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Sisli Etfal Hastanesi Tip Bulteni|October 30, 2023
Can the Combination of Magnetic Resonance Imaging, Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio Predict the Mass Origin in Ovarian Masses?Merve Aldikactioglu Talmac, Tolga Ciftpinar, Merve Sam Ozdemir, 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.
Annali Italiani Di Chirurgia|January 11, 2017
Preoperative localization of distal colorectal tumoursSavas Bayrak, Erdem Kinaci, Abdulkerim Ozakay, et al.
Academic Radiology|December 16, 2022
Transparency in Artificial Intelligence Research: a Systematic Review of Availability Items Related to Open Science in Radiology and Nuclear MedicineBurak Kocak, Aytul Hande Yardimci, Sabahattin Yuzkan, 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.
Revista Espanola De Medicina Nuclear E Imagen Molecular|February 8, 2025
Predicting complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: The role of baseline volumetric 18F-FDG PET/CT parameters and inflammatory markersGokmen Umut Erdem, Ozge Vural Topuz, Esranur Acar, 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.
Japanese Journal of Radiology|March 7, 2020
Computed tomography texture analysis in patients with gastric cancer: a quantitative imaging biomarker for preoperative evaluation before neoadjuvant chemotherapy treatmentAytul Hande Yardimci, Ipek Sel, Ceyda Turan Bektas, et al.
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