Nico Karssemeijer
Orcid: 0000-0002-4153-8021
According to our database1,
Nico Karssemeijer
authored at least 148 papers
between 1990 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2024
Medical Image Anal., 2024
2022
Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk.
CoRR, 2022
2019
Proceedings of the Medical Imaging 2019: Image Perception, 2019
A deep learning method for volumetric breast density estimation from processed full field digital mammograms.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
2018
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, 2018
Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization.
IEEE Trans. Medical Imaging, 2018
Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support?
Proceedings of the 14th International Workshop on Breast Imaging, 2018
How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Mammogram denoising to improve the calcification detection performance of convolutional nets.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
2017
Medical Image Anal., 2017
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks.
CoRR, 2017
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.
CoRR, 2017
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017
The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017
2016
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring.
IEEE Trans. Medical Imaging, 2016
IEEE Trans. Medical Imaging, 2016
IEEE Trans. Medical Imaging, 2016
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.
CoRR, 2016
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin.
CoRR, 2016
Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Quantification of mammographic masking risk with volumetric breast density maps: how to select women for supplemental screening.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Automated linking of suspicious findings between automated 3D breast ultrasound volumes.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks.
Proceedings of the Breast Imaging, 2016
Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology.
Proceedings of the Breast Imaging, 2016
A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography.
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework.
IEEE J. Biomed. Health Informatics, 2015
A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Towards Accurate Segmentation of Fibroglandular Tissue in Breast MRI Using Fuzzy C-Means and Skin-Folds Removal.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
2014
Automated Characterization of Breast Lesions Imaged With an Ultrafast DCE-MR Protocol.
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Medical Imaging, 2014
MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters.
Medical Image Anal., 2014
Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications.
Medical Image Anal., 2014
Automatic nipple detection on 3D images of an automated breast ultrasound system (ABUS).
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Quantitative analysis of stain variability in histology slides and an algorithm for standardization.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
Boosting classification performance in computer aided diagnosis of breast masses in raw full-field digital mammography using processed and screen film images.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
2013
IEEE Trans. Medical Imaging, September, 2013
IEEE Trans. Medical Imaging, 2013
Medical Image Anal., 2013
Medical Image Anal., 2013
On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks.
Artif. Intell. Medicine, 2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation.
IEEE Trans. Medical Imaging, 2012
A probabilistic framework for image information fusion with an application to mammographic analysis.
Medical Image Anal., 2012
MRI to X-ray mammography registration using a volume-preserving affine transformation.
Medical Image Anal., 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
Proceedings of the Breast Imaging, 2012
Intensity-Based MRI to X-ray Mammography Registration with an Integrated Fast Biomechanical Transformation.
Proceedings of the Breast Imaging, 2012
Potential of a Standalone Computer-Aided Detection System for Breast Cancer Detection in Screening Mammography.
Proceedings of the Breast Imaging, 2012
Multimodal Classification of Breast Masses in Mammography and MRI Using Unimodal Feature Selection and Decision Fusion.
Proceedings of the Breast Imaging, 2012
Proceedings of the Breast Imaging, 2012
2011
Optimizing Case-Based Detection Performance in a Multiview CAD System for Mammography.
IEEE Trans. Medical Imaging, 2011
IEEE Trans. Medical Imaging, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Automatic computer aided detection of abnormalities in multi-parametric prostate MRI.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Computer aided detection of breast masses in mammography using support vector machine classification.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011
2010
Computer-aided diagnosis with temporal analysis to improve radiologists' interpretation of mammographic mass lesions.
IEEE Trans. Inf. Technol. Biomed., 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
Automated classification of lymph nodes in USPIO-enhanced MR-images: a comparison of three segmentation methods.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
Proceedings of the MEDINFO 2010, 2010
The Effect of Slab Size on Mass Detection Performance of a Screen-Film CAD System in Reconstructed Tomosynthesis Volumes.
Proceedings of the Digital Mammography, 2010
Proceedings of the Digital Mammography, 2010
Proceedings of the Digital Mammography, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Robust Initial Detection of Landmarks in Film-Screen Mammograms Using Multiple FFDM Atlases.
IEEE Trans. Medical Imaging, 2009
IEEE Trans. Medical Imaging, 2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
The use of contextual information for computer aided detection of masses in mammograms.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
Integrating Biological Knowledge, Novel Imaging Modalities, and Modeling in Breast Cancer Diagnosis.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the Artificial Intelligence in Medicine, 2009
2008
Matching mammographic regions in mediolateral oblique and cranio caudal views: a probabilistic approach.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008
Feature selection for computer-aided detection: comparing different selection criteria.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008
Proceedings of the Digital Mammography, 2008
An Interactive Computer Aided Decision Support System for Detection of Masses in Mammograms.
Proceedings of the Digital Mammography, 2008
Proceedings of the Digital Mammography, 2008
Proceedings of the ECAI 2008, 2008
Proceedings of the Artificial Intelligence: Methodology, 2008
2007
IEEE Trans. Medical Imaging, 2007
Gray-scale and geometric registration of full-field digital and film-screen mammograms.
Medical Image Anal., 2007
Classification of mammographic masses using support vector machines and Bayesian networks.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
Proceedings of the Information Processing in Medical Imaging, 2007
2006
IEEE Trans. Medical Imaging, 2006
Parameter Estimation in Stochastic Mammogram Model by Heuristic Optimization Techniques.
IEEE Trans. Inf. Technol. Biomed., 2006
Medical Image Anal., 2006
Proceedings of the Digital Mammography, 2006
Proceedings of the Digital Mammography, 2006
Exploitation of Correspondence Between CC and MLO Views in Computer Aided Mass Detection.
Proceedings of the Digital Mammography, 2006
2005
Thickness correction of mammographic images by anisotropic filtering and interpolation of dense tissue.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Regrouping initial CAD mass detections to facilitate classification of suspicious regions in mammography.
Proceedings of the Medical Imaging 2005: Image Processing, 2005
Proceedings of the Information Processing in Medical Imaging, 2005
2004
Thickness correction of mammographic images by means of a global parameter model of the compressed breast.
IEEE Trans. Medical Imaging, 2004
Noise equalization for detection of microcalcification clusters in direct digital mammogram images.
IEEE Trans. Medical Imaging, 2004
2003
IEEE Trans. Medical Imaging, 2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Proceedings of the Information Processing in Medical Imaging, 2003
2001
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001
Experiments with radiologists and a fully automated method for characterization of microcalcification clusters.
Proceedings of the CARS 2001. Computer Assisted Radiology and Surgery. Proceedings of the 15th International Congress and Exhibition, 2001
2000
1999
IEEE Trans. Medical Imaging, 1999
Proceedings of the Medical Imaging 1999: Image Processing, 1999
Proceedings of the Medical Imaging 1999: Image Processing, 1999
Local Orientation Distribution as a Function of Spatial Scale for Detection of Masses in Mammograms.
Proceedings of the Information Processing in Medical Imaging, 1999
1998
Improved Correction for Signal Dependent Noise Applied to Automatic Detection of Microcalcifications.
Proceedings of the Digital Mammography, 1998
Proceedings of the Digital Mammography, 1998
Proceedings of the Digital Mammography, 1998
1996
1993
Proceedings of the Information Processing in Medical Imaging, 1993
1992
Image Vis. Comput., 1992
1991
Proceedings of the Information Processing in Medical Imaging, 1991
1990
A relaxation method for image segmentation using a spatially dependent stochastic model.
Pattern Recognit. Lett., 1990
Mach. Vis. Appl., 1990