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Zaigham Saghir

Showing results (21-30 of 48) with videos related to

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BMJ Open Respiratory Research|December 6, 2019
'Reduced' HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trialOluf Dimitri Røe, Maria Markaki, Ioannis Tsamardinos, et al.
IEEE Transactions on Medical Imaging|August 20, 2019
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value TheoremRuwan Tennakoon, Gerda Bortsova, Silas Orting, et al.
BMC Pulmonary Medicine|March 20, 2020
Increased respiratory morbidity in individuals with interstitial lung abnormalitiesNils Hoyer, Laura H Thomsen, Mathilde M W Wille, et al.
Respiratory Medicine|March 5, 2018
Interstitial lung abnormalities are associated with increased mortality in smokersNils Hoyer, Mathilde M W Wille, Laura H Thomsen, et al.
Clinical Epidemiology|May 2, 2023
The Validity of a New Procedure-Based Definition of Cancer Status in Patients with Breast-, Lung- and Colorectal Cancer in the Danish National Patient RegistrySebastian Kinnberg Nielsen, Nina Nouhravesh, Mads Hashiba Jensen, et al.
European Radiology|March 27, 2024
Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimationDré Peeters, Natália Alves, Kiran V Venkadesh, et al.
Radiology|August 1, 2023
Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary NodulesKiran Vaidhya Venkadesh, Tajwar Abrar Aleef, Ernst T Scholten, et al.
Radiology|May 18, 2021
Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CTKiran Vaidhya Venkadesh, Arnaud A A Setio, Anton Schreuder, et al.
Biomedicines|July 27, 2022
Risk of Malignancy in Patients with Asthma-COPD Overlap Compared to Patients with COPD without AsthmaBarbara Bonnesen, Pradeesh Sivapalan, Alexander Jordan, et al.
European Radiology|March 13, 2015
Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening TrialMathilde M Winkler Wille, Sarah J van Riel, Zaigham Saghir, et al.
Pageof 5

Showing results (21-30 of 48) with videos related to

Sort By:
Pageof 5
BMJ Open Respiratory Research|December 6, 2019
'Reduced' HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trialOluf Dimitri Røe, Maria Markaki, Ioannis Tsamardinos, et al.
IEEE Transactions on Medical Imaging|August 20, 2019
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value TheoremRuwan Tennakoon, Gerda Bortsova, Silas Orting, et al.
BMC Pulmonary Medicine|March 20, 2020
Increased respiratory morbidity in individuals with interstitial lung abnormalitiesNils Hoyer, Laura H Thomsen, Mathilde M W Wille, et al.
Respiratory Medicine|March 5, 2018
Interstitial lung abnormalities are associated with increased mortality in smokersNils Hoyer, Mathilde M W Wille, Laura H Thomsen, et al.
Clinical Epidemiology|May 2, 2023
The Validity of a New Procedure-Based Definition of Cancer Status in Patients with Breast-, Lung- and Colorectal Cancer in the Danish National Patient RegistrySebastian Kinnberg Nielsen, Nina Nouhravesh, Mads Hashiba Jensen, et al.
European Radiology|March 27, 2024
Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimationDré Peeters, Natália Alves, Kiran V Venkadesh, et al.
Radiology|August 1, 2023
Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary NodulesKiran Vaidhya Venkadesh, Tajwar Abrar Aleef, Ernst T Scholten, et al.
Radiology|May 18, 2021
Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CTKiran Vaidhya Venkadesh, Arnaud A A Setio, Anton Schreuder, et al.
Biomedicines|July 27, 2022
Risk of Malignancy in Patients with Asthma-COPD Overlap Compared to Patients with COPD without AsthmaBarbara Bonnesen, Pradeesh Sivapalan, Alexander Jordan, et al.
European Radiology|March 13, 2015
Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening TrialMathilde M Winkler Wille, Sarah J van Riel, Zaigham Saghir, et al.
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