Multi-Center 3D CNN for Parkinson’s disease diagnosis and prognosis using clinical and T1-weighted MRI data
CNN, 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.
Authors
- Massimo Filippi (ORCID: https://orcid.org/0000-0002-5485-0479)
- Alessandro Tessitore (ORCID: https://orcid.org/0000-0003-1740-8566)
- Kristen M. Meiburger (ORCID: https://orcid.org/0000-0002-7302-6135)
- Silvia Basaia
- Rosa De Micco (ORCID: https://orcid.org/0000-0002-6397-8888)
- Stefano Pisano (ORCID: https://orcid.org/0009-0008-0523-9965)
- Massimo Salvi (ORCID: https://orcid.org/0000-0001-7225-7401)
- Filippo Molinari (ORCID: https://orcid.org/0000-0003-1150-2244)
- Roberta Balestrino (ORCID: https://orcid.org/0000-0001-7143-6985)
- Vladimir Kostić (ORCID: https://orcid.org/0000-0002-0184-9802)
- Iva Stanković (ORCID: https://orcid.org/0000-0003-1484-4717)
- Francesco Sciancalepore (ORCID: https://orcid.org/0000-0002-1241-074X)
- Aleksandra Tomić (ORCID: https://orcid.org/0000-0002-2409-4051)
- Elisabetta Sarasso
- Federica Agosta
- Simona Musicco
Institutions
- Vita-Salute San Raffaele University (IT)
- Politecnico di Torino (IT)
- University of Campania "Luigi Vanvitelli" (IT)
- University of Belgrade (RS)
- IRCCS Ospedale San Raffaele (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT)
Publication Details
- Journal
- NeuroImage Clinical
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.nicl.2025.103859
- Citations
- 2
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.78