Zaigham Saghir
Clinical Associate Professor
Department of Clinical Medicine
Gentofte Hospitalsvej 1, 2900 Hellerup
Member of:
Internal Medicine: Respiratory Medicine
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- 2019
- Published
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs
Juarez, A. G., Selvan, Raghav, Saghir, Zaigham & de Bruijne, Marleen, 22 Aug 2019, Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Springer, p. 583-591 (Lecture Notes in Computer Science, Vol. LNCS 11861).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
'Reduced' HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial
Røe, O. D., Markaki, M., Tsamardinos, I., Lagani, V., Nguyen, O. T. D., Pedersen, J. H., Saghir, Zaigham & Ashraf, H. G., 2019, In: BMJ Open Respiratory Research. 6, 1, 9 p., e000512.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 226566549
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52
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'Reduced' HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
45
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Surveillance With PET/CT and Liquid Biopsies of Stage I-III Lung Cancer Patients After Completion of Definitive Therapy: A Randomized Controlled Trial (SUPER)
Research output: Contribution to journal › Journal article › Research › peer-review
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18
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Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks
Research output: Contribution to journal › Journal article › Research › peer-review
Published