Rıfat Volkan Şenyuva

Self-Supervised Poisson Denoising in Biomedical Imaging: Edge-AI Verification of Deep Unrolling Architectures

Biomedical imaging systems typically operate under low signal conditions. As a consequence, the acquired measurements are often affected by Poisson noise, which arises from the stochastic nature of photon counting and varies with the underlying signal intensity. Although supervised deep learning approaches have achieve...