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Get Free AccessCNN, integrating multimodal data and transfer learning, provides encouraging results toward early-stage classification and progression monitoring in PD. Its explainability through activation maps offers potential for clinical application in early diagnosis and personalized monitoring.
Silvia Basaia, Elisabetta Sarasso, Francesco Sciancalepore, Roberta Balestrino, Simona Musicco, Stefano Pisano, Iva Stanković, Aleksandra Tomić, Rosa De Micco, Alessandro Tessitore, Massimo Salvi, Kristen M. Meiburger, Vladimir Kostić, Filippo Molinari, Federica Agosta, Massimo Filippi (2025). Multi-Center 3D CNN for Parkinson’s disease diagnosis and prognosis using clinical and T1-weighted MRI data. , 48, DOI: https://doi.org/10.1016/j.nicl.2025.103859.
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Type
Article
Year
2025
Authors
16
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1016/j.nicl.2025.103859
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