition, Magnetic resonance imaging, General Medicine, Glioma, Middle Aged, Magnetic Resonance Imaging, 030220 oncology & carcinogenesis, Test set, Female, Artificial intelligence, Neural Networks, Computer, Neoplasm Grading, business

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f2327c1b2178233319a2a525cb3fe4
    https://pubmed.ncbi.nlm.nih.gov/31973941

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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

    المؤلفون: Cihan Isler, Yeseren Deniz Senli, Mert Yergin, Osman Kizilkilic, Naci Kocer, Civan Islak, Omer Bagcilar, Deniz Alis

    المصدر: Japanese journal of radiology. 38(2)

    مصطلحات موضوعية: Adult, Male, Texture (music), Fluid-attenuated inversion recovery, 030218 nuclear medicine & medical imaging, Machine Learning, 03 medical and health sciences, 0302 clinical medicine, Predictive Value of Tests, IDH1 Mutation, Equating, Image Interpretation, Computer-Assisted, medicine, Effective diffusion coefficient, Humans, Radiology, Nuclear Medicine and imaging, Retrospective Studies, medicine.diagnostic_test, business.industry, Brain Neoplasms, Brain, Reproducibility of Results, Magnetic resonance imaging, Glioma, Middle Aged, Training cohort, Magnetic Resonance Imaging, Isocitrate Dehydrogenase, Random forest, 030220 oncology & carcinogenesis, Mutation, Female, Nuclear medicine, business

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::698dc3afe6be1d81bf71bf9036b34bc1
    https://pubmed.ncbi.nlm.nih.gov/31741126

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