Kees Joost Batenburg
Orcid: 0000-0002-3154-8576Affiliations:
- Centrum Wiskunde & Informatica (CWI), Amsterdam, The Netherland
According to our database1,
Kees Joost Batenburg
authored at least 115 papers
between 2003 and 2023.
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Bibliography
2023
IEEE Trans. Evol. Comput., 2023
2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning.
CoRR, 2023
Quantifying the effect of X-ray scattering for data generation in real-time defect detection.
CoRR, 2023
Real-Time Tilt Undersampling Optimization during Electron Tomography of Beam Sensitive Samples using Golden Ratio Scanning and RECAST3D.
CoRR, 2023
SR4ZCT: Self-supervised Through-Plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Reducing Manual Annotation Costs for Cell Segmentation by Upgrading Low-Quality Annotations.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
2022
IEEE Trans. Computational Imaging, 2022
SparseAlign: A Grid-Free Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography.
IEEE Trans. Computational Imaging, 2022
A tomographic workflow to enable deep learning for X-ray based foreign object detection.
Expert Syst. Appl., 2022
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications.
CoRR, 2022
SparseAlign: A Super-Resolution Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography.
CoRR, 2022
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning.
Proceedings of the IEEE/ACM International Workshop on Performance Modeling, 2022
An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
2021
Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D computed tomography.
Mach. Learn. Sci. Technol., 2021
The Study of Three-Dimensional Fingerprint Recognition in Cultural Heritage: Trends and Challenges.
ACM Journal on Computing and Cultural Heritage, 2021
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.
J. Imaging, 2021
Unsupervised Foreign Object Detection Based on Dual-Energy Absorptiometry in the Food Industry.
J. Imaging, 2021
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography.
CoRR, 2021
Improving reproducibility in synchrotron tomography using implementation-adapted filters.
CoRR, 2021
Comparison of convolutional neural network training strategies for cone-beam CT image segmentation.
Comput. Methods Programs Biomed., 2021
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning.
Comput. Methods Programs Biomed., 2021
2020
IEEE Trans. Computational Imaging, 2020
IEEE Trans. Computational Imaging, 2020
Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning.
J. Imaging, 2020
A Computationally Efficient Reconstruction Algorithm for Circular Cone-Beam Computed Tomography Using Shallow Neural Networks.
J. Imaging, 2020
J. Imaging, 2020
An Efficient Interpolation Approach for Exploring the Parameter Space of Regularized Tomography Algorithms.
Fundam. Informaticae, 2020
Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning.
CoRR, 2020
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains.
CoRR, 2020
Noise2Inverse: Self-supervised deep convolutional denoising for linear inverse problems in imaging.
CoRR, 2020
A projection-based data partitioning method for distributed tomographic reconstruction.
Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, 2020
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Proceedings of the Combinatorial Image Analysis - 20th International Workshop, 2020
2019
Parallel Comput., 2019
2018
Improving Tomographic Reconstruction from Limited Data Using Mixed-Scale Dense Convolutional Neural Networks.
J. Imaging, 2018
A Data Consistent Variational Segmentation Approach Suitable for Real-time Tomography.
Fundam. Informaticae, 2018
Proceedings of the Combinatorial Image Analysis - 19th International Workshop, 2018
2017
A Novel Tomographic Reconstruction Method Based on the Robust Student's t Function For Suppressing Data Outliers.
IEEE Trans. Computational Imaging, 2017
Proceedings of the Discrete Geometry for Computer Imagery, 2017
Proceedings of the Discrete Geometry for Computer Imagery, 2017
2016
TVR-DART: A More Robust Algorithm for Discrete Tomography From Limited Projection Data With Automated Gray Value Estimation.
IEEE Trans. Image Process., 2016
Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators.
Numer. Algorithms, 2016
An Orientation-space Super Sampling Technique for Six-dimensional Diffraction Contrast Tomography.
Fundam. Informaticae, 2016
A method for locally approximating regularized iterative tomographic reconstruction methods.
CoRR, 2016
Proceedings of the BNAIC 2016: Artificial Intelligence, 2016
2015
IEEE Trans. Image Process., 2015
Algebraic filter approach for fast approximation of nonlinear tomographic reconstruction methods.
J. Electronic Imaging, 2015
Discret. Appl. Math., 2015
Filtered backprojection using algebraic filters; application to biomedical micro-CT data.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
2014
IEEE Trans. Image Process., 2014
IEEE Trans. Image Process., 2014
IEEE Trans. Image Process., 2014
Approximating Algebraic Tomography Methods by Filtered Backprojection: A Local Filter Approach.
Fundam. Informaticae, 2014
The reconstructed residual error: A novel segmentation evaluation measure for reconstructed images in tomography.
Comput. Vis. Image Underst., 2014
Comput. Vis. Image Underst., 2014
Proceedings of the Discrete Geometry for Computer Imagery, 2014
2013
IEEE Trans. Image Process., 2013
Discrete algebraic reconstruction technique: a new approach for superresolution reconstruction of license plates.
J. Electronic Imaging, 2013
Discret. Appl. Math., 2013
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013
Discrete representation of local orientation in grains using diffraction contrast tomography.
Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 2013
Proceedings of the Discrete Geometry for Computer Imagery, 2013
2012
IEEE Trans. Image Process., 2012
Automatic Parameter Estimation for the Discrete Algebraic Reconstruction Technique (DART).
IEEE Trans. Image Process., 2012
A Central Reconstruction Based Strategy for Selecting Projection Angles in Binary Tomography.
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012
2011
Optimal Threshold Selection for Segmentation of Dense Homogeneous Objects in Tomographic Reconstructions.
IEEE Trans. Medical Imaging, 2011
IEEE Trans. Image Process., 2011
Pattern Recognit. Lett., 2011
ERCIM News, 2011
Proceedings of the Discrete Geometry for Computer Imagery, 2011
Proceedings of the Computer Analysis of Images and Patterns, 2011
2010
An Algebraic Framework for Discrete Tomography: Revealing the Structure of Dependencies.
SIAM J. Discret. Math., 2010
A discrete tomography approach for superresolution micro-CT images: application to bone.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Optimal Threshold Selection for Tomogram Segmentation by Projection Distance Minimization.
IEEE Trans. Medical Imaging, 2009
Pattern Recognit., 2009
Discret. Appl. Math., 2009
Proceedings of the Embedded Computer Systems: Architectures, 2009
Proceedings of the Discrete Geometry for Computer Imagery, 2009
2008
J. Math. Imaging Vis., 2008
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Proceedings of the Combinatorial Image Analysis, 12th International Workshop, 2008
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008
Selection of Local Thresholds for Tomogram Segmentation by Projection Distance Minimization.
Proceedings of the Discrete Geometry for Computer Imagery, 2008
2007
J. Math. Imaging Vis., 2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Proceedings of the International Conference on Image Processing, 2007
Optimal Threshold Selection for Tomogram Segmentation by Reprojection of the Reconstructed Image.
Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007
2006
Proceedings of the Combinatorial Image Analysis, 11th International Workshop, 2006
A Learning Classifier Approach to Tomography.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006
Proceedings of the Discrete Geometry for Computer Imagery, 13th International Conference, 2006
2005
Neural Networks for Discrete Tomography.
Proceedings of the BNAIC 2005, 2005
2004
Proceedings of the Combinatorial Image Analysis, 10th InternationalWorkshop, 2004
2003
Electron. Notes Discret. Math., 2003