Uzm. Dr. Uğur Kesimal
Is this your profile? Claim it and verify your details.
Claim profileTrust
Where does this information come from?
The source is stated next to each piece of information. If you see something wrong, you can suggest a correction.
- InstitutionAnkara Eğitim ve Araştırma Hastanesisaglik.gov.trFrom source
- Publications39 publicationsORCID, OpenAlex, Europe PMCFrom source
- ORCID0000-0002-7994-5482ORCIDFrom source
- Last synchronised7 November 2026 00:02https://ankaraeah.saglik.gov.tr/TR-589100/doktorlarimiz.html#ugur-kesimalsaglik.gov.tr
Scientific work
Publications
-
MRI quality and csPCa confirmation in MRI-positive examinations
BMC Medical Imaging, 2026
DOI 10.1186/s12880-026-02918-8 Open-access full textSource: ORCID
-
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 Open-access full textSource: ORCID
-
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
-
Preprocedural Basal Ganglia Radiomics for Prediction of Post-Thrombectomy Hyperdense Transformation in Patients with Preserved ASPECTS
2026
DOI 10.2139/ssrn.7308327 Source: ORCID
-
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
-
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
-
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) Open-access full textSource: OpenAlex
-
MR Texture Analysis and Machine Learning for Differentiating Benign and Malignant Prostate Lesions
Research Square, 2026
DOI 10.21203/rs.3.rs-8682289/v1 Open-access full textSource: OpenAlex
-
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 Open-access full textSource: ORCID
-
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 Open-access full textSource: Europe PMC