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Lung Cancer (Amsterdam, Netherlands)
|
July 13, 2010
Contamination during 4 years of annual CT screening in the Danish Lung Cancer Screening Trial (DLCST)
Zaigham Saghir, Haseem Ashraf, Asger Dirksen, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference
|
July 19, 2011
Optimal graph based segmentation using flow lines with application to airway wall segmentation
Jens Petersen, Mads Nielsen, Pechin Lo, et al.
Ugeskrift for Laeger
|
April 12, 2024
Arman Arshad, Zaigham Saghir, Morten Borg, et al.
Radiology. Artificial Intelligence
|
August 20, 2025
Characterizing the Impact of Training Data on Generalizability: Application in Deep Learning to Estimate Lung Nodule Malignancy Risk
Bogdan Obreja, Joeran Bosma, Kiran Vaidhya Venkadesh, et al.
Medical Physics
|
October 15, 2021
Assessment of fully automatic segmentation of pulmonary artery and aorta on noncontrast CT with optimal surface graph cuts
Zahra Sedghi Gamechi, Andres M Arias-Lorza, Zaigham Saghir, et al.
Lung Cancer (Amsterdam, Netherlands)
|
January 15, 2014
Healthcare costs in the Danish randomised controlled lung cancer CT-screening trial: a registry study
Jakob F Rasmussen, Volkert Siersma, Jesper H Pedersen, et al.
European Clinical Respiratory Journal
|
June 26, 2016
Bronchoscopy as a supplement to computed tomography in patients with haemoptysis may be unnecessary
Klaus Nielsen, Magnus Gottlieb, Sara Colella, et al.
European Journal of Cancer (Oxford, England : 1990)
|
January 17, 2026
Why are patients with non-small cell lung cancer in stage I-IIIA considered inoperable? A registry-based study from the capital region of Denmark
Thomas Budolfsen, Rene Horsleben Petersen, Lars Borgbjerg Møller, et al.
Scientific Reports
|
August 7, 2021
Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks
Antonio Garcia-Uceda, Raghavendra Selvan, Zaigham Saghir, et al.
BMJ Open Respiratory Research
|
December 25, 2024
Identifying the population to be targeted in a lung cancer screening programme in Denmark
María Del Pilar Fernández Montejo, Zaigham Saghir, Uffe Bødtger, et al.
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of 5
Search research articles
Search
Showing results (1-10 of 48) with videos related to
Sort By:
Page
of 5
Lung Cancer (Amsterdam, Netherlands)
|
July 13, 2010
Contamination during 4 years of annual CT screening in the Danish Lung Cancer Screening Trial (DLCST)
Zaigham Saghir, Haseem Ashraf, Asger Dirksen, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference
|
July 19, 2011
Optimal graph based segmentation using flow lines with application to airway wall segmentation
Jens Petersen, Mads Nielsen, Pechin Lo, et al.
Ugeskrift for Laeger
|
April 12, 2024
Arman Arshad, Zaigham Saghir, Morten Borg, et al.
Radiology. Artificial Intelligence
|
August 20, 2025
Characterizing the Impact of Training Data on Generalizability: Application in Deep Learning to Estimate Lung Nodule Malignancy Risk
Bogdan Obreja, Joeran Bosma, Kiran Vaidhya Venkadesh, et al.
Medical Physics
|
October 15, 2021
Assessment of fully automatic segmentation of pulmonary artery and aorta on noncontrast CT with optimal surface graph cuts
Zahra Sedghi Gamechi, Andres M Arias-Lorza, Zaigham Saghir, et al.
Lung Cancer (Amsterdam, Netherlands)
|
January 15, 2014
Healthcare costs in the Danish randomised controlled lung cancer CT-screening trial: a registry study
Jakob F Rasmussen, Volkert Siersma, Jesper H Pedersen, et al.
European Clinical Respiratory Journal
|
June 26, 2016
Bronchoscopy as a supplement to computed tomography in patients with haemoptysis may be unnecessary
Klaus Nielsen, Magnus Gottlieb, Sara Colella, et al.
European Journal of Cancer (Oxford, England : 1990)
|
January 17, 2026
Why are patients with non-small cell lung cancer in stage I-IIIA considered inoperable? A registry-based study from the capital region of Denmark
Thomas Budolfsen, Rene Horsleben Petersen, Lars Borgbjerg Møller, et al.
Scientific Reports
|
August 7, 2021
Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks
Antonio Garcia-Uceda, Raghavendra Selvan, Zaigham Saghir, et al.
BMJ Open Respiratory Research
|
December 25, 2024
Identifying the population to be targeted in a lung cancer screening programme in Denmark
María Del Pilar Fernández Montejo, Zaigham Saghir, Uffe Bødtger, et al.
Page
of 5