Albert Güveniş

This paper introduces RDBCycleGAN-CBAM, a deep learning model for low-dose CT image denoising, achieving higher PSNR and SSIM than existing methods.

The paper identifies key radiomic features from hippocampal and amygdala subregions in FDG-PET images to differentiate Alzheimer's Disease, MCI, and healthy controls with high accuracy.

This study develops a clinical-radiomics model to predict immunotherapy response in NSCLC patients, identifying a radiomic feature linked to hypoxia and poor outcomes.