Jan Sijbers

J Sijbers, A J den Dekker, J. Sijbers, 2014, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Estimation of unknown structure parameters from high-resolution (S)TEM images: what are the limits?

J. Sijbers, A. J. den Dekker, S. Van Aert, 2013, Ultramicroscopy.

Likelihood-Based Hypothesis Tests for Brain Activation Detection From MRI Data Disturbed by Colored Noise: A Simulation Study

Jan Sijbers, Arnold Jan den Dekker, Dirk H. J. Poot, 2009, IEEE Transactions on Medical Imaging.

Implications of the Rician distribution for fMRI generalized likelihood ratio tests.

Jan Sijbers, Arnold J den Dekker, J. Sijbers, 2005, Magnetic resonance imaging.

Detection of brain activation from magnitude fMRI data using a Generalized Likelihood Ratio Test

Jan Sijbers, Arnold Jan den Dekker, A. J. D. Dekker, 2004, 2004 12th European Signal Processing Conference.

Enhanced contrast in X‐ray microtomographic images of the membranous labyrinth using different X‐ray sources and scanning modes

J. Sijbers, L. Mancini, J. Goyens, 2018, Journal of anatomy.

Reduction of ring artefacts in high resolution micro-CT reconstructions.

Jan Sijbers, Andrei Postnov, A. Postnov, 2004, Physics in medicine and biology.

Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone induced demyelination and spontaneous remyelination

J. Sijbers, M. Verhoye, J. Van Audekerke, 2016, NeuroImage.

Use of support vector machines approach via ComBat harmonized diffusion tensor imaging for the diagnosis and prognosis of mild traumatic brain injury: a CENTER-TBI study.

B. Glocker, P. Guns, A. Håberg, 2023, Journal of neurotrauma.

Design smart clothing using digital human models

Jan Sijbers, Femke Danckaers, Giuseppe Andreoni, 2019, DHM and Posturography.

The effect of template selection on diffusion tensor voxel-based analysis results

Jan Sijbers, Jelle Veraart, Wim Van Hecke, 2011, NeuroImage.

Small medial femoral condyle morphotype is associated with medial compartment degeneration and distinct morphological characteristics: a comparative pilot study

Brian G. Booth, P. Verdonk, A. van Haver, 2020, Knee Surgery, Sports Traumatology, Arthroscopy.

Principal component analysis as a tool for determining optimal tibial baseplate geometry in modern TKA design.

S. Huijs, J. Bellemans, N. Arnout, 2019, Acta orthopaedica Belgica.

Posture normalisation of 3D body scans

Jan Sijbers, Steven Truijen, Toon Huysmans, 2019, Ergonomics.

An Articulating Statistical Shape Model of the Human Hand

Jan Sijbers, Brian G. Booth, Toon Huysmans, 2018, Advances in Intelligent Systems and Computing.

Brain Tissue-Volume Changes in Cosmonauts.

Steven Laureys, I. Kozlovskaya, P. Parizel, 2018, The New England journal of medicine.

Cortical reorganization in an astronaut’s brain after long-duration spaceflight

Steven Laureys, I. Kozlovskaya, P. Parizel, 2015, Brain Structure and Function.

On parameter estimation in the physics lab based on inverting a slope regression coefficient

J. Sijbers, W. Jacquet, E. Nyssen, 2012, 1203.2022.

Pore REconstruction and Segmentation (PORES) method for improved porosity quantification of nanoporous materials.

G Van Eyndhoven, M Kurttepeli, C J Van Oers, 2015, Ultramicroscopy.

3D Imaging of Nanomaterials by Discrete Tomography

S Bals, K J Batenburg, J Sijbers, 2006, Microscopy and Microanalysis.

Quantitative Three-Dimensional Reconstruction of Catalyst Particles for Bamboo-like Carbon Nanotubes

Jan Sijbers, K. Joost Batenburg, Sara Bals, 2007 .

Quantitative 3D analysis of huge nanoparticle assemblies† †Electronic supplementary information (ESI) available.CCDC 1417516–1417520 contain the supplementary crystallographic data for this paper. For ESI and crystallographic data in CIF or other electronic format see DOI: 10.1039/c5nr06962a Click h

Jan Sijbers, Willem Jan Palenstijn, Gustaaf Van Tendeloo, 2015, Nanoscale.

Aortic root sizing for transcatheter aortic valve implantation using a shape model parameterisation

Jos Vander Sloten, Jan Sijbers, Toon Huysmans, 2019, Medical & Biological Engineering & Computing.

Changes during pentetrazol-induced epilepsy in rat recorded by simultaneous EEG/MRI at 7T

Jan Sijbers, Marleen Verhoye, Anne-Marie Van der Linden, 2000, Medical Imaging.

Can portable tomosynthesis improve the diagnostic value of bedside chest X-ray in the intensive care unit? A proof of concept study

P. Parizel, J. Sijbers, A. Snoeckx, 2017, European Radiology Experimental.

Neural network Hilbert transform based filtered backprojection for fast inline x-ray inspection

Luc Van Hoorebeke, Jan Sijbers, Pieter Verboven, 2018 .

Inline discrete tomography system: Application to agricultural product inspection

George D. C. Cavalcanti, Jan Sijbers, Pieter Verboven, 2017, Comput. Electron. Agric..

In-line NDT with X-Ray CT combining sample rotation and translation

Manuel Dierick, Jan Sijbers, Pieter Verboven, 2016 .

Fast inline inspection by Neural Network Based Filtered Backprojection: Application to apple inspection

Jan Sijbers, Bart Nicolai, Pieter Verboven, 2016 .

StatSTEM: An efficient approach for accurate and precise model-based quantification of atomic resolution electron microscopy images.

J Sijbers, W Van den Broek, S Van Aert, 2016, Ultramicroscopy.

An assessment of the information lost when applying data reduction techniques to dynamic plantar pressure measurements.

Brian G. Booth, J. Sijbers, N. Keijsers, 2019, Journal of biomechanics.

Extraction of Airways From CT (EXACT'09)

Eric A. Hoffman, Marleen de Bruijne, Rafael Wiemker, 2012, IEEE Transactions on Medical Imaging.

Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators

Kees Joost Batenburg, Jan Sijbers, Willem Jan Palenstijn, 2016, Numerical Algorithms.

A Unified Maximum Likelihood Framework for Simultaneous Motion and $T_{1}$ Estimation in Quantitative MR $T_{1}$ Mapping

Jan Sijbers, Ben Jeurissen, Marleen Verhoye, 2017, IEEE Transactions on Medical Imaging.

High quality statistical shape modelling of the human nasal cavity and applications

J. Sijbers, A. Zarowski, J. Dirckx, 2018, Royal Society Open Science.

Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology

Mark E. Schmidt, D. Smeets, J. Sijbers, 2018, Alzheimer's Research & Therapy.

NOVIFAST: A Fast Algorithm for Accurate and Precise VFA MRI ${T}_{1}$ Mapping

Jan Sijbers, Raúl San José Estépar, Marcus Björk, 2018, IEEE Transactions on Medical Imaging.

Iterative Reconstruction Methods in X-ray CT

Jan Sijbers, Geert Van Eyndhoven, J. Sijbers, 2017 .

An energy-based beam hardening model in tomography.

J. Sijbers, D. Van dyck, E. Raman, 2002, Physics in medicine and biology.

Fast and flexible X-ray tomography using the ASTRA toolbox.

Jan Sijbers, Willem Jan Palenstijn, Jan De Beenhouwer, 2016, Optics express.

L1 knockout mice show dilated ventricles, vermis hypoplasia and impaired exploration patterns.

J Sijbers, G Van Camp, E Fransen, 1998, Human molecular genetics.

TomoBank: a tomographic data repository for computational x-ray science

Jan Sijbers, Francesco De Carlo, Mark L. Rivers, 2018 .

Bias Field Correction for MRI Images

Jan Sijbers, Jaber Juntu, Dirk Van Dyck, 2005, CORES.

Nuclear and Plasma Sciences

Alejandro F Frangi, Russell H. Taylor, Otto von Guericke, 2015 .

Ultrasonics, Ferroelectrics, and Frequency Control

Nico Karssemeijer, Milan Sonka, Moshe Kam, 2011 .

Adaptable digital human models from 3D body scans

Jan Sijbers, Femke Danckaers, Toon Huysmans, 2019, DHM and Posturography.

Unsupervised Retinal Vessel Segmentation Using Combined Filters

George D. C. Cavalcanti, Jan Sijbers, Ing Ren Tsang, 2016, PloS one.

MoVIT: a tomographic reconstruction framework for 4D-CT.

Jelle Vlassenbroeck, Jan Sijbers, Jan De Beenhouwer, 2017, Optics express.

Registration Based SIRT : A reconstruction algorithm for 4 D CT

J. Sijbers, J. Vlassenbroeck, M. Moesen, 2016 .

Adaptive zooming in X-ray computed tomography.

Kees Joost Batenburg, Jan Sijbers, Andrei Dabravolski, 2014, Journal of X-ray science and technology.

Iterative correction of beam hardening artifacts in CT.

M. Defrise, J. Nuyts, J. Sijbers, 2011, Medical Physics (Lancaster).

A diffusion tensor imaging group study of the spinal cord in multiple sclerosis patients with and without T2 spinal cord lesions

P. Parizel, A. Leemans, J. Sijbers, 2009, Journal of magnetic resonance imaging : JMRI.

A Diffusion Tensor Imaging Group Study of the Spinal Cord in Multiple Sclerosis Patients With and Without T 2 Spinal Cord Lesions

P. Parizel, A. Leemans, G. Nagels, 2022 .

Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning

Jan Sijbers, Pieter Verboven, Tim Van De Looverbosch, 2021, Expert Syst. Appl..

Supporting measurements or more averages? How to quantify cerebral blood flow most reliably in 5 minutes by arterial spin labeling

J. Sijbers, A. J. den Dekker, E. Achten, 2020, Magnetic resonance in medicine.

To recurse or not to recurse: a low-dose CT study

Jan Sijbers, Shabab Bazrafkan, Jan De Beenhouwer, 2019, Prog. Artif. Intell..

Iterative bilateral filter for Rician noise reduction in MR images

Jan Sijbers, Jeny Rajan, Madhu S. Nair, 2015, Signal Image Video Process..

Deep learning-based 2D/3D registration of an atlas to biplanar X-ray images

Guoyan Zheng, E. Audenaert, Jeroen van Houtte, 2022, International Journal of Computer Assisted Radiology and Surgery.

Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning

Jan Sijbers, Pieter Verboven, Bart Nicolai, 2020 .

CNN-based Deblurring of Terahertz Images

Jan Sijbers, Shabab Bazrafkan, Marina Ljubenovic, 2020, VISIGRAPP.

Fast Fourier-Based Phase Unwrapping on the Graphics Processing Unit in Real-Time Imaging Applications

Jan Sijbers, Sam Van der Jeught, Joris J. J. Dirckx, 2015, J. Imaging.

Intrinsic functional connectivity reduces after first-time exposure to short-term gravitational alterations induced by parabolic flight

Jan Sijbers, Ben Jeurissen, Athena Demertzi, 2017, Scientific Reports.

Product sizing with 3D anthropometry and k-medoids clustering

Jan Sijbers, Marc M. Van Hulle, Guido De Bruyne, 2017, Comput. Aided Des..

A Combined Statistical Shape Model of the Scalp and Skull of the Human Head

Jan Sijbers, Guido De Bruyne, Stijn Verwulgen, 2017, AHFE.

Ergonomic design of an EEG headset using 3D anthropometry.

Jan Sijbers, Stijn Verwulgen, Marc M Van Hulle, 2017, Applied ergonomics.

Correspondence Preserving Elastic Surface Registration with Shape Model Prior

Jan Sijbers, Stijn Verwulgen, Toon Huysmans, 2014, 2014 22nd International Conference on Pattern Recognition.

2D/3D Registration with a Statistical Deformation Model Prior Using Deep Learning

Guoyan Zheng, Jan Sijbers, Jeroen Van Houtte, 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).

The reconstructed residual error: A novel segmentation evaluation measure for reconstructed images in tomography

Kees Joost Batenburg, Jan Sijbers, Arnold Jan den Dekker, 2014, Comput. Vis. Image Underst..

A three-dimensional digital neurological atlas of the mustached bat (Pteronotus parnellii)

Jan Sijbers, Ben Jeurissen, Annemarie van der Linden, 2018, NeuroImage.

Detecting and locating light atoms from high-resolution STEM images: The quest for a single optimal design.

J. Sijbers, S. Van Aert, A. De Backer, 2016, Ultramicroscopy.

Signal and noise estimation from magnetic resonance images

J. Sijbers, Jan Sijbers, 1998 .

Estimation of the noise in magnitude MR images.

J Sijbers, M Verhoye, D Van Dyck, 1998, Magnetic resonance imaging.

D-BRAIN: Anatomically Accurate Simulated Diffusion MRI Brain Data

Aleksandra Pizurica, Wilfried Philips, Jan Sijbers, 2016, PloS one.

Fiber tracking on the 'Fiber Cup Phantom' using constrained spherical deconvolution

J. Tournier, B. Jeurissen, A. Leemans, 2009 .

Parameter estimation from magnitude MR images

Jan Sijbers, Arnold Jan den Dekker, Dirk Van Dyck, 1999, Int. J. Imaging Syst. Technol..

EquiSim: An Open-Source Articulatable Statistical Model of the Equine Distal Limb

J. Sijbers, G. Zheng, T. Huysmans, 2021, Frontiers in Veterinary Science.

Diffusion tensor imaging of the anterior cruciate ligament following primary repair with internal bracing: A longitudinal study

J. Sijbers, A. Ribbens, M. Froeling, 2020 .

FROM HIGH RESOLUTION IMAGE TO ATOMIC STRUCTURE: HOW FAR ARE WE?

J. Sijbers, A. J. D. Dekker, A. Bos, 2003 .

A segmentation and classification algorithm for online detection of internal disorders in citrus using X-ray radiographs

Jan Sijbers, Paul J.R. Cronje, Bart Nicolai, 2016 .

Data-Driven Affine Deformation Estimation and Correction in Cone Beam Computed Tomography

Jan Sijbers, Jan De Beenhouwer, Thomas De Schryver, 2017, IEEE Transactions on Image Processing.

Estimating the number of fiber orientations in diffusion MRI voxels : a constrained spherical deconvolution study

Derek K. Jones, J. Tournier, B. Jeurissen, 2010 .

Limbic and Callosal White Matter Changes in Euthymic Bipolar I Disorder: An Advanced Diffusion Magnetic Resonance Imaging Tractography Study

Jan Sijbers, Wim Van Hecke, Ben Jeurissen, 2013, Biological Psychiatry.

A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems

Wim Vanroose, Pieter Ghysels, Jan Sijbers, 2013, J. Comput. Appl. Math..

Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysis.

Rainer Goebel, Jan Sijbers, Paul Scheunders, 2007, Magnetic resonance imaging.

Diffusion Tensor Images Upsampling: A Registration-Based Approach

Jan Sijbers, Annemarie van der Linden, Marleen Verhoye, 2009, 2009 13th International Machine Vision and Image Processing Conference.

Multiscale watershed segmentation of multivalued images

Jan Sijbers, Paul Scheunders, P. Scheunders, 2002, Object recognition supported by user interaction for service robots.

Multiscale anisotropic filtering of color images

Jan Sijbers, Paul Scheunders, P. Scheunders, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Using particle systems for mitral valve segmentation from 3D transoesophageal echocardiography (3D TOE) - a proof of concept

R. Wirix-Speetjens, J. Vander Sloten, J. Bosmans, 2022, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Optimal estimation of T2 maps from magnitude MR images

Jan Sijbers, Marleen Verhoye, Arnold Jan den Dekker, 1998, Medical Imaging.

A Likelihood Ratio Test for Functional MRI Data Analysis to Account for Colored Noise

Jan Sijbers, Arnold Jan den Dekker, Robert Bos, 2005, ACIVS.

Brain activation detection from functional magnetic resonance imaging data using likelihood based hypothesis tests

R. Bos, A. D. Dekker, Jan Sijbers, 2002 .

Intrinsic functional connectivity reduces after first-time exposure to short-term gravitational alterations induced by parabolic flight

Steven Laureys, P. Parizel, B. Jeurissen, 2017, Scientific Reports.

Prolonged microgravity induces reversible and persistent changes on human cerebral connectivity

P. Parizel, B. Jeurissen, S. Sunaert, 2023, Communications Biology.

Automatic estimation of the noise variance from the histogram of a magnetic resonance image

J. Sijbers, D. Poot, A. J. den Dekker, 2007, Physics in medicine and biology.

Maximum likelihood estimation of signal amplitude and noise variance from MR data

J. Sijbers, A. J. den Dekker, A. D. den Dekker, 2004, Magnetic resonance in medicine.

FleXCT: a flexible X-ray CT scanner with 10 degrees of freedom.

Jonathan Sanctorum, Tim Elberfeld, J. D. Beenhouwer, 2020, Optics express.

An Iterative CT Reconstruction Algorithm for Fast Fluid Flow Imaging

Kees Joost Batenburg, Jan Sijbers, Peter D. Lee, 2015, IEEE Transactions on Image Processing.

Geometry Calibration of a Modular Stereo Cone-Beam X-ray CT System

Jan Sijbers, Jan De Beenhouwer, Sam Van Wassenbergh, 2021, J. Imaging.

Aligning Projection Images from Binary Volumes

Kees Joost Batenburg, Jan Sijbers, Jan De Beenhouwer, 2014, Fundam. Informaticae.

Evaluation of prominence of straight plates and precontoured clavicle plates using automated plate-to-bone alignment.

J Sijbers, J. Sijbers, L. D. De Wilde, 2014, Acta orthopaedica Belgica.

Parameterization of Tubular Surfaces on the Cylinder Toon Huysmans

J. Sijbers, B. Verdonk, Jan Sijbers, 2013 .

A distributed ASTRA toolbox

Jan Sijbers, Willem Jan Palenstijn, Jeroen Bédorf, 2016, Advanced Structural and Chemical Imaging.

A Comparative Study Between Three Measurement Methods to Predict 3D Body Dimensions Using Shape Modelling

J. Sijbers, S. Verwulgen, F. Danckaers, 2019, AHFE.

Adaptive thresholding of tomograms by projection distance minimization

Kees Joost Batenburg, Jan Sijbers, K. Batenburg, 2009, Pattern Recognit..

Reduction of ring artifacts in high resolution micro-CT images

J. Sijbers, A. Postnov, A. Postnov, 2004 .

Diffusion tensor imaging in a rat model of Parkinson's disease after lesioning of the nigrostriatal tract

A. Leemans, J. Sijbers, M. Verhoye, 2009, NMR in biomedicine.

Systematic review of reconstruction techniques for accelerated quantitative MRI

D. Poot, S. Klein, A. D. den Dekker, 2023, Magnetic resonance in medicine.

Nonlocal maximum likelihood estimation method for denoising multiple-coil magnetic resonance images.

J. Sijbers, J. Veraart, M. Verhoye, 2012, Magnetic resonance imaging.

Optimized workflow for diffusion kurtosis imaging of newborns

Jan Sijbers, Dirk H. J. Poot, Maryna Kudzinava, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Diffusion kurtosis imaging to detect amyloidosis in an APP/PS1 mouse model for Alzheimer's disease

J. Sijbers, G. Vanhoutte, S. Pereson, 2013, Magnetic resonance in medicine.

Integration of TomoPy and the ASTRA toolbox for advanced processing and reconstruction of tomographic synchrotron data

Kees Joost Batenburg, Jan Sijbers, Willem Jan Palenstijn, 2016, Journal of synchrotron radiation.

Region and Contour Identification of Physical Objects

Jan Sijbers, Brigitte Verdonk, Annie Cuyt, 2004 .

Joint Deblurring and Denoising of THz Time-Domain Images

Jan Sijbers, Jan De Beenhouwer, Lina Zhuang, 2021, IEEE Access.

CNN-Based Deblurring of THz Time-Domain Images

S. Bazrafkan, Marina Ljubenović, P. Paramonov, 2020, VISIGRAPP.

CAD-Based Scatter Compensation For Polychromatic Reconstruction Of Additive Manufactured Parts

Jan Sijbers, Jan De Beenhouwer, Domenico Iuso, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

MRI as a tool to study brain structure from mouse models for mental retardation

Jan Sijbers, Marleen Verhoye, Peter Willems, 1998, Medical Imaging.

Exploring sex differences in the adult zebra finch brain: In vivo diffusion tensor imaging and ex vivo super-resolution track density imaging

Jan Sijbers, Ben Jeurissen, Annemarie van der Linden, 2017, NeuroImage.

Building 3D Statistical Shape Models of Horticultural Products

J. Sijbers, P. Verboven, B. Nicolaï, 2017, Food and Bioprocess Technology.

Morphologic and functional changes in the unilateral 6-hydroxydopamine lesion rat model for Parkinson’s disease discerned with μSPECT and quantitative MRI

Zeger Debyser, Jan Sijbers, Marleen Verhoye, 2010, Magnetic Resonance Materials in Physics, Biology and Medicine.

Altered functional brain connectivity in patients with visually induced dizziness

Steven Laureys, P. Parizel, B. Jeurissen, 2017, NeuroImage: Clinical.

A tracking‐based diffusion tensor imaging segmentation method for the detection of diffusion‐related changes of the cervical spinal cord with aging

P. Parizel, A. Leemans, J. Sijbers, 2008, Journal of magnetic resonance imaging : JMRI.

Accelerating in vivo fast spin echo high angular resolution diffusion imaging with an isotropic resolution in mice through compressed sensing

D. Cremers, V. Golkov, A. Pižurica, 2020, Magnetic resonance in medicine.

Optimal experimental design and estimation for q‐space trajectory imaging

B. Jeurissen, F. Szczepankiewicz, Floris Vanhevel, 2022, Human brain mapping.

Optimal Experimental Design for Diffusion Kurtosis Imaging

Eric Achten, Jan Sijbers, Marleen Verhoye, 2010, IEEE Transactions on Medical Imaging.

A discrete tomography approach for superresolution micro-CT images: application to bone

Kees Joost Batenburg, Jan Sijbers, Wim van Aarle, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Dart: A Fast Heuristic Algebraic Reconstruction Algorithm for Discrete Tomography

Kees Joost Batenburg, Jan Sijbers, K. Batenburg, 2007, 2007 IEEE International Conference on Image Processing.

Deep Neural Network Assisted Iterative Reconstruction Method for Low Dose CT

Jan Sijbers, Shabab Bazrafkan, Jan De Beenhouwer, 2019, 1906.00650.

The anatomy of the clavicle

J. Sijbers, J. Gielen, T. Huysmans, 2014, Clinical anatomy.

Maximum likelihood estimation-based denoising of magnetic resonance images using restricted local neighborhoods

B. Jeurissen, J. Sijbers, M. Verhoye, 2011, Physics in medicine and biology.

A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps

Jan Sijbers, Jeny Rajan, P. V. Sudeep, 2017, Signal Image Video Process..

A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps

Jeny Rajan, C. Kesavadas, P. Palanisamy, 2016, Signal, Image and Video Processing.

A new non-local maximum likelihood estimation method for Rician noise reduction in magnetic resonance images using the Kolmogorov-Smirnov test

Jan Sijbers, Jeny Rajan, Arnold Jan den Dekker, 2014, Signal Process..

Iterative bilateral filter for Rician noise reduction in MR images

M. S. Nair, J. Sijbers, Jeny Rajan, 2014, Signal, Image and Video Processing.

A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images

Jan Sijbers, Jaber Juntu, Jeny Rajan, 2013, PReMI.

An adaptive non local maximum likelihood estimation method for denoising magnetic resonance images

Jan Sijbers, Annemarie van der Linden, Marleen Verhoye, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Noise measurement from magnitude MRI using local estimates of variance and skewness

Jan Sijbers, Jaber Juntu, Jeny Rajan, 2010, Physics in medicine and biology.

Adaptive anisotropic noise filtering for magnitude MR data

Jan Sijbers, Annemarie van der Linden, Marleen Verhoye, 1999, Medical Imaging.

The effect of nasal shape on the thermal conditioning of inhaled air: Using clinical tomographic data to build a large-scale statistical shape model

Jan Sijbers, Toon Huysmans, William Keustermans, 2020, Comput. Biol. Medicine.

Matlab® toolbox for semi-automatic segmentation of the human nasal cavity based on active shape modeling

Jan Sijbers, Toon Huysmans, William Keustermans, 2019, Comput. Biol. Medicine.

Neuroanatomy of the fragile X knockout mouse brain studied using in vivo high resolution magnetic resonance imaging

Jan Sijbers, Marleen Verhoye, Edwin Reyniers, 1999, European Journal of Human Genetics.

Assessment of Anterior Cruciate Ligament Graft Maturity With Conventional Magnetic Resonance Imaging: A Systematic Literature Review

J. Sijbers, T. Janssens, P. Van Dyck, 2019, Orthopaedic journal of sports medicine.

Cortical reorganization in an astronaut’s brain after long-duration spaceflight

Enrico Amico, Jan Sijbers, Ben Jeurissen, 2016, Brain structure & function.

Unveiling water dynamics in fuel cells from time-resolved tomographic microscopy data

Jan Sijbers, Federica Marone, Jens Eller, 2020, Scientific Reports.

Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks

J. D. Beenhouwer, S. Chatterjee, Domenico Iuso, 2023, ArXiv.

A memory efficient method for fully three-dimensional object reconstruction with HAADF STEM.

J Sijbers, W Van den Broek, D Van Dyck, 2014, Ultramicroscopy.

The costs and benefits of estimating T 1 of tissue alongside cerebral blood flow and arterial transit time in pseudo‐continuous arterial spin labeling

J. Sijbers, A. J. den Dekker, E. Achten, 2019, NMR in biomedicine.

The costs and benefits of estimating T1 of tissue alongside cerebral blood flow and arterial transit time in pseudo‐continuous arterial spin labeling

J. Sijbers, A. J. D. Dekker, E. Achten, 2020 .

X-ray phase contrast simulation for grating-based interferometry using GATE.

Jan Sijbers, Jan De Beenhouwer, Jonathan Sanctorum, 2020, Optics express.

Generalized likelihood ratio tests for complex fMRI data: a Simulation study

Jan Sijbers, Arnold Jan den Dekker, A. J. D. Dekker, 2005, IEEE Transactions on Medical Imaging.

Diffusion tensor imaging of the anterior cruciate ligament graft

Jan Sijbers, Ben Jeurissen, Martijn Froeling, 2017, Journal of magnetic resonance imaging : JMRI.

A model-based correction method for beam hardening artefacts in X-ray microtomography

J. Sijbers, E. Raman, D. Dyck, 2003 .

Local attenuation curve optimization framework for high quality perfusion maps in low-dose cerebral perfusion CT.

Jan Sijbers, K Joost Batenburg, Jan De Beenhouwer, 2016, Medical physics.

Fast and accurate pose estimation of additive manufactured objects from few X-ray projections

A. Presenti, J. D. Beenhouwer, Zhihua Liang, 2022, Expert systems with applications.

Modeling blurring effects due to continuous gantry rotation: Application to region of interest tomography.

Jan Sijbers, Willem Jan Palenstijn, Jeroen Cant, 2015, Medical physics.

DART: A Practical Reconstruction Algorithm for Discrete Tomography

Kees Joost Batenburg, Jan Sijbers, K. Batenburg, 2011, IEEE Transactions on Image Processing.

Fiber Orientation Estimation from X-ray Dark Field Images of Fiber Reinforced Polymers Using Constrained Spherical Deconvolution

Jonathan G. Sanctorum, B. Jeurissen, J. De Beenhouwer, 2023, Polymers.

cuPARE: parametric reconstruction of curved fibres from glass fibre-reinforced composites

J. De Beenhouwer, C. Heinzl, B. Fröhler, 2022, Nondestructive Testing and Evaluation.

Simulated grating-based x-ray phase contrast images of CFRP-like objects

Jonathan G. Sanctorum, C. Heinzl, J. Kastner, 2019, e-Journal of Nondestructive Testing.

The effect of beam hardening on resolution in x-ray microtomography

Jan Sijbers, Dirk Van Dyck, Elke Van de Casteele, 2004, SPIE Medical Imaging.

Monte-Carlo-Based Estimation of the X-ray Energy Spectrum for CT Artifact Reduction

Ehsan Nazemi, J. D. Beenhouwer, B. Samber, 2021, Applied Sciences.

Dynamic few-view X-ray imaging for inspection of CAD-based objects

Jan Sijbers, Jan De Beenhouwer, Alice Presenti, 2021, Expert Syst. Appl..

Combination of shape and X-ray inspection for apple internal quality control: in silico analysis of the methodology based on X-ray computed tomography

P. Verboven, J. Sijbers, P. Verboven, 2019, Postharvest Biology and Technology.

Region-Based Iterative Reconstruction of Structurally Changing Objects in CT

Kees Joost Batenburg, Jan Sijbers, Geert Van Eyndhoven, 2014, IEEE Transactions on Image Processing.

Probability of detection applied to X-ray inspection using numerical simulations

J. Sijbers, J. De Beenhouwer, C. Gusenbauer, 2022, Nondestructive Testing and Evaluation.

Force Feedback to Assist Active Contour Modelling for Tracheal Stenosis Segmentation

Karin Coninx, Jan Sijbers, Romulo Pinho, 2012, Adv. Hum. Comput. Interact..

Robust edge-directed interpolation of magnetic resonance images

Jan Sijbers, Marleen Verhoye, Jeny Rajan, 2011, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI).

Automatic anomaly detection from X-ray images based on autoencoders

J. De Beenhouwer, A. Presenti, L. F. Alves Pereira, 2022, Nondestructive Testing and Evaluation.

poly-DART: A discrete algebraic reconstruction technique for polychromatic X-ray CT.

Jan Sijbers, Jan De Beenhouwer, Nathanaël Six, 2019, Optics express.

An efficient CAD projector for X-ray projection based 3 D inspection with the ASTRA Toolbox

Jan Sijbers, Jan De Beenhouwer, Árpád Marinovszki, 2018 .

Watershed-based segmentation of 3D MR data for volume quantization.

J Sijbers, M Verhoye, P Scheunders, 1997, Magnetic resonance imaging.

3D morphometric analysis of the human incudomallear complex using clinical cone-beam CT

J. Soons, J. Dirckx, J. Casselman, 2016, Hearing Research.

Recurrent Inference Machines as inverse problem solvers for MR relaxometry

A. J. den Dekker, J. Sijbers, D. H. J. Poot, 2021, Medical Image Anal..

Automatic Parameter Estimation for the Discrete Algebraic Reconstruction Technique (DART)

Kees Joost Batenburg, Jan Sijbers, Wim van Aarle, 2012, IEEE Transactions on Image Processing.

A semi-automatic algorithm for grey level estimation in tomography

Kees Joost Batenburg, Jan Sijbers, Wim van Aarle, 2011, Pattern Recognit. Lett..

Grey Level Estimation for Discrete Tomography

Kees Joost Batenburg, Jan Sijbers, Wim van Aarle, 2009, DGCI.

Generic iterative subset algorithms for discrete tomography

Kees Joost Batenburg, Jan Sijbers, K. Batenburg, 2009, Discret. Appl. Math..

Selection of Local Thresholds for Tomogram Segmentation by Projection Distance Minimization

Kees Joost Batenburg, Jan Sijbers, K. Batenburg, 2008, DGCI.

Normalized averaged range (nAR), a robust quantification method for MPIO-content.

J. Sijbers, M. Verhoye, A. Van der Linden, 2019, Journal of magnetic resonance.

Classification of soft tissue tumors in MRI images using kernel PCA and regularized least square classifier

D. Dyck, Jaber Juntu, Jan Sijbers, 2007 .

Delta-MRI: Direct Deformation Estimation from Longitudinally Acquired K-Space Data

M. Verhoye, A. J. D. Dekker, J. D. Beenhouwer, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

Accurate segmentation of dense nanoparticles by partially discrete electron tomography.

S Bals, K J Batenburg, J Sijbers, 2012, Ultramicroscopy.

A Generalized Bidiagonal-Tikhonov Method Applied To Differential Phase Contrast Tomography

J. Sijbers, Wim Vanroose, Nick Schenkels, 2015, 1510.03233.

Functional magnetic resonance imaging in zebra finch discerns the neural substrate involved in segregation of conspecific song from background noise.

J. Sijbers, M. Verhoye, A. Van der Linden, 2008, Journal of neurophysiology.

Noiseof Conspecific Song From Background Finch Discerns the Neural Substrate Involved in Functional Magnetic Resonance Imaging in Zebra

N. Mathevon, C. Vignal, J. Audekerke, 2015 .

Functional magnetic resonance imaging in zebra finch discerns the neural substrate involved in segregation of conspecific song from background noise. Abbreviated title fMRI in songbirds exposed to degraded song stimuli Authors and author addresses

M. Verhoye, A. Linden, N. Mathevon, 2007 .

Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping

B. Jeurissen, M. Verhoye, D. Poot, 2022, Comput. Medical Imaging Graph..

To shift or to rotate? Comparison of acquisition strategies for multi-slice super-resolution magnetic resonance imaging

B. Jeurissen, J. Sijbers, D. Poot, 2022, Frontiers in Neuroscience.

Joint Maximum Likelihood Estimation of Motion and T1 Parameters from Magnetic Resonance Images in a Super-resolution Framework: a Simulation Study

Jan Sijbers, Ben Jeurissen, Marleen Verhoye, 2020, Fundam. Informaticae.

Super‐resolution T1 estimation: Quantitative high resolution T1 mapping from a set of low resolution T1‐weighted images with different slice orientations

Jan Sijbers, Ben Jeurissen, Arnold J den Dekker, 2017, Magnetic resonance in medicine.

General and Efficient Super-Resolution Method for Multi-slice MRI

Jan Sijbers, Dirk H. J. Poot, V. Van Meir, 2010, MICCAI.

3D total variation denoising in X-CT imaging applied to pore extraction in additively manufactured parts

H Han Haitjema, J. De Beenhouwer, A. Witvrouw, 2021, Measurement Science and Technology.

Adjoint image warping using multivariate splines with application to four‐dimensional computed tomography

J. De Beenhouwer, Jan Sijbers, Jens Renders, 2021, Medical physics.

Adjoint image warping using multivariate splines with 1 application to 4 DCT 2 Adjoint image warping in 4 DCT

J. D. Beenhouwer, Jan Sijbers, Jens Renders, 2021 .

Neutron radiography and tomography applied to fuel degradation during ramp tests and loss of coolant accident tests in a research reactor

M. Verwerft, J. D. Beenhouwer, Jan Sijbers, 2014 .

Iterative correction of beam hardening artifacts in CT.

K J Batenburg, J Sijbers, J Nuyts, 2011, Medical physics.

Super-Resolution Magnetic Resonance Imaging of the Knee Using 2-Dimensional Turbo Spin Echo Imaging

B. Jeurissen, J. Sijbers, E. Roelant, 2020, Investigative radiology.

Automatic landmark detection and mapping for 2D/3D registration with BoneNet

J. Sijbers, J. De Beenhouwer, L. F. Alves Pereira, 2022, Frontiers in Veterinary Science.

The Gated Recurrent Conditional Generative Adversarial Network (GRC-GAN): application to denoising of low-dose CT images

George D. C. Cavalcanti, Jan Sijbers, Ing Ren Tsang, 2021, 2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI).

A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science

Jan Sijbers, Hans-Christian Hege, Christoph Heinzl, 2019, Comput. Graph. Forum.

Quantitative diffusion tensor imaging in amyotrophic lateral sclerosis: Revisited

G. Marchal, P. Parizel, A. Leemans, 2009, Human brain mapping.

Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution

J. Tournier, B. Jeurissen, A. Leemans, 2011, Human brain mapping.

Constrained spherical deconvolution of nonspherically sampled diffusion MRI data

B. Jeurissen, J. Sijbers, Floris Vanhevel, 2020, Human brain mapping.

The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography.

W. J. Palenstijn, T. Altantzis, J. De Beenhouwer, 2015, Ultramicroscopy.

To recurse or not to recurse: a low-dose CT study

S. Bazrafkan, J. De Beenhouwer, J. Soons, 2021, Progress in Artificial Intelligence.

A Deep Learning Approach to Horse Bone Segmentation from Digitally Reconstructed Radiographs

Guoyan Zheng, Jan Sijbers, Jeroen Van Houtte, 2019, 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations

M. Reiter, C. Heinzl, J. Kastner, 2023, e-Journal of Nondestructive Testing.

EFFICIENT APPROACHES TO INTRATHORACIC AIRWAY TREE SEGMENTATIONS

Jan Sijbers, Romulo Pinho, W. Vos, 2006 .

Signal and Noise Maximum Likelihood Estimation in MRI

J. Sijbers, Jan Sijbers, 2012 .

Robust estimation of the noise variance from background MR data

Jan Sijbers, Annemarie van der Linden, Marleen Verhoye, 2006, SPIE Medical Imaging.

Estimation of Signal and Noise Parameters from MR Data

J. Sijbers, A. J. D. Dekker, Jan Sijbers, 2005 .

ESTIMATION OF THE NOISE VARIANCE FROM THE BACKGROUND HISTOGRAM MODE OF AN MR IMAGE

J. Sijbers, D. Poot, A. J. D. Dekker, 2006 .

Estimation of unknown structure parameters from high-resolution (S)TEM images: what are the limits?

S. Van Aert, A. De Backer, J. Gonnissen, 2013, Ultramicroscopy.

3D morphometric analysis of the human incudomallear complex using clinical cone-beam CT

J. Soons, J. Dirckx, J. Casselman, 2016, Hearing Research.

Restoration of MR-induced artifacts in simultaneously recorded MR/EEG data.

J Sijbers, M Verhoye, A Van der Linden, 1999, Magnetic resonance imaging.

Multisensor X-ray inspection of internal defects in horticultural products

Jan Sijbers, Bart Nicolai, Pieter Verboven, 2017 .

Discrete algebraic reconstruction technique: a new approach for superresolution reconstruction of license plates

Kees Joost Batenburg, Jan Sijbers, Wim van Aarle, 2013, J. Electronic Imaging.

Super-Resolution of License Plate Images using Algebraic Reconstruction Technique

Kees Joost Batenburg, Jan Sijbers, K. Zarei Zefreh, 2013 .

The effect of template selection on diffusion tensor voxel-based analysis results

P. Parizel, A. Leemans, J. Veraart, 2011, NeuroImage.

Automatic localization of EEG electrode markers within 3D MR data.

J Sijbers, M Verhoye, A Van der Linden, 2000, Magnetic resonance imaging.

Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft‐tissue tumors in T1‐MRI images

D. Van dyck, Jeny Rajan, S. de Backer, 2010, Journal of magnetic resonance imaging : JMRI.

Optimal Threshold Selection for Segmentation of Dense Homogeneous Objects in Tomographic Reconstructions

Kees Joost Batenburg, Jan Sijbers, Wim van Aarle, 2011, IEEE Transactions on Medical Imaging.

Special designed RF-antenna with integrated non-invasive carbon electrodes for simultaneous magnetic resonance imaging and electroencephalography acquisition at 7T.

J Sijbers, M Verhoye, A Van der Linden, 2000, Magnetic resonance imaging.

peer-reviewed author-version of: Evaluation of deeply supervised neural networks for 3D pore segmentation in additive manufacturing

J. De Beenhouwer, S. Cornelissen, S. Chatterjee, 2022 .

Subcortical volumetric changes across the adult lifespan: Subregional thalamic atrophy accounts for age-related sensorimotor performance declines

S. Swinnen, I. Leunissen, L. Serbruyns, 2015, Cortex.

A Machine Learning Approach to Growth Direction Finding for Automated Planting of Bulbous Plants

Jan Sijbers, Jan De Beenhouwer, Brian G. Booth, 2020, Scientific Reports.

Automated mitral valve assessment for transcatheter mitral valve replacement planning

R. Wirix-Speetjens, J. Vander Sloten, J. Bosmans, 2022, Frontiers in Bioengineering and Biotechnology.

The Deep Steerable Convolutional Framelet Network for Suppressing Directional Artifacts in X-ray Tomosynthesis

J. De Beenhouwer, L. F. Alves Pereira, Jan Sijbers, 2023, 2023 31st European Signal Processing Conference (EUSIPCO).

Imprecise k-space sampling and central brightening

R. Hanel, P. Scheunders, S. D. Backer, 2006, cond-mat/0610040.

Electronic Reprint Applied Crystallography Dart: a Robust Algorithm for Fast Reconstruction of Three-dimensional Grain Maps Applied Crystallography Dart: a Robust Algorithm for Fast Reconstruction of Three-dimensional Grain Maps

Kees Joost Batenburg, Henning Friis Poulsen, Erik Knudsen, 2022 .

The ASTRA Tomography Toolbox

Jan Sijbers, Willem Jan Palenstijn, K. Joost Batenburg, 2013 .

Noise measurement from magnitude MRI using local estimates of variance and skewness

D. Poot, Jeny Rajan, Jaber Juntu, 2010, Physics in Medicine and Biology.

A maximum likelihood estimation method for denoising magnitude MRI using restricted local neighborhood

Jan Sijbers, Marleen Verhoye, Jeny Rajan, 2011, Medical Imaging.

Diffusion tensor imaging of the anterior cruciate ligament graft following reconstruction: a longitudinal study

J. Sijbers, M. Froeling, E. Roelant, 2020, European Radiology.

Automated Virtual Reduction of Displaced Distal Radius Fractures

A. van Haver, F. Danckaers, M. Vanhees, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

Sparse-View Medical Tomosynthesis via Mixed Scale Dense Convolutional Framelet Networks

J. De Beenhouwer, L. F. Alves Pereira, Jan Sijbers, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

Simultaneous motion correction and T1 estimation in quantitative T1 mapping: An ML restoration approach

Jan Sijbers, Marleen Verhoye, Gabriel Ramos-Llordén, 2015, International Conference on Information Photonics.

Spatiotemporal properties of the BOLD response in the songbirds' auditory circuit during a variety of listening tasks

Jan Sijbers, Paul Scheunders, Annemarie van der Linden, 2005, NeuroImage.