Publications of Nico Karssemeijer

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2013

Papers in international journals

  1. A. Bria, N. Karssemeijer and F. Tortorella, "Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications", Medical Image Analysis, 2013;18(2):241-252.
    Abstract DOI PMID Cited by ~78
  2. T. Tan, B. Platel, T. Twellmann, G. van Schie, R. Mus, A. Grivegnée, R. Mann and N. Karssemeijer, "Evaluation of the Effect of Computer-Aided Classification of Benign and Malignant Lesions on Reader Performance in Automated Three-dimensional Breast Ultrasound", Academic Radiology, 2013;20(11):1381-1388.
    Abstract DOI PMID Cited by ~34
  3. S. Schalekamp, B. van Ginneken, L. Meiss, L. Peters-Bax, L. Quekel, M. Snoeren, A. Tiehuis, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs", European Journal of Radiology, 2013;82(12):2399-2405.
    Abstract DOI PMID Download Cited by ~28
  4. G. van Schie, R. Mann, M. Imhof-Tas and N. Karssemeijer, "Generating synthetic mammograms from reconstructed tomosynthesis volumes", IEEE Transactions on Medical Imaging, 2013;32(12):2322-2331.
    Abstract DOI PMID Cited by ~40
  5. T. Tan, B. Platel, R. Mus, L. Tabar, R. Mann and N. Karssemeijer, "Computer-aided Detection of Cancer in Automated 3D Breast Ultrasound", IEEE Transactions on Medical Imaging, 2013;32:1698-1706.
    Abstract DOI PMID Cited by ~93
  6. M. Giger, N. Karssemeijer and J. Schnabel, "Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer", Annual Review of Biomedical Engineering, 2013;15:327-57.
    Abstract DOI PMID Cited by ~205
  7. G. van Schie, M. Wallis, K. Leifland, M. Danielsson and N. Karssemeijer, "Mass detection in reconstructed digital breast tomosynthesis volumes with a computer-aided detection system trained on 2D mammograms", Medical Physics, 2013;40(4):041902.
    Abstract DOI PMID Cited by ~42
  8. M. Velikova, P. Lucas, M. Samulski and N. Karssemeijer, "On the interplay of machine learning and background knowledge in image interpretation by Bayesian Networks", Artificial Intelligence in Medicine, 2013;57:73AC/a,!aEURoe86.
    Abstract DOI PMID Cited by ~45
  9. T. Tan, B. Platel, R. Mann, H. Huisman and N. Karssemeijer, "Chest Wall Segmentation in Automated 3D Breast Ultrasound Scans", Medical Image Analysis, 2013;17:1273AC/a,!aEURoe1281.
    Abstract DOI PMID Cited by ~19
  10. R. Hupse, M. Samulski, M. Lobbes, R. Mann, R. Mus, G. den Heeten, D. Beijerinck, R. Pijnappel, C. Boetes and N. Karssemeijer, "Computer-aided Detection of Masses at Mammography: Interactive Decision Support versus Prompts", Radiology, 2013;266:123-129.
    Abstract DOI PMID Cited by ~59
  11. R. Hupse, M. Samulski, M. Lobbes, A. den Heeten, M. Imhof-Tas, D. Beijerinck, R. Pijnappel, C. Boetes and N. Karssemeijer, "Standalone computer-aided detection compared to radiologists' performance for the detection of mammographic masses", European Radiology, 2013;23:93-100.
    Abstract DOI PMID Cited by ~21

Papers in conference proceedings

  1. T. Tan, B. Eiben, B. Platel, J. Zelst, L. Han, T. Mertzanidou, S. Johnsen, J. Hipwell, R. Mann, D. Hawkes and N. Karssemeijer, "Registration of automated 3D breast ultrasound views", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2013.
    Abstract
  2. M. Riad, B. Platel, F. de Leeuw and N. Karssemeijer, "Detection of white matter lesions in cerebral small vessel disease", Medical Imaging, 2013;8670.
    Abstract DOI Cited by ~5
  3. A. Gubern-Mérida, L. Wang, M. Kallenberg, R. Martí, H. Hahn and N. Karssemeijer, "Breast segmentation in MRI: quantitative evaluation of three methods", Medical Imaging, 2013:86693G-86693G-7.
    Abstract DOI Cited by ~15
  4. S. Schalekamp, B. van Ginneken, C. Schaefer-Prokop and N. Karssemeijer, "Impact of Bone Suppression Imaging on the Detection of Lung Nodules in Chest Radiographs: Analysis of Multiple Reading Sessions", Medical Imaging, 2013:86730Y.
    Abstract DOI Cited by ~3
  5. W. van de Ven, Y. Hu, J. Barentsz, N. Karssemeijer, D. Barratt and H. Huisman, "Surface-based prostate registration with biomechanical regularization", Medical Imaging, 2013;8671:86711R.
    Abstract DOI Cited by ~6
  6. A. Gubern-Mérida, B. Platel, R. Martí and N. Karssemeijer, "Automated localization of malignant lesions in breast DCE-MRI", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2013.
    Abstract

Abstracts

  1. S. Schalekamp, B. van Ginneken, M. Brink, B. Heggelman, M. Spee, I. Somers, N. Karssemeijer and C. Schaefer-Prokop, ""Computer Aided Detection shows added value to Bone Suppression Imaging for the detection of lung nodules in chest radiographs"", WCTI, 2013.
    Abstract
  2. S. Schalekamp, B. van Ginneken, C. Schaefer-Prokop and N. Karssemeijer, ""Computer aided detection of lung nodules in chest radiographs: novel approaches to improve reader performance"", MIPS, 2013.
    Abstract
  3. G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman, "Initial prospective evaluation of the prostate imaging reporting and data standard (PI-RADS): Can it reduce unnecessary MR guided biopsies?", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  4. J. van Zelst, R. Mus, T. Tan, N. Karssemeijer and R. Mann, "Feasibility of automated 3D breast ultrasound scanning in screening of women with high risk", European Congress of Radiology, 2013.
    Abstract Cited by ~2
  5. J. van Zelst, T. Tan, B. Platel, N. Karssemeijer and R. Mann, "Evaluation of spiculation and retraction patterns in coronal reconstructions in 3D Automated Breast Ultrasound (ABUS) improve differentiation between benign and malignant breast lesions", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  6. W. van de Ven, N. Karssemeijer, J. Barentsz and H. Huisman, "Image registration for prostate MR guided biopsy using automated biomechanical modeling", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract
  7. S. Schalekamp, N. Karssemeijer, C. Schaefer-Prokop and B. van Ginneken, ""Independent combination of multiple readers for the detection of lung nodules in chest radiographs: setting a benchmark for computer-aided detection"", Annual Meeting of the Radiological Society of North America, 2013.
    Abstract