Publications of Nico Karssemeijer

Accepted or to appear

Papers in international journals

  1. M.U. Dalmış, A. Gubern-Merida, 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. Abstract/PDF DOI PMID

  2. G. Napolitano, E. Lynge, M. Lillholm, I. Vejborg, C.H. van Gils, M. Nielsen and N. Karssemeijer. "Change in mammographic density across birth cohorts of Dutch breast cancer screening participants", International Journal of Cancer. Abstract/PDF DOI PMID


2019

Papers in conference proceedings

  1. C. Balta, I. Sechopolous, R. Bouwman, M. Broeders, N. Karssemeijer, R. Van Engen and W. Veldkamp. "New difference of Gaussian channel-sets for the channelized Hotelling observer?", in: Medical Imaging of SPIE, 2019. DOI


Theses

  1. A.R. Ruiz. "Artificial intelligence & tomosynthesis for breast cancer detection", PhD thesis, Radboud University, Nijmegen, The Netherlands, 2019. Abstract/PDF


2018

Papers in international journals

  1. J.J. Mordang, A. Gubern-Mérida, A. Bria, F. Tortorella, R.M. Mann, M.J.M. Broeders, G.J. den Heeten and N. Karssemeijer. "The importance of early detection of calcifications associated with breast cancer in screening", Breast Cancer Research and Treatment 2018;167:451-458. Abstract/PDF DOI PMID

  2. S. Vreemann, A. Gubern-Mérida, C. Borelli, P. Bult, N. Karssemeijer and R.M. Mann. "The correlation of background parenchymal enhancement in the contralateral breast with patient and tumor characteristics of MRI-screen detected breast cancers", PLoS One 2018;13:e0191399. Abstract/PDF DOI PMID

  3. C. Balta, R.W. Bouwman, I. Sechopoulos, M.J.M. Broeders, N. Karssemeijer, R.E. van Engen and W.J.H. Veldkamp. "A model observer study using acquired mammographic images of an anthropomorphic breast phantom", Medical physics 2018;45:655-665. Abstract/PDF DOI PMID

  4. C. Balta, R.W. Bouwman, I. Sechopoulos, M.J.M. Broeders, N. Karssemeijer, R.E. van Engen and W.J.H. Veldkamp. "Can a Channelized Hotelling Observer assess image quality in acquired mammographic images of an anthropomorphic breast phantom including image processing?", Medical physics 2018. Abstract DOI PMID

  5. A. Bria, C. Marrocco, L.R. Borges, M. Molinara, A. Marchesi, J.-J. Mordang, N. Karssemeijer and F. Tortorella. "Improving the Automated Detection of Calcifications using Adaptive Variance Stabilization", IEEE Transactions on Medical Imaging 2018;37(8):1857-1864. Abstract/PDF DOI PMID

  6. M.U. Dalmış, S. Vreemann, T. Kooi, R.M. Mann, N. Karssemeijer and A. Gubern-Mérida. "Fully automated detection of breast cancer in screening MRI using convolutional neural networks", Journal of medical imaging (Bellingham, Wash.) 2018;5:014502. Abstract/PDF DOI PMID

  7. B. Ehteshami Bejnordi, M. Mullooly, R.M. Pfeiffer, S. Fan, P.M. Vacek, D.L. Weaver, S. Herschorn, L.A. Brinton, B. van Ginneken, N. Karssemeijer, A.H. Beck, G.L. Gierach, J.A.W.M. van der Laak and M.E. Sherman. "Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies", Modern Pathology 2018;31(10):1502-1512. Abstract/PDF DOI PMID

  8. S.V. de Lange, M.F. Bakker, E.M. Monninkhof, P.H.M. Peeters, P.K. de Koekkoek-Doll, R.M. Mann, M.J.C.M. Rutten, R.H.C. Bisschops, J. Veltman, K.M. Duvivier, M.B.I. Lobbes, H.J. de Koning, N. Karssemeijer, R.M. Pijnappel, W.B. Veldhuis and C.H. van Gils. "Reasons for (non)participation in supplemental population-based MRI breast screening for women with extremely dense breasts", Clinical radiology 2018;73(8):759e1-759e9. Abstract/PDF DOI PMID

  9. A. Rodriguez-Ruiz, A. Gubern-Merida, M. Imhof-Tas, S. Lardenoije, A.J.T. Wanders, I. Andersson, S. Zackrisson, K. Lång, M. Dustler, N. Karssemeijer, R.M. Mann and I. Sechopoulos. "One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more?", European radiology 2018;28:1938-1948. Abstract/PDF DOI PMID

  10. A. Rodriguez-Ruiz, J. Teuwen, S. Vreemann, R.W. Bouwman, R.E. van Engen, N. Karssemeijer, R.M. Mann, A. Gubern-Merida and I. Sechopoulos. "New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers.", Acta radiologica (Stockholm, Sweden : 1987) 2018;59:1051-1059. Abstract/PDF DOI PMID

  11. D. Tellez, M. Balkenhol, I. Otte-Holler, R. van de Loo, R. Vogels, P. Bult, C. Wauters, W. Vreuls, S. Mol, N. Karssemeijer, G. Litjens, J. van der Laak and F. Ciompi. "Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks", IEEE Transactions on Medical Imaging 2018;37(9):2126 - 2136. Abstract/PDF DOI PMID

  12. S. Vreemann, A. Gubern-Merida, S. Lardenoije, P. Bult, N. Karssemeijer, K. Pinker and R.M. Mann. "The frequency of missed breast cancers in women participating in a high-risk MRI screening program", Breast Cancer Research and Treatment 2018;169:323-331. Abstract/PDF DOI PMID

  13. S. Vreemann, A. Gubern-Mérida, M.S. Schlooz-Vries, P. Bult, C.H. van Gils, N. Hoogerbrugge, N. Karssemeijer and R.M. Mann. "Influence of Risk Category and Screening Round on the Performance of an MR Imaging and Mammography Screening Program in Carriers of the BRCA Mutation and Other Women at Increased Risk", Radiology 2018;286:443-451. Abstract/PDF DOI PMID

  14. S. Vreemann, J.C.M. van Zelst, M. Schlooz-Vries, P. Bult, N. Hoogerbrugge, N. Karssemeijer, A. Gubern-Mérida and R.M. Mann. "The added value of mammography in different age-groups of women with and without BRCA mutation screened with breast MRI", Breast Cancer Research 2018;20:84. Abstract/PDF DOI PMID

  15. J.C.M. van Zelst, T. Tan, P. Clauser, A. Domingo, M.D. Dorrius, D. Drieling, M. Golatta, F. Gras, M. de Jong, R. Pijnappel, M.J.C.M. Rutten, N. Karssemeijer and R.M. Mann. "Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts.", European Radiology 2018;28:2996-3006. Abstract/PDF DOI PMID

  16. J.C.M. van Zelst, S. Vreemann, H.-J. Witt, A. Gubern-Merida, M.D. Dorrius, K. Duvivier, S. Lardenoije-Broker, M.B.I. Lobbes, C. Loo, W. Veldhuis, J. Veltman, D. Drieling, N. Karssemeijer and R.M. Mann. "Multireader Study on the Diagnostic Accuracy of Ultrafast Breast Magnetic Resonance Imaging for Breast Cancer Screening", Investigative Radiology 2018;53(10):579-586. Abstract/PDF DOI PMID


Papers in conference proceedings

  1. D. Tellez, M. Balkenhol, N. Karssemeijer, G. Litjens, J. van der Laak and F. Ciompi. "H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection", in: Medical Imaging, volume 10581 of Proceedings of the SPIE, 2018. Abstract/PDF DOI

  2. M. Ghafoorian, J. Teuwen, R. Manniesing, F.-E. de Leeuw, B. van Ginneken, N. Karssemeijer and B. Platel. "Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR", in: Medical Imaging, volume 10574, 2018, page 105742U. Abstract/PDF DOI arXiv

  3. A. Rodriguez-Ruiz, J. Teuwen, K. Chung, N. Karssemeijer, M. Chevalier, A. Gubern-Merida and I. Sechopoulos. "Pectoral muscle segmentation in breast tomosynthesis with deep learning", in: Medical Imaging, 2018. Abstract/PDF DOI


Theses

  1. M. Ghafoorian. "Machine Learning for Quantification of Small Vessel Disease Imaging Biomarkers", PhD thesis, Radboud University, Nijmegen, The Netherlands, 2018. Abstract/PDF URL

  2. T. Kooi. "Computer aided diagnosis of breast cancer in mammography using deep neural networks", PhD thesis, Radboud University, Nijmegen, The Netherlands, 2018. Abstract/PDF


2017

Papers in international journals

  1. B.E. Bejnordi, G. Zuidhof, M. Balkenhol, M. Hermsen, P. Bult, B. van Ginneken, N. Karssemeijer, G. Litjens and J. van der Laak. "Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images", Journal of Medical Imaging 2017;4:044504. Abstract/PDF DOI PMID

  2. B. Ehteshami Bejnordi, M. Veta, P.J. van Diest, B. van Ginneken, N. Karssemeijer, G. Litjens, J.A.W.M. van der Laak, the CAMELYON16 Consortium, M. Hermsen, Q.F. Manson, M. Balkenhol, O. Geessink, N. Stathonikos, M.C. van Dijk, P. Bult, F. Beca, A.H. Beck, D. Wang, A. Khosla, R. Gargeya, H. Irshad, A. Zhong, Q. Dou, Q. Li, H. Chen, H.-J. Lin, P.-A. Heng, C. Haß, E. Bruni, Q. Wong, U. Halici, M. Ü. Öner, R. Cetin-Atalay, M. Berseth, V. Khvatkov, A. Vylegzhanin, O. Kraus, M. Shaban, N. Rajpoot, R. Awan, K. Sirinukunwattana, T. Qaiser, Y.-W. Tsang, D. Tellez, J. Annuscheit, P. Hufnagl, M. Valkonen, K. Kartasalo, L. Latonen, P. Ruusuvuori, K. Liimatainen, S. Albarqouni, B. Mungal, A. George, S. Demirci, N. Navab, S. Watanabe, S. Seno, Y. Takenaka, H. Matsuda, H. Ahmady Phoulady, V. Kovalev, A. Kalinovsky, V. Liauchuk, G. Bueno, M.M. Fernandez-Carrobles, I. Serrano, O. Deniz, D. Racoceanu and R. Venâncio. "Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer", Journal of the American Medical Association 2017;318:2199-2210. Abstract/PDF DOI PMID

  3. J.C.M. van Zelst, R.D.M. Mus, G. Woldringh, M.J.C.M. Rutten, P. Bult, S. Vreemann, M. de Jong, N. Karssemeijer, N. Hoogerbrugge and R.M. Mann. "Surveillance of Women with the BRCA1 or BRCA2 Mutation by Using Biannual Automated Breast US, MR Imaging, and Mammography", Radiology 2017;285:376-388. Abstract/PDF DOI PMID

  4. J.O. Wanders, K. Holland, N. Karssemeijer, P.H. Peeters, W.B. Veldhuis, R.M. Mann and C.H. van Gils. "The effect of volumetric breast density on the risk of screen-detected and interval breast cancers: a cohort study", Breast Cancer Research 2017;19(1):67. Abstract/PDF DOI PMID

  5. M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, C. Sánchez, G. Litjens, F.-E. de Leeuw, B. van Ginneken, E. Marchiori and B. Platel. "Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities", Nature Scientific Reports 2017;7(1):5110. Abstract/PDF DOI arXiv PMID

  6. M.U. Dalmis, G. Litjens, K. Holland, A. Setio, R. Mann, N. Karssemeijer and A. Gubern-Mérida. "Using deep learning to segment breast and fibroglandular tissue in MRI volumes", Medical Physics 2017;44:533-546. Abstract/PDF DOI PMID

  7. K. Holland, A. Gubern-Mérida, R.M. Mann and N. Karssemeijer. "Optimization of volumetric breast density estimation in digital mammograms", Physics in Medicine and Biology 2017;62(9):3779-3797. Abstract/PDF DOI PMID

  8. K. Holland, C.H. van Gils, R.M. Mann and N. Karssemeijer. "Quantification of masking risk in screening mammography with volumetric breast density maps", Breast Cancer Research and Treatment 2017;162(3):541-548. Abstract/PDF DOI PMID

  9. J.O.P. Wanders, K. Holland, W.B. Veldhuis, R.M. Mann, R.M. Pijnappel, P.H.M. Peeters, C.H. van Gils and N. Karssemeijer. "Volumetric breast density affects performance of digital screening mammography", Breast Cancer Research and Treatment 2017;162(1):95-103. Abstract/PDF DOI PMID

  10. M. Ghafoorian, N. Karssemeijer, T. Heskes, M. Bergkamp, J. Wissink, J. Obels, K. Keizer, F.-E. de Leeuw, B. v. Ginneken, E. Marchiori and B. Platel. "Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin", NeuroImage. Clinical 2017;14:391-399. Abstract DOI PMID

  11. K. Holland, I. Sechopoulos, R.M. Mann, G.J. den Heeten, C.H. van Gils and N. Karssemeijer. "Influence of breast compression pressure on the performance of population-based mammography screening", Breast Cancer Research 2017;19(1):126. Abstract/PDF DOI PMID

  12. T. Kooi, B. van Ginneken, N. Karssemeijer and A. den Heeten. "Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network", Medical Physics 2017;44:1017-1027. Abstract/PDF DOI PMID

  13. T. Kooi and N. Karssemeijer. "Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks", Journal of Medical Imaging 2017;4(4):International Society for Optics. Abstract/PDF DOI PMID

  14. T. Kooi, G. Litjens, B. van Ginneken, A. Gubern-Merida, C.I. Sanchez, R. Mann, A. den Heeten and N. Karssemeijer. "Large scale deep learning for computer aided detection of mammographic lesions", Medical Image Analysis 2017;35:303-312. Abstract/PDF DOI PMID

  15. T. Mertzanidou, J.H. Hipwell, S. Reis, D.J. Hawkes, B.E. Bejnordi, M. Dalmis, S. Vreemann, B. Platel, J. van der Laak, N. Karssemeijer, M. Hermsen, P. Bult and R. Mann. "3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging", Medical Physics 2017;44:935-948. Abstract/PDF DOI PMID

  16. J.-J. Mordang, A. Gubern-Merida, A. Bria, F. Tortorella, G. den Heeten and N. Karssemeijer. "Improving computer-aided detection assistance in breast cancer screening by removal of obviously false-positive findings", Medical Physics 2017;44(4):1390-1401. Abstract/PDF DOI PMID

  17. A. Rodriguez-Ruiz, J. Teuwen, S. Vreemann, R.W. Bouwman, R.E. van Engen, N. Karssemeijer, R.M. Mann, A. Gubern-Merida and I. Sechopoulos. "New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers", Acta Radiologica 2017:028418511774848. PDF DOI

  18. S. Vreemann, A. Rodriguez-Ruiz, D. Nickel, L. Heacock, L. Appelman, J. van Zelst, N. Karssemeijer, E. Weiland, M. Maas, L. Moy, B. Kiefer and R.M. Mann. "Compressed Sensing for Breast MRI: Resolving the Trade-Off Between Spatial and Temporal Resolution", Investigative Radiology 2017;52:574-582. Abstract/PDF DOI PMID

  19. J.C.M. van Zelst, M. Balkenhol, T. Tan, M. Rutten, M. Imhof-Tas, P. Bult, N. Karssemeijer and R.M. Mann. "Sonographic Phenotypes of Molecular Subtypes of Invasive Ductal Cancer in Automated 3-D Breast Ultrasound", Ultrasound in Medicine and Biology 2017;43:1820-1828. Abstract/PDF DOI PMID


Papers in conference proceedings

  1. M. Ghafoorian, A. Mehrtash, T. Kapur, N. Karssemeijer, E. Marchiori, M. Pesteie, C.R.G. Guttmann, F.-E. de Leeuw, C.M. Tempany, B. van Ginneken, A. Fedorov, P. Abolmaesumi, B. Platel and W.M. Wells. "Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation.", in: Medical Image Computing and Computer-Assisted Intervention, volume 10435 of Lecture Notes in Computer Science, 2017, pages 516-524. Abstract/PDF DOI arXiv

  2. B.E. Bejnordi, J. Lin, B. Glass, M. Mullooly, G. Gierach, M. Sherman, N. Karssemeijer, J.A. van der Laak and A. Beck. "Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images", in: IEEE International Symposium on Biomedical Imaging, 2017, pages 929-932. Abstract/PDF DOI arXiv PMID

  3. T. Kooi and N. Karssemeijer. "Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses", in: Medical Imaging, volume 10133, 2017, page 101341J. Abstract/PDF DOI

  4. T. Kooi, J.-J. Mordang and N. Karssemeijer. "Conditional Random Field Modelling of Interactions Between Findings in Mammography", in: Medical Imaging, volume 10133, 2017, page 101341E. Abstract/PDF DOI


Abstracts

  1. J. Teuwen, M. Kallenberg, A. Gubern-Merida, A. Rodriguez-Ruiz, N. Karssemeijer and R. Mann. "Automated pre-selection of mammograms without abnormalities using deep learning", in: Annual Meeting of the Radiological Society of North America, 2017. Abstract


Theses

  1. B. Bejnordi. "Histopathological diagnosis of breast cancer using machine learning", PhD thesis, Radboud University, Nijmegen, The Netherlands, 2017. Abstract/PDF URL

  2. K. Holland. "Breast density measurement for personalised screening", PhD thesis, 2017. Abstract/PDF URL


2016

Papers in international journals

  1. M. Ghafoorian, N. Karssemeijer, I.W.M. van Uden, F.-E. de Leeuw, T. Heskes, E. Marchiori and B. Platel. "Automated Detection of White Matter Hyperintensities of All Sizes in Cerebral Small Vessel Disease", Medical Physics 2016;43(12):6246-6258. Abstract/PDF DOI PMID

  2. B.E. Bejnordi, M. Balkenhol, G. Litjens, R. Holland, P. Bult, N. Karssemeijer and J. van der Laak. "Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images", IEEE Transactions on Medical Imaging 2016;35(9):2141-2150. Abstract/PDF DOI PMID

  3. K. Holland, J. van Zelst, G.J. den Heeten, M. Imhof-Tas, R.M. Mann, C.H. van Gils and N. Karssemeijer. "Consistency of breast density categories in serial screening mammograms: A comparison between automated and human assessment.", Breast 2016;29:49-54. Abstract/PDF DOI PMID

  4. T. Tan, A. Gubern-Mérida, C. Borelli, R. Manniesing, J. van Zelst, L. Wang, W. Zhang, B. Platel, R.M. Mann and N. Karssemeijer. "Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model", Medical Physics 2016;43(7):4074-4084. Abstract/PDF DOI PMID

  5. B.E. Bejnordi, G. Litjens, N. Timofeeva, I. Otte-Holler, A. Homeyer, N. Karssemeijer and J. van der Laak. "Stain specific standardization of whole-slide histopathological images", IEEE Transactions on Medical Imaging 2016;35(2):404-415. Abstract/PDF DOI PMID

  6. M. Kallenberg, K. Petersen, M. Nielsen, A. Ng, P. Diao, C. Igel, C. Vachon, K. Holland, N. Karssemeijer and M. Lillholm. "Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring", IEEE Transactions on Medical Imaging 2016;35:1322-1331. Abstract/PDF DOI PMID

  7. J.-J. Mordang, A. Gubern-Mérida, G. den Heeten and N. Karssemeijer. "Reducing false positives of microcalcification detection systems by removal of breast arterial calcifications", Medical Physics 2016;43(4):1676-1687. Abstract/PDF DOI PMID

  8. S. Schalekamp, N. Karssemeijer, A.M. Cats, B. De Hoop, B.H.J. Geurts, O. Berger-Hartog, B. van Ginneken and C.M. Schaefer-Prokop. "The Effect of Supplementary Bone-Suppressed Chest Radiographs on the Assessment of a Variety of Common Pulmonary Abnormalities: Results of an Observer Study", Journal of Thoracic Imaging 2016;31(2):119-125. Abstract/PDF DOI PMID

  9. M. Dalmis, A. Gubern-Mérida, S. Vreemann, N. Karssemeijer, R. Mann and B. Platel. "A Computer-Aided Diagnosis System for Breast DCE-MRI at High Spatiotemporal Resolution", Medical Physics 2016;43(1):84-94. Abstract/PDF DOI PMID

  10. A. Gubern-Mérida, S. Vreemann, R. Marti, J. Melendez, S. Lardenoije, R. Mann, N. Karssemeijer and B. Platel. "Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk", European Journal of Radiology 2016;85(2):472-479. Abstract/PDF DOI PMID


Papers in conference proceedings

  1. A. Bria, C. Marrocco, N. Karssemeijer, M. Molinara and F. Tortorella. "Deep Cascade Classifiers to Detect Clusters of Microcalcifications", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 415-422. Abstract/PDF DOI

  2. A. Bria, C. Marrocco, J.J. Mordang, N. Karssemeijer, M. Molinara and F. Tortorella. "LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 27-34. Abstract/PDF DOI

  3. T. Kooi, A. Gubern-Mérida, J.J. Mordang, R. Mann, R. Pijnappel, K. Schuur, A. den Heeten and N. Karssemeijer. "A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 51-56. Abstract/PDF DOI

  4. T. Mertzanidou, J. Hipwell, S. Reis, B.E. Bejnordi, M. Hermsen, M. Dalmis, S. Vreemann, B. Platel, J. van der Laak, N. Karssemeijer, R. Mann, P. Bult and D. Hawkes. "Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 367-374. Abstract/PDF DOI

  5. J.J. Mordang, T. Janssen, A. Bria, T. Kooi, A. Gubern-Mérida and N. Karssemeijer. "Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 35-42. Abstract/PDF DOI

  6. M. Kallenberg, M. Nielsen, K. Holland, N. Karssemeijer, C. Igel and M. Lillholm. "Learning Density Independent Texture Features", in: Breast Imaging, volume 9699, 2016, pages 299-306. Abstract/PDF DOI

  7. K. Holland, I. Sechopoulos, G. den Heeten, R. Mann and N. Karssemeijer. "Performance of breast cancer screening depends on mammographic compression", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 183-189. Abstract/PDF DOI

  8. K. Holland, C.H. van Gils, J.O.P. Wanders, R.M. Mann and N. Karssemeijer. "Quantification of mammographic masking risk with volumetric breast density maps: How to select women for supplemental screening", in: Medical Imaging of Proceedings of the SPIE, 2016. Abstract/PDF DOI

  9. M. Ghafoorian, N. Karssemeijer, T. Heskes, I.W.M. van Uden, F.-E. de Leeuw, E. Marchiori, B. van Ginneken and B. Platel. "Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation", in: IEEE International Symposium on Biomedical Imaging, 2016, pages 1414-1417. Abstract/PDF DOI

  10. A. Gubern-Mérida, T. Tan, J. van Zelst, R.M. Mann and N. Karssemeijer. "Automated linking of suspicious findings between automated 3D breast ultrasound volumes", in: Medical Imaging of Proceedings of the SPIE, 2016. Abstract/PDF


Abstracts

  1. K. Kallenberg, M. Nielsen, K. Holland, N. Karssemeijer and M. Lillholm. "Breast Cancer Risk Prediction with Density Independent Texture Features", in: Annual Meeting of the Radiological Society of North America, 2016. Abstract

  2. N. Karssemeijer, K. Holland, I. Sechopoulos, R. Mann, G. den Heeten and C. van Gils. "High Breast Compression in Mammography May Reduce Sensitivity", in: Annual Meeting of the Radiological Society of North America, 2016. Abstract

  3. 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", in: Annual conference of the International Agency for Research on Cancer, 2016. Abstract

  4. S. Vreemann, A. Gubern-Mérida, C. Borelli, N. Karssemeijer and R. Mann. "Background Parenchymal Enhancement as a predictor of breast cancer grade: a pilot study", in: European Congress of Radiology, 2016. Abstract

  5. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, N. Karssemeijer and R. Mann. "The performance of MRI screening in the detection of breast cancer in an intermediate and high risk screening program", in: Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2016. Abstract

  6. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, N. Karssemeijer and R. Mann. "Differences between cancers detected in prophylactic mastectomy specimen, screen detected cancers and true interval cancers in women participating in an intermediate and high risk screening program", in: European Breast Cancer Conference, 2016. Abstract

  7. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, N. Karssemeijer and R. Mann. "Prognostic factors of interval carcinomas occurring in an intermediate and high risk breast cancer screening program", in: European Congress of Radiology, 2016. Abstract


Theses

  1. W. van de Ven. "MRI guided TRUS prostate biopsy - a viable alternative?", PhD thesis, Radboud Universiteit Nijmegen, 2016. Abstract/PDF URL


2015

Papers in international journals

  1. D. van der Waal, M.J. Emaus, M.F. Bakker, G.J. den Heeten, N. Karssemeijer, R.M. Pijnappel, W.B. Veldhuis, A.L.M. Verbeek, C.H. van Gils and M.J.M. Broeders. "Geographic variation in volumetric breast density between screening regions in the Netherlands.", Eur Radiol 2015;25(11):3328-3337. Abstract DOI PMID

  2. M.J. Emaus, M.F. Bakker, P.H.M. Peeters, C.E. Loo, R.M. Mann, M.D.F. de Jong, R.H.C. Bisschops, J. Veltman, K.M. Duvivier, M.B.I. Lobbes, R.M. Pijnappel, N. Karssemeijer, H.J. de Koning, M.A.A.J. van den Bosch, E.M. Monninkhof, W.P.T.M. Mali, W.B. Veldhuis and C.H. 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

  3. G.J.S. Litjens, J.O. Barentsz, N. Karssemeijer and H.J. Huisman. "Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI", European Radiology 2015;25(11):3187-3199. Abstract/PDF DOI PMID

  4. W.J.M. van de Ven, Y. Hu, J.O. Barentsz, N. Karssemeijer, D. Barratt and H.J. Huisman. "Biomechanical modeling constrained surface-based image registration for prostate MR guided TRUS biopsy", Medical Physics 2015;42:2470. Abstract/PDF DOI PMID

  5. A.M. Bluekens, W.J. Veldkamp, K.H. Schuur, N. Karssemeijer, M.J. Broeders and G.J. 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;88:20140626. Abstract/PDF DOI PMID

  6. A. Gubern-Mérida, M. Kallenberg, R.M. 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;19:349-357. Abstract/PDF DOI PMID

  7. 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/PDF DOI PMID

  8. T. Tan, J.-J. Mordang, J. van Zelst, A. Grivegnée, A. Gubern-Mérida, J. Melendez, R.M. 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;42:1498-1504. Abstract/PDF DOI PMID

  9. J.C. Van Zelst, B. Platel, N. Karssemeijer and R.M. Mann. "Multiplanar reconstructions of 3D automated breast ultrasound improve lesion differentiation by radiologists", Academic radiology 2015;22(12):1489-1496. Abstract DOI


Papers in conference proceedings

  1. A. Gubern-Mérida, T. Tan, J. van Zelst, R.M. Mann, B. Platel and N. Karssemeijer. "Pectoral muscle surface segmentation in automated 3D breast ultrasound using cylindrical transform and atlas information", in: MICCAI Workshop: Breast Image Analysis, 2015. PDF

  2. M. Razavi, L. Wang, A. Gubern-Mérida, T. Ivanovska, H. Laue, N. Karssemeijer and H.K. Hahn. "Towards Accurate Segmentation of Fibroglandular Tissue in Breast MRI Using Fuzzy C-Means and Skin-Folds Removal", in: Image Analysis and Processing—ICIAP 2015, 2015, pages 528-536. PDF

  3. J.-J. Mordang and N. Karssemeijer. "Vessel segmentation in screening mammograms", in: Medical Imaging, volume 9414 of Proceedings of the SPIE, 2015, page 94140J. Abstract/PDF DOI

  4. B.E. Bejnordi, G. Litjens, M. Hermsen, N. Karssemeijer and J.A.W.M. van der Laak. "A multi-scale superpixel classification approach for region of interest detection in whole slide histopathology images", in: Medical Imaging, volume 9420 of Proceedings of the SPIE, 2015, page 94200H. Abstract/PDF DOI

  5. M. Ghafoorian, N. Karssemeijer, F.E. de Leeuw, T. Heskes, E. Marchiori and B. Platel. "Small White Matter Lesion Detection in Cerebral Small Vessel Disease", in: Medical Imaging, volume 9414 of Proceedings of the SPIE, 2015, page 941411. Abstract/PDF DOI


Abstracts

  1. 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", in: European Congress of Radiology, 2015. Abstract

  2. 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", in: Annual Meeting of the Radiological Society of North America, 2015. Abstract

  3. A. Gubern-Mérida, T. Tan, J. van Zelst, R.M. Mann, B. Platel and N. Karssemeijer. "Evaluation of a Novel Method to Segment the Pectoral Muscle Surface in Automated Whole Breast Ultrasound", in: Annual Meeting of the Radiological Society of North America, 2015. Abstract

  4. A. Gubern-Mérida, S. Vreemann, R. Marti, J. Melendez, R.M. 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", in: Annual Meeting of the Radiological Society of North America, 2015. Abstract

  5. 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?", in: Annual Meeting of the Radiological Society of North America, 2015. Abstract

  6. 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", in: Annual Meeting of the Radiological Society of North America, 2015. Abstract

  7. K. Holland, C. van Gils, J. Wanders, R. Mann and N. Karssemeijer. "Consistency of density categories over multiple screening rounds using volumetric breast density", in: Annual Meeting of the Radiological Society of North America, 2015. Abstract

  8. 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", in: Annual Meeting of the Radiological Society of North America, 2015. Abstract

  9. K. Holland, A. Gubern-Mérida, R. Mann and N. Karssemeijer. "Improved volumetric breast density assessment in dense breasts", in: 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015. Abstract

  10. 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", in: 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.

  11. J.O.P. Wanders, K. Holland, P.H.M. Peeters, N. Karssemeijer and C.H. van Gils. "Combined effect of dense and nondense breast volume on breast cancer risk", in: 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.

  12. J.O.P. Wanders, K. Holland, P.H.M. Peeters, N. Karssemeijer and C.H. van Gils. "Volumetric breast density and the risk of screen detected and interval breast cancer", in: 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.

  13. J.O.P. Wanders, K. Holland, W.B. Veldhuis, R.M. Mann, P.H.M. Peeters, C.H. van Gils and N. Karssemeijer. "Effect of volumetric mammographic density on performance of a breast cancer screening program using full-field digital mammography", in: 7th International Workshop on Breast Densitometry and Cancer Risk Assessment, 2015.

  14. 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", in: European Congress of Radiology, 2015. Abstract

  15. 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?", in: European Congress of Radiology, 2015. Abstract

  16. A. Gubern-Mérida, S. Vreemann, R. Marti, J. Melendez, S. Lardenoije, R.M. Mann, B. Platel and N. Karssemeijer. "Automated detection of breast cancer as an aid in the interpretation of screening MRI", in: European Congress of Radiology, 2015. Abstract

  17. M.G. Kallenberg, K. Petersen, M. Lillholm, D.R. Jørgensen, 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", in: ECR, 2015. Abstract

  18. 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", in: Annual Meeting of the Radiological Society of North America, 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?", in: Annual Meeting of the Radiological Society of North America, 2015. Abstract


Theses

  1. J. Melendez. "Improving computer-aided detection systems through advanced pattern recognition techniques", PhD thesis, Radboud Universiteit Nijmegen, 2015. Abstract/PDF URL

  2. S. Schalekamp. "Advanced processing in chest radiography: impact on observer performance", PhD thesis, Radboud Universiteit Nijmegen, 2015. Abstract/PDF URL

  3. A. Gubern-Mérida. "Automated Analysis of Magnetic Resonance Imaging of the Breast", PhD thesis, Radboud Universiteit Nijmegen / Universitat de Girona, 2015. Abstract/PDF URL

  4. G.J.S. Litjens. "Computerized detection of cancer in multi-parametric prostate MRI", PhD thesis, Radboud Universiteit Nijmegen, 2015. Abstract/PDF URL


2014

Papers in international journals

  1. G. Karemore, M. Nielsen, N. Karssemeijer and S.S. Brandt. "A method to determine the mammographic regions that show early changes due to the development of breast cancer", Physics in Medicine and Biology 2014;59:6759-6773. Abstract/PDF DOI PMID

  2. S. Schalekamp, B. van Ginneken, I.A.H. van den Berk, I.J.C. Hartmann, M.M. Snoeren, A.E. Odink, W. van Lankeren, S.A.H. Pegge, L.J. Schijf, N. Karssemeijer and C.M. Schaefer-Prokop. "Bone suppression increases the visibility of invasive pulmonary aspergillosis in chest radiographs", PLoS One 2014;9:e108551. Abstract/PDF DOI PMID

  3. B. Platel, R. Mus, T. Welte, N. Karssemeijer and R. Mann. "Automated Characterization of Breast Lesions Imaged with an Ultrafast DCE-MR Protocol", IEEE Transactions on Medical Imaging 2014:225-232. Abstract/PDF DOI PMID

  4. S. Schalekamp, B. van Ginneken, E. Koedam, M.M. Snoeren, A.M. Tiehuis, R. Wittenberg, N. Karssemeijer and C.M. Schaefer-Prokop. "Computer-aided detection improves detection of pulmonary nodules in chest radiographs beyond the support by bone-suppressed images", Radiology 2014;272:252-261. Abstract/PDF DOI PMID

  5. S. Schalekamp, B. van Ginneken, C.M. Schaefer-Prokop and N. Karssemeijer. "Influence of study design in receiver operating characteristics studies: sequential versus independent reading", Journal of Medical Imaging 2014;1:015501-015501. Abstract/PDF DOI

  6. J. Melendez, C.I. Sánchez, B. van Ginneken and N. Karssemeijer. "Improving mass candidate detection in mammograms via feature maxima propagation and local feature selection", Medical Physics 2014;41:081904. Abstract/PDF DOI PMID

  7. C. Chen, M. Nielsen, N. Karssemeijer and S.S. Brandt. "Breast tissue segmentation from x-ray radiographs", Physics in Medicine and Biology 2014;59:2445-2456. Abstract/PDF DOI PMID

  8. T. Mertzanidou, J. Hipwell, S. Johnsen, L. Han, B. Eiben, Z. Taylor, S. Ourselin, H. Huisman, R. Mann, U. Bick, N. Karssemeijer and D. Hawkes. "MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters", Medical Image Analysis 2014;18:674-683. Abstract/PDF DOI PMID

  9. M. Nielsen, C.M. Vachon, C.G. Scott, K. Chernoff, G. Karemore, N. Karssemeijer, M. Lillholm and M.A. Karsdal. "Mammographic texture resemblance generalizes as an independent risk factor for breast cancer", Breast Cancer Research 2014;16:R37. Abstract/PDF DOI PMID

  10. H. Liu, T. Tan, J. van Zelst, R. Mann, N. Karssemeijer and B. Platel. "Incorporating texture features in a computer-aided breast lesion diagnosis system for automated three-dimensional breast ultrasound", Journal of Medical Imaging 2014;1:024501-024501. Abstract/PDF DOI

  11. R.M. Mann, R.D. Mus, J. van Zelst, C. Geppert, N. Karssemeijer and B. Platel. "A Novel Approach to Contrast-Enhanced Breast Magnetic Resonance Imaging for Screening: High-Resolution Ultrafast Dynamic Imaging", Investigative Radiology 2014;49:579-585. Abstract/PDF DOI PMID

  12. S. Schalekamp, B. van Ginneken, B. Heggelman, M. Imhof-Tas, I. Somers, M. Brink, M. Spee, C. Schaefer-Prokop and N. Karssemeijer. "New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs", British Journal of Radiology 2014;87:20140015. Abstract/PDF DOI PMID

  13. G. Litjens, O. Debats, J. Barentsz, N. Karssemeijer and H. Huisman. "Computer-aided detection of prostate cancer in MRI", IEEE Transactions on Medical Imaging 2014;33:1083-1092. Abstract/PDF DOI PMID

  14. J. Bozek, M. Kallenberg, M. Grgic and N. Karssemeijer. "Use of volumetric features for temporal comparison of mass lesions in full field digital mammograms", Medical Physics 2014;41:021902. Abstract/PDF DOI PMID

  15. S. Schalekamp, B. van Ginneken, E. Koedam, M.M. Snoeren, A.M. Tiehuis, R. Wittenberg, N. Karssemeijer and C.M. Schaefer-Prokop. "Computer aided detection improves detection of pulmonary nodules in chest radiographs beyond the support by bone suppressed images", Radiology 2014;272:252-261. Abstract/PDF DOI PMID

  16. S. Schalekamp, B. van Ginneken, N. Karssemeijer and C.M. Schaefer-Prokop. "Chest radiography: new technological developments and their applications", Seminars in Respiratory and Critical Care Medicine 2014;35:3-16. Abstract/PDF DOI PMID

  17. A. Gubern-Mérida, M. Kallenberg, B. Platel, R. Mann, R. Marti and N. Karssemeijer. "Volumetric breast density estimation from Full-Field Digital Mammograms: A validation study", PLoS One 2014;9:e85952. Abstract/PDF DOI PMID


Papers in conference proceedings

  1. K. Holland, M. Kallenberg, R. Mann, C. van Gils and N. Karssemeijer. "Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms", in: Breast Imaging -12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings, volume 8539 of Lecture Notes in Computer Science, 2014. PDF DOI

  2. J.-J. Mordang, J. Hauth, G. den Heeten and N. Karssemeijer. "Automated Labeling of Screening Mammograms with Arterial Calcifications", in: Breast Imaging, volume 8539 of Lecture Notes in Computer Science, 2014. PDF DOI

  3. B. Ehteshami Bejnordi, N. Timofeeva, I. Otte-Höller, N. Karssemeijer and J. van der Laak. "Quantitative analysis of stain variability in histology slides and an algorithm for standardization", in: Medical Imaging of Proceedings of the SPIE, 2014. Abstract/PDF DOI


Abstracts

  1. S. Schalekamp, I. van den Berk, I. Hartmann, M. Snoeren, A. Odink, S. Pegge, L. Schijf, N. Karssemeijer and C.M. Schaefer-Prokop. "Bone suppressed images improve pulmonary fungal infection detection in chest radiographs", in: European Congress of Radiology, 2014. Abstract

  2. S. Schalekamp, N. Karssemeijer, C. Schaefer-Prokop and B. van Ginneken. "Double reading improves detection of small lung tumors in chest radiographs: can a computer aided detection system replace the second reader?", in: European Congress of Radiology, 2014. Abstract

  3. W.J.M. van de Ven, S. Rinsma, N. Karssemeijer, J.O. Barentsz and H.J. Huisman. "Electro-magnetic tracker-based fusion for image-guided TRUS prostate biopsy", in: European Congress of Radiology, 2014. Abstract

  4. G. Litjens, N. Karssemeijer, J.O. Barentsz and H. Huisman. "Computer-aided Detection of Prostate Cancer in Multi-parametric Magnetic Resonance Imaging", in: Annual Meeting of the Radiological Society of North America, 2014. Abstract


Theses

  1. G. van Schie. "Image Computing Methods for Accurate and Efficient Interpretation of Digital Breast Tomosynthesis", PhD thesis, Radboud Universiteit Nijmegen, 2014. PDF URL

  2. T. Tan. "Automated 3D Breast Ultrasound Image Analysis", PhD thesis, Radboud Universiteit Nijmegen, 2014. PDF URL


2013

Papers in international journals

  1. S. Schalekamp, B. van Ginneken, L. Meiss, L. Peters-Bax, L.G.B.A. Quekel, M.M. Snoeren, A.M. Tiehuis, R. Wittenberg, N. Karssemeijer and C.M. Schaefer-Prokop. "Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs", European Journal of Radiology 2013;82:2399-2405. Abstract/PDF DOI PMID

  2. A. Bria, N. Karssemeijer and F. Tortorella. "Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications", Medical Image Analysis 2013;18:241-252. Abstract/PDF DOI PMID

  3. T. Tan, B. Platel, T. Twellmann, G. van Schie, R. Mus, A. Grivegnée, R.M. 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;20:1381-1388. Abstract/PDF DOI PMID

  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;32:2322-2331. Abstract/PDF DOI PMID

  5. C. Tanner, G. van Schie, J.M. Lesniak, N. Karssemeijer and G. Székely. "Improved location features for linkage of regions across ipsilateral mammograms", Medical Image Analysis 2013;17:1265-1272. Abstract/PDF DOI PMID

  6. 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/PDF DOI PMID

  7. M.L. Giger, N. Karssemeijer and J.A. Schnabel. "Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer", Annual Review of Biomedical Engineering 2013;15:327-57. Abstract/PDF DOI PMID

  8. G. van Schie, M.G. 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;40:041902. Abstract/PDF DOI PMID

  9. M. Velikova, P.J.F. 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;57:73–86. Abstract/PDF DOI PMID

  10. T. Tan, B. Platel, R.M. Mann, H. Huisman and N. Karssemeijer. "Chest Wall Segmentation in Automated 3D Breast Ultrasound Scans", Medical Image Analysis 2013;17:1273–1281. Abstract/PDF DOI PMID

  11. R. Hupse, M. Samulski, M.B. Lobbes, R.M. Mann, R. Mus, G.J. den Heeten, D. Beijerinck, R.M. Pijnappel, C. Boetes and N. Karssemeijer. "Computer-aided Detection of Masses at Mammography: Interactive Decision Support versus Prompts", Radiology 2013;266:123-129. Abstract/PDF DOI PMID

  12. R. Hupse, M. Samulski, M. Lobbes, A. den Heeten, M.W. 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/PDF DOI PMID


Papers in conference proceedings

  1. A. Gubern-Mérida, B. Platel, R. Martí and N. Karssemeijer. "Automated localization of malignant lesions in breast DCE-MRI", in: MICCAI Workshop: Breast Image Analysis, 2013. Abstract/PDF

  2. 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", in: MICCAI Workshop: Breast Image Analysis, 2013. PDF

  3. M.M. Riad, B. Platel, F.-E. de Leeuw and N. Karssemeijer. "Detection of white matter lesions in cerebral small vessel disease", in: Medical Imaging, volume 8670 of Proceedings of the SPIE, 2013. Abstract DOI

  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", in: Medical Imaging of Proceedings of the SPIE, 2013, page 86730Y. Abstract/PDF DOI

  5. A. Gubern-Mérida, L. Wang, M. Kallenberg, R. Martí, H. Hahn and N. Karssemeijer. "Breast segmentation in MRI: quantitative evaluation of three methods", in: Medical Imaging of Proceedings of the SPIE, 2013, pages 86693G-86693G-7. Abstract/PDF DOI

  6. W.J.M. van de Ven, Y. Hu, J.O. Barentsz, N. Karssemeijer, D. Barratt and H.J. Huisman. "Surface-based prostate registration with biomechanical regularization", in: Medical Imaging, volume 8671 of Proceedings of the SPIE, 2013, page 86711R. Abstract/PDF DOI


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"", in: 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"", in: MIPS, 2013. Abstract

  3. 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"", in: Annual Meeting of the Radiological Society of North America, 2013. Abstract

  4. W.J.M. van de Ven, N. Karssemeijer, J.O. Barentsz and H.J. Huisman. "Image registration for prostate MR guided biopsy using automated biomechanical modeling", in: Annual Meeting of the Radiological Society of North America, 2013. Abstract

  5. G. Litjens, J.O. 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?", in: Annual Meeting of the Radiological Society of North America, 2013. Abstract

  6. 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", in: Annual Meeting of the Radiological Society of North America, 2013. Abstract

  7. 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", in: European Congress of Radiology, 2013. Abstract


2012

Papers in international journals

  1. A.M.J. Bluekens, R. Holland, N. Karssemeijer, M.J.M. Broeders and G.J. 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/PDF DOI PMID

  2. J.M. 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;57:5295-5307. Abstract/PDF DOI PMID

  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;57:5155-5168. Abstract/PDF DOI PMID

  4. M.J. Stoutjesdijk, M. Zijp, C. Boetes, N. Karssemeijer, J.O. 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/PDF DOI PMID

  5. T. Mertzanidou, J. Hipwell, M.J. 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;16:966-975. Abstract/PDF DOI PMID

  6. R. Visser, W.J.H. Veldkamp, D. Beijerinck, P.A.M. Bun, J.J.M. Deurenberg, M.W. Imhof-Tas, K.H. Schuur, M.M. Snoeren, G.J. den Heeten, N. Karssemeijer and M.J.M. Broeders. "Increase in perceived case suspiciousness due to local contrast optimisation in digital screening mammography", European Radiology 2012;22:908-914. Abstract/PDF DOI PMID

  7. P.C. Vos, J.O. Barentsz, N. Karssemeijer and H.J. Huisman. "Automatic computer-aided detection of prostate cancer based on multiparametric magnetic resonance image analysis", Physics in Medicine and Biology 2012;57:1527-1542. Abstract/PDF DOI PMID

  8. M. Velikova, P.J.F. 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/PDF DOI PMID

  9. T. Tan, B. Platel, H. Huisman, C.I. Sánchez, R. Mus and N. Karssemeijer. "Computer Aided Lesion Diagnosis in Automated 3D Breast Ultrasound Using Coronal Spiculation", IEEE Transactions on Medical Imaging 2012;31:1034-1042. Abstract/PDF DOI PMID

  10. M.G.J. Kallenberg and N. Karssemeijer. "Compression paddle tilt correction in full-field digital mammograms", Physics in Medicine and Biology 2012;57:703-715. Abstract/PDF DOI PMID


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", in: Medical Image Computing and Computer-Assisted Intervention, volume 15 of Lecture Notes in Computer Science, 2012, pages 371-378. Abstract/PDF DOI PMID

  2. G. Litjens, N. Karssemeijer and H.J. Huisman. "A multi-atlas approach for prostate segmentation in MRI", in: MICCAI Workshop: Prostate Cancer Imaging: The PROMISE12 Prostate Segmentation Challenge, 2012. PDF

  3. G. Litjens, O.A. Debats, W.J.M. van de Ven, N. Karssemeijer and H.J. Huisman. "A pattern recognition approach to zonal segmentation of the prostate on MRI", in: Medical Image Computing and Computer-Assisted Intervention, volume 7511 of Lecture Notes in Computer Science, 2012, pages 413-420. Abstract/PDF DOI

  4. J. Bozek, M.G.J. Kallenberg, M. Grgic and N. Karssemeijer. "Comparison of Lesion Size Using Area and Volume in Full Field Digital Mammograms", in: IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, volume 7361 of Lecture Notes in Computer Science, 2012, pages 96-103. Abstract/PDF DOI

  5. J. Melendez, C.I. Sánchez, R. Hupse, B. van Ginneken and N. Karssemeijer. "Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography", in: IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, volume 7361 of Lecture Notes in Computer Science, 2012, pages 682-689. Abstract/PDF DOI

  6. J.M. 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", in: IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, volume 7361 of Lecture Notes in Computer Science, 2012, pages 88-95. Abstract/PDF DOI

  7. C. Tromans, G. van Schie, N. Karssemeijer and M. Brady. "A Hypothesis-Test Framework for Quantitative Lesion Detection and Diagnosis", in: IWDM '12: Proceedings of the 11th International Workshop on Breast Imaging, volume 7361 of Lecture Notes in Computer Science, 2012, pages 458-465. Abstract/PDF DOI

  8. T. Tan, B. Platel, R. Mus and N. Karssemeijer. "Detection of Breast Cancer in Automated 3D Breast Ultrasound", in: Medical Imaging, volume 8315 of Proceedings of the SPIE, 2012, pages 831505-1-831505-8. Abstract/PDF DOI

  9. 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", in: Medical Imaging, volume 8315 of Proceedings of the SPIE, 2012, pages 83150G-83150G-6. Abstract/PDF DOI


Abstracts

  1. 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", in: Annual Meeting of the Radiological Society of North America, 2012. Abstract

  2. 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", in: Radiologen Dagen, 2012. Abstract

  3. G. Litjens, J.O. Barentsz, N. Karssemeijer and H. Huisman. "Computerized characterization of central gland lesions using texture and relaxation features from T2-weighted prostate MRI", in: Annual Meeting of the Radiological Society of North America, 2012. Abstract

  4. J. Melendez, C.I. Sánchez, B. van Ginneken and N. Karssemeijer. "Detection of breast carcinomas potentially missed during screening by means of a standalone CAD system", in: Annual Meeting of the Radiological Society of North America, 2012. Abstract

  5. 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", in: Annual Meeting of the European Society of Thoracic Imaging, 2012. Abstract

  6. B. Platel, T. Welte, R. Mus, R. Mann, C.I. Sánchez, H. Hahn and N. Karssemeijer. "Automated Evaluation of an Ultrafast MR Imaging Protocol for the Characterization of Breast Lesions", in: Annual Meeting of the Radiological Society of North America, 2012. PDF

  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", in: Annual Meeting of the Radiological Society of North America, 2012. Abstract

  8. 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", in: Annual Meeting of the Radiological Society of North America, 2012. Abstract

  9. M. Kallenberg, C. van Gils, R.M. Mann and N. Karssemeijer. "Association between automated, volumetric measures of breast density and diagnostic outcome of mammography screening examinations", in: Annual Meeting of the Radiological Society of North America, 2012. Abstract

  10. 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", in: European Congress of Radiology, 2012. Abstract URL

  11. 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?", in: Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2012. PDF


Theses

  1. R. Hupse. "Detection of malignant masses in breast cancer screening by computer assisted decision making", PhD thesis, Radboud University Nijmegen, 2012. Abstract/PDF URL

  2. M. Kallenberg. "Quantitative Analysis of Breast Images", PhD thesis, Radboud University Nijmegen, 2012. Abstract/PDF URL


2011

Papers in international journals

  1. O.A. Debats, G. Litjens, J.O. Barentsz, N. Karssemeijer and H. Huisman. "Automated 3-Dimensional Segmentation of Pelvic Lymph Nodes in Magnetic Resonance Images", Medical Physics 2011;38:6178-6187. Abstract/PDF DOI PMID

  2. J.A.A.M. van Dijck, J.D.M. Otten, N. Karssemeijer, P. Kenemans, A.L.M. Verbeek and M.J. van der Mooren. "Less mammographic density after nasal versus oral administration of postmenopausal hormone therapy", Climacteric 2011;14:683-688. Abstract/PDF DOI PMID

  3. S. Brandt, G. Karemore, N. Karssemeijer and M. Nielsen. "An Anatomically Oriented Breast Coordinate System for Mammogram Analysis", IEEE Transactions on Medical Imaging 2011;30:1841-1851. Abstract/PDF DOI PMID

  4. G. van Schie, C. Tanner, P. Snoeren, M. Samulski, K. Leifland, M.G. Wallis and N. Karssemeijer. "Correlating locations in ipsilateral breast tomosynthesis views using an analytical hemispherical compression model", Physics in Medicine and Biology 2011;56:4715-4730. Abstract/PDF DOI PMID

  5. G.J. den Heeten and N. Karssemeijer. "[Computerised assessment of screening mammograms]", Nederlands Tijdschrift voor Geneeskunde 2011;155:A3025. Abstract/PDF PMID

  6. M. Samulski and N. Karssemeijer. "Optimizing Case-based Detection Performance in a Multiview CAD System for Mammography", IEEE Transactions on Medical Imaging 2011;30:1001-1009. Abstract/PDF DOI PMID

  7. M.G. Kallenberg, M. Lokate, C.H. van Gils and N. Karssemeijer. "Automatic breast density segmentation: an integration of different approaches", Physics in Medicine and Biology 2011;56:2715-2729. Abstract/PDF DOI PMID

  8. M. Nielsen, G. Karemore, M. Loog, J. Raundahl, N. Karssemeijer, J.D.M. Otten, M.A. Karsdal, C.M. Vachon and C. Christiansen. "A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer", Cancer Epidemiology 2011;35:381-387. Abstract/PDF DOI PMID


Papers in conference proceedings

  1. T. Tan, B. Platel, H. Huisman and N. Karssemeijer. "Chest wall segmentation in automated 3D breast ultrasound using a cylinder model", in: MICCAI Workshop: Breast Image Analysis, 2011. PDF

  2. 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", in: MICCAI Workshop: Breast Image Analysis, 2011. PDF

  3. C. Tanner, G. van Schie, N. Karssemeijer and G. Szekely. "Matching Regions for Mammographic Views: Comparison and Compensation for Deformations", in: MICCAI Workshop: Breast Image Analysis, 2011. Abstract/PDF

  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", in: MICCAI Workshop: Breast Image Analysis, 2011. Abstract/PDF

  5. P. Maduskar, L. Hogeweg, H. Ayles, R. Dawson, P.A. de Jong, N. Karssemeijer and B. van Ginneken. "Cavity segmentation in chest radiographs", in: The Fourth International Workshop on Pulmonary Image Analysis, 2011. Abstract/PDF

  6. A. Gubern-Mérida, M. Kallenberg, R. Martí and N. Karssemeijer. "Fully automatic fibroglandular tissue segmentation in breast MRI: atlas-based approach", in: MICCAI Workshop: Breast Image Analysis, 2011. Abstract/PDF

  7. G. Litjens, P. Vos, J. Barentsz, N. Karssemeijer and H. Huisman. "Automatic Computer Aided Detection of Abnormalities in Multi-Parametric Prostate MRI", in: Medical Imaging, volume 7963 of Proceedings of the SPIE, 2011. Abstract/PDF DOI

  8. A. Gubern-Mérida, M. Kallenberg, R. Martí and N. Karssemeijer. "Multi-class probabilistic atlas-based segmentation method in breast MRI", in: Pattern Recognition and Image Analysis: proceedings of 5th Iberian Conference, volume 5, 2011. Abstract/PDF

  9. 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", in: Medical Imaging, volume 7963 of Proceedings of the SPIE, 2011, page 79631K. Abstract/PDF DOI

  10. 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", in: Medical Imaging, volume 7966 of Proceedings of the SPIE, 2011, pages 796614-1-796614-6. Abstract/PDF

  11. G. van Schie, C. Tanner and N. Karssemeijer. "Estimating corresponding locations in ipsilateral breast tomosynthesis views", in: Medical Imaging, volume 7963 of Proceedings of the SPIE, 2011, page 796306. Abstract/PDF DOI

  12. T. Tan, H. Huisman, B. Platel, A. Grivignee, R. Mus and N. Karssemeijer. "Classification of Breast Lesions in Automated 3D Breast Ultrasound", in: Medical Imaging, volume 7963 of Proceedings of the SPIE, 2011, page 79630X. Abstract/PDF DOI

  13. M. Kallenberg, M. Lokate, C. van Gils and N. Karssemeijer. "Automatic breast density segmentation based on pixel classification", in: Medical Imaging, volume 7963 of Proceedings of the SPIE, 2011, page 796307. Abstract/PDF DOI


Abstracts

  1. 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", in: Annual Meeting of the Radiological Society of North America, 2011. Abstract

  2. N. Karssemeijer, R. Hupse, M. Samulski, D. Beijerinck, G.D. Heeten and C. Boetes. "Concurrent Interactive Use of CAD for Detection of Masses in Mammograms", in: Annual Meeting of the Radiological Society of North America, 2011. Abstract

  3. 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", in: Annual Meeting of the Radiological Society of North America, 2011. Abstract/PDF

  4. 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", in: Annual Meeting of the Radiological Society of North America, 2011. Abstract

  5. 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?", in: Annual Meeting of the Radiological Society of North America, 2011. Abstract

  6. G. Litjens, J.O. Barentsz, N. Karssemeijer and H. Huisman. "Zone-specific Automatic Computer-aided Detection of Prostate Cancer in MRI", in: Annual Meeting of the Radiological Society of North America, 2011. Abstract

  7. 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", in: Annual Meeting of the Radiological Society of North America, 2011. Abstract/PDF


Theses

  1. M. Samulski. "Computer Aided Detection as a Decision Aid in Medical Screening", PhD thesis, Radboud University Nijmegen, 2011. Abstract/PDF URL

  2. P. Vos. "Computer Aided Diagnosis of Prostate Cancer with Magnetic Resonance Imaging", PhD thesis, Radboud University Nijmegen, 2011. Abstract/PDF URL

  3. M.J. Stoutjesdijk. "Automated analysis of contrast enhancement in magnetic resonance imaging of the breast", PhD thesis, Radboud University Nijmegen, 2011. Abstract/PDF URL


2010

Papers in international journals

  1. M.A.J.M. Lokate, M.G.J. Kallenberg, N. Karssemeijer, M.A.A.J. van den Bosch, P.H.M. Peeters and C.H. 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;19:3096-3105. Abstract/PDF DOI PMID

  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;20:2323-2330. Abstract/PDF DOI PMID

  3. A.M.J. Bluekens, N. Karssemeijer, D. Beijerinck, J.J.M. Deurenberg, R.E. van Engen, M.J.M. Broeders and G.J. den Heeten. "Consequences of digital mammography in population-based breast cancer screening: initial changes and long-term impact on referral rates", European Radiology 2010;20:2067-2073. Abstract/PDF DOI PMID

  4. 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;14:803-808. Abstract/PDF DOI PMID

  5. 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;55:2893-2904. Abstract/PDF DOI PMID


Papers in conference proceedings

  1. M. Velikova, P.J.F. Lucas and N. Karssemeijer. "Using local context information to improve automatic mammographic mass detection", in: Studies in Health Technology and Informatics, volume 160 of MEDINFO 2010 - Proceedings of the 13th World Congress on Medical Informatics, 2010, pages 1291-1295. Abstract/PDF DOI PMID

  2. P.R. Snoeren, G. Litjens, B. van Ginneken and N. Karssemeijer. "Training a Computer Aided Detection System with Simulated Lung Nodules in Chest Radiographs", in: The Third International Workshop on Pulmonary Image Analysis, 2010, pages 139-149. Abstract/PDF

  3. O.A. Debats, N. Karssemeijer, J.O. Barentsz and H.J. Huisman. "Automated classification of lymph nodes in USPIO-enhanced MR-images: a comparison of three segmentation methods", in: Medical Imaging, volume 7624 of Proceedings of the SPIE, 2010, page 76240Q. Abstract/PDF DOI

  4. G. van Schie, M.G.W.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", in: IWDM '10: Proceedings of the 10th international workshop on Digital Mammography, 2010, pages 497-504. Abstract/PDF DOI

  5. A. Makarau, H. Huisman, R. Mus, M. Zijp and N. Karssemeijer. "Breast MRI intensity non-uniformity correction using mean-shift", in: Medical Imaging, volume 7624 of Proceedings of the SPIE, 2010, page 76242D. Abstract/PDF DOI

  6. M.G.J. Kallenberg and N. Karssemeijer. "Comparison of Tilt Correction Methods in Full Field Digital Mammograms", in: IWDM '10: Proceedings of the 10th international workshop on Digital Mammography, 2010, pages 191-196. Abstract/PDF DOI

  7. N. Karssemeijer. "Computer aided detection in breast imaging: more than perception aid", in: IEEE International Symposium on Biomedical Imaging, 2010, page 273. PDF DOI


Abstracts

  1. P.C. Vos, J.J. Fütterer, N. Karssemeijer and J.O.B.H. Huisman. "Computer-assisted Diagnosis of Prostate Cancer with Multimodal3T MR Imaging", in: Annual Meeting of the Radiological Society of North America, 2010. Abstract

  2. H. Huisman, J. Veltman, M. Zijp, R. Mann, R. Mus and N. Karssemeijer. "Dual-Time Resolution Characterization of Masses on Breast DCEMR", in: Annual Meeting of the Radiological Society of North America, 2010. Abstract


Other publications

  1. N. Karssemeijer and P.R. Snoeren. "Image Processing", 2010. Abstract/PDF URL

  2. M. Velikova, N. Ferreira, M. Samulski, P. Lucas and N. Karssemeijer. "An Advanced Probabilistic Framework for Assisting Screening Mammogram Interpretation", 2010. Abstract/PDF DOI


2009

Papers in international journals

  1. R. Hupse and N. Karssemeijer. "Use of normal tissue context in computer-aided detection of masses in mammograms", IEEE Transactions on Medical Imaging 2009;28:2033-2041. Abstract/PDF DOI PMID

  2. J.E. Iglesias and N. Karssemeijer. "Robust initial detection of landmarks in film-screen mammograms using multiple FFDM atlases", IEEE Transactions on Medical Imaging 2009;28:1815-1824. Abstract/PDF DOI PMID

  3. N. Karssemeijer, A.M. Bluekens, D. Beijerinck, J.J. Deurenberg, M. Beekman, R. Visser, R. van Engen, A. Bartels-Kortland and M.J. Broeders. "Breast cancer screening results 5 years after introduction of digital mammography in a population-based screening program", Radiology 2009;253:353-358. Abstract/PDF DOI PMID

  4. M. Velikova, M. Samulski, P.J.F. Lucas and N. Karssemeijer. "Improved mammographic CAD performance using multi-view information: a Bayesian network framework", Physics in Medicine and Biology 2009;54:1131-1147. Abstract/PDF DOI PMID


Papers in conference proceedings

  1. G. van Schie and N. Karssemeijer. "Noise model for microcalcification detection in reconstructed tomosynthesis slices", in: Medical Imaging, volume 7260 of Proceedings of the SPIE, 2009, page 72600M. Abstract/PDF DOI

  2. M.G.J. Kallenberg and N. Karssemeijer. "Using Volumetric Density Estimation in Computer Aided Mass Detection in Mammography", in: Proceedings of SPIE -- Volume 7263, Medical Imaging 2009: Computer-Aided Diagnosis, volume 7263, 2009, page 72600T. Abstract/PDF DOI

  3. 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", in: Medical Imaging, volume 7263 of Proceedings of the SPIE, 2009, page 726314. Abstract/PDF DOI

  4. M. Velikova, M. Samulski, P.J. Lucas and N. Karssemeijer. "Causal Probabilistic Modelling for Two-View Mammographic Analysis", in: AIME '09: Proceedings of the 12th Conference on Artificial Intelligence in Medicine, 2009, pages 395-404. Abstract/PDF DOI

  5. R. Hupse and N. Karssemeijer. "The use of contextual information for computer aided detection of masses in mammograms", in: Medical Imaging, volume 7260 of Proceedings of the SPIE, 2009, page 72600Q. Abstract/PDF DOI


2008

Papers in international journals

  1. A.L. Eilertsen, N. Karssemeijer, P. Skaane, E. Qvigstad and P.M. 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;115:773-779. Abstract/PDF DOI PMID

  2. 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;53:6879-6891. Abstract/PDF DOI PMID

  3. B.P.F. Lelieveldt and N. Karssemeijer. "Information Processing In Medical Imaging 2007", Medical Image Analysis 2008;12:729-730. PDF DOI PMID


Papers in conference proceedings

  1. G. van Schie and N. Karssemeijer. "Detection of Microcalcifications Using a Nonuniform Noise Model", in: IWDM '08: Proceedings of the 9th international workshop on Digital Mammography, 2008, pages 378-384. Abstract/PDF DOI

  2. R. Hupse and N. Karssemeijer. "Feature selection for computer-aided detection: comparing different selection criteria", in: Medical Imaging, volume 6915 of Proceedings of the SPIE, 2008, page 691503. Abstract/PDF DOI

  3. M.G.J. Kallenberg and N. Karssemeijer. "The Effect of Training with SFM Images in a FFDM CAD System", in: Proceedings of SPIE -- Volume 6915, Medical Imaging 2008: Computer-Aided Diagnosis, volume 6915, 2008, page 691510. Abstract/PDF DOI

  4. M.G.J. Kallenberg and N. Karssemeijer. "The Effect of Training Sample Size on Performance of Mass Detection", in: IWDM '08: Proceedings of the 9th international workshop on Digital Mammography, 2008, pages 343-349. Abstract/PDF DOI

  5. 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", in: IWDM '08: Proceedings of the 9th international workshop on Digital Mammography, 2008, pages 273-278. Abstract/PDF DOI

  6. 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", in: 94th Radiological Society of North America Scientific Assembly and Annual Meeting, 2008. Abstract URL

  7. N. Karssemeijer, M. Samulski, M. Kallenberg, A. Hupse, C. Boetes and G. den Heeten. "Effectiveness of an Interactive CAD System for Mammographic Mass Detection", in: 94th Radiological Society of North America Scientific Assembly and Annual Meeting, 2008. Abstract URL

  8. M. Samulski and N. Karssemeijer. "Linking mass regions in mediolateral oblique and cranio caudal views", in: Proceedings of the 14th ASCI conference, 2008, pages 214-221.

  9. M. Samulski and N. Karssemeijer. "Matching mammographic regions in mediolateral oblique and cranio caudal views: a probabilistic approach", in: Medical Imaging, volume 6915 of Proceedings of the SPIE, 2008, page 69151M. Abstract/PDF DOI

  10. M. Samulski, N. Karssemeijer, C. Boetes and G. den Heeten. "An Interactive Computer-aided Detection Workstation for Reading Mammograms", in: 94th Radiological Society of North America Scientific Assembly and Annual Meeting, 2008. Abstract/PDF URL

  11. M. Velikova, P.J.F. Lucas, N. Ferreira, M. Samulski and N. Karssemeijer. "A decision support system for breast cancer detection in screening programs", in: Proceeding of the 2008 conference on ECAI 2008, 2008, pages 658-662. Abstract

  12. M. Velikova, M. Samulski, N. Karssemeijer and P. Lucas. "Toward Expert Knowledge Representation for Automatic Breast Cancer Detection", in: AIMSA '08: Proceedings of the 13th international conference on Artificial Intelligence, 2008, pages 333-344. Abstract/PDF DOI


2007

Papers in international journals

  1. M.J. Stoutjesdijk, J. Veltman, H. Huisman, N. Karssemeijer, J.O. Barentsz, J.G. 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;26:606-614. Abstract/PDF DOI PMID

  2. S. Timp, C. Varela and N. Karssemeijer. "Temporal change analysis for characterization of mass lesions in mammography", IEEE Transactions on Medical Imaging 2007;26:945-953. Abstract/PDF DOI PMID

  3. J.A. van Dalen, A.L. Hoffmann, V. Dicken, W.V. Vogel, B. Wiering, T.J. Ruers, N. Karssemeijer and W.J.G. Oyen. "A novel iterative method for lesion delineation and volumetric quantification with FDG PET", Nuclear Medicine Communications 2007;28:485-493. PDF DOI PMID

  4. S. van Engeland and N. Karssemeijer. "Combining two mammographic projections in a computer aided mass detection method", Medical Physics 2007;34:898-905. Abstract/PDF DOI PMID

  5. A.A.J. Roelofs, N. Karssemeijer, N. Wedekind, C. Beck, S. van Woudenberg, P.R. Snoeren, J.H.C.L. Hendriks, M.R. del Turco, N. Bjurstam, H. Junkermann, D. Beijerinck, B. Séradour and C.J.G. Evertsz. "Importance of comparison of current and prior mammograms in breast cancer screening", Radiology 2007;242:70-77. PDF DOI PMID

  6. P.R. Snoeren and N. Karssemeijer. "Gray-scale and geometric registration of full-field digital and film-screen mammograms", Medical Image Analysis 2007;11:146-156. Abstract/PDF DOI PMID


Papers in conference proceedings

  1. H. Huisman and N. Karssemeijer. "Chestwall segmentation in 3D breast ultrasound using a deformable volume model", in: Information Processing in Medical Imaging of Lecture Notes in Computer Science, 2007, pages 245-256. Abstract/PDF DOI PMID

  2. M. Samulski, N. Karssemeijer, P. Lucas and P. Groot. "Classification of mammographic masses using support vector machines and Bayesian networks", in: Medical Imaging, volume 6514 of Proceedings of the SPIE, 2007, page 65141J. Abstract/PDF DOI


2006

Papers in international journals

  1. C. Varela, S. Timp and N. Karssemeijer. "Use of border information in the classification of mammographic masses", Physics in Medicine and Biology 2006;51:425-441. Abstract/PDF DOI PMID

  2. S. van Engeland, P.R. Snoeren, H. Huisman, C. Boetes and N. Karssemeijer. "Volumetric breast density estimation from full-field digital mammograms", IEEE Transactions on Medical Imaging 2006;25:273-282. Abstract/PDF DOI PMID

  3. S. van Engeland, S. Timp and N. Karssemeijer. "Finding corresponding regions of interest in mediolateral oblique and craniocaudal mammographic views", Medical Physics 2006;33:3203-3212. Abstract/PDF DOI PMID

  4. N. Karssemeijer, J.D.M. 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/PDF DOI PMID

  5. A.A.J. Roelofs, S. van Woudenberg, J.D.M. Otten, J.H.C.L. Hendriks, A. Bödicker, C.J.G. Evertsz and N. Karssemeijer. "Effect of soft-copy display supported by CAD on mammography screening performance", European Radiology 2006;16:45-52. Abstract/PDF DOI PMID

  6. S.E. Selvan, C.C. Xavier, N. Karssemeijer, J. Sequeira, R.A. Cherian and B.Y. Dhala. "Parameter estimation in stochastic mammogram model by heuristic optimization techniques", IEEE Transactions on Information Technology in Biomedicine 2006;10:685-695. Abstract/PDF DOI PMID

  7. S. Timp and N. Karssemeijer. "Interval change analysis to improve computer aided detection in mammography", Medical Image Analysis 2006;10:82-95. Abstract/PDF DOI PMID


Theses

  1. S. van Engeland. "Detection of mass lesions in mammograms by using multiple views", PhD thesis, Radboud University Nijmegen, 2006. Abstract/PDF URL

  2. S. Timp. "Analysis of Temporal Mammogram Pairs to Detect and Characterise Mass Lesions", PhD thesis, Radboud University Nijmegen Medical Centre, 2006. Abstract/PDF URL


2005

Papers in international journals

  1. J.D.M. Otten, N. Karssemeijer, J.H.C.L. Hendriks, J.H. Groenewoud, J. Fracheboud, A.L.M. Verbeek, H.J. 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;97:748-754. PDF DOI PMID

  2. S. Timp, S. van Engeland and N. Karssemeijer. "A regional registration method to find corresponding mass lesions in temporal mammogram pairs", Medical Physics 2005;32:2629-2638. Abstract/PDF DOI PMID

  3. C. Varela, N. Karssemeijer, J.H.C.L. Hendriks and R. Holland. "Use of prior mammograms in the classification of benign and malignant masses", European Journal of Radiology 2005;56:248-255. Abstract/PDF DOI PMID

  4. W.V. Vogel, J.A. van Dalen, H. Huisman, W.J.G. Oyen and N. Karssemeijer. "Sliced alternating DICOM series: convenient visualisation of image fusion on PACS", European Journal of Nuclear Medicine and Molecular Imaging 2005;32:247-248. PDF DOI PMID


Papers in conference proceedings

  1. S. van Engeland, C. Varela, S. Timp, P. Snoeren and N. Karssemeijer. "Using context for mass detection and classification in mammograms", in: Medical Imaging, volume 5794 of Proceedings of the SPIE, 2005, pages 94-102. Abstract/PDF

  2. S. van Engeland and N. Karssemeijer. "Regrouping initial CAD mass detections to facilitate classification of suspicious regions in mammography", in: Medical Imaging, volume 5747 of Proceedings of the SPIE, 2005, pages 975-986. Abstract/PDF DOI

  3. P.R. Snoeren and N. Karssemeijer. "Thickness correction of mammographic images by anisotropic filtering and interpolation of dense tissue", in: Medical Imaging, volume 5747 of Proceedings of the SPIE, 2005, pages 1521-1527. Abstract/PDF DOI

  4. N. Karssemeijer, P.R. Snoeren and W. Zhang. "Linearization of mammograms using parameters derived from noise characteristics", in: Information Processing in Medical Imaging, volume 3565 of Lecture Notes in Computer Science, 2005, pages 258-269. Abstract/PDF DOI PMID


2004

Papers in international journals

  1. J.A. van Dalen, W. Vogel, H.J. Huisman, W.J.G. Oyen, G.J. Jager and N. Karssemeijer. "Accuracy of rigid CT-FDG-PET image registration of the liver", Physics in Medicine and Biology 2004;49:5393-5405. PDF DOI PMID

  2. K.J. McLoughlin, P.J. Bones and N. Karssemeijer. "Noise equalization for detection of microcalcification clusters in direct digital mammogram images", IEEE Transactions on Medical Imaging 2004;23:313-320. PDF DOI PMID

  3. P.R. 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;23:799-806. PDF DOI PMID

  4. S. Timp and N. Karssemeijer. "A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography", Medical Physics 2004;31:958-971. Abstract/PDF DOI PMID


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", in: IWDM '04: Proceedings of the 7th International Workshop on Digital Mammography, 2004, pages 219-224.

  2. N. Karssemeijer, J.D. Otten, A.A.J. Roelofs, S. van Woudenberg and J.H.C.L. Hendriks. "Effect of independent multiple reading of mammograms on detection performance", in: Medical Imaging, volume 5372 of Proceedings of the SPIE, 2004, pages 82-89. PDF DOI


2003

Papers in international journals

  1. W.J.H. Veldkamp, M.A.O. Thijssen and N. Karssemeijer. "The value of scatter removal by a grid in full field digital mammography", Medical Physics 2003;30:1712-1718. Abstract/PDF PMID

  2. S. van Engeland, P. Snoeren, J. Hendriks and N. Karssemeijer. "A comparison of methods for mammogram registration", IEEE Transactions on Medical Imaging 2003;22:1436-1444. Abstract/PDF DOI PMID

  3. N. Karssemeijer, J.D.M. Otten, A.L.M. Verbeek, J.H. Groenewoud, H.J. de Koning, J.H.C.L. Hendriks and R. Holland. "Computer-aided detection versus independent double reading of masses on mammograms", Radiology 2003;227(1):192-200. PDF DOI PMID


Papers in conference proceedings

  1. S. van Engeland, P.R. Snoeren, N. Karssemeijer and J.H.C.L. Hendriks. "Optimized perception of lesion growth in mammograms using digital display", in: Medical Imaging, volume 5034 of Proceedings of the SPIE, 2003, pages 25-31. Abstract DOI

  2. T.A.A.J. Roelofs, S. van Woudenberg, J.H.C.L. Hendriks and N. Karssemeijer. "Optimized soft-copy display of digitized mammograms", in: Medical Imaging, volume 5034 of Proceedings of the SPIE, 2003, pages 10-19. Abstract DOI

  3. C. Varela, J.M. Muller and N. Karssemeijer. "Mammographic mass characterization using sharpness and lobulation measures", in: Medical Imaging, volume 5032 of Proceedings of the SPIE, 2003, pages 120-129. Abstract DOI

  4. P.R. Snoeren and N. Karssemeijer. "Gray scale registration of mammograms using a model of image acquisition", in: Information Processing in Medical Imaging, volume 18 of Lecture Notes in Computer Science, 2003, pages 401-412. Abstract/PDF DOI PMID


2002

Papers in conference proceedings

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


2001

Papers in international journals

  1. M.L. Giger, N. Karssemeijer and S.G. Armato. "Computer-aided diagnosis in medical imaging", IEEE Transactions on Medical Imaging 2001;20:1205-1208. PDF PMID

  2. G.M. te Brake and N. Karssemeijer. "Segmentation of suspicious densities in digital mammograms", Medical Physics 2001;28:259-266. Abstract/PDF DOI PMID


Papers in conference proceedings

  1. S. van Engeland and N. Karssemeijer. "Matching breast lesions in multiple mammographic views", in: Medical Image Computing and Computer-Assisted Intervention, volume 2208/2010 of Lecture Notes in Computer Science, 2001, pages 1172-1173. Abstract/PDF DOI


2000

Papers in international journals

  1. G.M. te Brake, N. Karssemeijer and J.H. Hendriks. "An automatic method to discriminate malignant masses from normal tissue in digital mammograms", Physics in Medicine and Biology 2000;45:2843-2857. PDF PMID

  2. W.J. Veldkamp and N. Karssemeijer. "Normalization of local contrast in mammograms", IEEE Transactions on Medical Imaging 2000;19:731-738. PDF DOI PMID

  3. W.J. Veldkamp, N. Karssemeijer, J.D. Otten and J.H. Hendriks. "Automated classification of clustered microcalcifications into malignant and benign types", Medical Physics 2000;27:2600-2608. Abstract/PDF DOI PMID


Theses

  1. G.M. te Brake. "Computer Aided Detection of Masses in Digital Mammograms", PhD thesis, Katholieke Universiteit Nijmegen, 2000. Abstract/PDF URL

  2. W.J.H. Veldkamp. "Computer Aided Characterization of Microcalcification Clusters in Mammograms", PhD thesis, Katholieke Universiteit Nijmegen, The Netherlands, 2000. Abstract/PDF URL


1999

Papers in international journals

  1. G.M. te Brake and N. Karssemeijer. "Single and multiscale detection of masses in digital mammograms", IEEE Transactions on Medical Imaging 1999;18:628-639. PDF DOI PMID

  2. C.H. van Gils, J.H. Hendriks, R. Holland, N. Karssemeijer, J.D. Otten, H. Straatman and A.L. Verbeek. "Changes in mammographic breast density and concomitant changes in breast cancer risk", European Journal of Cancer Prevention 1999;8:509-515. PDF PMID

  3. N. Karssemeijer, W.J. Veldkamp, G.M. te Brake and J.H. Hendriks. "[Reading screening mammograms with the help of neural networks]", Nederlands Tijdschrift voor Geneeskunde 1999;143:2232-2236. PDF PMID


Papers in conference proceedings

  1. N. Karssemeijer. "Local orientation distribution as a function of spatial scale for detection of masses in mammograms", in: Information Processing in Medical Imaging, volume 1613 of Lecture Notes in Computer Science, 1999, pages 280-293. Abstract/PDF DOI

  2. G.M. te Brake, M.J. Stoutjesdijk and N. Karssemeijer. "Discrete dynamic contour model for mass segmentation in digital mammograms", in: Medical Imaging, volume 3661 of Proceedings of the SPIE, 1999, pages 911-919. Abstract DOI

  3. W.J.H. Veldkamp and N. Karssemeijer. "Improved method for detection of microcalcification clusters in digital mammograms", in: Medical Imaging, volume 3661 of Proceedings of the SPIE, 1999, pages 512-522. Abstract DOI


1998

Papers in international journals

  1. G.M. te Brake, N. Karssemeijer and J.H. Hendriks. "Automated detection of breast carcinomas not detected in a screening program", Radiology 1998;207:465-471. PDF PMID

  2. N. Karssemeijer. "Automated classification of parenchymal patterns in mammograms", Physics in Medicine and Biology 1998;43:365-378. PDF DOI PMID


1997

Papers in international journals

  1. N. Karssemeijer and J.H. Hendriks. "Computer-assisted reading of mammograms", European Radiology 1997;7:743-748. Abstract/PDF DOI PMID


1996

Papers in international journals

  1. N. Karssemeijer and M.A.O. Thijssen. "Determination of contrast-detail curves of mammography systems by automated image analysis", Digital Mammography 1996;96:155-160. PDF

  2. N. Karssemeijer and G. te Brake. "Detection of stellate distortions in mammograms", IEEE Transactions on Medical Imaging 1996;15:611-619. PDF DOI PMID

  3. J.O. Barentsz, G.J. Jager, P.B. van Vierzen, J.A. Witjes, S.P. Strijk, H. Peters, N. Karssemeijer and S.H. Ruijs. "Staging urinary bladder cancer after transurethral biopsy: value of fast dynamic contrast-enhanced MR imaging", Radiology 1996;201:185-193. PDF PMID


1993

Papers in international journals

  1. N. Karssemeijer. "Adaptive noise equalization and recognition of microcalcification clusters in mammograms", Int J Patt Recogn Artif Intell 1993;7:1357-1375. PDF DOI

  2. N. Karssemeijer, J.T. Frieling and J.H. Hendriks. "Spatial resolution in digital mammography", Investigative Radiology 1993;28:413-419. Abstract/PDF PMID


Papers in conference proceedings

  1. N. Karssemeijer. "Recognition of clustered microcalcifications using a random field model", in: Medical Imaging, volume 1905 of Proceedings of the SPIE, 1993, pages 776-786. Abstract DOI

  2. N. Karssemeijer. "Common database for research in mammographic image analysis", in: Medical Imaging, volume 1905 of Proceedings of the SPIE, 1993, pages 542-543. DOI


1992

Papers in international journals

  1. N. Karssemeijer. "Stochastic model for automated detection of calcifications in digital mammograms", Image and Vision Computing 1992;10:369 - 375. Abstract/PDF DOI

  2. H.W. Nab, N. Karssemeijer, L.J.V. Erning and J.H. Hendriks. "Comparison of digital and conventional mammography: a ROC study of 270 mammograms", Medical Informatics 1992;17:125-131. PDF PMID


1991

Papers in conference proceedings

  1. N. Karssemeijer and L.J. van Erning. "Iso-precision scaling of digitized mammograms to facilitate image analysis", in: Medical Imaging, volume 1445 of Proceedings of the SPIE, 1991, pages 166-177. Abstract/PDF DOI


1990

Papers in international journals

  1. N. Karssemeijer. "A statistical method for automatic labeling of tissues in medical images", Machine Vision and Applications 1990;3:75-86. Abstract/PDF URL

  2. N. Karssemeijer. "A relaxation method for image segmentation using a spatially dependent stochastic model", Pattern Recognition Letters 1990;11:13 - 23. Abstract/PDF DOI

  3. H.W. Nab, N. Karssemeijer, L.J. van Erning, A.L. Verbeek and J.H. Hendriks. "[Digital mammography is very useful in mass screening of breast cancer]", Nederlands Tijdschrift voor Geneeskunde 1990;134:2383-2387. Abstract/PDF PMID


1989

Theses

  1. N. Karssemeijer. "Interpretation of Medical Images by Model Guided Analysis", PhD thesis, Radboud University Nijmegen, 1989. Abstract/PDF URL


1988

Papers in international journals

  1. P. Vink and N. Karssemeijer. "Low back muscle activity and pelvic rotation during walking", Anatomy and Embryology 1988;178:455-460. Abstract/PDF DOI PMID

  2. N. Karssemeijer, L.J. van Erning and E.G. Eijkman. "Recognition of organs in CT-image sequences: a model guided approach", Computers and Biomedical Research 1988;21:434-448. PDF DOI PMID


1987

Papers in international journals

  1. N. Karssemeijer and E.G. Eijkman. "Modelling and representation of myocardial perfusion images for the evaluation of diagnostic properties", Medical and Biological Engineering and Computing 1987;25:181-188. PDF DOI PMID