Uzm. Dr. Uğur Kesimal
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- ÉtablissementAnkara Eğitim ve Araştırma Hastanesisaglik.gov.trD’après la source
- Publications39 publicationsORCID, OpenAlex, Europe PMCD’après la source
- ORCID0000-0002-7994-5482ORCIDD’après la source
- Dernière synchronisation7 novembre 2026 00:02https://ankaraeah.saglik.gov.tr/TR-589100/doktorlarimiz.html#ugur-kesimalsaglik.gov.tr
Travaux scientifiques
Publications
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MRI quality and csPCa confirmation in MRI-positive examinations
BMC Medical Imaging, 2026
DOI 10.1186/s12880-026-02918-8 Texte intégral en libre accèsSource : ORCID
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Preprocedural CT Radiomic Features of the Basal Ganglia Are Associated with Post-Thrombectomy Hyperdense Transformation: A LASSO-Based Logistic Regression Analysis
Tomography, 2026
DOI 10.3390/tomography12100149 PMID 42931493 Texte intégral en libre accèsSource : ORCID
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Automated Detection of Idiopathic Intracranial Hypertension Using Artificial Intelligence: An Approach Based on Magnetic Resonance Imaging and Magnetic Resonance Venography Data
Bratislava Medical Journal, 2026
DOI 10.1007/s44411-026-00504-6 Source : ORCID
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Preprocedural Basal Ganglia Radiomics for Prediction of Post-Thrombectomy Hyperdense Transformation in Patients with Preserved ASPECTS
2026
DOI 10.2139/ssrn.7308327 Source : ORCID
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Cognitive and fusion MRI-Targeted prostate biopsies: A multicenter comparative analysis in 485 patients
Actas Urológicas Españolas (English Edition), 2026
DOI 10.1016/j.acuroe.2026.501983 PMID 41936889 Source : ORCID
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Cognitive and fusion MRI-targeted prostate biopsies: A multicenter comparative analysis in 485 patients
Actas Urológicas Españolas, 2026
DOI 10.1016/j.acuro.2026.501983 Source : ORCID
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Use of Deep Learning Models in the Diagnosis of Proptosis Through Orbital Magnetic Resonance Imaging
Medical Science Monitor, 2026
DOI 10.12659/msm.951157 PMID 41999029 1 citation (OpenAlex) Texte intégral en libre accèsSource : OpenAlex
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MR Texture Analysis and Machine Learning for Differentiating Benign and Malignant Prostate Lesions
Research Square, 2026
DOI 10.21203/rs.3.rs-8682289/v1 Texte intégral en libre accèsSource : OpenAlex
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Duyarlılık Ağırlıklı Görüntüleme ile Gelişimsel Venöz Anomalilerin Tanısı: DenseNet121 Modelini Kullanan Derin Öğrenme Uygulaması
Ankara Eğitim ve Araştırma Hastanesi Tıp Dergisi, 2025
DOI 10.20492/aeahtd.1636641 Texte intégral en libre accèsSource : ORCID
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MammosighTR: Nationwide Breast Cancer Screening Mammogram Dataset with BI-RADS Annotations for Artificial Intelligence Applications
Radiology. Artificial intelligence, 2025
DOI 10.1148/ryai.240841 PMID 40801802 Texte intégral en libre accèsSource : Europe PMC