DECODE: An open-source cloud-based platform for the noninvasive management of peripheral artery disease
DECODE provides an automated, cloud-integrated solution for PAD diagnosis and intervention planning, combining deep learning, computational modeling, and high-fidelity visualization. The platform enables precise vascular analysis, real-time procedural simulation, and interactive clinical decision support. By streamlining image processing, enhancing segmentation accuracy, and enabling in-silico trials, DECODE offers a scalable infrastructure for personalized vascular care and sets a new benchmark in digital health technologies for PAD.
Authors
- Nenad Filipović (ORCID: https://orcid.org/0000-0001-9964-5615)
- Lemana Spahić (ORCID: https://orcid.org/0000-0002-0922-6335)
- Giancarlo Pennati (ORCID: https://orcid.org/0000-0003-4515-0101)
- Miloš Anić (ORCID: https://orcid.org/0000-0002-3267-8217)
- Leo Benolić (ORCID: https://orcid.org/0000-0001-7273-0756)
- Francesca Berti (ORCID: https://orcid.org/0000-0001-8621-2503)
- Dimitrios I. Fotiadis (ORCID: https://orcid.org/0000-0002-5987-9350)
- Manahil Zulfiqar (ORCID: https://orcid.org/0009-0002-5875-6049)
- Vassiliki T. Potsika
- Mohammed A. AboArab (ORCID: https://orcid.org/0009-0005-9459-3795)
- Andrzej Skalski (ORCID: https://orcid.org/0000-0003-2299-458X)
- Spyridon Psarras (ORCID: https://orcid.org/0000-0001-7757-6823)
- Hassan Saeed (ORCID: https://orcid.org/0009-0005-9255-2148)
- Vassilis Kostopoulos (ORCID: https://orcid.org/0000-0003-0051-0732)
- Elisabetta Stretti
Institutions
- University of Kragujevac (RS)
- University of Patras (GR)
- University of Ioannina (GR)
- AGH University of Krakow (PL)
- Politecnico di Milano (IT)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1016/j.cmpb.2025.109037
- Citations
- 1
- Primary Topic
- Peripheral Artery Disease Management
- Type
- article
- Field-Weighted Citation Impact
- 2.01