Recent deep facial phenotyping methods can support the recognition of genetic syndromes, but patient images are often scarce and unevenly distributed across disorders. Synthetic facial images offer a way to supplement the training data without collecting additional patient photographs. Their usefulness, however, depend...
Miles Liao, Zhanliang Wang, Hong-Zhuo Chen et al.· 0 citations
Many rare genetic diseases are associated with recognizable craniofacial features. However, traditional approaches for describing facial morphology rely largely on qualitative clinical observation and free-text descriptions, which are often subjective, non-standardized, and difficult to reproduce across observers and i...
Hong-Zhuo Chen, Zhanliang Wang, Florent Pollet et al.· 0 citations
This work proposes maximizing the entropy of predictive distributions as the calibration objective, which directly targets overconfidence by discouraging overly concentrated predictions, and adopts an efficient first-order approximation that avoids explicit second-order computation.
Ruochen Jin, Zhanliang Wang, Zong-Yu Dai et al.· 0 citations
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