Z. Saghir

发表

CT screening for lung cancer brings forward early disease. The randomised Danish Lung Cancer Screening Trial: status after five annual screening rounds with low-dose CT

A. Dirksen, P. Clementsen, K. R. Larsen, 2012, Thorax.

Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening Trial

Colin Jacobs, Asger Dirksen, Jesper Holst Pedersen, 2015, European Radiology.

CT screening of lung cancer brings forward early disease: The Danish Lung Cancer Screening Trial (DLCST): Status after five years of CT screening

B. Skov, J. Brodersen, Z. Saghir, 2011 .

Increased respiratory morbidity in individuals with interstitial lung abnormalities

A. Dirksen, H. Ashraf, J. Pedersen, 2019, BMC Pulmonary Medicine.

Surveillance With PET/CT and Liquid Biopsies of Stage I-III Lung Cancer Patients After Completion of Definitive Therapy: A Randomized Controlled Trial (SUPER).

S. Nielsen, G. Persson, J. Søgaard, 2019, Clinical lung cancer.

Growth of the thoracic aorta in the smoking population: The Danish Lung Cancer Screening Trial.

Marleen de Bruijne, J. Roos‐Hesselink, I. Kardys, 2020, International journal of cardiology.

Risk of Malignancy in Patients with Asthma-COPD Overlap Compared to Patients with COPD without Asthma

P. Sivapalan, Z. Saghir, J. Eklöf, 2022, Biomedicines.

Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT.

Kiran Vaidhya Venkadesh, B. van Ginneken, M. Prokop, 2021, Radiology.

Recommendations for Implementing Lung Cancer Screening with Low-Dose Computed Tomography in Europe

H. D. de Koning, M. Oudkerk, C. Henschke, 2020, Cancers.

Ground-Glass Opacity Lung Nodules in the Era of Lung Cancer CT Screening: Radiology, Pathology, and Clinical Management.

Jesper Holst Pedersen, Zaigham Saghir, Haseem Ashraf, 2016, Oncology.

Risk of Chronic Obstructive Pulmonary Disease Exacerbation in Patients Who Use Methotrexate—A Nationwide Study of 58,580 Outpatients

T. Biering-Sørensen, J. Jensen, P. Sivapalan, 2021, Biomedicines.

Results of the Randomized Danish Lung Cancer Screening Trial with Focus on High-Risk Profiling.

Asger Dirksen, Jann Mortensen, Zaigham Saghir, 2016, American journal of respiratory and critical care medicine.

Smoking habits in the randomised Danish Lung Cancer Screening Trial with low-dose CT: final results after a 5-year screening programme

A. Dirksen, H. Ashraf, J. Pedersen, 2014, Thorax.

Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem

Marleen de Bruijne, Ruwan Tennakoon, Alireza Bab-Hadiashar, 2020, IEEE Transactions on Medical Imaging.

Contamination during 4 years of annual CT screening in the Danish Lung Cancer Screening Trial (DLCST).

A. Dirksen, J. Brodersen, H. Ashraf, 2011, Lung cancer.

Implementation of lung cancer CT screening in the Nordic countries

L. Ek, H. Ashraf, J. Pedersen, 2017, Acta oncologica.

Healthcare costs in the Danish randomised controlled lung cancer CT-screening trial: a registry study.

J. Brodersen, J. Pedersen, Z. Saghir, 2014, Lung cancer.

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, Marleen de Bruijne, 2021, Medical physics.

Interstitial lung abnormalities are associated with increased mortality in smokers.

A. Dirksen, H. Ashraf, J. Pedersen, 2018, Respiratory medicine.

Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation

Marleen de Bruijne, Mads Nielsen, Jens Petersen, 2011, IPMI.

Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks

A. Garcia-Uceda Juarez, R. Selvan, Z. Saghir, 2021, Scientific Reports.

Ensuring Basic Competence in Thoracentesis

L. Konge, P. Clementsen, C. Laursen, 2019, Respiration.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs pdf

Marleen de Bruijne, Raghavendra Selvan, Zaigham Saghir, 2019, MLMI@MICCAI.

Multi-source data approach for personalized outcome prediction in lung cancer screening: update from the NELSON trial

H. C. Donker, H. Gietema, K. Nackaerts, 2023, European Journal of Epidemiology.

‘Reduced’ HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial

H. Ashraf, J. Pedersen, V. Lagani, 2019, BMJ Open Respiratory Research.

The Validity of a New Procedure-Based Definition of Cancer Status in Patients with Breast-, Lung- and Colorectal Cancer in the Danish National Patient Registry

M. Schou, Z. Saghir, M. Klein, 2023, Clinical epidemiology.

Healthcare costs in the Danish randomised controlled lung cancer CT-screening trial: a registry study.

J. Brodersen, J. Pedersen, Z. Saghir, 2014, Lung Cancer.

Bronchoscopy as a supplement to computed tomography in patients with haemoptysis may be unnecessary

P. Clementsen, Z. Saghir, S. Colella, 2016, European clinical respiratory journal.

CT screening for lung cancer brings forward early disease. The randomised Danish Lung Cancer Screening Trial: status after five annual screening rounds with low-dose CT

A. Dirksen, P. Clementsen, B. Skov, 2012, Thorax.

Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT.

Joeran S. Bosma, H. Huisman, C. Jacobs, 2023, Radiology.

Lung cancer screening in Denmark

Z. Saghir, C. de Koning, 2022, Medicom Conference Report NLC 2022.

Smoking habits in the randomised Danish Lung Cancer Screening Trial with low-dose CT: final results after a 5-year screening programme

A. Dirksen, H. Ashraf, J. Pedersen, 2014, Thorax.

Creating a training set for artificial intelligence from initial segmentations of airways

Marleen de Bruijne, R. Vliegenthart, H. Tiddens, 2021, European Radiology Experimental.