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Peer-reviewedCC BYFrontiers in medicine

Absolute and lung volume-normalized deep learning-derived pulmonary vascular measures in idiopathic pulmonary fibrosis: distinct clinical associations and the role of lung volume in prognosis

5 affiliations
  1. 1Radiology Unit, Azienda Ospedaliera dei Colli, Monaldi Hospital , ,
  2. 2Division of Pneumology and Semi-Intensive Respiratory Therapy, AORN A. Cardarelli , ,
  3. 3Respiratory Medicine Unit, Azienda Ospedaliera dei Colli , ,
  4. 4Medical Statistics Unit, Department of Public Health, Federico II University , ,
  5. 5Department of Pneumology, Bichat-Claude Bernard AP-HP, Université Cité Paris , ,

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BibTeX
@article{rea2026absolute,
  title = {{Absolute and lung volume-normalized deep learning-derived pulmonary vascular measures in idiopathic pulmonary fibrosis: distinct clinical associations and the role of lung volume in prognosis}},
  author = {Gaetano Rea and Stefano Sanduzzi Zamparelli and Annalisa Mazzocca and Roberta Lieto and Dario Bruzzese and Bruno Crestani and Marialuisa Bocchino},
  journal = {Frontiers in medicine},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13658197},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Absolute and lung volume-normalized deep learning-derived pulmonary vascular measures in idiopathic pulmonary fibrosis: distinct clinical associations and the role of lung volume in prognosis
AU  - Gaetano Rea
AU  - Stefano Sanduzzi Zamparelli
AU  - Annalisa Mazzocca
AU  - Roberta Lieto
AU  - Dario Bruzzese
AU  - Bruno Crestani
AU  - Marialuisa Bocchino
PY  - 2026
DA  - 2026/10/16
JO  - Frontiers in medicine
UR  - https://europepmc.org/article/PMC/PMC13658197
SN  - 2296-858X
ER  -