Author

Sara Moccia

2 papers indexed here

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Open access Aug 2026

Domain-specific ControlNet training for neonatal pose-conditioned image generation

Several automatic approaches have been proposed to analyse spontaneous movements in infants, but translation to clinical practice remains limited by the scarcity of neonatal data, especially in preterm populations. Generative models can help expand existing datasets, yet current solutions—such as generative adversa...

Piergiuseppe Liuzzi, Lucia Migliorelli, Daniele Berardini et al. · Scientific Reports · 0 citations

#artificial intelligence Preprint Sep 2026

The Blind Spot in 2D Infants'Pose Estimation:Robust Learning from Noisy Annotations

Noisy annotations pose a significant challenge for supervised deep learning, as neural networks rely on large-scale, high-quality labeled data whose corruption can severely impair model performance. Although robustness to label noise has been extensively studied for classification tasks, it remains relatively underexpl...

Emanuele Cardinale, Marco Proietti, Alessandro Cacciatore et al. · 1 citation