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akaturk Akademik ölçüm

OpenAlex konusu

Dental Radiography and Imaging

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 8.478 eser 735 yazar konusu

Çalışmalar

8.478 eser

  1. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 100.0%

    A new periodontitis classification scheme has been adopted, in which forms of the disease previously recognized as "chronic" or "aggressive" are now grouped under a single category ("periodontitis") and are further characterized based on a multi-dimensional staging and grading system. Staging is largely dependent upon…

  2. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 100.0%

    A new periodontitis classification scheme has been adopted, in which forms of the disease previously recognized as "chronic" or "aggressive" are now grouped under a single category ("periodontitis") and are further characterized based on a multi-dimensional staging and grading system. Staging is largely dependent upon…

  3. OpenAlex 87.9%

    Özet henüz yok.

  4. YÖKSİS SJR Q1 JCR Q2 OpenAlex 87.9%

    Özet henüz yok.

  5. OpenAlex 88.7%

    When the root canals are instrumented during endodontic therapy, a layer of material composed of dentine, remnants of pulp tissue and odontoblastic processes, and sometimes bacteria, is always formed on the canal walls. This layer has been called the smear layer. It has an amorphous, irregular and granular appearance…

  6. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 100.0%

    AIM: To verify the diagnostic performance of an artificial intelligence system based on the deep convolutional neural network method to detect periapical pathosis on cone-beam computed tomography (CBCT) images. METHODOLOGY: images of 153 periapical lesions obtained from 109 patients were included. The specific area of…

  7. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 100.0%

    AIM: To verify the diagnostic performance of an artificial intelligence system based on the deep convolutional neural network method to detect periapical pathosis on cone-beam computed tomography (CBCT) images. METHODOLOGY: images of 153 periapical lesions obtained from 109 patients were included. The specific area of…

  8. OpenAlex üst %10 OpenAlex 98.8%

    Extrusion of intracanal debris as well as irrigants is a common occurrence during root canal treatment, and no instrument or technique has thoroughly solved this problem. Because flare-ups may arise with any irritation directed towards periapical tissues, a shaping or irrigation technique should minimize the risk of a…

  9. OpenAlex üst %10 OpenAlex 97.5%

    Özet henüz yok.

  10. OpenAlex üst %10 OpenAlex 96.7%

    The aim of this study was to observe the root canal flora and possible penetration of microorganisms into dentinal tubules in teeth with necrotic pulps. Ten infected maxillary and mandibular molars with periapical lesions were extracted and fixed in 2.5% phosphate-buffered glutaraldehyde solution for nine days. After…

  11. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.9%

    Özet henüz yok.

  12. YÖKSİS JCR Q2 OpenAlex üst %10 OpenAlex 91.6%

    Özet henüz yok.

Akademisyenler

735 akademisyen