A statistical method for automatic labeling of tissues in medical images. - Nico Karssemeijer (Mach. Vis. Appl., 1990)

A relaxation method for image segmentation using a spatially dependent stochastic model. - Nico Karssemeijer (Pattern Recognit. Lett., 1990)

A Stochastic Model for Automated Detction of Calculations in Digital Mammograms. - Nico Karssemeijer (IPMI, 1991)

Stochastic model for automated detection of calcifications in digital mammograms. - Nico Karssemeijer (Image Vis. Comput., 1992)

Adaptive Noise Equalization and Image Analysis in Mammography. - Nico Karssemeijer (IPMI, 1993)

Detection of stellate distortions in mammograms. - Nico Karssemeijer; Guido M. te Brake (IEEE Trans. Medical Imaging, 1996)

Comparison of Three Mass Detection Methods. - Guido M. te Brake; Nico Karssemeijer (Digital Mammography / IWDM, 1998)

Combining Single View Features and Asymmetry for Detection of Mass Lesions. - Nico Karssemeijer; Guido M. te Brake (Digital Mammography / IWDM, 1998)

Improved Correction for Signal Dependent Noise Applied to Automatic Detection of Microcalcifications. - Wouter J. H. Veldkamp; Nico Karssemeijer (Digital Mammography / IWDM, 1998)

Local Orientation Distribution as a Function of Spatial Scale for Detection of Masses in Mammograms. - Nico Karssemeijer (IPMI, 1999)

Discrete dynamic contour model for mass segmentation in digital mammograms. - Guido M. te Brake; Mark J. Stoutjesdijk; Nico Karssemeijer (Image Processing, 1999)

Improved method for detection of microcalcification clusters in digital mammograms. - Wouter J. H. Veldkamp; Nico Karssemeijer (Image Processing, 1999)

Single and multiscale detection of masses in digital mammograms. - Guido M. te Brake; Nico Karssemeijer (IEEE Trans. Medical Imaging, 1999)

Normalization of Local Contrast in Mammograms. - Wouter J. H. Veldkamp; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2000)

Experiments with radiologists and a fully automated method for characterization of microcalcification clusters. - Wouter J. H. Veldkamp; Nico Karssemeijer; Jan H. C. L. Hendriks (CARS, 2001)

Matching Breast Lesions in Multiple Mammographic Views. - Saskia van Engeland; Nico Karssemeijer (MICCAI, 2001)

Classification of Breast Tumors on Digital Mammograms Using Laws' Texture Features. - Celia Varela; Nico Karssemeijer; Pablo G. Tahoces (MICCAI, 2001)

Computer-Aided Diagnosis in Medical Imaging. - Maryellen L. Giger; Nico Karssemeijer; Samuel G. Armato III (IEEE Trans. Medical Imaging, 2001)

Gray Scale Registration of Mammograms Using a Model of Image Acquisition. - Peter R. Snoeren; Nico Karssemeijer (IPMI, 2003)

Mammographic mass characterization using sharpness and lobulation measures. - Celia Varela; J. M. Muller; Nico Karssemeijer (Image Processing, 2003)

A Comparison of Methods for Mammogram Registration. - Saskia van Engeland; Peter R. Snoeren; Jan H. C. L. Hendriks; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2003)

Noise equalization for detection of microcalcification clusters in direct digital mammogram images. - Kristin J. McLoughlin; Philip J. Bones; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2004)

Thickness correction of mammographic images by means of a global parameter model of the compressed breast. - Peter R. Snoeren; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2004)

Linearization of Mammograms Using Parameters Derived from Noise Characteristics. - Nico Karssemeijer; Peter R. Snoeren; Wei Zhang (IPMI, 2005)

Regrouping initial CAD mass detections to facilitate classification of suspicious regions in mammography. - Saskia van Engeland; Nico Karssemeijer (Image Processing, 2005)

Thickness correction of mammographic images by anisotropic filtering and interpolation of dense tissue. - Peter R. Snoeren; Nico Karssemeijer (Image Processing, 2005)

Exploitation of Correspondence Between CC and MLO Views in Computer Aided Mass Detection. - Saskia van Engeland; Nico Karssemeijer (Digital Mammography / IWDM, 2006)

Use of Prompt Magnitude in Computer Aided Detection of Masses in Mammograms. - Nico Karssemeijer (Digital Mammography / IWDM, 2006)

Lossless Compression of Digital Mammograms. - R. Visser; L. Oostveen; Nico Karssemeijer (Digital Mammography / IWDM, 2006)

Interval change analysis to improve computer aided detection in mammography. - Sheila Timp; Nico Karssemeijer (Medical Image Anal., 2006)

Parameter Estimation in Stochastic Mammogram Model by Heuristic Optimization Techniques. - S. Easter Selvan; C. Cecil Xavier; Nico Karssemeijer; Jean Sequeira; R. A. Cherian; B. Y. Dhala (IEEE Trans. Inf. Technol. Biomed., 2006)

Volumetric breast density estimation from full-field digital mammograms. - Saskia van Engeland; Peter R. Snoeren; Henkjan J. Huisman; Carla Boetes; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2006)

Chestwall Segmentation in 3D Breast Ultrasound Using a Deformable Volume Model. - Henkjan J. Huisman; Nico Karssemeijer (IPMI, 2007)

Classification of mammographic masses using support vector machines and Bayesian networks. - Maurice Samulski; Nico Karssemeijer; Peter J. F. Lucas; Perry Groot (Computer-Aided Diagnosis, 2007)

Gray-scale and geometric registration of full-field digital and film-screen mammograms. - Peter R. Snoeren; Nico Karssemeijer (Medical Image Anal., 2007)

Temporal Change Analysis for Characterization of Mass Lesions in Mammography. - Sheila Timp; Celia Varela; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2007)

Toward Expert Knowledge Representation for Automatic Breast Cancer Detection. - Marina Velikova; Maurice Samulski; Nico Karssemeijer; Peter J. F. Lucas (AIMSA, 2008)

A decision support system for breast cancer detection in screening programs. - Marina Velikova; Peter J. F. Lucas; Nivea de Carvalho Ferreira; Maurice Samulski; Nico Karssemeijer (ECAI, 2008)

The Effect of Training Sample Size on Performance of Mass Detection. - Michiel Kallenberg; Nico Karssemeijer (Digital Mammography / IWDM, 2008)

An Interactive Computer Aided Decision Support System for Detection of Masses in Mammograms. - Nico Karssemeijer; Andrea Hupse; Maurice Samulski; Michiel Kallenberg; Carla Boetes; Gerard J. den Heeten (Digital Mammography / IWDM, 2008)

Detection of Microcalcifications Using a Nonuniform Noise Model. - Guido van Schie; Nico Karssemeijer (Digital Mammography / IWDM, 2008)

Feature selection for computer-aided detection: comparing different selection criteria. - Rianne Hupse; Nico Karssemeijer (Computer-Aided Diagnosis, 2008)

The effect of training with SFM images in a FFDM CAD system. - Michiel Kallenberg; Nico Karssemeijer (Computer-Aided Diagnosis, 2008)

Matching mammographic regions in mediolateral oblique and cranio caudal views: a probabilistic approach. - Maurice Samulski; Nico Karssemeijer (Computer-Aided Diagnosis, 2008)

Information Processing in Medical Imaging 2007. - Boudewijn P. F. Lelieveldt; Nico Karssemeijer (Medical Image Anal., 2008)

Causal Probabilistic Modelling for Two-View Mammographic Analysis. - Marina Velikova; Maurice Samulski; Peter J. F. Lucas; Nico Karssemeijer (AIME, 2009)

Integrating Biological Knowledge, Novel Imaging Modalities, and Modeling in Breast Cancer Diagnosis. - Nico Karssemeijer; Henkjan J. Huisman; David J. Hawkes; John H. Hipwell; Tobias Böhler; Jan M. Lesniak; Christine Tanner; Gábor Székely; Wiro J. Niessen; Horst K. Hahn (ISBI, 2009)

The use of contextual information for computer aided detection of masses in mammograms. - Rianne Hupse; Nico Karssemeijer (Computer-Aided Diagnosis, 2009)

Using volumetric density estimation in computer aided mass detection in mammography. - Michiel Kallenberg; Nico Karssemeijer (Computer-Aided Diagnosis, 2009)

Noise model for microcalcification detection in reconstructed tomosynthesis slices. - Guido van Schie; Nico Karssemeijer (Computer-Aided Diagnosis, 2009)

Use of Normal Tissue Context in Computer-Aided Detection of Masses in Mammograms. - Rianne Hupse; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2009)

Robust Initial Detection of Landmarks in Film-Screen Mammograms Using Multiple FFDM Atlases. - Juan Eugenio Iglesias; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2009)

Computer aided detection in breast imaging: more than perception AID. - Nico Karssemeijer (ISBI, 2010)

Robust Breast Composition Measurement - VolparaTM. - Ralph Highnam; Michael Brady 001; Martin J. Yaffe; Nico Karssemeijer; Jennifer A. Harvey (Digital Mammography / IWDM, 2010)

Comparison of Tilt Correction Methods in Full Field Digital Mammograms. - Michiel Kallenberg; Nico Karssemeijer (Digital Mammography / IWDM, 2010)

The Effect of Slab Size on Mass Detection Performance of a Screen-Film CAD System in Reconstructed Tomosynthesis Volumes. - Guido van Schie; Karin Leifland; Matthew Wallis; Elin Moa; Magnus Hemmendorff; Nico Karssemeijer (Digital Mammography / IWDM, 2010)

Using Local Context Information to Improve Automatic Mammographic Mass Detection. - Marina Velikova; Peter J. F. Lucas; Nico Karssemeijer (MedInfo, 2010)

Automated classification of lymph nodes in USPIO-enhanced MR-images: a comparison of three segmentation methods. - Oscar A. Debats; Nico Karssemeijer; Jelle O. Barentsz; Henkjan J. Huisman (Computer-Aided Diagnosis, 2010)

Breast MRI intensity non-uniformity correction using mean-shift. - Aliaksei Makarau; Henkjan J. Huisman; Roel Mus; Miranda Zijp; Nico Karssemeijer (Computer-Aided Diagnosis, 2010)

Computer-aided diagnosis with temporal analysis to improve radiologists' interpretation of mammographic mass lesions. - Sheila Timp; Celia Varela; Nico Karssemeijer (IEEE Trans. Inf. Technol. Biomed., 2010)

Multi-class Probabilistic Atlas-Based Segmentation Method in Breast MRI. - Albert Gubern-Mérida; Michiel Kallenberg; Robert Marti; Nico Karssemeijer (IbPRIA, 2011)

Deformation models for registering MR and 3D ultrasound breast images. - Christine Tanner; Nico Karssemeijer; Gábor Székely (ISBI, 2011)

Automatic breast density segmentation based on pixel classification. - Michiel G. J. Kallenberg; Mariëtte A. J. Lokate; Carla H. van Gils; Nico Karssemeijer (Computer-Aided Diagnosis, 2011)

Computer aided detection of breast masses in mammography using support vector machine classification. - Jan M. Lesniak; Rianne Hupse; Michiel Kallenberg; Maurice Samulski; Rémi Blanc; Nico Karssemeijer; Gábor Székely (Computer-Aided Diagnosis, 2011)

Automatic computer aided detection of abnormalities in multi-parametric prostate MRI. - Geert J. S. Litjens; Pieter C. Vos; Jelle O. Barentsz; Nico Karssemeijer; Henkjan J. Huisman (Computer-Aided Diagnosis, 2011)

Estimating corresponding locations in ipsilateral breast tomosynthesis views. - Guido van Schie; Christine Tanner; Nico Karssemeijer (Computer-Aided Diagnosis, 2011)

Classification of breast lesions in automated 3D breast ultrasound. - Tao Tan 002; Henkjan J. Huisman; Bram Platel; André Grivegnée; Roel Mus; Nico Karssemeijer (Computer-Aided Diagnosis, 2011)

An Anatomically Oriented Breast Coordinate System for Mammogram Analysis. - Sami S. Brandt; Gopal Karemore; Nico Karssemeijer; Mads Nielsen (IEEE Trans. Medical Imaging, 2011)

Optimizing Case-Based Detection Performance in a Multiview CAD System for Mammography. - Maurice Samulski; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2011)

Comparison of Lesion Size Using Area and Volume in Full Field Digital Mammograms. - Jelena Bozek; Michiel Kallenberg; Mislav Grgic; Nico Karssemeijer (Digital Mammography / IWDM, 2012)

Multimodal Classification of Breast Masses in Mammography and MRI Using Unimodal Feature Selection and Decision Fusion. - Jan M. Lesniak; Guido van Schie; Christine Tanner; Bram Platel; Henkjan J. Huisman; Nico Karssemeijer; Gábor Székely (Digital Mammography / IWDM, 2012)

Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography. - Jaime Melendez; Clara I. Sánchez; Rianne Hupse; Bram van Ginneken; Nico Karssemeijer (Digital Mammography / IWDM, 2012)

Intensity-Based MRI to X-ray Mammography Registration with an Integrated Fast Biomechanical Transformation. - Thomy Mertzanidou; John H. Hipwell; Lianghao Han; Zeike A. Taylor; Henkjan J. Huisman; Ulrich Bick; Nico Karssemeijer; David J. Hawkes (Digital Mammography / IWDM, 2012)

A Hypothesis-Test Framework for Quantitative Lesion Detection and Diagnosis. - Christopher E. Tromans; Guido van Schie; Nico Karssemeijer; Michael Brady 001 (Digital Mammography / IWDM, 2012)

Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach. - Geert J. S. Litjens; Jelle O. Barentsz; Nico Karssemeijer; Henkjan J. Huisman (Computer-Aided Diagnosis, 2012)

Detection of breast cancer in automated 3D breast ultrasound. - Tao Tan 002; Bram Platel; Roel Mus; Nico Karssemeijer (Computer-Aided Diagnosis, 2012)

Segmentation of the Pectoral Muscle in Breast MRI Using Atlas-Based Approaches. - Albert Gubern-Mérida; Michiel Kallenberg; Robert Marti; Nico Karssemeijer (MICCAI (2), 2012)

A Pattern Recognition Approach to Zonal Segmentation of the Prostate on MRI. - Geert Litjens 001; Oscar Debats; Wendy J. M. van de Ven; Nico Karssemeijer; Henkjan J. Huisman (MICCAI (2), 2012)

MRI to X-ray mammography registration using a volume-preserving affine transformation. - Thomy Mertzanidou; John H. Hipwell; Manuel Jorge Cardoso; Xiying Zhang; Christine Tanner; Sébastien Ourselin; Ulrich Bick; Henkjan J. Huisman; Nico Karssemeijer; David J. Hawkes (Medical Image Anal., 2012)

A probabilistic framework for image information fusion with an application to mammographic analysis. - Marina Velikova; Peter J. F. Lucas; Maurice Samulski; Nico Karssemeijer (Medical Image Anal., 2012)

Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation. - Tao Tan 002; Bram Platel; Henkjan J. Huisman; Clara I. Sánchez; Roel Mus; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2012)

Detection of white matter lesions in cerebral small vessel disease. - Medhat M. Riad; Bram Platel; Frank-Erik de Leeuw; Nico Karssemeijer (Computer-Aided Diagnosis, 2013)

Finding lesion correspondences in different views of automated 3D breast ultrasound. - Tao Tan 002; Bram Platel; Michael Hicks 004; Ritse M. Mann; Nico Karssemeijer (Computer-Aided Diagnosis, 2013)

Surface-based prostate registration with biomechanical regularization. - Wendy J. M. van de Ven; Yipeng Hu; Jelle O. Barentsz; Nico Karssemeijer; Dean C. Barratt; Henkjan J. Huisman (Image-Guided Procedures, 2013)

Breast segmentation in MRI: quantitative evaluation of three methods. - Albert Gubern-Mérida; Lei Wang 025; Michiel Kallenberg; Robert Marti; Horst K. Hahn; Nico Karssemeijer (Image Processing, 2013)

On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks. - Marina Velikova; Peter J. F. Lucas; Maurice Samulski; Nico Karssemeijer (Artif. Intell. Medicine, 2013)

Chest wall segmentation in automated 3D breast ultrasound scans. - Tao Tan 002; Bram Platel; Ritse Mann; Henkjan J. Huisman; Nico Karssemeijer (Medical Image Anal., 2013)

Improved location features for linkage of regions across ipsilateral mammograms. - Christine Tanner; Guido van Schie; Jan M. Lesniak; Nico Karssemeijer; Gábor Székely (Medical Image Anal., 2013)

Generating Synthetic Mammograms From Reconstructed Tomosynthesis Volumes. - Guido van Schie; Ritse Mann; Mechli Imhof-Tas; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2013)

Computer-Aided Detection of Cancer in Automated 3-D Breast Ultrasound. - Tao Tan 002; Bram Platel; Roel Mus; László K. Tabár; Ritse M. Mann; Nico Karssemeijer (IEEE Trans. Medical Imaging, 2013)

Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms. - Katharina Holland; Michiel Kallenberg; Ritse Mann; Carla van Gils; Nico Karssemeijer (Digital Mammography / IWDM, 2014)

Invariant Features for Discriminating Cysts from Solid Lesions in Mammography. - Thijs Kooi; Nico Karssemeijer (Digital Mammography / IWDM, 2014)

Towards Spatial Correspondence between Specimen and In-vivo Breast Imaging. - Thomy Mertzanidou; John H. Hipwell; Mehmet Dalmis; Bram Platel; Jeroen van der Laak; Ritse Mann; Nico Karssemeijer; Peter Bult; David J. Hawkes (Digital Mammography / IWDM, 2014)

Automated Labeling of Screening Mammograms with Arterial Calcifications. - Jan-Jurre Mordang; Jakob L. Hauth; Gerard J. den Heeten; Nico Karssemeijer (Digital Mammography / IWDM, 2014)

Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning. - Kersten Petersen; Mads Nielsen; Pengfei Diao; Nico Karssemeijer; Martin Lillholm (Digital Mammography / IWDM, 2014)

Boosting classification performance in computer aided diagnosis of breast masses in raw full-field digital mammography using processed and screen film images. - Thijs Kooi; Nico Karssemeijer (Computer-Aided Diagnosis, 2014)

Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification. - Tao Tan 002; Jan van Zelst; Wei Zhang; Ritse M. Mann; Bram Platel; Nico Karssemeijer (Computer-Aided Diagnosis, 2014)

Quantitative analysis of stain variability in histology slides and an algorithm for standardization. - Babak Ehteshami Bejnordi; Nadya Timofeeva; Irene Otte-Höller; Nico Karssemeijer; Jeroen A. W. M. van der Laak (Digital Pathology, 2014)

Automatic nipple detection on 3D images of an automated breast ultrasound system (ABUS). - Mandana Javanshir Moghaddam; Tao Tan 002; Nico Karssemeijer; Bram Platel (Image Processing, 2014)

Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications. - Alessandro Bria; Nico Karssemeijer; Francesco Tortorella (Medical Image Anal., 2014)

MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters. - 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 (Medical Image Anal., 2014)

Computer-Aided Detection of Prostate Cancer in MRI. - Geert Litjens 001; Oscar Debats; Jelle O. Barentsz; Nico Karssemeijer; Henkjan J. Huisman (IEEE Trans. Medical Imaging, 2014)

Automated Characterization of Breast Lesions Imaged With an Ultrafast DCE-MR Protocol. - Bram Platel; Roel Mus; Tessa Welte; Nico Karssemeijer; Ritse Mann (IEEE Trans. Medical Imaging, 2014)

Towards Accurate Segmentation of Fibroglandular Tissue in Breast MRI Using Fuzzy C-Means and Skin-Folds Removal. - Mohammad Razavi; Lei Wang 025; Albert Gubern-Mérida; Tatyana Ivanovska; Hendrik Laue; Nico Karssemeijer; Horst K. Hahn (ICIAP (1), 2015)

Small white matter lesion detection in cerebral small vessel disease. - Mohsen Ghafoorian; Nico Karssemeijer; Inge van Uden; Frank-Erik de Leeuw; Tom Heskes; Elena Marchiori; Bram Platel (Computer-Aided Diagnosis, 2015)

Vessel segmentation in screening mammograms. - Jan-Jurre Mordang; Nico Karssemeijer (Computer-Aided Diagnosis, 2015)

A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images. - Babak Ehteshami Bejnordi; Geert Litjens 001; Meyke Hermsen; Nico Karssemeijer; Jeroen A. W. M. van der Laak (Digital Pathology, 2015)

Automated localization of breast cancer in DCE-MRI. - Albert Gubern-Mérida; Robert Marti; Jaime Melendez; Jakob L. Hauth; Ritse M. Mann; Nico Karssemeijer; Bram Platel (Medical Image Anal., 2015)

Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework. - Albert Gubern-Mérida; Michiel Kallenberg; Ritse Mann; Robert Marti; Nico Karssemeijer (IEEE J. Biomed. Health Informatics, 2015)

Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation. - Mohsen Ghafoorian; Nico Karssemeijer; Tom Heskes; I. W. M. van Uden; Frank-Erik de Leeuw; Elena Marchiori; Bram van Ginneken; Bram Platel (ISBI, 2016)

Deep Cascade Classifiers to Detect Clusters of Microcalcifications. - Alessandro Bria; Claudio Marrocco; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (Digital Mammography / IWDM, 2016)

LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms. - Alessandro Bria; Claudio Marrocco; Jan-Jurre Mordang; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (Digital Mammography / IWDM, 2016)

Performance of Breast Cancer Screening Depends on Mammographic Compression. - Katharina Holland; Ioannis Sechopoulos; Gerard J. den Heeten; Ritse M. Mann; Nico Karssemeijer (Digital Mammography / IWDM, 2016)

Learning Density Independent Texture Features. - Michiel Kallenberg; Mads Nielsen; Katharina Holland; Nico Karssemeijer; Christian Igel; Martin Lillholm (Digital Mammography / IWDM, 2016)

A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography. - Thijs Kooi; Albert Gubern-Mérida; Jan-Jurre Mordang; Ritse Mann; Ruud Pijnappel; Klaas Schuur; Ard den Heeten; Nico Karssemeijer (Digital Mammography / IWDM, 2016)

Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology. - 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; et al. (Digital Mammography / IWDM, 2016)

Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks. - Jan-Jurre Mordang; Tim Janssen; Alessandro Bria; Thijs Kooi; Albert Gubern-Mérida; Nico Karssemeijer (Digital Mammography / IWDM, 2016)

A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI. - Mehmet Ufuk Dalmis; Albert Gubern-Mérida; Cristina Borelli; Suzan Vreemann; Ritse M. Mann; Nico Karssemeijer (Computer-Aided Diagnosis, 2016)

Automated linking of suspicious findings between automated 3D breast ultrasound volumes. - Albert Gubern-Mérida; Tao Tan 002; Jan van Zelst; Ritse M. Mann; Nico Karssemeijer (Computer-Aided Diagnosis, 2016)

Quantification of mammographic masking risk with volumetric breast density maps: how to select women for supplemental screening. - Katharina Holland; Carla H. van Gils; Johanna O. P. Wanders; Ritse M. Mann; Nico Karssemeijer (Computer-Aided Diagnosis, 2016)

Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI. - Mohammad Razavi; Lei Wang 025; Tao Tan 002; Nico Karssemeijer; Lars Linsen; Udo Frese; Horst K. Hahn; Gabriel Zachmann (MLMI@MICCAI, 2016)

Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin. - 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 (CoRR, 2016)

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities. - Mohsen Ghafoorian; Nico Karssemeijer; Tom Heskes; Inge van Uden; Clara I. Sánchez; Geert Litjens 001; Frank-Erik de Leeuw; Bram van Ginneken; Elena Marchiori; Bram Platel (CoRR, 2016)

Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images. - Babak Ehteshami Bejnordi; Maschenka Balkenhol; Geert Litjens 001; Roland Holland; Peter Bult; Nico Karssemeijer; Jeroen A. W. M. van der Laak (IEEE Trans. Medical Imaging, 2016)

Stain Specific Standardization of Whole-Slide Histopathological Images. - Babak Ehteshami Bejnordi; Geert Litjens 001; Nadya Timofeeva; Irene Otte-Höller; André Homeyer; Nico Karssemeijer; Jeroen A. W. M. van der Laak (IEEE Trans. Medical Imaging, 2016)

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. - 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 (IEEE Trans. Medical Imaging, 2016)

The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks. - Agnese Marchesi; Alessandro Bria; Claudio Marrocco; Mario Molinara; Jan-Jurre Mordang; Francesco Tortorella; Nico Karssemeijer (CBMS, 2017)

Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. - Alessandro Bria; Claudio Marrocco; Adrian Galdran; Aurélio Campilho; Agnese Marchesi; Jan-Jurre Mordang; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (ICIAP (2), 2017)

Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images. - Babak Ehteshami Bejnordi; Jimmy Lin; Ben Glass; Maeve Mullooly; Gretchen L. Gierach; Mark E. Sherman; Nico Karssemeijer; Jeroen van der Laak; Andrew H. Beck (ISBI, 2017)

Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses. - Thijs Kooi; Nico Karssemeijer (Computer-Aided Diagnosis, 2017)

Conditional random field modelling of interactions between findings in mammography. - Thijs Kooi; Jan-Jurre Mordang; Nico Karssemeijer (Computer-Aided Diagnosis, 2017)

Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. - 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; et al. (MICCAI (3), 2017)

Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images. - Babak Ehteshami Bejnordi; Guido C. A. Zuidhof; Maschenka Balkenhol; Meyke Hermsen; Peter Bult; Bram van Ginneken; Nico Karssemeijer; Geert Litjens 001; Jeroen van der Laak (CoRR, 2017)

Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks. - Thijs Kooi; Nico Karssemeijer (CoRR, 2017)

Large scale deep learning for computer aided detection of mammographic lesions. - Thijs Kooi; Geert Litjens 001; Bram van Ginneken; Albert Gubern-Mérida; Clara I. Sánchez; Ritse Mann; Ard den Heeten; Nico Karssemeijer (Medical Image Anal., 2017)

Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Benedetta Savelli; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella (IWBI, 2018)

Mammogram denoising to improve the calcification detection performance of convolutional nets. - Claudio Marrocco; Alessandro Bria; Valerio Di Sano; Lucas R. Borges; Benedetta Savelli; Mario Molinara; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella (IWBI, 2018)

How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study. - Alejandro Rodríguez-Ruiz; Ruben E. van Engen; Koen Michielsen; Ramona W. Bouwman; Suzan Vreemann; Nico Karssemeijer; Ritse M. Mann; Ioannis Sechopoulos (IWBI, 2018)

Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support? - Alejandro Rodríguez-Ruiz; Jan-Jurre Mordang; Nico Karssemeijer; Ioannis Sechopoulos; Ritse M. Mann (IWBI, 2018)

Pectoral muscle segmentation in breast tomosynthesis with deep learning. - Alejandro Rodríguez-Ruiz; Jonas Teuwen; Kaman Chung; Nico Karssemeijer; Margarita Chevalier; Albert Gubern-Mérida; Ioannis Sechopoulos (Computer-Aided Diagnosis, 2018)

H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection. - David Tellez; Maschenka Balkenhol; Nico Karssemeijer; Geert Litjens 001; Jeroen van der Laak; Francesco Ciompi (Digital Pathology, 2018)

Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR. - Mohsen Ghafoorian; Jonas Teuwen; Rashindra Manniesing; Frank-Erik de Leeuw; Bram van Ginneken; Nico Karssemeijer; Bram Platel (Image Processing, 2018)

Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization. - Alessandro Bria; Claudio Marrocco; Lucas R. Borges; Mario Molinara; Agnese Marchesi; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella (IEEE Trans. Medical Imaging, 2018)

Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. - 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 001; Jeroen van der Laak; et al. (IEEE Trans. Medical Imaging, 2018)

A deep learning method for volumetric breast density estimation from processed full field digital mammograms. - Doiriel Vanegas C.; Mahlet A. Birhanu; Nico Karssemeijer; Albert Gubern-Mérida; Michiel Kallenberg (Computer-Aided Diagnosis, 2019)

New difference of Gaussian channel-sets for the channelized Hotelling observer? - Christiana Balta; Ioannis Sechopoulos; Ramona W. Bouwman; Mireille J. M. Broeders; Nico Karssemeijer; Ruben E. van Engen; Wouter J. H. Veldkamp (Image Perception, Observer Performance, and Technology Assessment, 2019)

Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk. - Andreas D. Lauritzen; My Catarina von Euler-Chelpin; Elsebeth Lynge; Ilse Vejborg; Mads Nielsen; Nico Karssemeijer; Martin Lillholm (CoRR, 2022)

Improving lesion volume measurements on digital mammograms. - Nikita Moriakov; Jim Peters; Ritse Mann; Nico Karssemeijer; Jos van Dijck; Mireille J. M. Broeders; Jonas Teuwen (Medical Image Anal., 2024)