Publications of Nico Karssemeijer

2012

Papers in international journals

  1. A. Bluekens, R. Holland, N. Karssemeijer, M. Broeders and G. den Heeten, "Comparison of Digital Screening Mammography and Screen-Film Mammography in the Early Detection of Clinically Relevant Cancers: A Multicenter Study", Radiology, 2012;265:707-714.
    Abstract DOI PMID Cited by ~115
  2. J. Lesniak, R. Hupse, R. Blanc, N. Karssemeijer and G. Székely, "Comparative evaluation of support vector machine classification for computer aided detection of breast masses in mammography", Physics in Medicine and Biology, 2012;57(16):5295-5307.
    Abstract DOI PMID Cited by ~24
  3. M. Kallenberg, C. van Gils, M. Lokate, G. den Heeten and N. Karssemeijer, "Effect of compression paddle tilt correction on volumetric breast density estimation", Physics in Medicine and Biology, 2012;57(16):5155-5168.
    Abstract DOI PMID Cited by ~32
  4. M. Stoutjesdijk, M. Zijp, C. Boetes, N. Karssemeijer, J. Barentsz and H. Huisman, "Computer aided analysis of breast MRI enhancement kinetics using mean shift c lustering and multifeature iterative region of interest selection", Journal of Magnetic Resonance Imaging, 2012;36:1104-1112.
    Abstract DOI PMID Download Cited by ~8
  5. T. Mertzanidou, J. Hipwell, M. Cardoso, X. Zhang, C. Tanner, S. Ourselin, U. Bick, H. Huisman, N. Karssemeijer and D. Hawkes, "MRI to X-ray mammography registration using a volume-preserving affine transformation", Medical Image Analysis, 2012;16(5):966-975.
    Abstract DOI PMID Download Cited by ~28
  6. P. Vos, J. Barentsz, N. Karssemeijer and H. Huisman, "Automatic computer-aided detection of prostate cancer based on multiparametric magnetic resonance image analysis", Physics in Medicine and Biology, 2012;57(6):1527-1542.
    Abstract DOI PMID Download Cited by ~121
  7. M. Velikova, P. Lucas, M. Samulski and N. Karssemeijer, "A probabilistic framework for image information fusion with an application to mammographic analysis", Medical Image Analysis, 2012;16:865-875.
    Abstract DOI PMID Cited by ~36
  8. T. Tan, B. Platel, H. Huisman, C. Sánchez, R. Mus and N. Karssemeijer, "Computer Aided Lesion Diagnosis in Automated 3D Breast Ultrasound Using Coronal Spiculation", IEEE Transactions on Medical Imaging, 2012;31(5):1034-1042.
    Abstract DOI PMID Download Cited by ~78
  9. M. Kallenberg and N. Karssemeijer, "Compression paddle tilt correction in full-field digital mammograms", Physics in Medicine and Biology, 2012;57(3):703-715.
    Abstract DOI PMID Cited by ~20
  10. R. Visser, W. Veldkamp, D. Beijerinck, P. Bun, J. Deurenberg, M. Imhof-Tas, K. Schuur, M. Snoeren, G. den Heeten, N. Karssemeijer and M. Broeders, "Increase in perceived case suspiciousness due to local contrast optimisation in digital screening mammography", European Radiology, 2012;22(4):908-914.
    Abstract DOI PMID Cited by ~19

Papers in conference proceedings

  1. A. Gubern-Mérida, M. Kallenberg, R. Martí and N. Karssemeijer, "Segmentation of the pectoral muscle in breast MRI using atlas-based approaches", Medical Image Computing and Computer-Assisted Intervention, 2012;15(Pt 2):371-378.
    Abstract DOI PMID Cited by ~45
  2. G. Litjens, N. Karssemeijer and H. Huisman, "A multi-atlas approach for prostate segmentation in MRI", MICCAI} {W}orkshop: {P}rostate {C}ancer {I}maging: The {PROMISE12} Prostate Segmentation Challenge, 2012.
    Abstract Cited by ~19
  3. T. Tan, B. Platel, R. Mus and N. Karssemeijer, "Detection of Breast Cancer in Automated 3D Breast Ultrasound", Medical Imaging, 2012;8315:831505-1-831505-8.
    Abstract DOI Cited by ~6
  4. C. Tromans, G. van Schie, N. Karssemeijer and M. Brady, "A Hypothesis-Test Framework for Quantitative Lesion Detection and Diagnosis", IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, 2012;7361:458-465.
    Abstract DOI Cited by ~5
  5. J. Lesniak, G. van Schie, C. Tanner, B. Platel, H. Huisman, N. Karssemeijer and G. Szekely, "Multimodal Classification of Breast Masses in Mammography and MRI using Unimodal Feature Selection and Decision Fusion", IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, 2012;7361:88-95.
    Abstract DOI Cited by ~5
  6. J. Melendez, C. Sánchez, R. Hupse, B. van Ginneken and N. Karssemeijer, "Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography", IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, 2012;7361:682-689.
    Abstract DOI Cited by ~1
  7. J. Bozek, M. Kallenberg, M. Grgic and N. Karssemeijer, "Comparison of Lesion Size Using Area and Volume in Full Field Digital Mammograms", IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, 2012;7361:96-103.
    Abstract DOI Cited by ~2
  8. G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman, "Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach", Medical Imaging, 2012;8315(1):83150G-83150G-6.
    Abstract DOI Cited by ~24
  9. G. Litjens, O. Debats, W. van de Ven, N. Karssemeijer and H. Huisman, "A pattern recognition approach to zonal segmentation of the prostate on MRI", Medical Image Computing and Computer-Assisted Intervention, 2012;7511:413-420.
    Abstract DOI Download Cited by ~74

Abstracts

  1. M. Kallenberg, C. van Gils, R. Mann and N. Karssemeijer, "Association between automated, volumetric measures of breast density and diagnostic outcome of mammography screening examinations", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  2. B. Platel, T. Welte, R. Mus, R. Mann, C. Sánchez, H. Hahn and N. Karssemeijer, "Automated Evaluation of an Ultrafast MR Imaging Protocol for the Characterization of Breast Lesions", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  3. R. Mann, R. Mus, C. Geppert, C. Frentz, N. Karssemeijer, H. Huisman and B. Platel, "Dynamic analysis of breast lesions: Can we use the wash-in phase instead of the wash-out phase?", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2012.
    Abstract Cited by ~2
  4. R. Mann, R. Mus, C. Geppert, C. Frentz, N. Karssemeijer, H. Huisman and B. Platel, "Initial maximum slope of the contrast enhancement versus time curve for dynamic evaluation of breast lesions on ultrafast breast MRIs", European Congress of Radiology, 2012.
    Abstract Url
  5. J. Melendez, C. Sánchez, B. van Ginneken and N. Karssemeijer, "Detection of breast carcinomas potentially missed during screening by means of a standalone CAD system", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  6. G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman, "Computerized characterization of central gland lesions using texture and relaxation features from T2-weighted prostate MRI", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  7. S. Schalekamp, B. van Ginneken, L. Bax, M. Imhof-Tas, L. Meiss, A. Tiehuis, N. Karssemeijer and C. Schaefer-Prokop, "Bone suppression imaging improves observer performance for the detection of lung nodules in chest radiographs", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  8. R. Mus, R. Mann, A. Moyakine, C. Geppert, B. Platel, N. Karssemeijer and J. Barentsz, "MRI Screening of the Breast in Less than 2 Minutes: A Prelude to Extend MR Breast Screening Possibilities", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  9. S. Schalekamp, B. van Ginneken, E. Koedam, L. Quekel, M. Snoeren, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Computer aided detection helps radiologists to detect pulmonary nodules in chest radiographs, when having bone suppressed images available", Annual Meeting of the Radiological Society of North America, 2012.
    Abstract
  10. S. Schalekamp, B. van Ginneken, L. Bax, M. Imhof-Tas, M. Snoeren, L. Quekel, E. Koedam, N. Karssemeijer and C. Schaefer-Prokop, "Bone suppression imaging improves observer performance for the detection of lung nodules in chest radiographs", Annual Meeting of the European Society of Thoracic Imaging, 2012.
    Abstract
  11. S. Schalekamp, B. van Ginneken, L. Bax, M. Imhof-Tas, L. Meiss, A. Tiehuis, E. Koedam, L. Quekel, M. Snoeren, R. Wittenberg, N. Karssemeijer and C. Schaefer-Prokop, "Botsuppressie in thoraxfoto's verbetert de detectie van pulmonale nodules door radiologen", Radiologen Dagen, 2012.
    Abstract

PhD theses

  1. R. Hupse, "Detection of malignant masses in breast cancer screening by computer assisted decision making", PhD thesis, 2012.
    Abstract Url
  2. M. Kallenberg, "Quantitative Analysis of Breast Images", PhD thesis, 2012.
    Abstract Url

2011

Papers in international journals

  1. O. Debats, G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman, "Automated 3-Dimensional Segmentation of Pelvic Lymph Nodes in Magnetic Resonance Images", Medical Physics, 2011;38(11):6178-6187.
    Abstract DOI PMID Download Cited by ~19
  2. J. van Dijck, J. Otten, N. Karssemeijer, P. Kenemans, A. Verbeek and M. van der Mooren, "Less mammographic density after nasal versus oral administration of postmenopausal hormone therapy", Climacteric, 2011;14(6):683-688.
    Abstract DOI PMID Cited by ~1
  3. G. van Schie, C. Tanner, P. Snoeren, M. Samulski, K. Leifland, M. Wallis and N. Karssemeijer, "Correlating locations in ipsilateral breast tomosynthesis views using an analytical hemispherical compression model", Physics in Medicine and Biology, 2011;56(15):4715-4730.
    Abstract DOI PMID Cited by ~20
  4. S. Brandt, G. Karemore, N. Karssemeijer and M. Nielsen, "An Anatomically Oriented Breast Coordinate System for Mammogram Analysis", IEEE Transactions on Medical Imaging, 2011;30(10):1841-1851.
    Abstract DOI PMID Cited by ~28
  5. G. den Heeten and N. Karssemeijer, "[Computerised assessment of screening mammograms]", Nederlands Tijdschrift voor Geneeskunde, 2011;155(18):A3025.
    Abstract PMID Url Cited by ~2
  6. M. Kallenberg, M. Lokate, C. van Gils and N. Karssemeijer, "Automatic breast density segmentation: an integration of different approaches", Physics in Medicine and Biology, 2011;56(9):2715-2729.
    Abstract DOI PMID Cited by ~54
  7. M. Samulski and N. Karssemeijer, "Optimizing Case-based Detection Performance in a Multiview CAD System for Mammography", IEEE Transactions on Medical Imaging, 2011;30(4):1001-1009.
    Abstract DOI PMID Cited by ~80
  8. M. Nielsen, G. Karemore, M. Loog, J. Raundahl, N. Karssemeijer, J. Otten, M. Karsdal, C. Vachon and C. Christiansen, "A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer", Cancer Epidemiology, 2011;35(4):381-387.
    Abstract DOI PMID Cited by ~44

Papers in conference proceedings

  1. A. Gubern-Mérida, M. Kallenberg, R. Martí and N. Karssemeijer, "Multi-class probabilistic atlas-based segmentation method in breast MRI", Pattern Recognition and Image Analysis: proceedings of 5th Iberian Conference, 2011;5.
    Abstract Cited by ~18
  2. G. Litjens, P. Vos, J. Barentsz, N. Karssemeijer and H. Huisman, "Automatic Computer Aided Detection of Abnormalities in Multi-Parametric Prostate MRI", Medical Imaging, 2011;7963(1).
    Abstract DOI Cited by ~44
  3. T. Tan, B. Platel, T. Twellmann, G. van Schie, R. Mus, A. Grivegnee, L. Tabar and N. Karssemeijer, "Computer aided interpretation of lesions in automated 3D breast ultrasound", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2011.
    Abstract
  4. B. Platel, H. Huisman, H. Laue, R. Mus, R. Mann, H. Hahn and N. Karssemeijer, "Computerized Characterization of Breast Lesions using Dual-Temporal Resolution Dynamic Contrast-Enhanced MR Images", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2011.
    Abstract
  5. M. Kallenberg, M. Lokate, C. van Gils and N. Karssemeijer, "Automatic breast density segmentation based on pixel classification", Medical Imaging, 2011;7963(1):796307.
    Abstract DOI
  6. A. Gubern-Mérida, M. Kallenberg, R. Martí and N. Karssemeijer, "Fully automatic fibroglandular tissue segmentation in breast MRI: atlas-based approach", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2011.
    Abstract Cited by ~17
  7. P. Maduskar, L. Hogeweg, H. Ayles, R. Dawson, P. de Jong, N. Karssemeijer and B. van Ginneken, "Cavity segmentation in chest radiographs", The Fourth International Workshop on Pulmonary Image Analysis, 2011.
    Abstract
  8. M. Samulski, P. Snoeren, B. Platel, B. van Ginneken, L. Hogeweg, C. Schaefer-Prokop and N. Karssemeijer, "Computer-Aided Detection as a Decision Assistant in Chest Radiography", Medical Imaging, 2011;7966(1):796614-1-796614-6.
    Abstract DOI Cited by ~8
  9. T. Tan, H. Huisman, B. Platel, A. Grivignee, R. Mus and N. Karssemeijer, "Classification of Breast Lesions in Automated 3D Breast Ultrasound", Medical Imaging, 2011;7963:79630X.
    Abstract DOI Cited by ~8
  10. G. van Schie, C. Tanner and N. Karssemeijer, "Estimating corresponding locations in ipsilateral breast tomosynthesis views", Medical Imaging, 2011;7963:796306.
    Abstract DOI Cited by ~2
  11. C. Tanner, G. van Schie, N. Karssemeijer and G. Szekely, "Matching Regions for Mammographic Views: Comparison and Compensation for Deformations", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2011.
    Abstract Cited by ~1
  12. J. Lesniak, R. Hupse, M. Kallenberg, M. Samulski, R. Blanc, N. Karssemeijer and G. Székely, "Computer Aided Detection of Breast Masses in Mammography using Support Vector Machine Classification", Medical Imaging, 2011;7963(1):79631K.
    Abstract DOI Cited by ~18
  13. T. Tan, B. Platel, H. Huisman and N. Karssemeijer, "Chest wall segmentation in automated 3D breast ultrasound using a cylinder model", MICCAI} {W}orkshop: {B}reast {I}mage {A}nalysis, 2011.
    Abstract

Abstracts

  1. N. Karssemeijer, T. Tan, T. Twellmann, G. van Schie, A. Grivignee, L. Tabar, R. Mann and R. Mus, "Computer Aided Interpretation of Lesions in Automated 3D Breast Ultrasound", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  2. G. Karemore, S. Brandt, N. Karssemeijer and M. Nielsen, "Discovery of Mammogram Regions That Show Early Changes Due to the Development of Breast Cancer: A Preliminary Work", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  3. N. Karssemeijer, R. Hupse, M. Samulski, D. Beijerinck, G. Heeten and C. Boetes, "Concurrent Interactive Use of CAD for Detection of Masses in Mammograms", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  4. G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman, "Zone-specific Automatic Computer-aided Detection of Prostate Cancer in MRI", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  5. N. Karssemeijer, T. Tan, B. Platel, T. Twellmann, L. Tabar, A. Grivignee, R. Mus and H. Huisman, "A Novel System for Computer-aided Lesion Classification in Automated 3D Breast Ultrasound", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  6. B. Schroeder, R. Highnam, A. Cave, J. Walker, N. Karssemeijer, M. Yaffe, R. Jong and O. Alonzo-Proulx, "At What Age Should Breast Screening Begin?", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract
  7. B. Platel, H. Huisman, H. Laue, R. Mann, H. Hahn, N. Karssemeijer and R. Mus, "Computerized Characterization of Breast Masses Using Dual-Temporal Resolution Dynamic Contrast-enhanced MR Images", Annual Meeting of the Radiological Society of North America, 2011.
    Abstract

PhD theses

  1. M. Samulski, "Computer Aided Detection as a Decision Aid in Medical Screening", PhD thesis, 2011.
    Abstract Url
  2. M. Stoutjesdijk, "Automated analysis of contrast enhancement in magnetic resonance imaging of the breast", PhD thesis, 2011.
    Abstract Url
  3. P. Vos, "Computer Aided Diagnosis of Prostate Cancer with Magnetic Resonance Imaging", PhD thesis, 2011.
    Abstract Url

2010

Papers in international journals

  1. M. Lokate, M. Kallenberg, N. Karssemeijer, M. van den Bosch, P. Peeters and C. van Gils, "Volumetric breast density from full-field digital mammograms and its association with breast cancer risk factors: a comparison with a threshold method", Cancer Epidemiology Biomarkers and Prevention, 2010;19(12):3096-3105.
    Abstract DOI PMID Cited by ~70
  2. M. Samulski, R. Hupse, C. Boetes, R. Mus, G. den Heeten and N. Karssemeijer, "Using Computer Aided Detection in Mammography as a Decision Support", European Radiology, 2010;20(10):2323-2330.
    Abstract DOI PMID Cited by ~70
  3. R. Hupse and N. Karssemeijer, "The effect of feature selection methods on computer-aided detection of masses in mammograms", Physics in Medicine and Biology, 2010;55(10):2893-2904.
    Abstract DOI PMID Cited by ~28
  4. A. Bluekens, N. Karssemeijer, D. Beijerinck, J. Deurenberg, R. van Engen, M. Broeders and G. den Heeten, "Consequences of digital mammography in population-based breast cancer screening: initial changes and long-term impact on referral rates", European Radiology, 2010;20(9):2067-2073.
    Abstract DOI PMID Cited by ~64
  5. S. Timp, C. Varela and N. Karssemeijer, "Computer-aided diagnosis with temporal analysis to improve radiologists' interpretation of mammographic mass lesions", IEEE Transactions on Information Technology in Biomedicine, 2010;14(3):803-808.
    Abstract DOI PMID Cited by ~35

Papers in conference proceedings

  1. M. Velikova, P. Lucas and N. Karssemeijer, "Using local context information to improve automatic mammographic mass detection", Studies in Health Technology and Informatics, 2010;160:1291-1295.
    Abstract DOI PMID Cited by ~1
  2. N. Karssemeijer, "Computer aided detection in breast imaging: more than perception aid", IEEE International Symposium on Biomedical Imaging, 2010:273.
    Abstract DOI Cited by ~3
  3. A. Makarau, H. Huisman, R. Mus, M. Zijp and N. Karssemeijer, "Breast MRI intensity non-uniformity correction using mean-shift", Medical Imaging, 2010;7624:76242D.
    Abstract DOI Cited by ~6
  4. O. Debats, N. Karssemeijer, J. Barentsz and H. Huisman, "Automated classification of lymph nodes in USPIO-enhanced MR-images: a comparison of three segmentation methods", Medical Imaging, 2010;7624:76240Q.
    Abstract DOI Cited by ~2
  5. P. Snoeren, G. Litjens, B. van Ginneken and N. Karssemeijer, "Training a Computer Aided Detection System with Simulated Lung Nodules in Chest Radiographs", The Third International Workshop on Pulmonary Image Analysis, 2010:139-149.
    Abstract Cited by ~12
  6. G. van Schie, M. K. Leifland, E. Moa, M. Hemmendorff and N. Karssemeijer, "The Effect of Slab Size on Mass Detection Performance of a Screen-Film CAD System in Reconstructed Tomosynthesis Volumes", IWDM '10: Proceedings of the 10th international workshop on Digital Mammography, 2010:497-504.
    Abstract DOI Cited by ~2
  7. M. Kallenberg and N. Karssemeijer, "Comparison of Tilt Correction Methods in Full Field Digital Mammograms", IWDM '10: Proceedings of the 10th international workshop on Digital Mammography, 2010:191-196.
    Abstract DOI Cited by ~5

Abstracts

  1. H. Huisman, J. Veltman, M. Zijp, R. Mann, R. Mus and N. Karssemeijer, "Dual-Time Resolution Characterization of Masses on Breast DCEMR", Annual Meeting of the Radiological Society of North America, 2010.
    Abstract
  2. P. Vos, J. Fütterer, N. Karssemeijer and J. Huisman, "Computer-assisted Diagnosis of Prostate Cancer with Multimodal3T MR Imaging", Annual Meeting of the Radiological Society of North America, 2010.
    Abstract

Other publications

  1. N. Karssemeijer and P. Snoeren, "Image Processing", Digital Mammography, 2010:69-83.
    Abstract DOI Cited by ~6

2009

Papers in international journals

  1. N. Karssemeijer, A. Bluekens, D. Beijerinck, J. Deurenberg, M. Beekman, R. Visser, R. van Engen, A. Bartels-Kortland and M. Broeders, "Breast cancer screening results 5 years after introduction of digital mammography in a population-based screening program", Radiology, 2009;253(2):353-358.
    Abstract DOI PMID Cited by ~141
  2. R. Hupse and N. Karssemeijer, "Use of normal tissue context in computer-aided detection of masses in mammograms", IEEE Transactions on Medical Imaging, 2009;28(12):2033-2041.
    Abstract DOI PMID Cited by ~49
  3. J. Iglesias and N. Karssemeijer, "Robust initial detection of landmarks in film-screen mammograms using multiple FFDM atlases", IEEE Transactions on Medical Imaging, 2009;28(11):1815-1824.
    Abstract DOI PMID Cited by ~33
  4. M. Velikova, M. Samulski, P. Lucas and N. Karssemeijer, "Improved mammographic CAD performance using multi-view information: a Bayesian network framework", Physics in Medicine and Biology, 2009;54(5):1131-1147.
    Abstract DOI PMID Cited by ~62

Papers in conference proceedings

  1. M. Velikova, M. Samulski, P. Lucas and N. Karssemeijer, "Causal Probabilistic Modelling for Two-View Mammographic Analysis", AIME '09: Proceedings of the 12th Conference on Artificial Intelligence in Medicine, 2009:395-404.
    Abstract DOI Cited by ~3
  2. G. van Schie and N. Karssemeijer, "Noise model for microcalcification detection in reconstructed tomosynthesis slices", Medical Imaging, 2009;7260:72600M.
    Abstract DOI Cited by ~15
  3. M. Kallenberg and N. Karssemeijer, "Using Volumetric Density Estimation in Computer Aided Mass Detection in Mammography", Proceedings of SPIE – Volume 7263, Medical Imaging 2009: Computer-Aided Diagnosis, 2009;7263(1):72600T.
    Abstract DOI Cited by ~2
  4. R. Hupse and N. Karssemeijer, "The use of contextual information for computer aided detection of masses in mammograms", Medical Imaging, 2009;7260:72600Q.
    Abstract DOI Cited by ~8
  5. M. Samulski, A. Hupse, C. Boetes, G. den Heeten and N. Karssemeijer, "Analysis of probed regions in an interactive CAD system for the detection of masses in mammograms", Medical Imaging, 2009;7263(1):726314.
    Abstract DOI Cited by ~5

2008

Papers in international journals

  1. M. Kallenberg and N. Karssemeijer, "Computer-aided detection of masses in full-field digital mammography using screen-film mammograms for training", Physics in Medicine and Biology, 2008;53(23):6879-6891.
    Abstract DOI PMID Cited by ~21
  2. B. Lelieveldt and N. Karssemeijer, "Information Processing In Medical Imaging 2007", Medical Image Analysis, 2008;12(6):729-730.
    Abstract DOI PMID Cited by ~5
  3. A. Eilertsen, N. Karssemeijer, P. Skaane, E. Qvigstad and P. Sandset, "Differential impact of conventional and low-dose oral hormone therapy, tibolone and raloxifene on mammographic breast density, assessed by an automated quantitative method", British Journal of Obstetrics and Gynaecology, 2008;115(6):773-779.
    Abstract DOI PMID Cited by ~37

Papers in conference proceedings

  1. M. Samulski, N. Karssemeijer, C. Boetes and G. den Heeten, "An Interactive Computer-aided Detection Workstation for Reading Mammograms", 94th Radiological Society of North America Scientific Assembly and Annual Meeting, 2008.
    Abstract Url Cited by ~1
  2. N. Karssemeijer, A. Hupse, M. Samulski, M. Kallenberg, C. Boetes and G. Heeten, "An Interactive Computer Aided Decision Support System for Detection of Masses in Mammograms", IWDM '08: Proceedings of the 9th international workshop on Digital Mammography, 2008:273-278.
    Abstract DOI Cited by ~6
  3. M. Samulski and N. Karssemeijer, "Linking mass regions in mediolateral oblique and cranio caudal views", Proceedings of the 14th ASCI conference, 2008:214-221.
    Abstract
  4. M. Samulski and N. Karssemeijer, "Matching mammographic regions in mediolateral oblique and cranio caudal views: a probabilistic approach", Medical Imaging, 2008;6915(1):69151M.
    Abstract DOI Cited by ~20
  5. M. Kallenberg and N. Karssemeijer, "The Effect of Training Sample Size on Performance of Mass Detection", IWDM '08: Proceedings of the 9th international workshop on Digital Mammography, 2008:343-349.
    Abstract DOI Cited by ~4
  6. R. Hupse and N. Karssemeijer, "Feature selection for computer-aided detection: comparing different selection criteria", Medical Imaging, 2008;6915:691503.
    Abstract DOI Cited by ~4
  7. M. Velikova, M. Samulski, N. Karssemeijer and P. Lucas, "Toward Expert Knowledge Representation for Automatic Breast Cancer Detection", AIMSA '08: Proceedings of the 13th international conference on Artificial Intelligence, 2008:333-344.
    Abstract DOI Cited by ~6
  8. N. Karssemeijer, M. Samulski, G. den Heeten and C. Boetes, "Analysis of Observer Performance Based on Probing Patterns in an Interactive CAD System for Mammographic Mass Detection", 94th Radiological Society of North America Scientific Assembly and Annual Meeting, 2008.
    Abstract Url
  9. G. van Schie and N. Karssemeijer, "Detection of Microcalcifications Using a Nonuniform Noise Model", IWDM '08: Proceedings of the 9th international workshop on Digital Mammography, 2008:378-384.
    Abstract DOI Cited by ~10
  10. M. Velikova, P. Lucas, N. Ferreira, M. Samulski and N. Karssemeijer, "A decision support system for breast cancer detection in screening programs", Proceeding of the 2008 conference on ECAI 2008, 2008:658-662.
    Abstract Cited by ~16
  11. N. Karssemeijer, M. Samulski, M. Kallenberg, A. Hupse, C. Boetes and G. den Heeten, "Effectiveness of an Interactive CAD System for Mammographic Mass Detection", 94th Radiological Society of North America Scientific Assembly and Annual Meeting, 2008.
    Abstract Url
  12. M. Kallenberg and N. Karssemeijer, "The Effect of Training with SFM Images in a FFDM CAD System", Proceedings of SPIE – Volume 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 2008;6915(1):691510.
    Abstract DOI Cited by ~1

2007

Papers in international journals

  1. M. Stoutjesdijk, J. Veltman, H. Huisman, N. Karssemeijer, J. Barentsz, J. Blickman and C. Boetes, "Automated analysis of contrast enhancement in breast MRI lesions using mean shift clustering for ROI selection", Journal of Magnetic Resonance Imaging, 2007;26(3):606-614.
    Abstract DOI PMID Download Cited by ~43
  2. S. Timp, C. Varela and N. Karssemeijer, "Temporal change analysis for characterization of mass lesions in mammography", IEEE Transactions on Medical Imaging, 2007;26(7):945-953.
    Abstract DOI PMID Cited by ~90
  3. J. van Dalen, A. Hoffmann, V. Dicken, W. Vogel, B. Wiering, T. Ruers, N. Karssemeijer and W. Oyen, "A novel iterative method for lesion delineation and volumetric quantification with FDG PET", Nuclear Medicine Communications, 2007;28(6):485-493.
    Abstract DOI PMID Cited by ~125
  4. S. van Engeland and N. Karssemeijer, "Combining two mammographic projections in a computer aided mass detection method", Medical Physics, 2007;34(3):898-905.
    Abstract DOI PMID Cited by ~73
  5. P. Snoeren and N. Karssemeijer, "Gray-scale and geometric registration of full-field digital and film-screen mammograms", Medical Image Analysis, 2007;11(2):146-156.
    Abstract DOI PMID Cited by ~12
  6. A. Roelofs, N. Karssemeijer, N. Wedekind, C. Beck, S. van Woudenberg, P. Snoeren, J. Hendriks, M. del Turco, N. Bjurstam, H. Junkermann, D. Beijerinck, B. Séradour and C. Evertsz, "Importance of comparison of current and prior mammograms in breast cancer screening", Radiology, 2007;242(1):70-77.
    Abstract DOI PMID Cited by ~87

Papers in conference proceedings

  1. H. Huisman and N. Karssemeijer, "Chestwall segmentation in 3D breast ultrasound using a deformable volume model", Information Processing in Medical Imaging, 2007:245-256.
    Abstract DOI PMID Download Cited by ~6
  2. M. Samulski, N. Karssemeijer, P. Lucas and P. Groot, "Classification of mammographic masses using support vector machines and Bayesian networks", Medical Imaging, 2007;6514(1):65141J.
    Abstract DOI Cited by ~13

2006

Papers in international journals

  1. N. Karssemeijer, J. Otten, H. Rijken and R. Holland, "Computer aided detection of masses in mammograms as decision support", British Journal of Radiology, 2006;79 Spec No 2:S123-S126.
    Abstract DOI PMID Cited by ~34
  2. S. Selvan, C. Xavier, N. Karssemeijer, J. Sequeira, R. Cherian and B. Dhala, "Parameter estimation in stochastic mammogram model by heuristic optimization techniques", IEEE Transactions on Information Technology in Biomedicine, 2006;10(4):685-695.
    Abstract DOI PMID Cited by ~31
  3. S. van Engeland, S. Timp and N. Karssemeijer, "Finding corresponding regions of interest in mediolateral oblique and craniocaudal mammographic views", Medical Physics, 2006;33(9):3203-3212.
    Abstract DOI PMID Cited by ~53
  4. S. van Engeland, P. Snoeren, H. Huisman, C. Boetes and N. Karssemeijer, "Volumetric breast density estimation from full-field digital mammograms", IEEE Transactions on Medical Imaging, 2006;25(3):273-282.
    Abstract DOI PMID Download Cited by ~250
  5. C. Varela, S. Timp and N. Karssemeijer, "Use of border information in the classification of mammographic masses", Physics in Medicine and Biology, 2006;51(2):425-441.
    Abstract DOI PMID Cited by ~103
  6. A. Roelofs, S. van Woudenberg, J. Otten, J. Hendriks, A. Bödicker, C. Evertsz and N. Karssemeijer, "Effect of soft-copy display supported by CAD on mammography screening performance", European Radiology, 2006;16(1):45-52.
    Abstract DOI PMID Cited by ~18
  7. S. Timp and N. Karssemeijer, "Interval change analysis to improve computer aided detection in mammography", Medical Image Analysis, 2006;10(1):82-95.
    Abstract DOI PMID Cited by ~59

PhD theses

  1. S. Timp, "Analysis of Temporal Mammogram Pairs to Detect and Characterise Mass Lesions", PhD thesis, 2006.
    Abstract Url
  2. S. van Engeland, "Detection of mass lesions in mammograms by using multiple views", PhD thesis, 2006.
    Abstract Url

2005

Papers in international journals

  1. S. Timp, S. van Engeland and N. Karssemeijer, "A regional registration method to find corresponding mass lesions in temporal mammogram pairs", Medical Physics, 2005;32(8):2629-2638.
    Abstract DOI PMID Cited by ~31
  2. J. Otten, N. Karssemeijer, J. Hendriks, J. Groenewoud, J. Fracheboud, A. Verbeek, H. de Koning and R. Holland, "Effect of recall rate on earlier screen detection of breast cancers based on the Dutch performance indicators", Journal of the National Cancer Institute, 2005;97(10):748-754.
    Abstract DOI PMID Cited by ~115
  3. C. Varela, N. Karssemeijer, J. Hendriks and R. Holland, "Use of prior mammograms in the classification of benign and malignant masses", European Journal of Radiology, 2005;56(2):248-255.
    Abstract DOI PMID Cited by ~55
  4. W. Vogel, J. van Dalen, H. Huisman, W. Oyen and N. Karssemeijer, "Sliced alternating DICOM series: convenient visualisation of image fusion on PACS", European Journal of Nuclear Medicine and Molecular Imaging, 2005;32(2):247-248.
    Abstract DOI PMID Download Cited by ~6

Papers in conference proceedings

  1. N. Karssemeijer, P. Snoeren and W. Zhang, "Linearization of mammograms using parameters derived from noise characteristics", Information Processing in Medical Imaging, 2005;3565:258-269.
    Abstract DOI PMID Cited by ~3
  2. P. Snoeren and N. Karssemeijer, "Thickness correction of mammographic images by anisotropic filtering and interpolation of dense tissue", Medical Imaging, 2005;5747:1521-1527.
    Abstract DOI Cited by ~19
  3. S. van Engeland, C. Varela, S. Timp, P. Snoeren and N. Karssemeijer, "Using context for mass detection and classification in mammograms", Medical Imaging, 2005;5794:94-102.
    Abstract DOI Cited by ~5
  4. S. van Engeland and N. Karssemeijer, "Regrouping initial CAD mass detections to facilitate classification of suspicious regions in mammography", Medical Imaging, 2005;5747:975-986.
    Abstract DOI Cited by ~2

2004

Papers in international journals

  1. J. van Dalen, W. Vogel, H. Huisman, W. Oyen, G. Jager and N. Karssemeijer, "Accuracy of rigid CT-FDG-PET image registration of the liver", Physics in Medicine and Biology, 2004;49(23):5393-5405.
    Abstract DOI PMID Download Cited by ~26
  2. P. Snoeren and N. Karssemeijer, "Thickness correction of mammographic images by means of a global parameter model of the compressed breast", IEEE Transactions on Medical Imaging, 2004;23(7):799-806.
    Abstract DOI PMID Cited by ~51
  3. S. Timp and N. Karssemeijer, "A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography", Medical Physics, 2004;31(5):958-971.
    Abstract DOI PMID Cited by ~220
  4. K. McLoughlin, P. Bones and N. Karssemeijer, "Noise equalization for detection of microcalcification clusters in direct digital mammogram images", IEEE Transactions on Medical Imaging, 2004;23(3):313-320.
    Abstract DOI PMID Cited by ~106

Papers in conference proceedings

  1. A. Roelofs, S. van Woudenberg, J. Hendriks, C. Evertsz and N. Karssemeijer, "Effects of computer-aided diagnosis on radiologists' detection of breast masses", Digital Mammography, 2004:219-224.
    Abstract
  2. N. Karssemeijer, J. Otten, A. Roelofs, S. van Woudenberg and J. Hendriks, "Effect of independent multiple reading of mammograms on detection performance", Medical Imaging, 2004;5372:82-89.
    Abstract DOI Cited by ~13

2003

Papers in international journals

  1. S. van Engeland, P. Snoeren, J. Hendriks and N. Karssemeijer, "A comparison of methods for mammogram registration", IEEE Transactions on Medical Imaging, 2003;22(11):1436-1444.
    Abstract DOI PMID Cited by ~101
  2. N. Karssemeijer, J. Otten, A. Verbeek, J. Groenewoud, H. de Koning, J. Hendriks and R. Holland, "Computer-aided detection versus independent double reading of masses on mammograms", Radiology, 2003;227(1):192-200.
    Abstract DOI PMID Cited by ~162

Papers in conference proceedings

  1. P. Snoeren and N. Karssemeijer, "Gray scale registration of mammograms using a model of image acquisition", Information Processing in Medical Imaging, 2003;18:401-412.
    Abstract DOI PMID Cited by ~6
  2. T. Roelofs, S. van Woudenberg, J. Hendriks and N. Karssemeijer, "Optimized soft-copy display of digitized mammograms", Medical Imaging, 2003;5034:10-19.
    Abstract DOI Cited by ~5
  3. S. van Engeland, P. Snoeren, N. Karssemeijer and J. Hendriks, "Optimized perception of lesion growth in mammograms using digital display", Medical Imaging, 2003;5034:25-31.
    Abstract DOI Cited by ~8
  4. C. Varela, J. Muller and N. Karssemeijer, "Mammographic mass characterization using sharpness and lobulation measures", Medical Imaging, 2003;5032:120-129.
    Abstract DOI Cited by ~2

2002

Papers in conference proceedings

  1. S. Timp, N. Karssemeijer and J. Hendriks, "Analysis of changes in masses using contrast and size measures", IWDM '02: Proceedings of the 6th international workshop on Digital Mammography, 2002:240-242.
    Abstract DOI Cited by ~11

2001

Papers in international journals

  1. M. Giger, N. Karssemeijer and S. Armato, "Computer-aided diagnosis in medical imaging", IEEE Transactions on Medical Imaging, 2001;20(12):1205-1208.
    Abstract PMID Cited by ~240
  2. G. te Brake and N. Karssemeijer, "Segmentation of suspicious densities in digital mammograms", Medical Physics, 2001;28(2):259-266.
    Abstract DOI PMID Cited by ~109

Papers in conference proceedings

  1. S. van Engeland and N. Karssemeijer, "Matching breast lesions in multiple mammographic views", Medical Image Computing and Computer-Assisted Intervention, 2001;2208/2010:1172-1173.
    Abstract DOI Cited by ~6

2000

Papers in international journals

  1. W. Veldkamp, N. Karssemeijer, J. Otten and J. Hendriks, "Automated classification of clustered microcalcifications into malignant and benign types", Medical Physics, 2000;27(11):2600-2608.
    Abstract DOI PMID Cited by ~133
  2. W. Veldkamp and N. Karssemeijer, "Normalization of local contrast in mammograms", IEEE Transactions on Medical Imaging, 2000;19(7):731-738.
    Abstract DOI PMID Cited by ~88
  3. G. te Brake, N. Karssemeijer and J. Hendriks, "An automatic method to discriminate malignant masses from normal tissue in digital mammograms", Physics in Medicine and Biology, 2000;45(10):2843-2857.
    Abstract PMID Cited by ~151

PhD theses

  1. W. Veldkamp, "Computer Aided Characterization of Microcalcification Clusters in Mammograms", PhD thesis, 2000.
    Abstract Url
  2. G. te Brake, "Computer Aided Detection of Masses in Digital Mammograms", PhD thesis, 2000.
    Abstract Url Cited by ~9

1999

Papers in international journals

  1. C. van Gils, J. Hendriks, R. Holland, N. Karssemeijer, J. Otten, H. Straatman and A. Verbeek, "Changes in mammographic breast density and concomitant changes in breast cancer risk", European Journal of Cancer Prevention, 1999;8(6):509-515.
    Abstract PMID Cited by ~105
  2. N. Karssemeijer, W. Veldkamp, G. te Brake and J. Hendriks, "[Reading screening mammograms with the help of neural networks]", Nederlands Tijdschrift voor Geneeskunde, 1999;143(45):2232-2236.
    Abstract PMID Cited by ~12
  3. G. te Brake and N. Karssemeijer, "Single and multiscale detection of masses in digital mammograms", IEEE Transactions on Medical Imaging, 1999;18(7):628-639.
    Abstract DOI PMID Cited by ~161

Papers in conference proceedings

  1. G. te Brake, M. Stoutjesdijk and N. Karssemeijer, "Discrete dynamic contour model for mass segmentation in digital mammograms", Medical Imaging, 1999;3661:911-919.
    Abstract DOI Cited by ~9
  2. W. Veldkamp and N. Karssemeijer, "Improved method for detection of microcalcification clusters in digital mammograms", Medical Imaging, 1999;3661:512-522.
    Abstract DOI Cited by ~30
  3. N. Karssemeijer, "Local orientation distribution as a function of spatial scale for detection of masses in mammograms", Information Processing in Medical Imaging, 1999;1613:280-293.
    Abstract DOI Cited by ~20

1998

Papers in international journals

  1. G. te Brake, N. Karssemeijer and J. Hendriks, "Automated detection of breast carcinomas not detected in a screening program", Radiology, 1998;207(2):465-471.
    Abstract PMID Cited by ~106
  2. N. Karssemeijer, "Automated classification of parenchymal patterns in mammograms", Physics in Medicine and Biology, 1998;43(2):365-378.
    Abstract DOI PMID Cited by ~337

1997

Papers in international journals

  1. N. Karssemeijer and J. Hendriks, "Computer-assisted reading of mammograms", European Radiology, 1997;7(5):743-748.
    Abstract DOI PMID Cited by ~77

1996

Papers in international journals

  1. N. Karssemeijer and G. te Brake, "Detection of stellate distortions in mammograms", IEEE Transactions on Medical Imaging, 1996;15(5):611-619.
    Abstract DOI PMID Cited by ~373
  2. J. Barentsz, G. Jager, P. van Vierzen, J. Witjes, S. Strijk, H. Peters, N. Karssemeijer and S. Ruijs, "Staging urinary bladder cancer after transurethral biopsy: value of fast dynamic contrast-enhanced MR imaging", Radiology, 1996;201(1):185-193.
    Abstract PMID Cited by ~222
  3. N. Karssemeijer and M. Thijssen, "Determination of contrast-detail curves of mammography systems by automated image analysis", Digital Mammography, 1996;96:155-160.
    Abstract Cited by ~91

1993

Papers in international journals

  1. N. Karssemeijer, J. Frieling and J. Hendriks, "Spatial resolution in digital mammography", Investigative Radiology, 1993;28(5):413-419.
    Abstract PMID Cited by ~121
  2. N. Karssemeijer, "Adaptive noise equalization and recognition of microcalcification clusters in mammograms", Int J Patt Recogn Artif Intell, 1993;7:1357-1375.
    Abstract DOI Cited by ~203

Papers in conference proceedings

  1. N. Karssemeijer, "Common database for research in mammographic image analysis", Medical Imaging, 1993;1905:542-543.
    Abstract DOI Cited by ~12
  2. N. Karssemeijer, "Recognition of clustered microcalcifications using a random field model", Medical Imaging, 1993;1905:776-786.
    Abstract DOI Cited by ~51

1992

Papers in international journals

  1. H. Nab, N. Karssemeijer, L. Erning and J. Hendriks, "Comparison of digital and conventional mammography: a ROC study of 270 mammograms", Medical Informatics, 1992;17(2):125-131.
    Abstract PMID Cited by ~45
  2. N. Karssemeijer, "Stochastic model for automated detection of calcifications in digital mammograms", Image and Vision Computing, 1992;10(6):369 - 375.
    Abstract DOI Cited by ~82

1991

Papers in conference proceedings

  1. N. Karssemeijer and L. van Erning, "Iso-precision scaling of digitized mammograms to facilitate image analysis", Medical Imaging, 1991;1445:166-177.
    Abstract DOI Cited by ~28

1990

Papers in international journals

  1. H. Nab, N. Karssemeijer, L. van Erning, A. Verbeek and J. Hendriks, "Digital mammography is very useful in mass screening of breast cancer", Nederlands Tijdschrift voor Geneeskunde, 1990;134(49):2383-2387.
    Abstract PMID Cited by ~3
  2. N. Karssemeijer, "A relaxation method for image segmentation using a spatially dependent stochastic model", Pattern Recognition Letters, 1990;11(1):13 - 23.
    Abstract DOI Cited by ~25
  3. N. Karssemeijer, "A statistical method for automatic labeling of tissues in medical images", Machine Vision and Applications, 1990;3(2):75-86.
    Abstract Url Cited by ~26

1989

PhD theses

  1. N. Karssemeijer, "Interpretation of Medical Images by Model Guided Analysis", PhD thesis, 1989.
    Abstract Url Cited by ~1

1988

Papers in international journals

  1. N. Karssemeijer, L. van Erning and E. Eijkman, "Recognition of organs in CT-image sequences: a model guided approach", Computers and Biomedical Research, 1988;21(5):434-448.
    Abstract DOI PMID Cited by ~64
  2. P. Vink and N. Karssemeijer, "Low back muscle activity and pelvic rotation during walking", Anatomy and Embryology, 1988;178(5):455-460.
    Abstract DOI PMID Cited by ~20

1987

Papers in international journals

  1. N. Karssemeijer and E. Eijkman, "Modelling and representation of myocardial perfusion images for the evaluation of diagnostic properties", Medical and Biological Engineering and Computing, 1987;25(2):181-188.
    Abstract DOI PMID Cited by ~1