1 citations · 2 across the 4 of their papers we have counts for
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Hierarchical Graph Representations in Digital Pathology
Pushpak Pati, Guillaume Jaume, Antonio Foncubierta +14
Cancer diagnosis, prognosis, and therapy response predictions from tissue specimens highly depend on the phenotype and topological distribution of constituting histological entitie…
Gigapixel Histopathological Image Analysis using Attention-based Neural Networks
Nadia Brancati, Giuseppe De Pietro, Daniel Riccio +1
Although CNNs are widely considered as the state-of-the-art models in various applications of image analysis, one of the main challenges still open is the training of a CNN on high…
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes +13
Cancer diagnosis, prognosis, and therapeutic response prediction are heavily influenced by the relationship between the histopathological structures and the function of the tissue.…
A CNN-Based Super-Resolution Technique for Active Fire Detection on Sentinel-2 Data
Massimiliano Gargiulo, Domenico Antonio Giuseppe Dell'Aglio, Antonio Iodice +2
Remote Sensing applications can benefit from a relatively fine spatial resolution multispectral (MS) images and a high revisit frequency ensured by the twin satellites Sentinel-2.…