Emine Şebnem Durmaz

Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting <i>PBRM1</i> Mutation Status

Burak Koçak, Emine Şebnem Durmaz, Melis Baykara Ulusan · American Journal of Roentgenology · 2019 · 116 citations

Medicine, Oncology, Radiology +17

Influence of segmentation margin on machine learning–based high-dimensional quantitative CT texture analysis: a reproducibility study on renal clear cell carcinomas

Burak Koçak, Emine Şebnem Durmaz, Melis Baykara Ulusan et al. · European Radiology · 2019 · 82 citations

Medicine, Oncology, Radiology +17

Unenhanced CT Texture Analysis of Clear Cell Renal Cell Carcinomas: A Machine Learning–Based Study for Predicting Histopathologic Nuclear Grade

Burak Koçak, Emine Şebnem Durmaz, Ozlem Korkmaz Kaya et al. · American Journal of Roentgenology · 2019 · 81 citations

Medicine, Oncology, Radiology +17

Preoperative evaluation of tumour consistency in pituitary macroadenomas: a machine learning-based histogram analysis on conventional T2-weighted MRI

Amalya Zeynalova, Burak Koçak, Emine Şebnem Durmaz et al. · Neuroradiology · 2019 · 74 citations

Medicine, Oncology, Radiology +17

Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI

Burak Koçak, Emine Şebnem Durmaz, Özge Polat Korkmaz et al. · European Radiology · 2018 · 71 citations

Medicine, Endocrinology, Biomedical Imaging +11