research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification 7 citations , October 2023 in “Journal of Intelligent & Fuzzy Systems” The new model improves Alopecia Areata classification accuracy to 93.1%.
research Generative adversarial networks for anonymous acneic face dataset generation April 2024 in “PLoS ONE” The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.