Publications of Nico Karssemeijer
2021
Papers in international journals
- L. Kerschke, S. Weigel, A. Rodriguez-Ruiz, N. Karssemeijer and W. Heindel, "Using deep learning to assist readers during the arbitration process: a lesion-based retrospective evaluation of breast cancer screening performance", European Radiology, 2021;32:842-852.
- S. van Winkel, A. Rodríguez-Ruiz, L. Appelman, A. Gubern-Mérida, N. Karssemeijer, J. Teuwen, A. Wanders, I. Sechopoulos and R. Mann, "Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study", European Radiology, 2021;31:8682-8691.
- S. Veenhuizen, S. de Lange, M. Bakker, R. Pijnappel, R. Mann, E. Monninkhof, M. Emaus, P. de Koekkoek-Doll, R. Bisschops, M. Lobbes, M. de Jong, K. Duvivier, J. Veltman, N. Karssemeijer, H. de Koning, P. van Diest, W. Mali, M. van den Bosch, C. van Gils, W. Veldhuis, C. van Gils, M. Bakker, S. de Lange, S. Veenhuizen, W. Veldhuis, R. Pijnappel, M. Emaus, P. Peeters, E. Monninkhof, M. Fernandez-Gallardo, W. Mali, M. van den Bosch, P. van Diest, R. Mann, R. Mus, M. Imhof-Tas, N. Karssemeijer, C. Loo, P. de Koekkoek-Doll, H. Winter-Warnars, R. Bisschops, M. Kock, R. Storm, P. van der Valk, M. Lobbes, S. Gommers, M. Lobbes, M. de Jong, M. Rutten, K. Duvivier, P. de Graaf, J. Veltman, R. Bourez, H. de Koning and F. the Group, "Supplemental Breast MRI for Women with Extremely Dense Breasts: Results of the Second Screening Round of the DENSE Trial", Radiology, 2021;299:278-286.
- W. Sanderink, J. Teuwen, L. Appelman, L. Moy, L. Heacock, E. Weiland, N. Karssemeijer, P. Baltzer, I. Sechopoulos and R. Mann, "Comparison of simultaneous multi-slice single-shot DWI to readout-segmented DWI for evaluation of breast lesions at 3T MRI", European Journal of Radiology, 2021;138:109626.
PhD theses
- D. Tellez, "Advancing computational pathology with deep learning: from patches to gigapixel image-level classification", PhD thesis, 2021.