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Journal of Oncology|November 30, 2019
Diagnostic Value of Machine Learning-Based Quantitative Texture Analysis in Differentiating Benign and Malignant Thyroid NodulesBulent Colakoglu, Deniz Alis, Mert YerginEuropean Radiology|October 14, 2020
The influence of cardiac motion on radiomics features: radiomics features of non-enhanced CMR cine images greatly vary through the cardiac cycleDeniz Alis, Mert Yergin, Ozan Asmakutlu, et al.Insights Into Imaging|June 19, 2023
Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center studyAhmet Karagoz, Deniz Alis, Mustafa Ege Seker, et al.Japanese Journal of Radiology|November 20, 2019
Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomasDeniz Alis, Omer Bagcilar, Yeseren Deniz Senli, et al.Scientific Reports|June 15, 2021
Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter studyDeniz Alis, Mert Yergin, Ceren Alis, et al.Scientific Reports|February 9, 2022
A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CTDeniz Alis, Ceren Alis, Mert Yergin, et al.Scientific Reports|May 31, 2023
Automated LVO detection and collateral scoring on CTA using a 3D self-configuring object detection network: a multi-center studyOmer Bagcilar, Deniz Alis, Ceren Alis, et al.Pageof 1