2 citations · 3 across the 2 of their papers we have counts for
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cs.CV2023★ 1 cited
CleftGAN: Adapting A Style-Based Generative Adversarial Network To Create Images Depicting Cleft Lip Deformity
Abdullah Hayajneh, Erchin Serpedin, Mohammad Shaqfeh +2
A major obstacle when attempting to train a machine learning system to evaluate facial clefts is the scarcity of large datasets of high-quality, ethics board-approved patient image…
cs.CV2022★ 2 cited
Unsupervised Anomaly Appraisal of Cleft Faces Using a StyleGAN2-based Model Adaptation Technique
Abdullah Hayajneh, Mohammad Shaqfeh, Erchin Serpedin +1
This paper presents a novel machine learning framework to consistently detect, localize and rate congenital cleft lip anomalies in human faces. The goal is to provide a universal,…