Publications of Cornelia Schaefer-Prokop

2026

Papers in international journals

  1. S. Scharm, C. Schaefer-Prokop, A. Schreuder, J. Ehmig, A. Hunkemöller, J. Fuge, B. Seeliger, J. Schupp, F. Wacker and H. Shin, "Extent of alveolar collapse in expiratory CT as a prognostic marker in idiopathic pulmonary fibrosis", PLOS One, 2026;21:e0345308.
    Abstract DOI PMID
  2. S. Bunk, E. Bennink, G. Sidorenkov, M. Heuvelmans, H. Groen, H. Gietema, M. Prokop, J. Aerts, C. Jacobs, G. de Bock, P. de Jong, R. Vliegenthart, F. Mohamed Hoesein, J. Aerts, R. Cornelissen, R. Stadhouders, J. van Rooij, L. Trap, M. Prokop, C. Schaefer-Prokop, C. Jacobs, G. de Bock, M. Heuvelmans, G. Sidorenkov, D. Zhong, H. Groen, R. Vliegenthart, P. de Jong, F. Mohamed Hoesein, S. Bunk and G. Downward, "CT-based body composition and its change through time in relation to outcomes in participants screened for lung cancer", eBioMedicine, 2026;127:106276.
    DOI
  3. A. Hunkemöller, T. Werncke, J. Dittrich, C. Schaefer-Prokop, F. Söbbeler, M. Avsar, J. Salman, A. Ruhparwar, R. Blasczyk, S. Besli, C. Figueiredo, A. Enzig-Strohm, F. Wacker and H. Shin, "Photon-counting CT for dynamic lung perfusion: validation of a low-dose protocol in a porcine lung transplantation model", European Radiology Experimental, 2026;10.
    Abstract DOI

Abstracts

  1. R. Dinnessen, N. Antonissen, D. Peeters, H. Gietema, F. Mohamed Hoesein, E. Scholten, C. Schaefer-Prokop and C. Jacobs, "Performance and generalisability of a screening-trained deep learning model for pulmonary nodule malignancy risk estimation on a multicentre dataset of incidental nodules", European Congress of Radiology, 2026.
    Abstract