Ercan S. Karaarslan
Aydinlar, 34638, Turkey
Last Updated: 09/26/2026
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Found 67 publications
High-Resolution 3T Intracranial Vessel Wall MRI in Patients Evaluated for Suspected Inflammatory Intracranial Vasculopathy: Morphologic and Follow-Up Findings from a Retrospective Case Series.
Journal: Tomography (Ann Arbor, Mich.)
Published: July 19, 2026
Landmark Regression with Attention U-Net for Assessing Breast Positioning Quality in MLO Mammography View.
Journal: Diagnostics (Basel, Switzerland)
Published: June 04, 2026
Default-threshold operating-point validation of a commercial chest radiograph AI system for selected CT-anchored thoracic findings: a bi-national multicenter retrospective study.
Journal: Scientific reports
Published: March 10, 2026
Virtual Non-Iodine Coronary Calcium Scoring on Photon-Counting CT: Patient- and Plaque-Level Analysis.
Journal: Diagnostics (Basel, Switzerland)
Published: November 28, 2025
A scoping review of photon-counting detector computed tomography in cardiovascular imaging.
Journal: Diagnostic and interventional radiology (Ankara, Turkey)
Published: November 20, 2025
Pix2Pix generative-adversarial network in improving the quality of T2-weighted prostate magnetic resonance imaging: a multi-reader study.
Journal: Diagnostic and interventional radiology (Ankara, Turkey)
Published: May 05, 2025
A Narrative Review of Artificial Intelligence in MRI-Guided Prostate Cancer Diagnosis: Addressing Key Challenges.
Journal: Diagnostics (Basel, Switzerland)
Published: April 10, 2025
Assessing the aggressiveness of prostate cancer using ADC and relaxation maps from synthetic MRI.
Journal: Acta radiologica (Stockholm, Sweden : 1987)
Published: February 19, 2025
Multicenter analysis for inter reader agreement of PIQUAL score v2 for basic readers in prostate MRI.
Journal: Scientific reports
Published: December 20, 2024
Annotation-efficient, patch-based, explainable deep learning using curriculum method for breast cancer detection in screening mammography.
Journal: Insights into imaging
Published: July 19, 2024
Choosing the right artificial intelligence solutions for your radiology department: key factors to consider
Journal: Diagnostic and interventional radiology (Ankara, Turkey)
Published: April 29, 2024
Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis.
Journal: European journal of radiology
Published: August 23, 2023
Last Updated: 09/26/2026