MitraClip device automated localization in 3D transesophageal echocardiography via deep learning
This pipeline enhanced clip visualization, providing fast and accurate detection with quantitative feedback, potentially improving procedural efficiency and reducing adverse outcomes.
Authors
- Eustachio Agricola (ORCID: https://orcid.org/0000-0002-4834-2187)
- Luca Vicentini
- Francesco Sturla (ORCID: https://orcid.org/0000-0001-7317-304X)
- Davide Tondi (ORCID: https://orcid.org/0009-0009-8038-5476)
- Giacomo Ingallina (ORCID: https://orcid.org/0000-0002-4102-6405)
- Emiliano Votta (ORCID: https://orcid.org/0000-0001-7115-0151)
- Riccardo Munafò (ORCID: https://orcid.org/0000-0002-5624-2776)
- Simone Saitta (ORCID: https://orcid.org/0000-0002-3974-5945)
- Andrea Guidotti
- Veronica Ruozzi
Institutions
- Vita-Salute San Raffaele University (IT)
- IRCCS Policlinico San Donato (IT)
- Simula School (NO)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT)
- Politecnico di Milano (IT)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-09-27
- DOI
- https://doi.org/10.1016/j.cmpb.2025.109083
- Citations
- 1
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- European Commission