Publications of Cornelia Schaefer-Prokop

2023

Papers in international journals

1. S. Scharm, C. Schaefer-Prokop, H. Winther, C. Huisinga, T. Werncke, J. Vogel-Claussen, F. Wacker and H. Shin, "Regional Pulmonary Morphology and Function: Photon-counting CT Assessment", Radiology, 2023;308.
   Abstract DOI PMID
2. W. Hendrix, M. Rutten, N. Hendrix, B. van Ginneken, C. Schaefer-Prokop, E. Scholten, M. Prokop and C. Jacobs, "Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals", European Radiology, 2023.
   Abstract DOI PMID Cited by ~8
3. G. Sidorenkov, R. Stadhouders, C. Jacobs, F. Mohamed Hoesein, H. Gietema, K. Nackaerts, Z. Saghir, M. Heuvelmans, H. Donker, J. Aerts, R. Vermeulen, A. Uitterlinden, V. Lenters, J. van Rooij, C. Schaefer-Prokop, H. Groen, P. de Jong, R. Cornelissen, M. Prokop, G. de Bock and R. Vliegenthart, "Multi-source data approach for personalized outcome prediction in lung cancer screening: update from the NELSON trial.", European journal of epidemiology, 2023;38(4):445-454.
   Abstract DOI PMID Cited by ~2

Papers in conference proceedings

1. S. Scharm, J. Ehmig, C. Schaefer-Prokop, A. Schreuder, J. Fuge, F. Wacker, A. Prasse and H. Shin, "Alveolar collapse as a prognostic marker in patients with IPF: A CT-based assessment using an extended parametric response mapping technique", European Respiratory Journal, 2023.
   Abstract DOI
2. S. Scharm, C. Schaefer-Prokop, A. Schreuder, J. Ehmig, J. Fuge, F. Wacker, A. Prasse and H. Shin, "CT-based assessment of alveolar collapse using attenuation histograms in inspiration and expiration: Evaluation as a prognostic imaging marker in IPF patients", Imaging, 2023.
   Abstract DOI

Abstracts

1. N. Antonissen, K. Venkadesh, H. Gietema, R. Vliegenthart, Z. Saghir, M. Silva, E. Pastorino, E. Scholten, M. Prokop, C. Schaefer-Prokop and C. Jacobs, "Retrospective identification of low-risk individuals eligible for biennial lung cancer screening using PanCan-based and deep learning-based risk thresholds", Annual Meeting of the European Society of Thoracic Imaging, 2023.
   Abstract
2. N. Antonissen, K. Venkadesh, H. Gietema, R. Vliegenthart, Z. Saghir, E. Scholten, M. Prokop, C. Schaefer-Prokop and C. Jacobs, "Retrospective validation of nodule management based on deep learning-based malignancy thresholds in lung cancer screening", European Congress of Radiology, 2023.
   Abstract
3. D. Peeters, N. Alves, K. Venkadesh, R. Dinnessen, Z. Saghir, E. Scholten, H. Huisman, C. Schaefer-Prokop, R. Vliegenthart, M. Prokop and C. Jacobs, "The effect of applying an uncertainty estimation method on the performance of a deep learning model for nodule malignancy risk estimation", European Congress of Radiology, 2023.
   Abstract