390 citations · 408 across the 4 of their papers we have counts for
Showing eess.IVShow all
2 papers · 1 filter
eess.IV2023
JointNET: A Deep Model for Predicting Active Sacroiliitis from Sacroiliac Joint Radiography
Sevcan Turk, Ahmet Demirkaya, M Yigit Turali +9
Purpose: To develop a deep learning model that predicts active inflammation from sacroiliac joint radiographs and to compare the success with radiologists. Materials and Methods: A…
eess.IV2022
Machine Learning Based Radiomics for Glial Tumor Classification and Comparison with Volumetric Analysis
Sevcan Turk, Kaya Oguz, Mehmet Orman +6
Purpose; The purpose of this study is to classify glial tumors into grade II, III and IV categories noninvasively by application of machine learning to multi-modal MRI features in…