Research output per year
Research output per year
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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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, Z., Scholten, E. T., Schaefer-Prokop, C., Vliegenthart, R., Prokop, M. & Jacobs, C., 2024, In: European Radiology. 34, 10, p. 6639-6651 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)1 Downloads (Pure) -
Håndtering af tilfældige noduli i lungerne ved CT
Arshad, A., Saghir, Z., Borg, M., Juul, A. D. & Harders, S. M. W., 2024, In: Ugeskrift for Laeger. 186, 7, p. 712-715 4 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Invester i krisetider – skal vi se screening for lungekræft som en investering?
Saghir, Z., 2024, In: Ugeskrift for Laeger. 186, 7A, p. 716-717 2 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Management of incidental pulmonary nodules in CT examination
Arshad, A., Saghir, Z., Borg, M., Juul, A. D. & Harders, S. M. W., 1 Apr 2024, In: Ugeskrift for Laeger. 186, 14Research output: Contribution to journal › Review › Research › peer-review
Open Access -
Erratum for: 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, Z., de Rooij, M., Hermans, J. & Huisma, H., 1 Oct 2023, In: Radiology. 309, 1, p. e239023Research output: Contribution to journal › Comment/debate › Research › peer-review
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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
Open AccessFile7 Citations (Scopus)6 Downloads (Pure) -
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, Z., 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
8 Citations (Scopus) -
Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules
Vaidhya Venkadesh, K., Aleef, T. A., Scholten, E. T., Saghir, Z., 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
10 Citations (Scopus)