This is the research I started during my post-doc, funded by the PRIN project "HAND: Handwriting Analysis against Neuromuscular Disease". Since then, I have expanded the topic in other ways.
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AI & e-health
AI & e-health
Integrating AI in e-health can transform various aspects of health care, from diagnosis and treatment to patient monitoring and personalized medicine. One of the main advantages of AI in e-health is its ability to process large amounts of medical data quickly and accurately, enabling healthcare providers to make more informed decisions. For example, these algorithms can identify patterns the human eye cannot distinguish, enabling earlier detection of disease and improved treatment outcomes.
Some publications
Some publications
Amendola, D., Basile, A., Castellano, G., Vessio, G., Zaza, G. From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation. IJCNN (2024)
Castellano, G., Esposito, A., Lella, E., Montanaro, G., Vessio, G. Automated detection of Alzheimer's disease: a multi-modal approach with 3D MRI and amyloid PET. Scientific Reports (2024)
Castellano, G., Lella, E., Longo, V., Placidi, G., Polsinelli, M., Vessio, G. Combining Unsupervised and Supervised Deep Learning for Alzheimer's Disease Detection by Fractional Anisotropy Imaging. CBMS (2023)
De Ruvo, S., Pio, G., Vessio, G., Volpe, V. Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy. Medical & Biological Engineering & Computing (2023)
Moetesum, M., Diaz, M., Masroor, U., Siddiqi, I. & Vessio, G. A survey of visual and procedural handwriting analysis for neuropsychological assessment. Neural Computing and Applications (2022)
Casalino, G., Castellano, G., Consiglio, A., Nuzziello, N. & Vessio, G. MicroRNA expression classification for pediatric multiple sclerosis identification. Journal of Ambient Intelligence and Humanized Computing (2021)
Diaz, M., Moetesum, M., Siddiqi, I. & Vessio, G. Sequence-based dynamic handwriting analysis for Parkinson's disease detection with one-dimensional convolutions and BiGRUs. Expert Systems with Applications (2021)
Lella, E. & Vessio, G. Ensembling complex network 'perspectives' for mild cognitive impairment detection with artificial neural networks. Pattern Recognition Letters (2020)
Vessio, G. Dynamic Handwriting Analysis for Neurodegenerative Disease Assessment: A Literary Review. Applied Sciences (2019)
Diaz, M., Ferrer, M.A., Impedovo, D., Pirlo, G. & Vessio, G. Dynamically enhanced static handwriting representation for Parkinson’s disease detection. Pattern Recognition Letters (2019)
Angelillo, M.T., Balducci, F., Impedovo, D., Pirlo, G. & Vessio, G. Attentional Pattern Classification for Automatic Dementia Detection. IEEE Access (2019)
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