Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT
Our approach shows potential for improving BOS diagnosis by enabling early detection and management. The ability to detect BOS from standard-resolution scans at any stage of respiration makes this method more accessible than previous approaches. Additionally, our findings highlight that techniques to limit overfitting are crucial for unlocking the potential of DNNs in low-data settings, which could assist clinicians in BOS studies with limited patient data.
Authors
- Horst Bischof (ORCID: https://orcid.org/0000-0002-9096-6671)
- Argyro Vraka
- Nahal Mansouri (ORCID: https://orcid.org/0000-0002-8348-0737)
- Alessio Casutt (ORCID: https://orcid.org/0000-0003-3824-9613)
- Doruk Öner (ORCID: https://orcid.org/0000-0002-9403-4628)
- Pascal Fua (ORCID: https://orcid.org/0000-0002-6702-9970)
- John‐David Aubert (ORCID: https://orcid.org/0000-0001-8856-4000)
- Sahand Jamal Rahi (ORCID: https://orcid.org/0000-0001-6442-7087)
- Martin Urschler (ORCID: https://orcid.org/0000-0001-5792-3971)
- Michele De Palma (ORCID: https://orcid.org/0000-0001-9128-5459)
- Mateusz Koziński (ORCID: https://orcid.org/0000-0002-3187-518X)
- Angela Koutsokera (ORCID: https://orcid.org/0000-0003-1227-1679)
- Christophe von Garnier (ORCID: https://orcid.org/0000-0003-3585-9176)
- Jakub Gwizdała
- Catherine Beigelman-Aubry
Institutions
- Bilkent University (TR)
- Medical University of Graz (AT)
- Centre Hospitalier Universitaire Vaudois (CH)
- Graz University of Technology (AT)
- Ospedale regionale di Lugano (CH)
- Swiss Cancer Center Léman (CH)
- École Polytechnique Fédérale de Lausanne (CH)
- Università della Svizzera italiana (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1038/s43856-025-00732-x
- Citations
- 1
- Primary Topic
- Transplantation: Methods and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Austrian Science Fund