Zaigham Saghir
Clinical Associate Professor
Department of Clinical Medicine
Gentofte Hospitalsvej 1, 2900 Hellerup
Member of:
Internal Medicine: Respiratory Medicine
- 2024
- Accepted/In press
Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimation
Peeters, D., Alves, N., Venkadesh, K. V., Dinnessen, R., Saghir, Zaigham, Scholten, E. T., Schaefer-Prokop, C., Vliegenthart, R., Prokop, M. & Jacobs, C., 2024, (Accepted/In press) In: European Radiology.Research output: Contribution to journal › Journal article › Research › peer-review
- 2023
- Published
Multi-source data approach for personalized outcome prediction in lung cancer screening: update from the NELSON trial
Sidorenkov, G., Stadhouders, R., Jacobs, C., Mohamed Hoesein, F. A. A., Gietema, H. A., Nackaerts, K., Saghir, Z., Heuvelmans, M. A., Donker, H. C., Aerts, J. G., Vermeulen, R., Uitterlinden, A., Lenters, V., van Rooij, J., Schaefer-Prokop, C., Groen, H. J. M., de Jong, P. A., Cornelissen, R., Prokop, M., de Bock, G. H. & 1 others, , 2023, In: European Journal of Epidemiology. 38, 4, p. 445-454 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT
Alves, N., Bosma, J. S., Venkadesh, K. V., Jacobs, C., Saghir, Zaigham, de Rooij, M., Hermans, J. & Huisman, H., 2023, In: Radiology. 308, 3, 11 p., e230275.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules
Vaidhya Venkadesh, K., Aleef, T. A., Scholten, E. T., Saghir, Zaigham, Silva, M., Sverzellati, N., Pastorino, U., van Ginneken, B., Prokop, M. & Jacobs, C., 2023, In: Radiology. 308, 2, p. e223308Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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
Nielsen, S. K., Nouhravesh, N., Jensen, M. H., Jensen, R. F. G., Klein, Mads Falk, Saghir, Zaigham, Nielsen, D., Schou, Morten & Lamberts, Morten Kjøbek, 2023, In: Clinical Epidemiology. 15, p. 483-491 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2022
- Published
Intrapleural fibrinolysis and DNase versus video-assisted thoracic surgery (VATS) for the treatment of pleural empyema (FIVERVATS): Protocol for a randomised, controlled trial - Surgery as first-line treatment
Christensen, T. D., Bendixen, M., Skaarup, S. H., Jensen , Jens-Ulrik Stæhr , Petersen, René Horsleben, Christensen, M., Licht, P., Neckelmann, K., Bibby, B. M., Møller, L. B., Bodtger, U., Borg, M. H., Saghir, Zaigham, Langfeldt, S., Harders, S. M. W., Bedawi, E. O., Naidu, B., Rahman, N. & Laursen, C. B., 2022, In: BMJ Open. 12, 3, e054236.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Risk of Malignancy in Patients with Asthma‐COPD Overlap Compared to Patients with COPD without Asthma
Bonnesen, B., Sivapalan, P., Jordan, A., Pedersen, J. W., Bergsøe, C. M., Eklöf, J., Toennesen, L. L., Jensen, Sidse Graff, Naqibullah, M., Saghir, Zaigham & Jensen , Jens-Ulrik Stæhr , 2022, In: Biomedicines. 10, 7, 1463.Research output: Contribution to journal › Journal article › Research › peer-review
- 2021
- Published
Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks
Garcia-uceda, A., Selvan, Raghav, Saghir, Zaigham, Tiddens, H. A. W. M. & de Bruijne, Marleen, 2021, In: Scientific Reports. 11, 1, 15 p., 16001.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Creating a training set for artificial intelligence from initial segmentations of airways
Dudurych, I., Garcia-Uceda, A., Saghir, Zaigham, Tiddens, H. A. W. M., Vliegenthart, R. & de Bruijne, Marleen, 2021, In: European radiology experimental. 5, 1, 7 p., 54.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Deep learning for malignancy risk estimation of pulmonary nodules detected at low-dose screening CT
Venkadesh, K. V., Setio, A. A. A., Schreuder, A., Scholten, E. T., Chung, K., Wille, M. M. W., Saghir, Zaigham, van Ginneken, B., Prokop, M. & Jacobs, C., 2021, In: Radiology. 300, 2, p. 438-447 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 226566549
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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
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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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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