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ORCIDTristan van Leeuwen
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2020 – today
- 2024
[j21]Tianyuan Wang
, Virginia Florian, Richard Schielein, Christian Kretzer, Stefan Kasperl, Felix Lucka, Tristan van Leeuwen:
Task-Adaptive Angle Selection for Computed Tomography-Based Defect Detection. J. Imaging 10(9): 208 (2024)- [j20]Tianyuan Wang, Felix Lucka, Tristan van Leeuwen:
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning. IEEE Trans. Computational Imaging 10: 953-968 (2024) - [i23]Ryan A. L. Schoop, Gijs A. G. M. Hendriks, Tristan van Leeuwen, Chris L. de Korte, Felix Lucka:
Experimental Validation of Ultrasound Beamforming with End-to-End Deep Learning for Single Plane Wave Imaging. CoRR abs/2404.14188 (2024) - [i22]Wangduo Xie, Richard Schoonhoven, Tristan van Leeuwen, Matthew B. Blaschko:
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution. CoRR abs/2409.07171 (2024) - 2023
- [j19]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:
Inside out: Fusing 3D imaging modalities for the internal and external investigation of multi-material museum objects. Digit. Appl. Archaeol. Cult. Heritage 31: 00296 (2023) - [j18]Max H. C. van Riel, Tristan van Leeuwen, Cornelis A. T. van den Berg, Alessandro Sbrizzi:
Time-Resolved Reconstruction of Motion, Force, and Stiffness Using Spectro-Dynamic MRI. IEEE Trans. Computational Imaging 9: 917-927 (2023) - [c9]Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann:
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. MIDL 2023: 332-349 - [c8]Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann:
Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. Image Processing 2023 - [i21]Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann:
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. CoRR abs/2303.03478 (2023) - [i20]Tristan van Leeuwen, Andreas Tataris:
A data-driven approach to solving a 1D inverse scattering problem. CoRR abs/2304.02926 (2023) - [i19]Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg:
Quantifying the effect of X-ray scattering for data generation in real-time defect detection. CoRR abs/2305.12822 (2023) - [i18]Maximilian B. Kiss, Sophia Bethany Coban, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka:
2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning. CoRR abs/2306.05907 (2023) - [i17]Tianyuan Wang, Felix Lucka, Tristan van Leeuwen:
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning. CoRR abs/2307.06343 (2023) - 2022
- [j17]Mathé T. Zeegers, Tristan van Leeuwen, Daniël Maria Pelt, Sophia Bethany Coban, Robert van Liere, Kees Joost Batenburg:
A tomographic workflow to enable deep learning for X-ray based foreign object detection. Expert Syst. Appl. 206: 117768 (2022) - [j16]Gabrio Rizzuti, Alessandro Sbrizzi, Tristan van Leeuwen:
Joint Retrospective Motion Correction and Reconstruction for Brain MRI With a Reference Contrast. IEEE Trans. Computational Imaging 8: 490-504 (2022) - [j15]Dirk Elias Schut, Kees Joost Batenburg, Robert van Liere, Tristan van Leeuwen:
TOP-CT: Trajectory With Overlapping Projections X-Ray Computed Tomography. IEEE Trans. Computational Imaging 8: 598-608 (2022) - [i16]Mathé T. Zeegers, Tristan van Leeuwen, Daniël Maria Pelt, Sophia Bethany Coban, Robert van Liere, Kees Joost Batenburg:
A tomographic workflow to enable deep learning for X-ray based foreign object detection. CoRR abs/2201.12184 (2022) - 2021
- [j14]Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg:
Unsupervised Foreign Object Detection Based on Dual-Energy Absorptiometry in the Food Industry. J. Imaging 7(7): 104 (2021) - [j13]Tristan van Leeuwen, Aleksandr Y. Aravkin:
Variable Projection for NonSmooth Problems. SIAM J. Sci. Comput. 43(5): S249-S268 (2021) - [j12]Nick Luiken, Tristan van Leeuwen:
Relaxed Regularization for Linear Inverse Problems. SIAM J. Sci. Comput. 43(5): S269-S292 (2021) - [i15]Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg:
Unsupervised foreign object detection based on dual-energy absorptiometry in the food industry. CoRR abs/2104.05326 (2021) - [i14]Georgios Pilikos, Lars Horchens, Tristan van Leeuwen, Felix Lucka:
Deep Learning for Multi-View Ultrasonic Image Fusion. CoRR abs/2109.03616 (2021) - [i13]Georgios Pilikos, Chris L. de Korte, Tristan van Leeuwen, Felix Lucka:
Single Plane-Wave Imaging using Physics-Based Deep Learning. CoRR abs/2109.03661 (2021) - [i12]Gabrio Rizzuti, Tristan van Leeuwen:
WaRIance: wavefield reconstruction inversion with stochastic variable projection. CoRR abs/2112.10550 (2021) - [i11]Mathé T. Zeegers, Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg:
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography. CoRR abs/2112.11406 (2021) - 2020
- [j11]Nick Luiken, Tristan van Leeuwen:
Comparing RSVD and Krylov methods for linear inverse problems. Comput. Geosci. 137: 104427 (2020) - [j10]Mathé T. Zeegers, Daniël Maria Pelt, Tristan van Leeuwen, Robert van Liere, Kees Joost Batenburg:
Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning. J. Imaging 6(12): 132 (2020) - [j9]Ajinkya Kadu, Tristan van Leeuwen:
A Convex Formulation for Binary Tomography. IEEE Trans. Computational Imaging 6: 1-11 (2020) - [i10]Nick Luiken, Tristan van Leeuwen:
Relaxed regularization for linear inverse problems. CoRR abs/2006.14987 (2020) - [i9]Georgios Pilikos, Lars Horchens, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka:
Fast ultrasonic imaging using end-to-end deep learning. CoRR abs/2009.02194 (2020) - [i8]Georgios Pilikos, Lars Horchens, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka:
Deep data compression for approximate ultrasonic image formation. CoRR abs/2009.02293 (2020) - [i7]Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg:
CoShaRP: A Convex Program for Single-shot Tomographic Shape Sensing. CoRR abs/2012.04551 (2020)
2010 – 2019
- 2019
- [c7]Tristan van Leeuwen, Peter Jan van Leeuwen, Sergiy Zhuk:
Data-Driven Modeling for Wave-Propagation. ENUMATH 2019: 683-691 - 2018
- [j8]Ernie Esser, Lluís Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, Felix J. Herrmann:
Total Variation Regularization Strategies in Full-Waveform Inversion. SIAM J. Imaging Sci. 11(1): 376-406 (2018) - [j7]Aleksandr Y. Aravkin, Dmitriy Drusvyatskiy, Tristan van Leeuwen:
Efficient Quadratic Penalization Through the Partial Minimization Technique. IEEE Trans. Autom. Control. 63(7): 2131-2138 (2018) - [i6]Ajinkya Kadu, Tristan van Leeuwen:
A convex formulation for Discrete Tomography. CoRR abs/1807.09196 (2018) - 2017
- [j6]Aleid Oosterwijk, Henk A. Dijkstra, Tristan van Leeuwen:
An adjoint-free method to determine conditional nonlinear optimal perturbations. Comput. Geosci. 106: 190-199 (2017) - [j5]Ajinkya Kadu, Tristan van Leeuwen, Wim A. Mulder:
Salt Reconstruction in Full-Waveform Inversion With a Parametric Level-Set Method. IEEE Trans. Computational Imaging 3(2): 305-315 (2017) - [j4]Daniil Kazantsev, Folkert Bleichrodt, Tristan van Leeuwen, Anders Kaestner, Philip J. Withers, Kees Joost Batenburg, Peter D. Lee:
A Novel Tomographic Reconstruction Method Based on the Robust Student's t Function For Suppressing Data Outliers. IEEE Trans. Computational Imaging 3(4): 682-693 (2017) - [c6]Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg:
A Parametric Level-Set Method for Partially Discrete Tomography. DGCI 2017: 122-134 - [c5]Tristan van Leeuwen:
Joint parameter and state estimation for wave-based imaging and inversion. ICASSP 2017: 6210-6214 - [i5]Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg:
A parametric level-set method for partially discrete tomography. CoRR abs/1704.00568 (2017) - [i4]Tristan van Leeuwen, Ajinkya Kadu, Wim A. Mulder:
Geometric Imaging for Subsurface Salt Bodies. ERCIM News 2017(108) (2017) - 2016
- [j3]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) - [i3]Ajinkya Kadu, Tristan van Leeuwen, Wim A. Mulder:
Salt Reconstruction in Full Waveform Inversion with a Parametric Level-Set Method. CoRR abs/1610.00251 (2016) - 2014
- [j2]Tristan van Leeuwen, Felix J. Herrmann:
3D Frequency-Domain Seismic Inversion with Controlled Sloppiness. SIAM J. Sci. Comput. 36(5) (2014) - [c4]Tristan van Leeuwen, Kees Joost Batenburg:
Adaptive Grid Refinement for Discrete Tomography. DGCI 2014: 297-308 - 2013
- [c3]Aleksandr Y. Aravkin, Tristan van Leeuwen, Ning Tu:
Sparse seismic imaging using variable projection. ICASSP 2013: 2065-2069 - 2012
- [j1]Aleksandr Y. Aravkin, Michael P. Friedlander, Felix J. Herrmann, Tristan van Leeuwen:
Robust inversion, dimensionality reduction, and randomized sampling. Math. Program. 134(1): 101-125 (2012) - [c2]Aleksandr Y. Aravkin, Michael P. Friedlander, Tristan van Leeuwen:
Robust inversion via semistochastic dimensionality reduction. ICASSP 2012: 5245-5248 - 2011
- [i2]Aleksandr Y. Aravkin, Michael P. Friedlander, Tristan van Leeuwen:
Robust inversion via semistochastic dimensionality reduction. CoRR abs/1110.0895 (2011) - 2010
- [c1]Dirk Kraaijpoel, Tristan van Leeuwen:
Raising the order of multivariate approximation schemes using supplementary derivative data. ICCS 2010: 307-316
2000 – 2009
- 2009
- [i1]Rob H. Bisseling, Tristan van Leeuwen, Ümit V. Çatalyürek:
Combinatorial Problems in High-Performance Computing: Partitioning. Combinatorial Scientific Computing 2009
Coauthor Index
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last updated on 2024-12-02 22:31 CET by the dblp team
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