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Pierluigi Ciet

Showing results (51-60 of 85) with videos related to

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Pediatric Pulmonology|August 19, 2020
Congenital lung abnormality quantification by computed tomography: The CLAQ methodSergei M Hermelijn, Olivier V Dragt, Jochem J Bosch, et al.
Nature Reviews. Disease Primers|November 3, 2023
Congenital lung malformationsFederica Pederiva, Steven S Rothenberg, Nigel Hall, et al.
European Radiology|May 31, 2015
Assessment of CF lung disease using motion corrected PROPELLER MRI: a comparison with CTPierluigi Ciet, Goffredo Serra, Silvia Bertolo, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|November 15, 2021
Chest radiography findings of COVID-19 pneumonia: a specific pattern for a confident differential diagnosisNicholas Landini, Giulia Colzani, Pierluigi Ciet, et al.
Plos One|July 9, 2016
Quantification of Diaphragm Mechanics in Pompe Disease Using Dynamic 3D MRIKatja Mogalle, Adria Perez-Rovira, Pierluigi Ciet, et al.
Thorax|September 21, 2023
Automatic analysis of bronchus-artery dimensions to diagnose and monitor airways disease in cystic fibrosisQianting Lv, Leticia Gallardo-Estrella, Eleni-Rosalina Andrinopoulou, et al.
European Journal of Cardio-Thoracic Surgery : Official Journal of the European Association for Cardio-Thoracic Surgery|January 16, 2023
Preoperative visualization of congenital lung abnormalities: hybridizing artificial intelligence and virtual realityWouter Bakhuis, Casper M Kersten, Amir H Sadeghi, et al.
BJR Open|July 18, 2024
Unlocking the potential of photon counting detector CT for paediatric imaging: a pictorial essayIeva Aliukonyte, Daan Caudri, Ronald Booij, et al.
European Radiology|December 7, 2018
Technical challenges of quantitative chest MRI data analysis in a large cohort pediatric studyAnh H Nguyen, Adria Perez-Rovira, Piotr A Wielopolski, et al.
Pediatric Radiology|September 4, 2023
The unintended consequences of artificial intelligence in paediatric radiologyPierluigi Ciet, Christine Eade, Mai-Lan Ho, et al.
Pageof 9

Showing results (51-60 of 85) with videos related to

Sort By:
Pageof 9
Pediatric Pulmonology|August 19, 2020
Congenital lung abnormality quantification by computed tomography: The CLAQ methodSergei M Hermelijn, Olivier V Dragt, Jochem J Bosch, et al.
Nature Reviews. Disease Primers|November 3, 2023
Congenital lung malformationsFederica Pederiva, Steven S Rothenberg, Nigel Hall, et al.
European Radiology|May 31, 2015
Assessment of CF lung disease using motion corrected PROPELLER MRI: a comparison with CTPierluigi Ciet, Goffredo Serra, Silvia Bertolo, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|November 15, 2021
Chest radiography findings of COVID-19 pneumonia: a specific pattern for a confident differential diagnosisNicholas Landini, Giulia Colzani, Pierluigi Ciet, et al.
Plos One|July 9, 2016
Quantification of Diaphragm Mechanics in Pompe Disease Using Dynamic 3D MRIKatja Mogalle, Adria Perez-Rovira, Pierluigi Ciet, et al.
Thorax|September 21, 2023
Automatic analysis of bronchus-artery dimensions to diagnose and monitor airways disease in cystic fibrosisQianting Lv, Leticia Gallardo-Estrella, Eleni-Rosalina Andrinopoulou, et al.
European Journal of Cardio-Thoracic Surgery : Official Journal of the European Association for Cardio-Thoracic Surgery|January 16, 2023
Preoperative visualization of congenital lung abnormalities: hybridizing artificial intelligence and virtual realityWouter Bakhuis, Casper M Kersten, Amir H Sadeghi, et al.
BJR Open|July 18, 2024
Unlocking the potential of photon counting detector CT for paediatric imaging: a pictorial essayIeva Aliukonyte, Daan Caudri, Ronald Booij, et al.
European Radiology|December 7, 2018
Technical challenges of quantitative chest MRI data analysis in a large cohort pediatric studyAnh H Nguyen, Adria Perez-Rovira, Piotr A Wielopolski, et al.
Pediatric Radiology|September 4, 2023
The unintended consequences of artificial intelligence in paediatric radiologyPierluigi Ciet, Christine Eade, Mai-Lan Ho, et al.
Pageof 9