About this blog
Explainable and trustworthy AI for neuroscience and clinical practice.
Here I write about data science, explainable machine learning and prediction uncertainty in neuroscience, from brain imaging to clinical and cognitive data, trying to make these methods understandable for clinicians and health professionals.
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Latest posts
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The Apothecary Diaries is my favourite anime, and I have just realised that its heroine would make an excellent data… Read more.
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Five editions of the XAIB special session at Brain Informatics: who joined us, what we discussed, and how my thinking… Read more.
4–6 minutes -
Three days in Paestum, one lab on spinal cord imaging biomarkers, and two winning hackathon teams with a Magna Graecia… Read more.
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This paper was born from a simple question I kept asking myself: Can we really trust an AI model if… Read more.
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The fifth edition of XAIB – Explainable Artificial Intelligence for Unveiling the Brain was held within the Congress Brain Informatics 2025, continuing… Read more.
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🚀 New Research Alert! 🚀Excited to share that three of my proceedings have just been published! 🎉 These studies leverage large-scale international neuroimaging datasets and… Read more.
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🚨 Call for Papers! 🚨 📢 Exciting news! I am thrilled to co-organize with Selene Tomassini and FEDERICA ARACRI the Thematic Session (TS) on… Read more.
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The 4th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From Black-Box to Glass-Box 📍 Location: KX Building (11th Floor),… Read more.
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The challenges posed by neurodegenerative diseases like Alzheimer’s and Parkinson’s demand sophisticated technological solutions to improve early diagnosis and patient… Read more.
3–4 minutes -
Highlights from our recent work, presented by Dr. Vera Gramigna at the Explainable AI for Biomedical Images and Signals Special… Read more.
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