Publications of Sarah van Riel

Papers in international journals

1. C. Jacobs, A. Schreuder, S. van Riel, E. Scholten, R. Wittenberg, M. Winkler Wille, B. de Hoop, R. Sprengers, O. Mets, B. Geurts, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Assisted versus Manual Interpretation of Low-Dose CT Scans for Lung Cancer Screening: Impact on Lung-RADS Agreement", Radiology: Imaging Cancer, 2021;3(5):e200160.
   Abstract DOI PMID Cited by ~9
2. S. van Riel, C. Jacobs, E. Scholten, R. Wittenberg, M. Winkler Wille, B. de Hoop, R. Sprengers, O. Mets, B. Geurts, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management", European Radiology, 2019;29(2):924-931.
   Abstract DOI PMID Download Cited by ~44
3. S. van Riel, F. Ciompi, M. Winkler Wille, A. Dirksen, S. Lam, E. Scholten, S. Rossi, N. Sverzellati, M. Naqibullah, R. Wittenberg, M. Hovinga-de Boer, M. Snoeren, L. Peters-Bax, O. Mets, M. Brink, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers", PLoS One, 2017;12(11):e0185032.
   Abstract DOI PMID Cited by ~31
4. F. Ciompi, K. Chung, S. van Riel, A. Setio, P. Gerke, C. Jacobs, E. Scholten, C. Schaefer-Prokop, M. Wille, A. Marchiano, U. Pastorino, M. Prokop and B. van Ginneken, "Towards automatic pulmonary nodule management in lung cancer screening with deep learning", Scientific Reports, 2017(46479).
   Abstract DOI PMID arXiv Download Cited by ~316
5. S. van Riel, F. Ciompi, C. Jacobs, M. Winkler Wille, E. Scholten, M. Naqibullah, S. Lam, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines", European Radiology, 2017;27(10):4019-4029.
   Abstract DOI PMID Download Cited by ~45
6. A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. van Riel, M. Wille, M. Naqibullah, C. Sánchez and B. van Ginneken, "Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks", IEEE Transactions on Medical Imaging, 2016;35(5):1160-1169.
   Abstract DOI PMID Download Cited by ~997
7. F. Ciompi, B. de Hoop, S. van Riel, K. Chung, E. Scholten, M. Oudkerk, P. de Jong, M. Prokop and B. van Ginneken, "Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box", Medical Image Analysis, 2015;26(1):195-202.
   Abstract DOI PMID Download Cited by ~262
8. S. van Riel, C. Sánchez, A. Bankier, D. Naidich, J. Verschakelen, E. Scholten, P. de Jong, C. Jacobs, E. van Rikxoort, L. Peters-Bax, M. Snoeren, M. Prokop, B. van Ginneken and C. Schaefer-Prokop, "Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management", Radiology, 2015;277(3):863-871.
   Abstract DOI PMID Cited by ~159
9. M. Winkler Wille, S. van Riel, Z. Saghir, A. Dirksen, J. Pedersen, C. Jacobs, L. Thomsen, E. Scholten, L. Skovgaard and B. van Ginneken, "Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening Trial", European Radiology, 2015;25:3093-3099.
   Abstract DOI PMID Cited by ~69
10. E. Scholten, P. de Jong, C. Jacobs, B. van Ginneken, S. van Riel, M. Willemink, R. Vliegenthart, M. Oudkerk, H. de Koning, N. Horeweg, M. Prokop, W. Mali and H. Gietema, "Interscan variation of semi-automated volumetry of subsolid pulmonary nodules", European Radiology, 2015;25(4):1040-1047.
    Abstract DOI PMID Cited by ~26
11. E. Scholten, C. Jacobs, B. van Ginneken, S. van Riel, R. Vliegenthart, M. Oudkerk, H. de Koning, N. Horeweg, M. Prokop, H. Gietema, W. Mali and P. de Jong, "Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation", European Radiology, 2015;25(2):488-496.
    Abstract DOI PMID Cited by ~58

Papers in conference proceedings

1. F. Ciompi, C. Jacobs, E. Scholten, S. van Riel, M. Wille, M. Prokop and B. van Ginneken, "Automatic detection of spiculation of pulmonary nodules in Computed Tomography images", Medical Imaging, 2015;9414(941409).
   Abstract DOI Cited by ~6
2. A. Setio, C. Jacobs, F. Ciompi, S. van Riel, M. Wille, A. Dirksen, E. van Rikxoort and B. van Ginneken, "Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model", Medical Imaging, 2015;9414(94141O).
   Abstract DOI Cited by ~4

Abstracts

1. F. Ciompi, K. Chung, A. Setio, S. van Riel, E. Scholten, P. Gerke, C. Jacobs, U. Pastorino, A. Marchiano, M. Wille, M. Prokop and B. van Ginneken, "Pulmonary nodule type classification with convolutional networks", Medical Image Computing and Computer-Assisted Intervention, 2016.
   Abstract
2. S. van Riel, K. Chung, E. Scholten, P. de Jong, C. Schaefer-Prokop and B. van Ginneken, "ACR Lung-RADS guidelines for pure ground-glass nodules: is a threshold of 20mm adequate?", European Congress of Radiology, 2015.
   Abstract
3. S. van Riel, F. Ciompi, M. Wille, E. Scholten, A. Dirksen, K. Chung, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Comparing LungRADS and the McWilliams nodule malignancy score: which approach works best to select screen detected pulmonary nodules for more aggressive followup?", Annual Meeting of the Radiological Society of North America, 2015.
   Abstract
4. E. Scholten, C. Jacobs, B. van Ginneken, S. van Riel, R. Vliegenthart, M. Oudkerk, M. Prokop, H. Gietema and P. de Jong., "Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation", European Congress of Radiology, 2015.
   Abstract Cited by ~58
5. S. van Riel, F. Ciompi, M. Wille, E. Scholten, N. Sverzellati, S. Rossi, A. Dirksen, M. Brink, R. Wittenberg, M. Naqibullah, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Can morphological features differentiate between malignant and benign pulmonary nodules, detected in a screen setting?", Annual Meeting of the Radiological Society of North America, 2015.
   Abstract
6. S. van Riel, F. Ciompi, M. Wille, M. Naqibullah, E. Scholten, C. Schaefer-Prokop and B. van Ginneken, "Lung-RADS versus the McWilliams nodule malignancy score for risk prediction: an evaluation using lesions from the DLCST Trial", World Conference on Lung Cancer, 2015.
   Abstract
7. K. Chung, E. Scholten, S. van Riel, F. Ciompi, P. de Jong, M. Wille, M. Prokop, B. van Ginneken and C. Schaefer-Prokop, "Differentiation of persistent and transient subsolid nodules: does morphology help?", European Congress of Radiology, 2015;85(3):648-652.
   Abstract
8. S. van Riel, E. van Rikxoort, C. Jacobs, S. Schalekamp, M. Prokop, B. van Ginneken, P. de Jong, E. Scholten, H. Gietema and C. Schaefer-Prokop, "Intra- and inter-reader variability of pulmonary nodule classification according to the Fleischner guidelines: clinical consequences", Annual Meeting of the Radiological Society of North America, 2013.
   Abstract
9. M. Brink, E. van Rikxoort, J. Charbonnier, S. van Riel, C. Schaefer-Prokop and M. Prokop, "Iodine Mapping of the Lung Using Subtraction Imaging for Pulmonary Embolism: Technique and Initial Clinical Experience", Annual Meeting of the Radiological Society of North America, 2013.
   Abstract
10. S. van Riel, C. Schaefer-Prokop, E. van Rikxoort, B. van Ginneken, M. Prokop, S. Schalekamp, C. Jacobs, P. de Jong, H. Gietema and E. Scholten, "Impact of section thickness on classification of pulmonary nodules into solid, part-solid, and non-solid: an observer study", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract

PhD theses

1. S. van Riel, "Malignancy risk estimation of screen-detected pulmonary nodules", PhD thesis, 2020.
   Abstract Url