Monique Dorrius

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34 Article
10 Meeting Abstract
3 Review article
1 Book/Film/Article review
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- 1 Editorial
- 1 Thesis fully internal (DIV)

Automatic Lung Nodule Detection by a Deep Learning-Based CAD System: The Value of Slab Thickness in the Maximum Intensity Projection Technique
Zheng, S., Cui, X., Vonder, M., Veldhuis, R., Dorrius, M., Ye, Z., Vliegenthart, R., Oudkerk, M. & Van Ooijen, P., Mar-2021, In: Journal of Thoracic Oncology. 16, 3, p. S479-S480 2 p.
Research output: Contribution to journal › Meeting Abstract › Academic
Computed Tomography Screening for Early Lung Cancer, COPD and Cardiovascular Disease in Shanghai: Rationale and Design of a Population-based Comparative Study
Du, Y., Lin, Q., Sidorenkov, G., Vonder, M., Cai, J., de Bock, G. H., Guan, Y., Xia, Y., Zhou, X., Zhang, D., Rook, M., Vliegenthart, R., Heuvelmans, M., Dorrius, M., Ooijen, van, P., Groen, H. J. M., Harst, van der, P., Xiao, Y., Ye, Z., Xie, X. & 4 others, Wang, W., Oudkerk, M., Li, F. & Liu, S., Jan-2021, In: Academic Radiology. 28, 1, p. 36-45 10 p.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File

2 Citations (Scopus)

29 Downloads (Pure)
Cost-effectiveness of lung cancer screening with low-dose computed tomography in China: A modeling study
Du, Y., Li, Y., Sidorenkov, G., Ye, Z., Vliegenthart, R., Heuvelmans, M. A., Dorrius, M., Groen, H. J. M., Liu, S., Fan, L., Greuter, M. J. W. & de Bock, G. H., Apr-2021, In: Journal of Thoracic Oncology. 16, 4, p. S714-S714 1 p.
Research output: Contribution to journal › Meeting Abstract › Academic
Diffusion weighted imaging of the breast: Performance of standardized breast tumor tissue selection methods in clinical decision making
Wielema, M., Sijens, P. E., Dijkstra, H., De Bock, G. H., van Bruggen, I. G., Siegersma, J. E., Langius, E., Pijnappel, R. M., Dorrius, M. D. & Oudkerk, M., 25-Jan-2021, In: PLoS ONE. 16, 1, 13 p., 0245930.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
File

10 Downloads (Pure)
Evaluating the Feasibility of a Deep Learning-Based Computer-Aided Detection System for Lung Nodule Detection in a Lung Cancer Screening Program
Cui, X., Zheng, S., Heuvelmans, M., Du, Y., Sidorenkov, G., Dorrius, M., Veldhuis, R., Oudkerk, M., De Bock, G., Van Ooijen, P., Vliegenthart, R. & Ye, Z., Mar-2021, In: Journal of Thoracic Oncology. 16, 3, p. S477-S478 2 p.
Research output: Contribution to journal › Meeting Abstract › Academic

Automatic Lung Nodule Detection by a Deep Learning-Based CAD System: The Value of Slab Thickness in the Maximum Intensity Projection Technique

Computed Tomography Screening for Early Lung Cancer, COPD and Cardiovascular Disease in Shanghai: Rationale and Design of a Population-based Comparative Study

Cost-effectiveness of lung cancer screening with low-dose computed tomography in China: A modeling study

Diffusion weighted imaging of the breast: Performance of standardized breast tumor tissue selection methods in clinical decision making

Evaluating the Feasibility of a Deep Learning-Based Computer-Aided Detection System for Lung Nodule Detection in a Lung Cancer Screening Program