Reconstructing functional brain networks from functional Magnetic Resonance Imaging (fMRI) data typically relies on statistical pruning, where pairwise correlations between brain Regions of Interest (ROIs) are independently thresholded, ignoring pote... read more
Skin aging involves complex molecular changes that current strategies struggle to reverse. Here, we developed a machine learning approach using Support Vector Regression to predict biological skin age from proteomic profiles, enabling objective asses... read more
This work introduces SqueezeViT (Squeeze Vision Transformers), a compact yet effective architecture based on Vision Transformers (ViT) designed for chest X-ray (CXR) image classification. In contrast to traditional ViT architectures, which are comput... read more
Automatic and high-precision video-based animal re-identification (Re-ID) has become an important tool for wildlife conservation and behavioral research. However, state-of-the-art image-based methods, while effective on static images, fail to make fu... read more
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