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2020 – today
- 2024
[j82]Domenico Iuso
, Soumick Chatterjee, Sven Cornelissen, Dries Verhees, Jan De Beenhouwer, Jan Sijbers:
Voxel-wise segmentation for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks. Appl. Intell. 54(24): 13160-13177 (2024)- [j81]Jonas Grammens, Annemieke Van Haver, Imelda Lumban-Gaol, Femke Danckaers, Peter Verdonk, Jan Sijbers:
Automated Landmark Annotation for Morphometric Analysis of Distal Femur and Proximal Tibia. J. Imaging 10(4): 90 (2024) - [j80]Quinten Beirinckx, Piet Bladt, Merlijn C. E. van der Plas, Matthias J. P. van Osch, Ben Jeurissen, Arnold J. den Dekker, Jan Sijbers:
Model-based super-resolution reconstruction for pseudo-continuous Arterial Spin Labeling. NeuroImage 286: 120506 (2024) - [c94]Jana Osstyn, Femke Danckaers, A. Verstreken, Annemieke Van Haver, Matthias Vanhees, Jan Sijbers:
Statistical Shape Model Guided Virtual Reduction of Displaced Distal Radius Fractures. ISBI 2024: 1-5 - [c93]N. Halat, Domenico Iuso, Jan Sijbers, Jan De Beenhouwer:
KBNet-Based Noise Suppression in Edge Illumination X-ray Phase Contrast Imaging. RTSI 2024: 351-356 - [i4]Anh-Tuan Nguyen, Jens Renders, Domenico Iuso, Yves Maris, Jeroen Soete, Martine Wevers, Jan Sijbers, Jan De Beenhouwer:
MIRT: a simultaneous reconstruction and affine motion compensation technique for four dimensional computed tomography (4DCT). CoRR abs/2402.04480 (2024) - 2023
- [j79]Patricia Lopes, Paul Van Herck, Eefje Verhoelst, Roel Wirix-Speetjens, Jan Sijbers, Johan Bosmans, Jos Vander Sloten:
Using particle systems for mitral valve segmentation from 3D transoesophageal echocardiography (3D TOE) - a proof of concept. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(1): 112-120 (2023) - [j78]Alice Presenti, Zhihua Liang, Luis Filipe Alves Pereira, Jan Sijbers, Jan De Beenhouwer:
Fast and accurate pose estimation of additive manufactured objects from few X-ray projections. Expert Syst. Appl. 213(Part): 118866 (2023) - [j77]Jens Renders, Ben Jeurissen, Anh-Tuan Nguyen, Jan De Beenhouwer, Jan Sijbers:
ImWIP: Open-source image warping toolbox with adjoints and derivatives. SoftwareX 24: 101524 (2023) - [j76]Daniel Frenkel, Nathanaël Six, Jan De Beenhouwer, Jan Sijbers:
Tabu-DART: a dynamic update strategy for efficient discrete algebraic reconstruction. Vis. Comput. 39(10): 4671-4683 (2023) - [c92]Nicholas Francken, Joaquim G. Sanctorum, Jens Renders, Pavel Paramonov, Jan Sijbers, Jan De Beenhouwer:
A Condensed History Approach to X-Ray Dark Field Effects in Edge Illumination Phase Contrast Simulations. EMBC 2023: 1-4 - [c91]Diana L. Giraldo, Quinten Beirinckx, Arnold J. den Dekker, Ben Jeurissen, Jan Sijbers:
Super-Resolution Reconstruction of Multi-Slice T2-W FLAIR MRI Improves Multiple Sclerosis Lesion Segmentation. EMBC 2023: 1-4 - [c90]Nicholas Francken, Pavel Paramonov, Jan Sijbers, Jan De Beenhouwer:
Enhancing Industrial Inspection with Efficient Edge Illumination X-Ray Phase Contrast Simulations. EUROCON 2023: 723-727 - [c89]Luis Filipe Alves Pereira, Jan De Beenhouwer, Jan Sijbers:
The Deep Steerable Convolutional Framelet Network for Suppressing Directional Artifacts in X-ray Tomosynthesis. EUSIPCO 2023: 880-884 - [c88]Anh-Tuan Nguyen, Jens Renders, Jan Sijbers, Jan De Beenhouwer:
Region-Based Motion-Compensated Iterative Reconstruction Technique for Dynamic Computed Tomography. ISBI 2023: 1-4 - [c87]Jana Osstyn, Femke Danckaers, Annemieke Van Haver, José Oramas, Matthias Vanhees, Jan Sijbers:
Automated Virtual Reduction of Displaced Distal Radius Fractures. ISBI 2023: 1-4 - [c86]Luis Filipe Alves Pereira, Jan De Beenhouwer, Jan Sijbers:
Sparse-View Medical Tomosynthesis via Mixed Scale Dense Convolutional Framelet Networks. ISBI 2023: 1-5 - [c85]Jens Renders, Banafshe Shafieizargar, Marleen Verhoye, Jan De Beenhouwer, Arnold J. den Dekker, Jan Sijbers:
Delta-MRI: Direct Deformation Estimation from Longitudinally Acquired K-Space Data. ISBI 2023: 1-4 - [i3]Domenico Iuso, Soumick Chatterjee, Jan De Beenhouwer, Jan Sijbers:
Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks. CoRR abs/2305.07894 (2023) - 2022
- [j75]Jeroen Van Houtte, Emmanuel Albert Audenaert, Guoyan Zheng, Jan Sijbers:
Deep learning-based 2D/3D registration of an atlas to biplanar X-ray images. Int. J. Comput. Assist. Radiol. Surg. 17(7): 1333-1342 (2022) - [j74]Tim Van De Looverbosch, Jiaqi He, Astrid Tempelaere, Klaas Kelchtermans, Pieter Verboven, Tinne Tuytelaars, Jan Sijbers, Bart M. Nicolaï:
Inline nondestructive internal disorder detection in pear fruit using explainable deep anomaly detection on X-ray images. Comput. Electron. Agric. 197: 106962 (2022) - [j73]Quinten Beirinckx, Ben Jeurissen, Michele Nicastro, Dirk H. J. Poot, Marleen Verhoye, Arnold J. den Dekker, Jan Sijbers:
Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping. Comput. Medical Imaging Graph. 100: 102071 (2022) - [j72]Vincenzo Anania, Quinten Collier, Jelle Veraart, Annemieke E. Buikema, Floris Vanhevel, Thibo Billiet, Ben Jeurissen, Arnold J. den Dekker, Jan Sijbers:
Improved diffusion parameter estimation by incorporating T2 relaxation properties into the DKI-FWE model. NeuroImage 256: 119219 (2022) - 2021
- [j71]Marina Ljubenovic, Lina Zhuang, Jan De Beenhouwer, Jan Sijbers:
Joint Deblurring and Denoising of THz Time-Domain Images. IEEE Access 9: 162-176 (2021) - [j70]Tim Van De Looverbosch, Ellen Raeymaekers, Pieter Verboven, Jan Sijbers, Bart M. Nicolaï:
Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning. Expert Syst. Appl. 176: 114925 (2021) - [j69]Alice Presenti, Jan Sijbers, Jan De Beenhouwer:
Dynamic few-view X-ray imaging for inspection of CAD-based objects. Expert Syst. Appl. 180: 115012 (2021) - [j68]Brian G. Booth, Jan Sijbers, Noël L. W. Keijsers:
Outlier Detection for Foot Complaint Diagnosis: Modeling Confounding Factors Using Metric Learning. IEEE Intell. Syst. 36(3): 41-49 (2021) - [j67]Van Nguyen, Joaquim G. Sanctorum, Sam Van Wassenbergh, Joris J. J. Dirckx, Jan Sijbers, Jan De Beenhouwer:
Geometry Calibration of a Modular Stereo Cone-Beam X-ray CT System. J. Imaging 7(3): 54 (2021) - [j66]Emanoel R. Sabidussi, Stefan Klein, Matthan W. A. Caan, Shabab Bazrafkan, Arnold J. den Dekker, Jan Sijbers, Wiro J. Niessen, Dirk H. J. Poot:
Recurrent inference machines as inverse problem solvers for MR relaxometry. Medical Image Anal. 74: 102220 (2021) - [j65]Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C. Alexander, Markus Nilsson, Martijn Froeling, Geert Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernández, Evren Özarslan, Derek K. Jones, Haoze Chen, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan C. Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sánchez, Vesna Prchkovska, Paulo Rodrigues, Bennett A. Landman, Kurt G. Schilling:
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage 240: 118367 (2021) - [j64]Shabab Bazrafkan, Vincent Van Nieuwenhove, Joris Soons, Jan De Beenhouwer, Jan Sijbers:
To recurse or not to recurse: a low-dose CT study. Prog. Artif. Intell. 10(1): 65-81 (2021) - [j63]Nathanaël Six, Jens Renders, Jan Sijbers, Jan De Beenhouwer:
Gauss-Newton-Krylov for Reconstruction of Polychromatic X-Ray CT Images. IEEE Trans. Computational Imaging 7: 1304-1313 (2021) - [c84]Jens Renders, Jan De Beenhouwer, Jan Sijbers:
Mesh-Based Reconstruction of Dynamic Foam Images Using X-Ray CT. 3DV 2021: 1312-1320 - [c83]Jeroen Van Houtte, Xiaoru Gao, Jan Sijbers, Guoyan Zheng:
2D/3D Registration with a Statistical Deformation Model Prior Using Deep Learning. BHI 2021: 1-4 - [c82]Banafshe Shafieizargar, Ben Jeurissen, Dirk H. J. Poot, Arnold J. den Dekker, Jan Sijbers:
Multi-contrast multi-shot EPI for accelerated diffusion MRI. EMBC 2021: 3869-3872 - [c81]Domenico Iuso, Ehsan Nazemi, Nathanaël Six, Björn De Samber, Jan De Beenhouwer, Jan Sijbers:
CAD-Based Scatter Compensation For Polychromatic Reconstruction Of Additive Manufactured Parts. ICIP 2021: 2948-2952 - [c80]Jonathan G. Sanctorum, Jan Sijbers, Jan De Beenhouwer:
Dark Field Sensitivity In Single Mask Edge Illumination Lung Imaging. ISBI 2021: 775-778 - [c79]Ben Huyge, Jonathan G. Sanctorum, Nathanaël Six, Jan De Beenhouwer, Jan Sijbers:
Analysis Of Flat Fields In Edge Illumination Phase Contrast Imaging. ISBI 2021: 1310-1313 - [c78]Femke Danckaers, Jeroen Van Houtte, Brian G. Booth, Frederik Verstreken, Jan Sijbers:
Statistical Shape and Pose Model of the Forearm for Custom Splint Design. ISBI 2021: 1669-1672 - [c77]Alice Presenti, Zhihua Liang, Luis Filipe Alves Pereira, Jan Sijbers, Jan De Beenhouwer:
CNN-based Pose Estimation of Manufactured Objects During Inline X-ray Inspection. RTSI 2021: 388-393 - [c76]Mateus Baltazar de Almeida, Luis Filipe Alves Pereira, Tsang Ing Ren, George D. C. Cavalcanti, Jan Sijbers:
The Gated Recurrent Conditional Generative Adversarial Network (GRC-GAN): application to denoising of low-dose CT images. SIBGRAPI 2021: 129-135 - [i2]Emanoel R. Sabidussi, Stefan Klein, Matthan W. A. Caan, Shabab Bazrafkan, Arnold J. den Dekker, Jan Sijbers, Wiro J. Niessen, Dirk H. J. Poot:
Recurrent Inference Machines as inverse problem solvers for MR relaxometry. CoRR abs/2106.07379 (2021) - 2020
- [j62]William Keustermans, Toon Huysmans, Bert Schmelzer, Jan Sijbers, Joris J. J. Dirckx:
The effect of nasal shape on the thermal conditioning of inhaled air: Using clinical tomographic data to build a large-scale statistical shape model. Comput. Biol. Medicine 117: 103600 (2020) - [j61]Kristina Stankovic, Toon Huysmans, Femke Danckaers, Jan Sijbers, Brian G. Booth:
Subject-specific identification of three dimensional foot shape deviations using statistical shape analysis. Expert Syst. Appl. 151: 113372 (2020) - [j60]Quinten Beirinckx, Gabriel Ramos-Llordén, Ben Jeurissen, Dirk H. J. Poot, Paul M. Parizel, Marleen Verhoye, Jan Sijbers, Arnold J. den Dekker:
Joint Maximum Likelihood Estimation of Motion and T1 Parameters from Magnetic Resonance Images in a Super-resolution Framework: a Simulation Study. Fundam. Informaticae 172(2): 105-128 (2020) - [c75]Marina Ljubenovic, Shabab Bazrafkan, Pavel Paramonov, Jan De Beenhouwer, Jan Sijbers:
CNN-Based Deblurring of THz Time-Domain Images. VISIGRAPP (Revised Selected Papers) 2020: 477-494 - [c74]Pavel Paramonov, Lars-Paul Lumbeeck, Jan De Beenhouwer, Jan Sijbers:
Accurate Terahertz Imaging Simulation With Ray Tracing Incorporating Beam Shape and Refraction. ICIP 2020: 3035-3039 - [c73]Lars-Paul Lumbeeck, Pavel Paramonov, Jan Sijbers, Jan De Beenhouwer:
The Radon Transform For Terahertz Computed Tomography Incorporating The Beam Shape. ICIP 2020: 3040-3044 - [c72]Nathanaël Six, Jens Renders, Jan Sijbers, Jan De Beenhouwer:
Newton-Krylov Methods For Polychromatic X-Ray CT. ICIP 2020: 3045-3049 - [c71]Luis Filipe Alves Pereira, Jan De Beenhouwer, Johann Kastner, Jan Sijbers:
Extreme Sparse X-ray Computed Laminography Via Convolutional Neural Networks. ICTAI 2020: 612-616 - [c70]Marina Ljubenovic, Shabab Bazrafkan, Jan De Beenhouwer, Jan Sijbers:
CNN-based Deblurring of Terahertz Images. VISIGRAPP (4: VISAPP) 2020: 323-330
2010 – 2019
- 2019
- [j59]William Keustermans, Toon Huysmans, Bert Schmelzer, Jan Sijbers, Joris J. J. Dirckx:
Matlab® toolbox for semi-automatic segmentation of the human nasal cavity based on active shape modeling. Comput. Biol. Medicine 105: 27-38 (2019) - [j58]Bernhard Fröhler, Tim Elberfeld, Torsten Möller, Hans-Christian Hege, Johannes Weissenböck, Jan De Beenhouwer, Jan Sijbers, Johann Kastner, Christoph Heinzl:
A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science. Comput. Graph. Forum 38(3): 273-283 (2019) - [j57]Bart Bosmans, Toon Huysmans, Patricia Lopes, Eva Verhoelst, Tim Dezutter, Peter de Jaegere, Jan Sijbers, Jos Vander Sloten, Johan Bosmans:
Aortic root sizing for transcatheter aortic valve implantation using a shape model parameterisation. Medical Biol. Eng. Comput. 57(10): 2081-2092 (2019) - [j56]Timo Roine, Ben Jeurissen, Daniele Perrone, Jan Aelterman, Wilfried Philips, Jan Sijbers, Alexander Leemans:
Reproducibility and intercorrelation of graph theoretical measures in structural brain connectivity networks. Medical Image Anal. 52: 56-67 (2019) - [c69]Thomas Peeters, Jochen Vleugels, Stijn Verwulgen, Femke Danckaers, Toon Huysmans, Jan Sijbers, Guido De Bruyne:
A Comparative Study Between Three Measurement Methods to Predict 3D Body Dimensions Using Shape Modelling. AHFE (24) 2019: 464-470 - [c68]Jeroen Van Houtte, Shabab Bazrafkan, Filip Vandenberghe, Guoyan Zheng, Jan Sijbers:
A Deep Learning Approach to Horse Bone Segmentation from Digitally Reconstructed Radiographs. IPTA 2019: 1-6 - [i1]Shabab Bazrafkan, Vincent Van Nieuwenhove, Joris Soons, Jan De Beenhouwer, Jan Sijbers:
Deep Learning Based Computed Tomography Whys and Wherefores. CoRR abs/1904.03908 (2019) - 2018
- [j55]Tiago Buarque Assunção de Carvalho, Maria A. A. Sibaldo, Ing Ren Tsang, George D. C. Cavalcanti, Jan Sijbers, Ing Jyh Tsang:
IntensityPatches and RegionPatches for image recognition. Appl. Soft Comput. 62: 176-186 (2018) - [j54]Stuart D. Washington, Julie Hamaide, Ben Jeurissen, Gwendolyn Van Steenkiste, Toon Huysmans, Jan Sijbers, Steven Deleye, Jagmeet S. Kanwal, Geert De Groof, Sayuan Liang, Johan Van Audekerke, Jeffrey J. Wenstrup, Annemarie van der Linden, Susanne Radtke-Schuller, Marleen Verhoye:
A three-dimensional digital neurological atlas of the mustached bat (Pteronotus parnellii). NeuroImage 183: 300-313 (2018) - [j53]Gabriel Ramos-Llordén, Gonzalo Vegas-Sánchez-Ferrero, Marcus Bjork, Floris Vanhevel, Paul M. Parizel, Raúl San José Estépar, Arnold J. den Dekker, Jan Sijbers:
NOVIFAST: A Fast Algorithm for Accurate and Precise VFA MRI T1 Mapping. IEEE Trans. Medical Imaging 37(11): 2414-2427 (2018) - 2017
- [j52]Daniel Lacko, Toon Huysmans, Jochen Vleugels, Guido De Bruyne, Marc M. Van Hulle, Jan Sijbers, Stijn Verwulgen:
Product sizing with 3D anthropometry and k-medoids clustering. Comput. Aided Des. 91: 60-74 (2017) - [j51]Luis Filipe Alves Pereira, Eline Janssens, George D. C. Cavalcanti, Ing Ren Tsang, Mattias Van Dael, Pieter Verboven, Bart M. Nicolaï, Jan Sijbers:
Inline discrete tomography system: Application to agricultural product inspection. Comput. Electron. Agric. 138: 117-126 (2017) - [j50]Julie Hamaide, Geert De Groof, Gwendolyn Van Steenkiste, Ben Jeurissen, Johan Van Audekerke, Maarten Naeyaert, Lisbeth Van Ruijssevelt, Charlotte Cornil, Jan Sijbers, Marleen Verhoye, Annemie van der Linden:
Exploring sex differences in the adult zebra finch brain: In vivo diffusion tensor imaging and ex vivo super-resolution track density imaging. NeuroImage 146: 789-803 (2017) - [j49]P. V. Sudeep, Palanisamy Ponnusamy, Chandrasekharan Kesavadas, Jan Sijbers, Arnold J. den Dekker, Jeny Rajan:
A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps. Signal Image Video Process. 11(5): 913-920 (2017) - [j48]Vincent Van Nieuwenhove, Jan De Beenhouwer, Thomas De Schryver, Luc Van Hoorebeke, Jan Sijbers:
Data-Driven Affine Deformation Estimation and Correction in Cone Beam Computed Tomography. IEEE Trans. Image Process. 26(3): 1441-1451 (2017) - [j47]Gabriel Ramos-Llordén, Arnold J. den Dekker, Gwendolyn Van Steenkiste, Ben Jeurissen, Floris Vanhevel, Johan Van Audekerke, Marleen Verhoye, Jan Sijbers:
A Unified Maximum Likelihood Framework for Simultaneous Motion and T1 Estimation in Quantitative MR T1 Mapping. IEEE Trans. Medical Imaging 36(2): 433-446 (2017) - [j46]Gabriel Ramos-Llordén, Arnold J. den Dekker, Jan Sijbers:
Partial Discreteness: A Novel Prior for Magnetic Resonance Image Reconstruction. IEEE Trans. Medical Imaging 36(5): 1041-1053 (2017) - [c67]Femke Danckaers, Toon Huysmans, Ann Hallemans, Guido De Bruyne, Steven Truijen, Jan Sijbers:
Full Body Statistical Shape Modeling with Posture Normalization. AHFE (7) 2017: 437-448 - [c66]Femke Danckaers, Daniël Lacko, Stijn Verwulgen, Guido De Bruyne, Toon Huysmans, Jan Sijbers:
A Combined Statistical Shape Model of the Scalp and Skull of the Human Head. AHFE (7) 2017: 538-548 - [c65]Diana L. Giraldo, Jan Sijbers, Eduardo Romero:
Quantifying cognition and behavior in normal aging, mild cognitive impairment, and Alzheimer's disease. SIPAIM 2017: 105720H - 2016
- [j45]Folkert Bleichrodt, Tristan van Leeuwen, Willem Jan Palenstijn, Wim van Aarle, Jan Sijbers, Kees Joost Batenburg:
Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators. Numer. Algorithms 71(3): 673-697 (2016) - [j44]Caroline Guglielmetti, Jelle Veraart, E. Roelant, Zhenhua Mai, J. Daans, Johan Van Audekerke, Maarten Naeyaert, Greetje Vanhoutte, Rafael Delgado y Palacios, Jelle Praet, Els Fieremans, Peter Ponsaerts, Jan Sijbers, Annemarie van der Linden, Marleen Verhoye:
Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone induced demyelination and spontaneous remyelination. NeuroImage 125: 363-377 (2016) - [j43]Jelle Veraart, Dmitry S. Novikov, Daan Christiaens, Benjamin Ades-aron, Jan Sijbers, Els Fieremans:
Denoising of diffusion MRI using random matrix theory. NeuroImage 142: 394-406 (2016) - [c64]Tiago Buarque Assunção de Carvalho, Maria A. A. Sibaldo, Ing Ren Tsang, George D. C. Cavalcanti, Ing Jyh Tsang, Jan Sijbers:
Pixel Clustering for Face Recognition. BRACIS 2016: 121-126 - [c63]Piet Bladt, Gwendolyn Van Steenkiste, Gabriel Ramos-Llordén, Arnold J. den Dekker, Jan Sijbers:
Multi-voxel algorithm for quantitative bi-exponential MRI T1 estimation. Image Processing 2016: 978402 - 2015
- [j42]Siegfried Cools, Pieter Ghysels, Wim van Aarle, Jan Sijbers, Wim Vanroose:
A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems. J. Comput. Appl. Math. 283: 1-16 (2015) - [j41]Sam Van der Jeught, Jan Sijbers, Joris J. J. Dirckx:
Fast Fourier-Based Phase Unwrapping on the Graphics Processing Unit in Real-Time Imaging Applications. J. Imaging 1(1): 31-44 (2015) - [j40]Timo Roine, Ben Jeurissen, Daniele Perrone, Jan Aelterman, Wilfried Philips, Alexander Leemans, Jan Sijbers:
Informed constrained spherical deconvolution (iCSD). Medical Image Anal. 24(1): 269-281 (2015) - [j39]R. Riji, Jeny Rajan, Jan Sijbers, Madhu S. Nair:
Iterative bilateral filter for Rician noise reduction in MR images. Signal Image Video Process. 9(7): 1543-1548 (2015) - [j38]Geert Van Eyndhoven, Kees Joost Batenburg, Daniil Kazantsev, Vincent Van Nieuwenhove, Peter D. Lee, Katherine J. Dobson, Jan Sijbers:
An Iterative CT Reconstruction Algorithm for Fast Fluid Flow Imaging. IEEE Trans. Image Process. 24(11): 4446-4458 (2015) - [c62]Geert Van Eyndhoven, Kees Joost Batenburg, Jan Sijbers:
Region based 4D tomographic image reconstruction: Application to cardiac x-ray CT. ICIP 2015: 113-117 - [c61]Eline Janssens, Jan De Beenhouwer, Mattias Van Dael, Pieter Verboven, Bart M. Nicolaï, Jan Sijbers:
Neural netwok based X-ray tomography for fast inspection of apples on a conveyor belt system. ICIP 2015: 917-921 - [c60]Gabriel Ramos-Llordén, Hilde Segers, Willem Jan Palenstijn, Arnold J. den Dekker, Jan Sijbers:
Partially discrete magnetic resonance tomography. ICIP 2015: 1653-1657 - [c59]Gabriel Ramos-Llordén, Arnold J. den Dekker, Gwendolyn Van Steenkiste, Johan Van Audekerke, Marleen Verhoye, Jan Sijbers:
Simultaneous motion correction and T1 estimation in quantitative T1 mapping: An ML restoration approach. ICIP 2015: 3160-3164 - [c58]Gwendolyn Van Steenkiste, Dirk H. J. Poot, Ben Jeurissen, Arnold J. den Dekker, Jan Sijbers:
High resolution T1 estimation from multiple low resolution magnetic resonance images. ISBI 2015: 1036-1039 - [c57]Linda Plantagie, Wim van Aarle, Jan Sijbers, Kees Joost Batenburg:
Filtered backprojection using algebraic filters; application to biomedical micro-CT data. ISBI 2015: 1596-1599 - 2014
- [j37]Tom Roelandts, Kees Joost Batenburg, Arnold J. den Dekker, Jan Sijbers:
The reconstructed residual error: A novel segmentation evaluation measure for reconstructed images in tomography. Comput. Vis. Image Underst. 126: 28-37 (2014) - [j36]Timo Roine, Ben Jeurissen, Daniele Perrone, Jan Aelterman, Alexander Leemans, Wilfried Philips, Jan Sijbers:
Isotropic non-white matter partial volume effects in constrained spherical deconvolution. Frontiers Neuroinformatics 8: 28 (2014) - [j35]Folkert Bleichrodt, Jan De Beenhouwer, Jan Sijbers, Kees Joost Batenburg:
Aligning Projection Images from Binary Volumes. Fundam. Informaticae 135(1-2): 21-42 (2014) - [j34]Ben Jeurissen, Alexander Leemans, Jan Sijbers:
Automated correction of improperly rotated diffusion gradient orientations in diffusion weighted MRI. Medical Image Anal. 18(7): 953-962 (2014) - [j33]Ben Jeurissen, Jacques-Donald Tournier, Thijs Dhollander, Alan Connelly, Jan Sijbers:
Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data. NeuroImage 103: 411-426 (2014) - [j32]Jeny Rajan, Arnold J. den Dekker, Jan Sijbers:
A new non-local maximum likelihood estimation method for Rician noise reduction in magnetic resonance images using the Kolmogorov-Smirnov test. Signal Process. 103: 16-23 (2014) - [j31]Geert Van Eyndhoven, Kees Joost Batenburg, Jan Sijbers:
Region-Based Iterative Reconstruction of Structurally Changing Objects in CT. IEEE Trans. Image Process. 23(2): 909-919 (2014) - [j30]Wim van Aarle, Kees Joost Batenburg, Gert Van Gompel, Elke Van de Casteele, Jan Sijbers:
Super-Resolution for Computed Tomography Based on Discrete Tomography. IEEE Trans. Image Process. 23(3): 1181-1193 (2014) - [c56]Tiago Buarque Assunção de Carvalho, M. A. A. Sibaldo, Ing Ren Tsang, George D. C. Cavalcanti, Ing Jyh Tsang, Jan Sijbers:
Fractional Eigenfaces. ICIP 2014: 258-262 - [c55]Femke Danckaers, Toon Huysmans, Daniel Lacko, Alessandro Ledda, Stijn Verwulgen, S. Van Dongen, Jan Sijbers:
Correspondence Preserving Elastic Surface Registration with Shape Model Prior. ICPR 2014: 2143-2148 - [c54]Hector N. B. Pinheiro, Tsang Ing Ren, George D. C. Cavalcanti, Ing-Jyh Tsang, Jan Sijbers:
Type-2 Fuzzy GMMs for Robust Text-Independent Speaker Verification in Noisy Environments. ICPR 2014: 4531-4536 - [c53]Luis Filipe Alves Pereira, Andrei Dabravolski, Tsang Ing Ren, George D. C. Cavalcanti, Jan Sijbers:
Conveyor Belt X-ray CT Using Domain Constrained Discrete Tomography. SIBGRAPI 2014: 290-297 - 2013
- [j29]Kees Joost Batenburg, Willem Jan Palenstijn, Péter Balázs, Jan Sijbers:
Dynamic angle selection in binary tomography. Comput. Vis. Image Underst. 117(4): 306-318 (2013) - [j28]Hilde Segers, Willem Jan Palenstijn, Kees Joost Batenburg, Jan Sijbers:
Discrete Tomography in MRI: a Simulation Study. Fundam. Informaticae 125(3-4): 223-237 (2013) - [j27]Karim Zarei Zefreh, Wim van Aarle, Kees Joost Batenburg, Jan Sijbers:
Discrete algebraic reconstruction technique: a new approach for superresolution reconstruction of license plates. J. Electronic Imaging 22(4): 041111 (2013) - [j26]Jelle Veraart, Jan Sijbers, Stefan Sunaert, Alexander Leemans, Ben Jeurissen:
Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls. NeuroImage 81: 335-346 (2013) - [c52]Jeny Rajan, Arnold J. den Dekker, Jaber Juntu, Jan Sijbers:
A New Nonlocal Maximum Likelihood Estimation Method for Denoising Magnetic Resonance Images. PReMI 2013: 451-458 - [c51]Caio C. Sabino, Laís S. Andrade, Tsang Ing Ren, George D. C. Cavalcanti, Ing Jyh Tsang, Jan Sijbers:
Motion Compensation Techniques in Permutation-Based Video Encryption. SMC 2013: 1578-1581 - [c50]Silvio G. O. Santos, Tsang Ing Ren, George D. C. Cavalcanti, Ing Jyh Tsang, Jan Sijbers:
Pedestrian Detection under Progressive Occlusion. SMC 2013: 4322-4327 - [c49]Hector N. B. Pinheiro, Tsang Ing Ren, George D. C. Cavalcanti, Ing Jyh Tsang, Jan Sijbers:
Type-2 Fuzzy GMM-UBM for Text-Independent Speaker Verification. SMC 2013: 4328-4331 - [c48]Leonardo Valeriano Neri, Tsang Ing Ren, George D. C. Cavalcanti, Ing Jyh Tsang, Jan Sijbers:
A Combined Features Approach for Speaker Segmentation Using BIC and Artificial Neural Networks. SMC 2013: 4332-4335 - 2012
- [j25]Lode Vanacken, Romulo Pinho, Jan Sijbers, Karin Coninx:
Force Feedback to Assist Active Contour Modelling for Tracheal Stenosis Segmentation. Adv. Hum. Comput. Interact. 2012: 632498:1-632498:9 (2012) - [j24]Ines Blockx, Geert De Groof, Marleen Verhoye, Johan Van Audekerke, Kerstin Raber, Dirk H. J. Poot, Jan Sijbers, Alexander P. Osmand, Stephan Von Hörsten, Annemie van der Linden:
Microstructural changes observed with DKI in a transgenic Huntington rat model: Evidence for abnormal neurodevelopment. NeuroImage 59(2): 957-967 (2012) - [j23]Ines Blockx, Marleen Verhoye, Johan Van Audekerke, Irene Bergwerf, Jack X. Kane, Rafael Delgado y Palacios, Jelle Veraart, Ben Jeurissen, Kerstin Raber, Stephan Von Hörsten, Peter Ponsaerts, Jan Sijbers, Trygve B. Leergaard, Annemie van der Linden:
Identification and characterization of Huntington related pathology: An in vivo DKI imaging study. NeuroImage 63(2): 653-662 (2012) - [j22]Wim van Aarle, Kees Joost Batenburg, Jan Sijbers:
Automatic Parameter Estimation for the Discrete Algebraic Reconstruction Technique (DART). IEEE Trans. Image Process. 21(11): 4608-4621 (2012) - [j21]Pechin Lo, Bram van Ginneken, Joseph M. Reinhardt, Tarunashree Yavarna, Pim A. de Jong, Benjamin Irving, Catalin I. Fetita, Margarete Ortner, Romulo Pinho, Jan Sijbers, Marco Feuerstein, Anna Fabijanska, Christian Bauer, Reinhard Beichel, Carlos S. Mendoza, Rafael Wiemker, Jaesung Lee, Anthony P. Reeves, Silvia Born, Oliver Weinheimer, Eva M. van Rikxoort, Juerg Tschirren, Kensaku Mori, Benjamin Odry, David P. Naidich, Ieneke Hartmann, Eric A. Hoffman, Mathias Prokop, Jesper Johannes Holst Pedersen, Marleen de Bruijne:
Extraction of Airways From CT (EXACT'09). IEEE Trans. Medical Imaging 31(11): 2093-2107 (2012) - [c47]Geert Van Eyndhoven, Jan Sijbers, Kees Joost Batenburg:
Combined Motion Estimation and Reconstruction in Tomography. ECCV Workshops (1) 2012: 12-21 - [c46]Jeny Rajan, Johan Van Audekerke, Annemie van der Linden, Marleen Verhoye, Jan Sijbers:
An adaptive non local maximum likelihood estimation method for denoising magnetic resonance images. ISBI 2012: 1136-1139 - 2011
- [j20]Romulo Pinho, Kurt G. Tournoy, Jan Sijbers:
Assessment and stenting of tracheal stenosis using deformable shape models. Medical Image Anal. 15(2): 250-266 (2011) - [j19]Wim Van Hecke, Alexander Leemans, Caroline A. Sage, Louise Emsell, Jelle Veraart, Jan Sijbers, Stefan Sunaert, Paul M. Parizel:
The effect of template selection on diffusion tensor voxel-based analysis results. NeuroImage 55(2): 566-573 (2011) - [j18]Jelle Veraart, Trygve B. Leergaard, Bjørnar T. Antonsen, Wim Van Hecke, Ines Blockx, Ben Jeurissen, Yi Jiang, Annemie van der Linden, G. Allan Johnson, Marleen Verhoye, Jan Sijbers:
Population-averaged diffusion tensor imaging atlas of the Sprague Dawley rat brain. NeuroImage 58(4): 975-983 (2011) - [j17]Kees Joost Batenburg, Wim van Aarle, Jan Sijbers:
A semi-automatic algorithm for grey level estimation in tomography. Pattern Recognit. Lett. 32(9): 1395-1405 (2011) - [j16]Kees Joost Batenburg, Jan Sijbers:
DART: A Practical Reconstruction Algorithm for Discrete Tomography. IEEE Trans. Image Process. 20(9): 2542-2553 (2011) - [j15]Wim van Aarle, Kees Joost Batenburg, Jan Sijbers:
Optimal Threshold Selection for Segmentation of Dense Homogeneous Objects in Tomographic Reconstructions. IEEE Trans. Medical Imaging 30(4): 980-989 (2011) - [c45]Zhenhua Mai, Jeny Rajan, Marleen Verhoye, Jan Sijbers:
Robust edge-directed interpolation of magnetic resonance images. BMEI 2011: 472-476 - [c44]Maryna Kudzinava, Dirk H. J. Poot, Annemarie Plaisier, Jan Sijbers:
Optimized workflow for diffusion kurtosis imaging of newborns. ISBI 2011: 922-926 - [c43]Thijs Dhollander, Jelle Veraart, Wim Van Hecke, Frederik Maes, Stefan Sunaert, Jan Sijbers, Paul Suetens:
Feasibility and Advantages of Diffusion Weighted Imaging Atlas Construction in Q-Space. MICCAI (2) 2011: 166-173 - [c42]Jeny Rajan, Marleen Verhoye, Jan Sijbers:
A maximum likelihood estimation method for denoising magnitude MRI using restricted local neighborhood. Image Processing 2011: 79624U - 2010
- [j14]Toon Huysmans, Jan Sijbers, Brigitte Verdonk:
Automatic Construction of Correspondences for Tubular Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 32(4): 636-651 (2010) - [j13]Dirk H. J. Poot, Arnold J. den Dekker, Eric Achten, Marleen Verhoye, Jan Sijbers:
Optimal Experimental Design for Diffusion Kurtosis Imaging. IEEE Trans. Medical Imaging 29(3): 819-829 (2010) - [c41]Jeny Rajan, Dirk H. J. Poot, Jaber Juntu, Jan Sijbers:
Segmentation Based Noise Variance Estimation from Background MRI Data. ICIAR (1) 2010: 62-70 - [c40]Jelle Veraart, Wim Van Hecke, Ines Blockx, Annemie van der Linden, Marleen Verhoye, Jan Sijbers:
Non-rigid coregistration of diffusion kurtosis data. ISBI 2010: 392-395 - [c39]Zhenhua Mai, Wolfgang Jacquet, Marleen Verhoye, Jan Sijbers:
Diffusion tensor images edge-directed interpolation. ISBI 2010: 732-735 - [c38]Gert Van Gompel, Kees Joost Batenburg, Elke Van de Casteele, Wim van Aarle, Jan Sijbers:
A discrete tomography approach for superresolution micro-CT images: application to bone. ISBI 2010: 816-819 - [c37]Dirk H. J. Poot, Vincent Van Meir, Jan Sijbers:
General and Efficient Super-Resolution Method for Multi-slice MRI. MICCAI (1) 2010: 615-622
2000 – 2009
- 2009
- [j12]Kees Joost Batenburg, Jan Sijbers:
Generic iterative subset algorithms for discrete tomography. Discret. Appl. Math. 157(3): 438-451 (2009) - [j11]Wim Van Hecke, Jan Sijbers, Steve De Backer, Dirk H. J. Poot, Paul M. Parizel, Alexander Leemans:
On the construction of a ground truth framework for evaluating voxel-based diffusion tensor MRI analysis methods. NeuroImage 46(3): 692-707 (2009) - [j10]Kees Joost Batenburg, Jan Sijbers:
Adaptive thresholding of tomograms by projection distance minimization. Pattern Recognit. 42(10): 2297-2305 (2009) - [j9]Arnold J. den Dekker, Dirk H. J. Poot, Robert Bos, Jan Sijbers:
Likelihood-Based Hypothesis Tests for Brain Activation Detection From MRI Data Disturbed by Colored Noise: A Simulation Study. IEEE Trans. Medical Imaging 28(2): 287-296 (2009) - [j8]Kees Joost Batenburg, Jan Sijbers:
Optimal Threshold Selection for Tomogram Segmentation by Projection Distance Minimization. IEEE Trans. Medical Imaging 28(5): 676-686 (2009) - [c36]Kees Joost Batenburg, Wim van Aarle, Jan Sijbers:
Grey Level Estimation for Discrete Tomography. DGCI 2009: 517-529 - [c35]Zhenhua Mai, Marleen Verhoye, Annemie van der Linden, Jan Sijbers:
Diffusion Tensor Images Upsampling: A Registration-Based Approach. IMVIP 2009: 36-40 - [c34]Jeny Rajan, Ben Jeurissen, Jan Sijbers, K. Kannan:
Denoising Magnetic Resonance Images Using Fourth Order Complex Diffusion. IMVIP 2009: 123-127 - [c33]Sander van der Maar, Kees Joost Batenburg, Jan Sijbers:
Experiences with Cell-BE and GPU for Tomography. SAMOS 2009: 298-307 - 2008
- [j7]Wim Van Hecke, Jan Sijbers, Emiliano D'Agostino, Frederik Maes, Steve De Backer, Everhard Vandervliet, Paul M. Parizel, Alexander Leemans:
On the construction of an inter-subject diffusion tensor magnetic resonance atlas of the healthy human brain. NeuroImage 43(1): 69-80 (2008) - [c32]Kees Joost Batenburg, Jan Sijbers:
Selection of Local Thresholds for Tomogram Segmentation by Projection Distance Minimization. DGCI 2008: 380-391 - [c31]Ben Jeurissen, Alexander Leemans, Jacques-Donald Tournier, Jan Sijbers:
Estimation of uncertainty in constrained spherical deconvolution fiber orientations. ISBI 2008: 907-910 - [c30]Wim van Aarle, Kees Joost Batenburg, Jan Sijbers:
Threshold Selection for Segmentation of Dense Objects in Tomograms. ISVC (1) 2008: 700-709 - [c29]Wim Van Hecke, Alexander Leemans, Emiliano D'Agostino, Steve De Backer, Evert Vandervliet, Paul M. Parizel, Jan Sijbers:
The evaluation of a population based diffusion tensor image atlas using a ground truth method. Image Processing 2008: 69140B - [c28]Rudolf Hanel, Kees Joost Batenburg, Steve De Backer, Paul Scheunders, Jan Sijbers:
Fast bias field reduction by localized Lloyd-Max quantization. Image Processing 2008: 69141A - [c27]Wouter Pintjens, Dirk H. J. Poot, Marleen Verhoye, Annemarie van der Linden, Jan Sijbers:
Susceptibility correction for improved tractography using high field DT-EPI. Image Processing 2008: 69142I - [c26]Dirk H. J. Poot, Jan Sijbers, Arnold J. den Dekker:
An exploration of spatial similarities in temporal noise spectra in fMRI measurements. Image Processing 2008: 69142F - [c25]Romulo Pinho, Toon Huysmans, Wim Vos, Jan Sijbers:
Tracheal stent prediction using statistical deformable models of tubular shapes. Image Processing 2008: 69144O - 2007
- [j6]Wim Van Hecke, Alexander Leemans, Emiliano D'Agostino, Steve De Backer, Everhard Vandervliet, Paul M. Parizel, Jan Sijbers:
Nonrigid Coregistration of Diffusion Tensor Images Using a Viscous Fluid Model and Mutual Information. IEEE Trans. Medical Imaging 26(11): 1598-1612 (2007) - [c24]Romulo Pinho, Jan Sijbers, Toon Huysmans:
Segmentation of the Human Trachea Using Deformable Statistical Models of Tubular Shapes. ACIVS 2007: 531-542 - [c23]Zhenhua Mai, Toon Huysmans, Jan Sijbers:
Colon Visualization Using Cylindrical Parameterization. ACIVS 2007: 607-615 - [c22]Kees Joost Batenburg, Jan Sijbers:
Optimal Threshold Selection for Tomogram Segmentation by Reprojection of the Reconstructed Image. CAIP 2007: 563-570 - [c21]Kees Joost Batenburg, Jan Sijbers:
Dart: A Fast Heuristic Algebraic Reconstruction Algorithm for Discrete Tomography. ICIP (4) 2007: 133-136 - [c20]Kees Joost Batenburg, Jan Sijbers:
Automatic multiple threshold scheme for segmentation of tomograms. Image Processing 2007: 65123D - 2006
- [c19]Toon Huysmans, Jan Sijbers, Filiep Vanpoucke, Brigitte Verdonk:
Improved Shape Modeling of Tubular Objects Using Cylindrical Parameterization. MIAR 2006: 84-91 - [c18]Jan Sijbers, Arnold J. den Dekker, Dirk H. J. Poot, Robert Bos, Marleen Verhoye, Nadja Van Camp, Annemie van der Linden:
Robust estimation of the noise variance from background MR data. Image Processing 2006: 61446B - 2005
- [j5]Toon Huysmans, Jan Sijbers, Brigitte Verdonk:
Parametrization of Tubular Surfaces on the Cylinder. J. WSCG 13(3): 97-104 (2005) - [j4]Vincent Van Meir, Tiny Boumans, Geert De Groof, Johan Van Audekerke, Alain Smolders, Paul Scheunders, Jan Sijbers, Marleen Verhoye, Jacques Balthazart, Annemie van der Linden:
Spatiotemporal properties of the BOLD response in the songbirds' auditory circuit during a variety of listening tasks. NeuroImage 25(4): 1242-1255 (2005) - [j3]Jan Sijbers, Arnold J. den Dekker:
Generalized likelihood ratio tests for complex fMRI data: a Simulation study. IEEE Trans. Medical Imaging 24(5): 604-611 (2005) - [c17]Alexander Leemans, Jan Sijbers, Steve De Backer, Everhard Vandervliet, Paul M. Parizel:
Affine Coregistration of Diffusion Tensor Magnetic Resonance Images Using Mutual Information. ACIVS 2005: 523-530 - [c16]Jan Sijbers, Arnold Jan den Dekker, Robert Bos:
A Likelihood Ratio Test for Functional MRI Data Analysis to Account for Colored Noise. ACIVS 2005: 538-546 - [c15]Jaber Juntu, Jan Sijbers, Dirk Van Dyck, Jan Gielen:
Bias Field Correction for MRI Images. CORES 2005: 543-551 - 2004
- [c14]Arnold J. den Dekker, Jan Sijbers:
Detection of brain activation from magnitude fMRI data using a Generalized Likelihood Ratio Test. EUSIPCO 2004: 233-236 - [c13]Elke Van de Casteele, Dirk Van Dyck, Jan Sijbers, Erik Raman:
The effect of beam hardening on resolution in x-ray microtomography. Image Processing 2004 - [c12]Gert Van Gompel, Greg Tisson, Dirk Van Dyck, Jan Sijbers:
A new algorithm for 2D region of interest tomography. Image Processing 2004 - 2002
- [c11]Jan Sijbers, Dirk Van Dyck:
Efficient algorithm for the computation of 3D Fourier descriptors. 3DPVT 2002: 640-643 - [c10]Jan Sijbers, Tom Ceulemans, Dirk Van Dyck:
Algorithm for the Computation of 3D Fourier Descriptors. ICPR (2) 2002: 790-793 - [c9]Paul Scheunders, Jan Sijbers:
Multiscale Watershed Segmentation of Multivalued Images. ICPR (3) 2002: 855-858 - 2001
- [c8]Paul Scheunders, Jan Sijbers:
Multiscale anisotropic filtering of color images. ICIP (3) 2001: 170-173 - 2000
- [c7]Jan Sijbers, Ive Michiels, Johan Van Audekerke, Marleen Verhoye, Annemarie van der Linden, Dirk Van Dyck:
Automatic EEG signal restoration during simultaneous EEG/MR acquisitions. Image Processing 2000 - [c6]Jan Sijbers, Bart Vanrumste, Gert Van Hoey, Paul Boon, Marleen Verhoye, Annemarie van der Linden, Dirk Van Dyck:
Automatic detection of EEG electrode markers on 3D MR data. Image Processing 2000
1990 – 1999
- 1999
- [j2]Jan Sijbers, Arnold J. den Dekker, Erik Raman, Dirk Van Dyck:
Parameter estimation from magnitude MR images. Int. J. Imaging Syst. Technol. 10(2): 109-114 (1999) - [c5]Jan Sijbers, Arnold Jan den Dekker, Marleen Verhoye, Annemarie van der Linden, Dirk Van Dyck:
Adaptive anisotropic noise filtering for magnitude MR data. Image Processing 1999 - 1998
- [j1]Jan Sijbers, Arnold J. den Dekker, Paul Scheunders, Dirk Van Dyck:
Maximum Likelihood Estimation of Rician Distribution Parameters. IEEE Trans. Medical Imaging 17(3): 357-361 (1998) - [c4]Arnold Jan den Dekker, Jan Sijbers, Marleen Verhoye, Dirk Van Dyck:
Maximum-likelihood signal estimation in phase contrast magnitude MR images. Image Processing 1998 - [c3]Jan Sijbers, Arnold Jan den Dekker, Marleen Verhoye, Erik R. R. Raman, Dirk Van Dyck:
Optimal estimation of T2 maps from magnitude MR images. Image Processing 1998 - 1996
- [c2]Eva Bettens, Paul Scheunders, Jan Sijbers, Dirk Van Dyck, L. Moens:
Automatic segmentation and modelling of two-dimensional electrophoresis gels. ICIP (2) 1996: 665-668 - [c1]Jan Sijbers, Annemarie van der Linden, Paul Scheunders, Johan Van Audekerke, Dirk Van Dyck, Erik R. R. Raman:
Volume quantization of the mouse cerebellum by semiautomatic 3D segmentation of magnetic resonance images. Image Processing 1996
Coauthor Index
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