Ömer Karakoyun

Diagnostic performance and energy consumption of deep learning models for dermoscopic image classification

Deep-learning models for dermoscopy are usually chosen on the basis of accuracy and discrimination, with limited attention to the energy and carbon costs that accompany model development, retraining, and clinical use. If clinical AI is to be governed responsibly, these operationa...

A simulation-based optical safety framework for dermatologic laser wavelength selection across Fitzpatrick skin phototypes

Abstract Laser wavelength selection in dermatology remains challenging across diverse skin phototypes, where inappropriate choice may increase the risk of epidermal injury. This study develops a simulation-based optical safety framework to support wavelength selection by quantify...