| 2024 |
Leveraging Deep Embeddings for Explainable Medical Image Analysis |
Capitolo o Saggio |
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| 2024 |
Bacteria Taxonomic Classification using Graph Neural Networks |
Contributo in atti di convegno pubblicato in volume |
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| 2024 |
Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective |
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| 2023 |
Deep Metric Learning for Transparent Classification of Covid-19 X-Ray Images |
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| 2023 |
Breast Cancer Histologic Grade Identification by Graph Neural Network Embeddings |
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| 2023 |
Metric Learning in Histopathological Image Classification: Opening the Black Box |
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| 2023 |
Visualization and Analysis of Transformer Attention |
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| 2022 |
Fuzzy Clustering of Histopathological Images Using Deep Learning Embeddings |
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| 2022 |
Deep Metric Learning for Histopathological Image Classification |
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