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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.European Radiology|December 4, 2018
Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRIBurak Kocak, Emine Sebnem Durmaz, Pinar Kadioglu, et al.Experimental and Clinical Transplantation : Official Journal of the Middle East Society for Organ Transplantation|February 27, 2014
Pentraxin 3 and C-reactive protein as inflammatory markers after a kidney transplantMeltem Gursu, Kenan Celik, Savas Ozturk, et al.Journal of the Belgian Society of Radiology|February 5, 2024
A Novel Fusion of Radiomics and Semantic Features: MRI-Based Machine Learning in Distinguishing Pituitary Cystic Adenomas from Rathke's Cleft CystsCeylan Altintas Taslicay, Elmire Dervisoglu, Okan Ince, et al.Clinical Kidney Journal|March 20, 2024
Imlifidase in kidney transplantationMehmet Kanbay, Sidar Copur, Mustafa Guldan, et al.European Radiology|July 16, 2024
Evaluating the quality of radiomics-based studies for endometrial cancer using RQS and METRICS toolsLuca Russo, Silvia Bottazzi, Burak Kocak, et al.Pediatric Transplantation|September 15, 2021
Improving the urine spot protein/creatinine ratio by the estimated creatinine excretion to predict proteinuria in pediatric kidney transplant recipientsSaid Incir, Mehmet Tasdemir, Burak Kocak, et al.Endocrine-Related Cancer|June 23, 2026
Lineage-Specific Steroidomic Signatures in Pituitary Neuroendocrine Tumors: Pregnenolone Enrichment in SF-1 Lineage and Associations with Tumor BehaviorEbubekir Akpinar, Aslihan Pekmezci, Suat Demir, et al.Frontiers in Medicine|July 3, 2026
CD3+ T-cell count prediction for anti-thymocyte globulin treatment monitorization in kidney transplant recipients: a machine learning modelAhmet B Ak, Hayri K Goren, Nuri B Hasbal, et al.Pageof 12