Kees Joost Batenburg

139 papers A 1B 3C 7Journal 102Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction. CoRR Jiayang Shi, Daniël Maria Pelt, Kees Joost Batenburg
2026	J	`jnl`	Efficient Flow Matching for Sparse-View CT Reconstruction. CoRR Jiayang Shi, Lincen Yang, Zhong Li, Tristan van Leeuwen, Daniël Maria Pelt, Kees Joost Batenburg
2025	J	`jnl`	Agentic Large Language Models, a Survey. J. Artif. Intell. Res. Aske Plaat, Max J. van Duijn, Niki van Stein, Mike Preuss, Peter van der Putten, Kees Joost Batenburg
2025	J	`jnl`	Agentic Large Language Models, a survey. CoRR Aske Plaat, Max J. van Duijn, Niki van Stein, Mike Preuss, Peter van der Putten, Kees Joost Batenburg
2025	J	`jnl`	Analysis of Bluffing by DQN and CFR in Leduc Hold'em Poker. CoRR Tarik Zaciragic, Aske Plaat, Kees Joost Batenburg
2025	J	`jnl`	Noise2Ghost: Self-supervised deep convolutional reconstruction for ghost imaging. CoRR Mathieu Manni, Dmitry Karpov, Kees Joost Batenburg, Sharon Shwartz, Nicola Viganò
2024	J	`jnl`	Benchmarking learned algorithms for computed tomography image reconstruction tasks. CoRR Maximilian B. Kiss, Ander Biguri, Zakhar Shumaylov, Ferdia Sherry, Kees Joost Batenburg, Carola-Bibiane Schönlieb, Felix Lucka
2024	—	`conf`	From Feature Maps to Few-Shot Cell Segmentation. MOVI@MICCAI Serban Vadineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg
2024	J	`jnl`	Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction. CoRR Jiayang Shi, Junyi Zhu, Daniël Maria Pelt, Kees Joost Batenburg, Matthew B. Blaschko
2024	J	`jnl`	Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction. Trans. Mach. Learn. Res. Jiayang Shi, Junyi Zhu, Daniël Maria Pelt, Kees Joost Batenburg, Matthew B. Blaschko
2024	J	`jnl`	Learned denoising with simulated and experimental low-dose CT data. CoRR Maximilian B. Kiss, Ander Biguri, Carola-Bibiane Schönlieb, Kees Joost Batenburg, Felix Lucka
2024	J	`jnl`	Reducing Manual Annotation Costs for Cell Segmentation by Upgrading Low-Quality Annotations. J. Imaging Serban Vadineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg
2024	J	`jnl`	SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap. CoRR Jiayang Shi, Daniël Maria Pelt, Kees Joost Batenburg
2024	J	`jnl`	Single-Shot Tomography of Discrete Dynamic Objects. IEEE Trans. Computational Imaging Ajinkya Kadu, Felix Lucka, Kees Joost Batenburg
2023	J	`jnl`	2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning. CoRR Maximilian B. Kiss, Sophia Bethany Coban, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka
2023	J	`jnl`	Benchmarking Optimization Algorithms for Auto-Tuning GPU Kernels. IEEE Trans. Evol. Comput. Richard Arnoud Schoonhoven, Ben van Werkhoven, Kees Joost Batenburg
2023	J	`jnl`	Inside out: Fusing 3D imaging modalities for the internal and external investigation of multi-material museum objects. Digit. Appl. Archaeol. Cult. Heritage Francien G. Bossema, Paul J. C. van Laar, Kimberly Meechan, Daniel O'Flynn, Joanne Dyer, Tristan van Leeuwen, Suzan Meijer, Erma Hermens, Kees Joost Batenburg
2023	J	`jnl`	Multi-stage Deep Learning Artifact Reduction for Computed Tomography. CoRR Jiayang Shi, Daniël Maria Pelt, Kees Joost Batenburg
2023	J	`jnl`	Quantifying the effect of X-ray scattering for data generation in real-time defect detection. CoRR Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg
2023	J	`jnl`	Real-Time Tilt Undersampling Optimization during Electron Tomography of Beam Sensitive Samples using Golden Ratio Scanning and RECAST3D. CoRR Timothy M. Craig, Ajinkya Kadu, Kees Joost Batenburg, Sara Bals
2023	—	`conf`	Reducing Manual Annotation Costs for Cell Segmentation by Upgrading Low-Quality Annotations. MILLanD@MICCAI Serban Vadineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg
2023	—	`conf`	SR4ZCT: Self-supervised Through-Plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap. MLMI@MICCAI (1) Jiayang Shi, Daniël Maria Pelt, Kees Joost Batenburg
2023	J	`jnl`	Single-shot Tomography of Discrete Dynamic Objects. CoRR Ajinkya Kadu, Felix Lucka, Kees Joost Batenburg
2022	J	`jnl`	A tomographic workflow to enable deep learning for X-ray based foreign object detection. CoRR Mathé T. Zeegers, Tristan van Leeuwen, Daniël Maria Pelt, Sophia Bethany Coban, Robert van Liere, Kees Joost Batenburg
2022	J	`jnl`	A tomographic workflow to enable deep learning for X-ray based foreign object detection. Expert Syst. Appl. Mathé T. Zeegers, Tristan van Leeuwen, Daniël Maria Pelt, Sophia Bethany Coban, Robert van Liere, Kees Joost Batenburg
2022	—	`conf`	An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation. MIDL Serban Vadineanu, Daniël Maria Pelt, Oleh Dzyubachyk, Kees Joost Batenburg
2022	J	`jnl`	Benchmarking optimization algorithms for auto-tuning GPU kernels. CoRR Richard Schoonhoven, Ben van Werkhoven, Kees Joost Batenburg
2022	—	`conf`	Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning. PMBS@SC Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, Kees Joost Batenburg
2022	J	`jnl`	Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning. CoRR Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, Kees Joost Batenburg
2022	J	`jnl`	Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications. CoRR Patrick Echtenbruck, Martina Echtenbruck, Kees Joost Batenburg, Thomas Bäck, Boris Naujoks, Michael Emmerich
2022	J	`jnl`	SparseAlign: A Grid-Free Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography. IEEE Trans. Computational Imaging Poulami Somanya Ganguly, Felix Lucka, Holger Kohr, Erik Franken, Hermen Jan Hupkes, Kees Joost Batenburg
2022	J	`jnl`	SparseAlign: A Super-Resolution Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography. CoRR Poulami Somanya Ganguly, Felix Lucka, Holger Kohr, Erik Franken, Hermen Jan Hupkes, Kees Joost Batenburg
2022	J	`jnl`	TOP-CT: Trajectory With Overlapping Projections X-Ray Computed Tomography. IEEE Trans. Computational Imaging Dirk Elias Schut, Kees Joost Batenburg, Robert van Liere, Tristan van Leeuwen
2021	J	`jnl`	3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. Comput. Methods Programs Biomed. Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek
2021	J	`jnl`	ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography. CoRR Mathé T. Zeegers, Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg
2021	J	`jnl`	Comparison of convolutional neural network training strategies for cone-beam CT image segmentation. Comput. Methods Programs Biomed. Jordi Minnema, Jan Wolff, Juha Koivisto, Felix Lucka, Kees Joost Batenburg, Tymour Forouzanfar, Maureen van Eijnatten
2021	J	`jnl`	Improving reproducibility in synchrotron tomography using implementation-adapted filters. CoRR Poulami Somanya Ganguly, Daniël Maria Pelt, Doga Gürsoy, Francesco De Carlo, Kees Joost Batenburg
2021	J	`jnl`	Noise2Filter: fast, self-supervised learning and real-time reconstruction for 3D computed tomography. Mach. Learn. Sci. Technol. Marinus J. Lagerwerf, Allard A. Hendriksen, Jan-Willem Buurlage, Kees Joost Batenburg
2021	J	`jnl`	Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. J. Imaging Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik F. Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten
2021	J	`jnl`	The Study of Three-Dimensional Fingerprint Recognition in Cultural Heritage: Trends and Challenges. ACM Journal on Computing and Cultural Heritage Dzemila Sero, Isabelle Garachon, Erma Hermens, Robert van Liere, Kees Joost Batenburg
2021	J	`jnl`	Unsupervised Foreign Object Detection Based on Dual-Energy Absorptiometry in the Food Industry. J. Imaging Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg
2021	J	`jnl`	Unsupervised foreign object detection based on dual-energy absorptiometry in the food industry. CoRR Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg
2020	J	`jnl`	3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. CoRR Maureen van Eijnatten, Leonardo Rundo, Kees Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek
2020	J	`jnl`	A Computationally Efficient Reconstruction Algorithm for Circular Cone-Beam Computed Tomography Using Shallow Neural Networks. J. Imaging Marinus J. Lagerwerf, Daniël Maria Pelt, Willem Jan Palenstijn, Kees Joost Batenburg
2020	J	`jnl`	A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks. CoRR Marinus J. Lagerwerf, Daniël Maria Pelt, Willem Jan Palenstijn, Kees Joost Batenburg
2020	—	`conf`	A projection-based data partitioning method for distributed tomographic reconstruction. PP Jan-Willem Buurlage, Rob H. Bisseling, Willem Jan Palenstijn, Kees Joost Batenburg
2020	J	`jnl`	An Efficient Interpolation Approach for Exploring the Parameter Space of Regularized Tomography Algorithms. Fundam. Informaticae Marinus J. Lagerwerf, Willem Jan Palenstijn, Folkert Bleichrodt, Kees Joost Batenburg
2020	C	`conf`	Atomic Super-Resolution Tomography. IWCIA Poulami Somanya Ganguly, Felix Lucka, Hermen Jan Hupkes, Kees Joost Batenburg
2020	J	`jnl`	Atomic Super-Resolution Tomography. CoRR Poulami Somanya Ganguly, Felix Lucka, Hermen Jan Hupkes, Kees Joost Batenburg
2020	J	`jnl`	Automated FDK-Filter Selection for Cone-Beam CT in Research Environments. IEEE Trans. Computational Imaging Marinus J. Lagerwerf, Willem Jan Palenstijn, Holger Kohr, Kees Joost Batenburg
2020	J	`jnl`	CoShaRP: A Convex Program for Single-shot Tomographic Shape Sensing. CoRR Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg
2020	J	`jnl`	Deep data compression for approximate ultrasonic image formation. CoRR Georgios Pilikos, Lars Horchens, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka
2020	J	`jnl`	Emulation of X-ray Light-Field Cameras. J. Imaging Nicola Viganò, Felix Lucka, Ombeline de La Rochefoucauld, Sophia Bethany Coban, Robert van Liere, Marta Fajardo, Philippe Zeitoun, Kees Joost Batenburg
2020	J	`jnl`	Explorative Imaging and Its Implementation at the FleX-ray Laboratory. J. Imaging Sophia Bethany Coban, Felix Lucka, Willem Jan Palenstijn, Denis Van Loo, Kees Joost Batenburg
2020	J	`jnl`	Fast ultrasonic imaging using end-to-end deep learning. CoRR Georgios Pilikos, Lars Horchens, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka
2020	J	`jnl`	LEAN: graph-based pruning for convolutional neural networks by extracting longest chains. CoRR Richard Schoonhoven, Allard A. Hendriksen, Daniël Maria Pelt, Kees Joost Batenburg
2020	J	`jnl`	Noise2Inverse: Self-Supervised Deep Convolutional Denoising for Tomography. IEEE Trans. Computational Imaging Allard A. Hendriksen, Daniël Maria Pelt, Kees Joost Batenburg
2020	J	`jnl`	Noise2Inverse: Self-supervised deep convolutional denoising for linear inverse problems in imaging. CoRR Allard A. Hendriksen, Daniël Maria Pelt, Kees Joost Batenburg
2020	J	`jnl`	Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning. CoRR Sophia Bethany Coban, Vladyslav Andriiashen, Poulami Somanya Ganguly, Maureen van Eijnatten, Kees Joost Batenburg
2020	J	`jnl`	Prototyping X-ray tomographic reconstruction pipelines with FleXbox. SoftwareX A. Kostenko, Willem Jan Palenstijn, Sophia Bethany Coban, Allard A. Hendriksen, Robert van Liere, Kees Joost Batenburg
2020	—	`conf`	Real-time segmentation for tomographic imaging. MLSP Richard Schoonhoven, Jan-Willem Buurlage, Daniël Maria Pelt, Kees Joost Batenburg
2020	J	`jnl`	Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning. J. Imaging Mathé T. Zeegers, Daniël Maria Pelt, Tristan van Leeuwen, Robert van Liere, Kees Joost Batenburg
2019	J	`jnl`	A Cone-Beam X-Ray CT Data Collection Designed for Machine Learning. CoRR Henri Der Sarkissian, Felix Lucka, Maureen van Eijnatten, Giulia Colacicco, Sophia Bethany Coban, Kees Joost Batenburg
2019	J	`jnl`	A geometric partitioning method for distributed tomographic reconstruction. Parallel Comput. Jan-Willem Buurlage, Rob H. Bisseling, Kees Joost Batenburg
2018	J	`jnl`	A Data Consistent Variational Segmentation Approach Suitable for Real-time Tomography. Fundam. Informaticae Henri Der Sarkissian, Nicola Viganò, Kees Joost Batenburg
2018	C	`conf`	A Multi-channel DART Algorithm. IWCIA Mathé T. Zeegers, Felix Lucka, Kees Joost Batenburg
2018	J	`jnl`	A Multi-channel DART Algorithm. CoRR Mathé T. Zeegers, Felix Lucka, Kees Joost Batenburg
2018	J	`jnl`	Computational 3D X-ray Imaging for the Food Industry. ERCIM News Kees Joost Batenburg, Robert van Liere
2018	J	`jnl`	Improving Tomographic Reconstruction from Limited Data Using Mixed-Scale Dense Convolutional Neural Networks. J. Imaging Daniël Maria Pelt, Kees Joost Batenburg, James A. Sethian
2017	J	`jnl`	A Novel Tomographic Reconstruction Method Based on the Robust Student's t Function For Suppressing Data Outliers. IEEE Trans. Computational Imaging Daniil Kazantsev, Folkert Bleichrodt, Tristan van Leeuwen, Anders Kaestner, Philip J. Withers, Kees Joost Batenburg, Peter D. Lee
2017	—	`conf`	A Parametric Level-Set Method for Partially Discrete Tomography. DGCI Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg
2017	J	`jnl`	A parametric level-set method for partially discrete tomography. CoRR Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg
2017	J	`jnl`	Computational Imaging - Introduction to the Special Theme. ERCIM News Kees Joost Batenburg, Tamás Szirányi
2017	—	`conf`	High-Level Algorithm Prototyping: An Example Extending the TVR-DART Algorithm. DGCI Axel Ringh, Xiaodong Zhuge, Willem Jan Palenstijn, Kees Joost Batenburg, Ozan Öktem
2016	J	`jnl`	A method for locally approximating regularized iterative tomographic reconstruction methods. CoRR Daniël Maria Pelt, Kees Joost Batenburg
2016	J	`jnl`	An Orientation-space Super Sampling Technique for Six-dimensional Diffraction Contrast Tomography. Fundam. Informaticae Nicola Viganò, Kees Joost Batenburg, Wolfgang Ludwig
2016	J	`jnl`	Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators. Numer. Algorithms Folkert Bleichrodt, Tristan van Leeuwen, Willem Jan Palenstijn, Wim van Aarle, Jan Sijbers, Kees Joost Batenburg
2016	—	`conf`	Mobile Radio Tomography: Agent-Based Imaging. BNCAI Kees Joost Batenburg, Leon S. Helwerda, Walter A. Kosters, Tim van der Meij
2016	J	`jnl`	TVR-DART: A More Robust Algorithm for Discrete Tomography From Limited Projection Data With Automated Gray Value Estimation. IEEE Trans. Image Process. Xiaodong Zhuge, Willem Jan Palenstijn, Kees Joost Batenburg
2015	J	`jnl`	Algebraic filter approach for fast approximation of nonlinear tomographic reconstruction methods. J. Electronic Imaging Linda Plantagie, Kees Joost Batenburg
2015	J	`jnl`	An Iterative CT Reconstruction Algorithm for Fast Fluid Flow Imaging. IEEE Trans. Image Process. Geert Van Eyndhoven, Kees Joost Batenburg, Daniil Kazantsev, Vincent Van Nieuwenhove, Peter D. Lee, Katherine J. Dobson, Jan Sijbers
2015	—	`conf`	Filtered backprojection using algebraic filters; application to biomedical micro-CT data. ISBI Linda Plantagie, Wim van Aarle, Jan Sijbers, Kees Joost Batenburg
2015	J	`jnl`	Quality bounds for binary tomography with arbitrary projection matrices. Discret. Appl. Math. Wagner Fortes, Kees Joost Batenburg
2015	B	`conf`	Region based 4D tomographic image reconstruction: Application to cardiac x-ray CT. ICIP Geert Van Eyndhoven, Kees Joost Batenburg, Jan Sijbers
2014	—	`conf`	Adaptive Grid Refinement for Discrete Tomography. DGCI Tristan van Leeuwen, Kees Joost Batenburg
2014	J	`jnl`	Aligning Projection Images from Binary Volumes. Fundam. Informaticae Folkert Bleichrodt, Jan De Beenhouwer, Jan Sijbers, Kees Joost Batenburg
2014	J	`jnl`	Approximating Algebraic Tomography Methods by Filtered Backprojection: A Local Filter Approach. Fundam. Informaticae Linda Plantagie, Kees Joost Batenburg
2014	J	`jnl`	Improving Filtered Backprojection Reconstruction by Data-Dependent Filtering. IEEE Trans. Image Process. Daniël Maria Pelt, Kees Joost Batenburg
2014	J	`jnl`	Region-Based Iterative Reconstruction of Structurally Changing Objects in CT. IEEE Trans. Image Process. Geert Van Eyndhoven, Kees Joost Batenburg, Jan Sijbers
2014	J	`jnl`	SDART: An algorithm for discrete tomography from noisy projections. Comput. Vis. Image Underst. Folkert Bleichrodt, Frank Tabak, Kees Joost Batenburg
2014	J	`jnl`	Super-Resolution for Computed Tomography Based on Discrete Tomography. IEEE Trans. Image Process. Wim van Aarle, Kees Joost Batenburg, Gert Van Gompel, Elke Van de Casteele, Jan Sijbers
2014	J	`jnl`	The reconstructed residual error: A novel segmentation evaluation measure for reconstructed images in tomography. Comput. Vis. Image Underst. Tom Roelandts, Kees Joost Batenburg, Arnold J. den Dekker, Jan Sijbers
2013	—	`conf`	A Method for Feature Detection in Binary Tomography. DGCI Wagner Fortes, Kees Joost Batenburg
2013	J	`jnl`	Approximate Discrete Reconstruction Algorithm. Fundam. Informaticae Kees Joost Batenburg, Wagner Fortes, Robert Tijdeman
2013	—	`conf`	Automatic Optimization of Alignment Parameters for Tomography Datasets. SCIA Folkert Bleichrodt, Kees Joost Batenburg
2013	J	`jnl`	Bounds on the quality of reconstructed images in binary tomography. Discret. Appl. Math. Kees Joost Batenburg, Wagner Fortes, Lajos Hajdu, Robert Tijdeman
2013	J	`jnl`	Discrete Tomography in MRI: a Simulation Study. Fundam. Informaticae Hilde Segers, Willem Jan Palenstijn, Kees Joost Batenburg, Jan Sijbers
2013	J	`jnl`	Discrete algebraic reconstruction technique: a new approach for superresolution reconstruction of license plates. J. Electronic Imaging Karim Zarei Zefreh, Wim van Aarle, Kees Joost Batenburg, Jan Sijbers
2013	C	`conf`	Discrete representation of local orientation in grains using diffraction contrast tomography. ISPA Nicola Viganò, Wolfgang Ludwig, Kees Joost Batenburg
2013	J	`jnl`	Dynamic angle selection in binary tomography. Comput. Vis. Image Underst. Kees Joost Batenburg, Willem Jan Palenstijn, Péter Balázs, Jan Sijbers
2013	J	`jnl`	Fast Tomographic Reconstruction From Limited Data Using Artificial Neural Networks. IEEE Trans. Image Process. Daniël Maria Pelt, Kees Joost Batenburg
2012	—	`conf`	A Central Reconstruction Based Strategy for Selecting Projection Angles in Binary Tomography. ICIAR (1) Péter Balázs, Kees Joost Batenburg
2012	J	`jnl`	Automatic Parameter Estimation for the Discrete Algebraic Reconstruction Technique (DART). IEEE Trans. Image Process. Wim van Aarle, Kees Joost Batenburg, Jan Sijbers
2012	—	`conf`	Combined Motion Estimation and Reconstruction in Tomography. ECCV Workshops (1) Geert Van Eyndhoven, Jan Sijbers, Kees Joost Batenburg
2012	J	`jnl`	Fast Approximation of Algebraic Reconstruction Methods for Tomography. IEEE Trans. Image Process. Kees Joost Batenburg, Linda Plantagie
2012	J	`jnl`	On the Difficulty of Nonograms. ICGA J. Kees Joost Batenburg, Walter A. Kosters
2011	J	`jnl`	A semi-automatic algorithm for grey level estimation in tomography. Pattern Recognit. Lett. Kees Joost Batenburg, Wim van Aarle, Jan Sijbers
2011	—	`conf`	Bounds on the Difference between Reconstructions in Binary Tomography. DGCI Kees Joost Batenburg, Wagner Fortes, Lajos Hajdu, Robert Tijdeman
2011	J	`jnl`	DART: A Practical Reconstruction Algorithm for Discrete Tomography. IEEE Trans. Image Process. Kees Joost Batenburg, Jan Sijbers
2011	—	`conf`	Error Bounds on the Reconstruction of Binary Images from Low Resolution Scans. CAIP (1) Wagner Fortes, Kees Joost Batenburg
2011	J	`jnl`	Optimal Threshold Selection for Segmentation of Dense Homogeneous Objects in Tomographic Reconstructions. IEEE Trans. Medical Imaging Wim van Aarle, Kees Joost Batenburg, Jan Sijbers
2011	J	`jnl`	Three-Dimensional Reconstruction of a Nanoparticle at Atomic Resolution. ERCIM News Kees Joost Batenburg, Sandra Van Aert
2010	—	`conf`	A discrete tomography approach for superresolution micro-CT images: application to bone. ISBI Gert Van Gompel, Kees Joost Batenburg, Elke Van de Casteele, Wim van Aarle, Jan Sijbers
2010	J	`jnl`	An Algebraic Framework for Discrete Tomography: Revealing the Structure of Dependencies. SIAM J. Discret. Math. Arjen Stolk, Kees Joost Batenburg
2009	J	`jnl`	Adaptive thresholding of tomograms by projection distance minimization. Pattern Recognit. Kees Joost Batenburg, Jan Sijbers
2009	—	`conf`	Experiences with Cell-BE and GPU for Tomography. SAMOS Sander van der Maar, Kees Joost Batenburg, Jan Sijbers
2009	J	`jnl`	Generic iterative subset algorithms for discrete tomography. Discret. Appl. Math. Kees Joost Batenburg, Jan Sijbers
2009	—	`conf`	Grey Level Estimation for Discrete Tomography. DGCI Kees Joost Batenburg, Wim van Aarle, Jan Sijbers
2009	J	`jnl`	Optimal Threshold Selection for Tomogram Segmentation by Projection Distance Minimization. IEEE Trans. Medical Imaging Kees Joost Batenburg, Jan Sijbers
2009	J	`jnl`	Solving Nonograms by combining relaxations. Pattern Recognit. Kees Joost Batenburg, Walter A. Kosters
2008	J	`jnl`	A Network Flow Algorithm for Reconstructing Binary Images from Continuous X-rays. J. Math. Imaging Vis. Kees Joost Batenburg
2008	C	`conf`	A Reasoning Framework for Solving Nonograms. IWCIA Kees Joost Batenburg, Walter A. Kosters
2008	B	`conf`	Fast bias field reduction by localized Lloyd-Max quantization. Image Processing Rudolf Hanel, Kees Joost Batenburg, Steve De Backer, Paul Scheunders, Jan Sijbers
2008	J	`jnl`	In Memoriam Attila Kuba (1953-2006). Theor. Comput. Sci. Kees Joost Batenburg, Antal Nagy, Maurice Nivat
2008	J	`jnl`	Preface. Theor. Comput. Sci. Kees Joost Batenburg, Antal Nagy, Maurice Nivat
2008	—	`conf`	Selection of Local Thresholds for Tomogram Segmentation by Projection Distance Minimization. DGCI Kees Joost Batenburg, Jan Sijbers
2008	—	`conf`	Threshold Selection for Segmentation of Dense Objects in Tomograms. ISVC (1) Wim van Aarle, Kees Joost Batenburg, Jan Sijbers
2007	J	`jnl`	A Network Flow Algorithm for Reconstructing Binary Images from Discrete X-rays. J. Math. Imaging Vis. Kees Joost Batenburg
2007	B	`conf`	Automatic multiple threshold scheme for segmentation of tomograms. Image Processing Kees Joost Batenburg, Jan Sijbers
2007	—	`conf`	Dart: A Fast Heuristic Algebraic Reconstruction Algorithm for Discrete Tomography. ICIP (4) Kees Joost Batenburg, Jan Sijbers
2007	C	`conf`	Optimal Threshold Selection for Tomogram Segmentation by Reprojection of the Reconstructed Image. CAIP Kees Joost Batenburg, Jan Sijbers
2006	A	`conf`	A Learning Classifier Approach to Tomography. ECAI Kees Joost Batenburg
2006	—	`conf`	A Network Flow Algorithm for Binary Image Reconstruction from Few Projections. DGCI Kees Joost Batenburg
2006	C	`conf`	A Neural Network Approach to Real-Time Discrete Tomography. IWCIA Kees Joost Batenburg, Walter A. Kosters
2005	J	`jnl`	A new algorithm for 3D binary tomography. Electron. Notes Discret. Math. Kees Joost Batenburg
2005	J	`jnl`	An evolutionary algorithm for discrete tomography. Discret. Appl. Math. Kees Joost Batenburg
2005	—	`conf`	Neural Networks for Discrete Tomography. BNAIC Kees Joost Batenburg, Walter A. Kosters
2004	C	`conf`	On the Reconstruction of Crystals Through Discrete Tomography. IWCIA Kees Joost Batenburg, Willem Jan Palenstijn
2003	J	`jnl`	Analysis and optimization of an algorithm for discrete tomography. Electron. Notes Discret. Math. Kees Joost Batenburg