Publications of Nico Karssemeijer
2019
Papers in international journals
- M. Bakker, S. de Lange, R. Pijnappel, R. Mann, P. Peeters, E. Monninkhof, M. Emaus, C. Loo, 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, W. Veldhuis, C. van Gils and D. Group, "Supplemental MRI Screening for Women with Extremely Dense Breast Tissue", New England Journal of Medicine, 2019;381(22):2091-2102.
- M. Mullooly, B. Ehteshami Bejnordi, R. Pfeiffer, S. Fan, M. Palakal, M. Hada, P. Vacek, D. Weaver, J. Shepherd, B. Fan, A. Mahmoudzadeh, J. Wang, S. Malkov, J. Johnson, S. Herschorn, B. Sprague, S. Hewitt, L. Brinton, N. Karssemeijer, J. van der Laak, A. Beck, M. Sherman and G. Gierach, "Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density", NPJ Breast Cancer, 2019;5:43.
- C. Balta, R. Bouwman, M. Broeders, N. Karssemeijer, W. Veldkamp, I. Sechopoulos and R. van Engen, "Optimization of the difference-of-Gaussian channel sets for the channelized Hotelling observer", Journal of Medical Imaging, 2019;6(3):035501.
- S. Saadatmand, H. Geuzinge, E. Rutgers, R. Mann, D. de van Roy Zuidewijn, H. Zonderland, R. Tollenaar, M. Lobbes, M. Ausems, M. van 't Riet, M. Hooning, I. Mares-Engelberts, E. Luiten, E. Heijnsdijk, C. Verhoef, N. Karssemeijer, J. Oosterwijk, I. Obdeijn, H. de Koning, M. Tilanus-Linthorst and F. study group, "MRI versus mammography for breast cancer screening in women with familial risk (FaMRIsc): a multicentre, randomised, controlled trial", Lancet Oncology, 2019;20(8):1136-1147.
- W. Sanderink, B. Laarhuis, L. Strobbe, I. Sechopoulos, P. Bult, N. Karssemeijer and R. Mann, "A systematic review on the use of the breast lesion excision system in breast disease", Insights into Imaging, 2019;10(1):49.
- S. Vreemann, M. Dalmis, P. Bult, N. Karssemeijer, M. Broeders, A. Gubern-Mérida and R. Mann, "Amount of fibroglandular tissue FGT and background parenchymal enhancement BPE in relation to breast cancer risk and false positives in a breast MRI screening program", European Radiology, 2019;29:4678-4690.
- G. Napolitano, E. Lynge, M. Lillholm, I. Vejborg, C. van Gils, M. Nielsen and N. Karssemeijer, "Change in mammographic density across birth cohorts of Dutch breast cancer screening participants", International Journal of Cancer, 2019;145(11):2954-2962.
- M. Dalmis, A. Gubern-Mérida, S. Vreemann, P. Bult, N. Karssemeijer, R. Mann and J. Teuwen, "Artificial Intelligence Based Classification of Breast Lesions Imaged With a Multi-Parametric Breast MRI Protocol With ultrafast DCE-MRI, T2 and DWI", Investigative Radiology, 2019;56(6):325-332.
- C. Balta, R. Bouwman, I. Sechopoulos, M. Broeders, N. Karssemeijer, R. van Engen and W. Veldkamp, "Can a channelized Hotelling observer assess image quality in acquired mammographic images of an anthropomorphic breast phantom including image processing?", Medical Physics, 2019;46:714-725.
Papers in conference proceedings
- M. Kallenberg, D. Vanegas Camargo, M. Birhanu, A. Gubern-Mérida and N. Karssemeijer, "A deep learning method for volumetric breast density estimation from processed full field digital mammograms", Medical Imaging 2019: Computer-Aided Diagnosis, 2019.
Abstracts
- W. Sanderink, J. Teuwen, L. Appelman, I. Sechopoulos, N. Karssemeijer and R. Mann, "Simultaneous multi-slice single-shot DWI compared to routine read-out-segmented DWI for evaluation of breast lesions", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2019.
PhD theses
- J. van Zelst, "Automated 3D breast ultrasound Advances in breast cancer detection, diagnosis and screening", PhD thesis, 2019.
- C. Balta, "Objective image quality assessment in X-ray breast imaging", PhD thesis, 2019.
- A. Ruiz, "Artificial intelligence & tomosynthesis for breast cancer detection", PhD thesis, 2019.
- M. Dalmis, "Automated Analysis of Breast MRI From traditional methods into deep learning", PhD thesis, 2019.