Nico Karssemeijer

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 44

Top Venues

Digital Mammography / IWDM

Medical Imaging: Computer-Aided Diagnosis

CoRR

IEEE Trans. Medical Imaging

Publications

Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen
Improving lesion volume measurements on digital mammograms. Medical Image Anal. 97 (2024)
Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen
Improving Lesion Volume Measurements on Digital Mammograms. CoRR (2023)
Andreas D. Lauritzen, My Catarina von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk. CoRR (2022)
Christiana Balta, Ioannis Sechopoulos, Ramona W. Bouwman, Mireille J. M. Broeders, Nico Karssemeijer, Ruben E. van Engen, Wouter J. H. Veldkamp
New difference of Gaussian channel-sets for the channelized Hotelling observer? Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Doiriel Vanegas C., Mahlet A. Birhanu, Nico Karssemeijer, Albert Gubern-Mérida, Michiel Kallenberg
A deep learning method for volumetric breast density estimation from processed full field digital mammograms. Medical Imaging: Computer-Aided Diagnosis (2019)
Claudio Marrocco, Alessandro Bria, Valerio Di Sano, Lucas R. Borges, Benedetta Savelli, Mario Molinara, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella
Mammogram denoising to improve the calcification detection performance of convolutional nets. IWBI (2018)
Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR. CoRR (2018)
David Tellez, Maschenka Balkenhol, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Francesco Ciompi
H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection. Medical Imaging: Digital Pathology (2018)
Alejandro Rodríguez-Ruiz, Jan-Jurre Mordang, Nico Karssemeijer, Ioannis Sechopoulos, Ritse M. Mann
Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support? IWBI (2018)
Alessandro Bria, Claudio Marrocco, Lucas R. Borges, Mario Molinara, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella
Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization. IEEE Trans. Medical Imaging 37 (8) (2018)
David Tellez, Maschenka Balkenhol, Irene Otte-Höller, Rob van de Loo, Rob Vogels, Peter Bult, Carla Wauters, Willem Vreuls, Suzanne Mol, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Francesco Ciompi
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. IEEE Trans. Medical Imaging 37 (9) (2018)
Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel
Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR. Medical Imaging: Image Processing (2018)
Alejandro Rodríguez-Ruiz, Jonas Teuwen, Kaman Chung, Nico Karssemeijer, Margarita Chevalier, Albert Gubern-Mérida, Ioannis Sechopoulos
Pectoral muscle segmentation in breast tomosynthesis with deep learning. Medical Imaging: Computer-Aided Diagnosis (2018)
Alessandro Bria, Claudio Marrocco, Mario Molinara, Benedetta Savelli, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella
Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets. IWBI (2018)
Alejandro Rodríguez-Ruiz, Ruben E. van Engen, Koen Michielsen, Ramona W. Bouwman, Suzan Vreemann, Nico Karssemeijer, Ritse M. Mann, Ioannis Sechopoulos
How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study. IWBI (2018)
David Tellez, Maschenka Balkenhol, Irene Otte-Höller, Rob van de Loo, Rob Vogels, Peter Bult, Carla Wauters, Willem Vreuls, Suzanne Mol, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Francesco Ciompi
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. CoRR (2018)
Thijs Kooi, Geert Litjens, Bram van Ginneken, Albert Gubern-Mérida, Clara I. Sánchez, Ritse Mann, Ard den Heeten, Nico Karssemeijer
Large scale deep learning for computer aided detection of mammographic lesions. Medical Image Anal. 35 (2017)
Agnese Marchesi, Alessandro Bria, Claudio Marrocco, Mario Molinara, Jan-Jurre Mordang, Francesco Tortorella, Nico Karssemeijer
The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks. CBMS (2017)
Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. ISBI (2017)
Alessandro Bria, Claudio Marrocco, Adrian Galdran, Aurélio Campilho, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. ICIAP (2) (2017)
Thijs Kooi, Nico Karssemeijer
Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses. Medical Imaging: Computer-Aided Diagnosis (2017)
Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. MICCAI (3) (2017)
Babak Ehteshami Bejnordi, Jimmy Lin, Ben Glass, Maeve Mullooly, Gretchen L. Gierach, Mark E. Sherman, Nico Karssemeijer, Jeroen van der Laak, Andrew H. Beck
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. CoRR (2017)
Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. CoRR (2017)
Thijs Kooi, Jan-Jurre Mordang, Nico Karssemeijer
Conditional random field modelling of interactions between findings in mammography. Medical Imaging: Computer-Aided Diagnosis (2017)
Babak Ehteshami Bejnordi, Guido C. A. Zuidhof, Maschenka Balkenhol, Meyke Hermsen, Peter Bult, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images. CoRR (2017)
Thijs Kooi, Nico Karssemeijer
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks. CoRR (2017)
Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Inge van Uden, Clara I. Sánchez, Geert Litjens, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities. CoRR (2016)
Babak Ehteshami Bejnordi, Geert Litjens, Nadya Timofeeva, Irene Otte-Höller, André Homeyer, Nico Karssemeijer, Jeroen A. W. M. van der Laak
Stain Specific Standardization of Whole-Slide Histopathological Images. IEEE Trans. Medical Imaging 35 (2) (2016)
Jan-Jurre Mordang, Tim Janssen, Alessandro Bria, Thijs Kooi, Albert Gubern-Mérida, Nico Karssemeijer
Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks. Digital Mammography / IWDM (2016)
Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, I. W. M. van Uden, Frank-Erik de Leeuw, Elena Marchiori, Bram van Ginneken, Bram Platel
Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation. ISBI (2016)
Alessandro Bria, Claudio Marrocco, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms. Digital Mammography / IWDM (2016)
Katharina Holland, Carla H. van Gils, Johanna O. P. Wanders, Ritse M. Mann, Nico Karssemeijer
Quantification of mammographic masking risk with volumetric breast density maps: how to select women for supplemental screening. Medical Imaging: Computer-Aided Diagnosis (2016)
Mohammad Razavi, Lei Wang, Tao Tan, Nico Karssemeijer, Lars Linsen, Udo Frese, Horst K. Hahn, Gabriel Zachmann
Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI. MLMI@MICCAI (2016)
Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Mayra Bergkamp, Joost Wissink, Jiri Obels, Karlijn Keizer, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin. CoRR (2016)
Michiel Kallenberg, Mads Nielsen, Katharina Holland, Nico Karssemeijer, Christian Igel, Martin Lillholm
Learning Density Independent Texture Features. Digital Mammography / IWDM (2016)
Babak Ehteshami Bejnordi, Maschenka Balkenhol, Geert Litjens, Roland Holland, Peter Bult, Nico Karssemeijer, Jeroen A. W. M. van der Laak
Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images. IEEE Trans. Medical Imaging 35 (9) (2016)
Thijs Kooi, Albert Gubern-Mérida, Jan-Jurre Mordang, Ritse Mann, Ruud Pijnappel, Klaas Schuur, Ard den Heeten, Nico Karssemeijer
A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography. Digital Mammography / IWDM (2016)
Albert Gubern-Mérida, Tao Tan, Jan van Zelst, Ritse M. Mann, Nico Karssemeijer
Automated linking of suspicious findings between automated 3D breast ultrasound volumes. Medical Imaging: Computer-Aided Diagnosis (2016)
Alessandro Bria, Claudio Marrocco, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
Deep Cascade Classifiers to Detect Clusters of Microcalcifications. Digital Mammography / IWDM (2016)
Michiel Kallenberg, Kersten Petersen, Mads Nielsen, Andrew Y. Ng, Pengfei Diao, Christian Igel, Celine M. Vachon, Katharina Holland, Rikke Rass Winkel, Nico Karssemeijer, Martin Lillholm
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. IEEE Trans. Medical Imaging 35 (5) (2016)
Thomy Mertzanidou, John H. Hipwell, Sara Reis, Babak Ehteshami Bejnordi, Meyke Hermsen, Mehmet Dalmis, Suzan Vreemann, Bram Platel, Jeroen van der Laak, Nico Karssemeijer, Ritse Mann, Peter Bult, David J. Hawkes
Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology. Digital Mammography / IWDM (2016)
Katharina Holland, Ioannis Sechopoulos, Gerard J. den Heeten, Ritse M. Mann, Nico Karssemeijer
Performance of Breast Cancer Screening Depends on Mammographic Compression. Digital Mammography / IWDM (2016)
Mehmet Ufuk Dalmis, Albert Gubern-Mérida, Cristina Borelli, Suzan Vreemann, Ritse M. Mann, Nico Karssemeijer
A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI. Medical Imaging: Computer-Aided Diagnosis (2016)
Jan-Jurre Mordang, Nico Karssemeijer
Vessel segmentation in screening mammograms. Medical Imaging: Computer-Aided Diagnosis (2015)
Mohsen Ghafoorian, Nico Karssemeijer, Inge van Uden, Frank-Erik de Leeuw, Tom Heskes, Elena Marchiori, Bram Platel
Small white matter lesion detection in cerebral small vessel disease. Medical Imaging: Computer-Aided Diagnosis (2015)
Albert Gubern-Mérida, Michiel Kallenberg, Ritse Mann, Robert Marti, Nico Karssemeijer
Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework. IEEE J. Biomed. Health Informatics 19 (1) (2015)
Albert Gubern-Mérida, Robert Marti, Jaime Melendez, Jakob L. Hauth, Ritse M. Mann, Nico Karssemeijer, Bram Platel
Automated localization of breast cancer in DCE-MRI. Medical Image Anal. 20 (1) (2015)
Mohammad Razavi, Lei Wang, Albert Gubern-Mérida, Tatyana Ivanovska, Hendrik Laue, Nico Karssemeijer, Horst K. Hahn
Towards Accurate Segmentation of Fibroglandular Tissue in Breast MRI Using Fuzzy C-Means and Skin-Folds Removal. ICIAP (1) (2015)
Babak Ehteshami Bejnordi, Geert Litjens, Meyke Hermsen, Nico Karssemeijer, Jeroen A. W. M. van der Laak
A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images. Medical Imaging: Digital Pathology (2015)
Thijs Kooi, Nico Karssemeijer
Invariant Features for Discriminating Cysts from Solid Lesions in Mammography. Digital Mammography / IWDM (2014)
Mandana Javanshir Moghaddam, Tao Tan, Nico Karssemeijer, Bram Platel
Automatic nipple detection on 3D images of an automated breast ultrasound system (ABUS). Medical Imaging: Image Processing (2014)
Geert Litjens, Oscar Debats, Jelle O. Barentsz, Nico Karssemeijer, Henkjan J. Huisman
Computer-Aided Detection of Prostate Cancer in MRI. IEEE Trans. Medical Imaging 33 (5) (2014)
Thijs Kooi, Nico Karssemeijer
Boosting classification performance in computer aided diagnosis of breast masses in raw full-field digital mammography using processed and screen film images. Medical Imaging: Computer-Aided Diagnosis (2014)
Thomy Mertzanidou, John H. Hipwell, Mehmet Dalmis, Bram Platel, Jeroen van der Laak, Ritse Mann, Nico Karssemeijer, Peter Bult, David J. Hawkes
Towards Spatial Correspondence between Specimen and In-vivo Breast Imaging. Digital Mammography / IWDM (2014)
Katharina Holland, Michiel Kallenberg, Ritse Mann, Carla van Gils, Nico Karssemeijer
Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms. Digital Mammography / IWDM (2014)
Jan-Jurre Mordang, Jakob L. Hauth, Gerard J. den Heeten, Nico Karssemeijer
Automated Labeling of Screening Mammograms with Arterial Calcifications. Digital Mammography / IWDM (2014)
Alessandro Bria, Nico Karssemeijer, Francesco Tortorella
Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications. Medical Image Anal. 18 (2) (2014)
Thomy Mertzanidou, John H. Hipwell, Stian Flage Johnsen, Lianghao Han, Björn Eiben, Zeike A. Taylor, Sébastien Ourselin, Henkjan J. Huisman, Ritse Mann, Ulrich Bick, Nico Karssemeijer, David J. Hawkes
MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters. Medical Image Anal. 18 (4) (2014)
Bram Platel, Roel Mus, Tessa Welte, Nico Karssemeijer, Ritse Mann
Automated Characterization of Breast Lesions Imaged With an Ultrafast DCE-MR Protocol. IEEE Trans. Medical Imaging 33 (2) (2014)
Babak Ehteshami Bejnordi, Nadya Timofeeva, Irene Otte-Höller, Nico Karssemeijer, Jeroen A. W. M. van der Laak
Quantitative analysis of stain variability in histology slides and an algorithm for standardization. Medical Imaging: Digital Pathology (2014)
Tao Tan, Jan van Zelst, Wei Zhang, Ritse M. Mann, Bram Platel, Nico Karssemeijer
Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification. Medical Imaging: Computer-Aided Diagnosis (2014)
Kersten Petersen, Mads Nielsen, Pengfei Diao, Nico Karssemeijer, Martin Lillholm
Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning. Digital Mammography / IWDM (2014)
Tao Tan, Bram Platel, Michael Hicks, Ritse M. Mann, Nico Karssemeijer
Finding lesion correspondences in different views of automated 3D breast ultrasound. Medical Imaging: Computer-Aided Diagnosis (2013)
Guido van Schie, Ritse Mann, Mechli Imhof-Tas, Nico Karssemeijer
Generating Synthetic Mammograms From Reconstructed Tomosynthesis Volumes. IEEE Trans. Medical Imaging 32 (12) (2013)
Wendy J. M. van de Ven, Yipeng Hu, Jelle O. Barentsz, Nico Karssemeijer, Dean C. Barratt, Henkjan J. Huisman
Surface-based prostate registration with biomechanical regularization. Medical Imaging: Image-Guided Procedures (2013)
Tao Tan, Bram Platel, Roel Mus, László K. Tabár, Ritse M. Mann, Nico Karssemeijer
Computer-Aided Detection of Cancer in Automated 3-D Breast Ultrasound. IEEE Trans. Medical Imaging 32 (9) (2013)
Albert Gubern-Mérida, Lei Wang, Michiel Kallenberg, Robert Marti, Horst K. Hahn, Nico Karssemeijer
Breast segmentation in MRI: quantitative evaluation of three methods. Medical Imaging: Image Processing (2013)
Medhat M. Riad, Bram Platel, Frank-Erik de Leeuw, Nico Karssemeijer
Detection of white matter lesions in cerebral small vessel disease. Medical Imaging: Computer-Aided Diagnosis (2013)
Tao Tan, Bram Platel, Ritse Mann, Henkjan J. Huisman, Nico Karssemeijer
Chest wall segmentation in automated 3D breast ultrasound scans. Medical Image Anal. 17 (8) (2013)
Christine Tanner, Guido van Schie, Jan M. Lesniak, Nico Karssemeijer, Gábor Székely
Improved location features for linkage of regions across ipsilateral mammograms. Medical Image Anal. 17 (8) (2013)
Marina Velikova, Peter J. F. Lucas, Maurice Samulski, Nico Karssemeijer
On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks. Artif. Intell. Medicine 57 (1) (2013)
Geert Litjens, Oscar Debats, Wendy J. M. van de Ven, Nico Karssemeijer, Henkjan J. Huisman
A Pattern Recognition Approach to Zonal Segmentation of the Prostate on MRI. MICCAI (2) (2012)
Jelena Bozek, Michiel Kallenberg, Mislav Grgic, Nico Karssemeijer
Comparison of Lesion Size Using Area and Volume in Full Field Digital Mammograms. Digital Mammography / IWDM (2012)
Jaime Melendez, Clara I. Sánchez, Rianne Hupse, Bram van Ginneken, Nico Karssemeijer
Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography. Digital Mammography / IWDM (2012)
Geert J. S. Litjens, Jelle O. Barentsz, Nico Karssemeijer, Henkjan J. Huisman
Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach. Medical Imaging: Computer-Aided Diagnosis (2012)
Thomy Mertzanidou, John H. Hipwell, Manuel Jorge Cardoso, Xiying Zhang, Christine Tanner, Sébastien Ourselin, Ulrich Bick, Henkjan J. Huisman, Nico Karssemeijer, David J. Hawkes
MRI to X-ray mammography registration using a volume-preserving affine transformation. Medical Image Anal. 16 (5) (2012)
Jan M. Lesniak, Guido van Schie, Christine Tanner, Bram Platel, Henkjan J. Huisman, Nico Karssemeijer, Gábor Székely
Multimodal Classification of Breast Masses in Mammography and MRI Using Unimodal Feature Selection and Decision Fusion. Digital Mammography / IWDM (2012)
Christopher E. Tromans, Guido van Schie, Nico Karssemeijer, Michael Brady
A Hypothesis-Test Framework for Quantitative Lesion Detection and Diagnosis. Digital Mammography / IWDM (2012)
Thomy Mertzanidou, John H. Hipwell, Lianghao Han, Zeike A. Taylor, Henkjan J. Huisman, Ulrich Bick, Nico Karssemeijer, David J. Hawkes
Intensity-Based MRI to X-ray Mammography Registration with an Integrated Fast Biomechanical Transformation. Digital Mammography / IWDM (2012)
Tao Tan, Bram Platel, Henkjan J. Huisman, Clara I. Sánchez, Roel Mus, Nico Karssemeijer
Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation. IEEE Trans. Medical Imaging 31 (5) (2012)
Tao Tan, Bram Platel, Roel Mus, Nico Karssemeijer
Detection of breast cancer in automated 3D breast ultrasound. Medical Imaging: Computer-Aided Diagnosis (2012)
Albert Gubern-Mérida, Michiel Kallenberg, Robert Marti, Nico Karssemeijer
Segmentation of the Pectoral Muscle in Breast MRI Using Atlas-Based Approaches. MICCAI (2) (2012)
Marina Velikova, Peter J. F. Lucas, Maurice Samulski, Nico Karssemeijer
A probabilistic framework for image information fusion with an application to mammographic analysis. Medical Image Anal. 16 (4) (2012)
Guido van Schie, Christine Tanner, Nico Karssemeijer
Estimating corresponding locations in ipsilateral breast tomosynthesis views. Medical Imaging: Computer-Aided Diagnosis (2011)
Jan M. Lesniak, Rianne Hupse, Michiel Kallenberg, Maurice Samulski, Rémi Blanc, Nico Karssemeijer, Gábor Székely
Computer aided detection of breast masses in mammography using support vector machine classification. Medical Imaging: Computer-Aided Diagnosis (2011)
Michiel G. J. Kallenberg, Mariëtte A. J. Lokate, Carla H. van Gils, Nico Karssemeijer
Automatic breast density segmentation based on pixel classification. Medical Imaging: Computer-Aided Diagnosis (2011)
Albert Gubern-Mérida, Michiel Kallenberg, Robert Marti, Nico Karssemeijer
Multi-class Probabilistic Atlas-Based Segmentation Method in Breast MRI. IbPRIA (2011)
Sami S. Brandt, Gopal Karemore, Nico Karssemeijer, Mads Nielsen
An Anatomically Oriented Breast Coordinate System for Mammogram Analysis. IEEE Trans. Medical Imaging 30 (10) (2011)
Maurice Samulski, Nico Karssemeijer
Optimizing Case-Based Detection Performance in a Multiview CAD System for Mammography. IEEE Trans. Medical Imaging 30 (4) (2011)
Tao Tan, Henkjan J. Huisman, Bram Platel, André Grivegnée, Roel Mus, Nico Karssemeijer
Classification of breast lesions in automated 3D breast ultrasound. Medical Imaging: Computer-Aided Diagnosis (2011)
Christine Tanner, Nico Karssemeijer, Gábor Székely
Deformation models for registering MR and 3D ultrasound breast images. ISBI (2011)
Geert J. S. Litjens, Pieter C. Vos, Jelle O. Barentsz, Nico Karssemeijer, Henkjan J. Huisman
Automatic computer aided detection of abnormalities in multi-parametric prostate MRI. Medical Imaging: Computer-Aided Diagnosis (2011)
Marina Velikova, Peter J. F. Lucas, Nico Karssemeijer
Using Local Context Information to Improve Automatic Mammographic Mass Detection. MedInfo (2010)
Ralph Highnam, Michael Brady, Martin J. Yaffe, Nico Karssemeijer, Jennifer A. Harvey
. Digital Mammography / IWDM (2010)
Nico Karssemeijer
Computer aided detection in breast imaging: more than perception AID. ISBI (2010)
Michiel Kallenberg, Nico Karssemeijer
Comparison of Tilt Correction Methods in Full Field Digital Mammograms. Digital Mammography / IWDM (2010)
Oscar A. Debats, Nico Karssemeijer, Jelle O. Barentsz, Henkjan J. Huisman
Automated classification of lymph nodes in USPIO-enhanced MR-images: a comparison of three segmentation methods. Medical Imaging: Computer-Aided Diagnosis (2010)
Aliaksei Makarau, Henkjan J. Huisman, Roel Mus, Miranda Zijp, Nico Karssemeijer
Breast MRI intensity non-uniformity correction using mean-shift. Medical Imaging: Computer-Aided Diagnosis (2010)
Sheila Timp, Celia Varela, Nico Karssemeijer
Computer-aided diagnosis with temporal analysis to improve radiologists' interpretation of mammographic mass lesions. IEEE Trans. Inf. Technol. Biomed. 14 (3) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nico Karssemeijer