Zaigham Saghir
Klinisk lektor
Institut for Klinisk Medicin
Gentofte Hospitalsvej 1, 2900 Hellerup
Medlem af:
Intern medicin: lungesygdomme
1 - 2 ud af 2Pr. side: 10
- 2019
- Udgivet
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, s. 583-591 (Lecture Notes in Computer Science, Bind LNCS 11861).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
'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, I: BMJ Open Respiratory Research. 6, 1, 9 s., e000512.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
ID: 226566549
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51
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'Reduced' HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
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)
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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18
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Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet