Publications of Nico Karssemeijer

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2015

Papers in international journals

  1. D. van der Waal, M. Emaus, M. Bakker, G. den Heeten, N. Karssemeijer, R. Pijnappel, W. Veldhuis, A. Verbeek, C. van Gils and M. Broeders, "Geographic variation in volumetric breast density between screening regions in the Netherlands", European Radiology, 2015;25(11):3328-3337.
    Abstract DOI PMID Cited by ~17
  2. M. Emaus, M. Bakker, P. Peeters, C. Loo, R. Mann, M. de Jong, R. Bisschops, J. Veltman, K. Duvivier, M. Lobbes, R. Pijnappel, N. Karssemeijer, H. de Koning, M. van den Bosch, E. Monninkhof, W. Mali, W. Veldhuis and C. van Gils, "MR Imaging as an Additional Screening Modality for the Detection of Breast Cancer in Women Aged 50-75 Years with Extremely Dense Breasts: The DENSE Trial Study Design", Radiology, 2015;277(2):527-537.
    Abstract DOI PMID Cited by ~95
  3. G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman, "Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI", European Radiology, 2015;25(11):3187-3199.
    Abstract DOI PMID Download Cited by ~57
  4. W. van de Ven, Y. Hu, J. Barentsz, N. Karssemeijer, D. Barratt and H. Huisman, "Biomechanical modeling constrained surface-based image registration for prostate MR guided TRUS biopsy", Medical Physics, 2015;42:2470-2481.
    Abstract DOI PMID Cited by ~16
  5. T. Tan, J. Mordang, J. van Zelst, A. Grivegnée, A. Gubern-Mérida, J. Melendez, R. Mann, W. Zhang, B. Platel and N. Karssemeijer, "Computer-aided detection of breast cancers using Haar-like features in automated 3D breast ultrasound", Medical Physics, 2015;42(7):1498-1504.
    Abstract DOI PMID Cited by ~35
  6. A. Bluekens, W. Veldkamp, K. Schuur, N. Karssemeijer, M. Broeders and G. den Heeten, "The potential use of ultra-low radiation dose images in digital mammography - a clinical proof-of-concept study in craniocaudal views", British Journal of Radiology, 2015;88(1047):20140626.
    Abstract DOI PMID Cited by ~3
  7. A. Gubern-Mérida, M. Kallenberg, R. Mann, R. Marti and N. Karssemeijer, "Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework", IEEE Journal of Biomedical and Health Informatics, 2015;19(1):349-357.
    Abstract DOI PMID Cited by ~120
  8. A. Gubern-Mérida, R. Marti, J. Melendez, J. Hauth, R. Mann, N. Karssemeijer and B. Platel, "Automated localization of breast cancer in DCE-MRI", Medical Image Analysis, 2015;20(1):265-274.
    Abstract DOI PMID Cited by ~119
  9. J. Van Zelst, B. Platel, N. Karssemeijer and R. Mann, "Multiplanar reconstructions of 3D automated breast ultrasound improve lesion differentiation by radiologists", Academic Radiology, 2015;22(12):1489-1496.
    Abstract DOI Cited by ~37

Papers in conference proceedings

  1. J. Mordang and N. Karssemeijer, "Vessel segmentation in screening mammograms", Medical Imaging, 2015;9414:94140J.
    Abstract DOI Cited by ~3
  2. A. Gubern-Mérida, T. Tan, J. van Zelst, R. Mann, B. Platel and N. Karssemeijer, "Pectoral muscle surface segmentation in automated 3D breast ultrasound using cylindrical transform and atlas information", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2015.
    Abstract
  3. M. Ghafoorian, N. Karssemeijer, F. de Leeuw, T. Heskes, E. Marchiori and B. Platel, "Small White Matter Lesion Detection in Cerebral Small Vessel Disease", Medical Imaging, 2015;9414:941411.
    Abstract DOI Cited by ~14
  4. B. Bejnordi, G. Litjens, M. Hermsen, N. Karssemeijer and J. van der Laak, "A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images", Medical Imaging, 2015;9420:94200H.
    Abstract DOI Download Cited by ~49

Abstracts

  1. M. Kallenberg, M. Lillholm, P. Diao, K. Petersen, K. Holland, N. Karssemeijer, C. Igel and M. Nielsen, "Assessing Breast Cancer Masking Risk with Automated Texture Analysis in Full Field Digital Mammography", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract Cited by ~3
  2. A. Gubern-Mérida, S. Vreemann, R. Marti, J. Melendez, S. Lardenoije, R. Mann, B. Platel and N. Karssemeijer, "Automated detection of breast cancer as an aid in the interpretation of screening MRI", European Congress of Radiology, 2015.
    Abstract
  3. M. Dalmis, A. Gubern-Mérida, S. Vreemann, R. Mann, N. Karssemeijer and B. Platel, "Early Phase Contrast Enhancement Dynamics of Breast Lesions of Different Molecular Subtypes Characterized by a Computer-Aided-Diagnosis System", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  4. J. Wanders, K. Holland, P. Peeters, N. Karssemeijer and C. van Gils, "Volumetric breast density and the risk of screen detected and interval breast cancer", 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.
    Abstract
  5. J. Wanders, K. Holland, P. Peeters, N. Karssemeijer and C. van Gils, "Combined effect of dense and nondense breast volume on breast cancer risk", 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.
    Abstract
  6. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, B. Platel, N. Karssemeijer and R. Mann, "A critical audit of a breast MRI screening programme for intermediate and high risk patients in clinical practice", European Congress of Radiology, 2015.
    Abstract
  7. M. Kallenberg, K. Petersen, M. Lillholm, D. JAfA rgensen, P. Diao, K. Holland, N. Karssemeijer, C. Igel and M. Nielsen, "Automated texture scoring for assessing breast cancer masking risk in full field digital mammography", European Congress of Radiology, 2015.
    Abstract Cited by ~1
  8. K. Holland, C. van Gils, J. Wanders, R. Mann and N. Karssemeijer, "Consistency of density categories over multiple screening rounds using volumetric breast density", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  9. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, B. Platel, N. Karssemeijer and R. Mann, "Breast cancers not detected by MRI in a high and intermediate risk screening program", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  10. J. Wanders, K. Holland, W. Veldhuis, R. Mann, P. Peeters, C. van Gils and N. Karssemeijer, "Effect of volumetric mammographic density on performance of a breast cancer screening program using full-field digital mammography", 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.
    Abstract
  11. K. Holland, A. Gubern-Mérida, R. Mann and N. Karssemeijer, "Improved volumetric breast density assessment in dense breasts", 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.
    Abstract
  12. M. Dalmis, A. Gubern-Mérida, S. Vreemann, B. Platel, R. Mann and N. Karssemeijer, "Is Late Phase Information Necessary for Dynamic Evaluation of Breast Cancer?", European Congress of Radiology, 2015.
    Abstract
  13. K. Holland, C. van Gils, J. Wanders, R. Mann and N. Karssemeijer, "Optimisation of the selection of women with an increased risk of a masked tumour for supplementary screening", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  14. A. Gubern-Mérida, T. Tan, J. van Zelst, R. Mann, B. Platel and N. Karssemeijer, "Evaluation of a Novel Method to Segment the Pectoral Muscle Surface in Automated Whole Breast Ultrasound", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  15. J. Wanders, K. Holland, W. Veldhuis, R. Mann, P. Peeters, C. van Gils and N. Karssemeijer, "Effect of volumetric mammographic density on performance of a breast cancer screening program using full-field digital mammography", European Congress of Radiology, 2015.
    Abstract
  16. A. Gubern-Mérida, S. Vreemann, R. Marti, J. Melendez, R. Mann, B. Platel and N. Karssemeijer, "Automated Detection of Mass-like, Non-mass-like and Focus Breast Cancer Lesions Visible in False-negative Screening DCE-MRI", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  17. K. Holland, C. van Gils, J. Wanders, R. Mann and N. Karssemeijer, "How can we identify women at risk for a masked cancer, who may benefit from supplemental screening?", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract
  18. M. Kallenberg, M. Lillholm, P. Diao, K. Holland, N. Karssemeijer, C. Igel and M. Nielsen, "Assessing breast cancer masking risk in full field digital mammography with automated texture analysis", 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.
    Abstract
  19. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, B. Platel, N. Karssemeijer and R. Mann, "Longitudinal results of a breast MRI screening program for patients at high and intermediate risk; does BRCA status matter?", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract

PhD theses

  1. A. Gubern-Mérida, "Automated Analysis of Magnetic Resonance Imaging of the Breast", PhD thesis, 2015.
    Abstract Url
  2. G. Litjens, "Computerized detection of cancer in multi-parametric prostate MRI", PhD thesis, 2015.
    Abstract Url
  3. S. Schalekamp, "Advanced processing in chest radiography: impact on observer performance", PhD thesis, 2015.
    Abstract Url
  4. J. Melendez, "Improving computer-aided detection systems through advanced pattern recognition techniques", PhD thesis, 2015.
    Abstract Url

Other publications

  1. M. Razavi, L. Wang, A. Gubern-Mérida, T. Ivanovska, H. Laue, N. Karssemeijer and H. Hahn, "Towards Accurate Segmentation of Fibroglandular Tissue in Breast MRI Using Fuzzy C-Means and Skin-Folds Removal", Lecture Notes in Computer Science, 2015:528-536.
    Abstract DOI