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AJR. American Journal of Roentgenology|August 14, 2020
Machine Learning in Radiomic Renal Mass Characterization: Fundamentals, Applications, Challenges, and Future DirectionsBurak Kocak, Ece Ates Kus, Aytul Hande Yardimci, et al.
Annals of Surgical Treatment and Research|November 17, 2016
Does the abdominal ultrasonography reliable in the diagnosis of postoperative pancreatic fistula after pancreaticoduodenectomy in the first postoperative week?Erdem Kinaci, Mert Mahsuni Sevinc, Savas Bayrak, et al.
Academic Radiology|February 5, 2020
Prediction of Benign and Malignant Solid Renal Masses: Machine Learning-Based CT Texture AnalysisCagri Erdim, Aytul Hande Yardimci, Ceyda Turan Bektas, et al.
European Journal of Radiology|June 18, 2026
Beyond luminal stenosis: Epicardial adipose tissue volume reflects coronary plaque burden according to CAD-RADS 2.0Emine Meltem, Ibrahim Taskın Rakıcı, Mert Aric, et al.
Annali Italiani Di Chirurgia|January 11, 2017
Preoperative localization of distal colorectal tumoursSavas Bayrak, Erdem Kinaci, Abdulkerim Ozakay, et al.
European Radiology|September 1, 2018
Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear GradeCeyda Turan Bektas, Burak Kocak, Aytul Hande Yardimci, et al.
European Journal of Radiology|October 8, 2018
Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validationBurak Kocak, Aytul Hande Yardimci, Ceyda Turan Bektas, et al.
Japanese Journal of Radiology|March 2, 2017
Retrospective study of 24 cases of acute appendiceal diverticulitis: CT findings and pathological correlationsAytul Hande Yardimci, Ceyda Turan Bektas, Esra Pasaoglu, et al.
Journal of Laparoendoscopic & Advanced Surgical Techniques. Part A|September 24, 2025
Impact of Celiac Artery Stenosis on Pancreatic Fistula Incidence after PancreatoduodenectomyMert Guler, Omer Akay, Husnu Sevik, et al.
Japanese Journal of Radiology|August 13, 2022
Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRIAytul Hande Yardimci, Burak Kocak, Ipek Sel, et al.
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