Tristan van Leeuwen

66 papers A 1B 1Misc 4Journal 54Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-Driven Filter Design for Flexible and Noise-Robust Tomographic Imaging. CoRR Hamid Fathi, Alexander Skorikov, Tristan van Leeuwen
2026	J	`jnl`	Derivative-free stochastic bilevel optimization for inverse problems. Comput. Optim. Appl. Mathias Staudigl, Simon Weissmann, Tristan van Leeuwen
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	A	`conf`	AC-IND: Sparse CT Reconstruction Based on Attenuation Coefficient Estimation and Implicit Neural Distribution. WACV Wangduo Xie, Richard Schoonhoven, Tristan van Leeuwen, Matthew B. Blaschko
2025	J	`jnl`	An invertible generative model for forward and inverse problems. CoRR Tristan van Leeuwen, Christoph Brune, Marcello Carioni
2025	—	`conf`	Bi-level Optimization and Implicit Differentiation as a Framework for Optimal Experimental Design in Tomography. SSVM (2) Hamid Fathi, Alexander Skorikov, Tristan van Leeuwen
2025	J	`jnl`	Inverse Scattering for Schrödinger Equation in the Frequency Domain via Data-Driven Reduced Order Modeling. SIAM J. Imaging Sci. Andreas Tataris, Tristan van Leeuwen, Alexander V. Mamonov
2025	J	`jnl`	Inverse scattering for Schrödinger equation in the frequency domain via data-driven reduced order modeling. CoRR Andreas Tataris, Tristan van Leeuwen, Alexander V. Mamonov
2025	J	`jnl`	Phasebook: A Survey of Selected Open Problems in Phase Retrieval. CoRR Marc Allain, Selin Aslan, Wim Coene, Sjoerd Dirksen, Jonathan Dong, Julien Flamant, Mark A. Iwen, Felix Krahmer, Tristan van Leeuwen, Oleh Melnyk, Andreas Menzel, Allard P. Mosk, Viktor Nikitin, Gerlind Plonka, Palina Salanevich, Matthias Wellershoff
2025	J	`jnl`	PtyGenography: using generative models for regularization of the phase retrieval problem. CoRR Selin Aslan, Tristan van Leeuwen, Allard P. Mosk, Palina Salanevich
2024	J	`jnl`	AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution. CoRR Wangduo Xie, Richard Schoonhoven, Tristan van Leeuwen, Matthew B. Blaschko
2024	J	`jnl`	Data-Driven Discovery of Mechanical Models Directly From MRI Spectral Data. IEEE Trans. Computational Imaging David G. J. Heesterbeek, Max H. C. van Riel, Tristan van Leeuwen, Cornelis A. T. van den Berg, Alessandro Sbrizzi
2024	J	`jnl`	Data-driven discovery of mechanical models directly from MRI spectral data. CoRR David G. J. Heesterbeek, Max H. C. van Riel, Tristan van Leeuwen, Cornelis A. T. van den Berg, Alessandro Sbrizzi
2024	J	`jnl`	Experimental Validation of Ultrasound Beamforming with End-to-End Deep Learning for Single Plane Wave Imaging. CoRR Ryan A. L. Schoop, Gijs A. G. M. Hendriks, Tristan van Leeuwen, Chris L. de Korte, Felix Lucka
2024	J	`jnl`	Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models. CoRR Ezgi Demircan-Tureyen, Felix Lucka, Tristan van Leeuwen
2024	J	`jnl`	Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning. IEEE Trans. Computational Imaging Tianyuan Wang, Felix Lucka, Tristan van Leeuwen
2024	J	`jnl`	Task-Adaptive Angle Selection for Computed Tomography-Based Defect Detection. J. Imaging Tianyuan Wang, Virginia Florian, Richard Schielein, Christian Kretzer, Stefan Kasperl, Felix Lucka, Tristan van Leeuwen
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`	A data-driven approach to solving a 1D inverse scattering problem. CoRR Tristan van Leeuwen, Andreas Tataris
2023	B	`conf`	Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. Image Processing Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
2023	—	`conf`	Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. MIDL Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann
2023	J	`jnl`	Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. CoRR Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
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`	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`	Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning. CoRR Tianyuan Wang, Felix Lucka, Tristan van Leeuwen
2023	J	`jnl`	Time-Resolved Reconstruction of Motion, Force, and Stiffness Using Spectro-Dynamic MRI. IEEE Trans. Computational Imaging Max H. C. van Riel, Tristan van Leeuwen, Cornelis A. T. van den Berg, Alessandro Sbrizzi
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	J	`jnl`	Joint Retrospective Motion Correction and Reconstruction for Brain MRI With a Reference Contrast. IEEE Trans. Computational Imaging Gabrio Rizzuti, Alessandro Sbrizzi, Tristan van Leeuwen
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`	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`	Deep Learning for Multi-View Ultrasonic Image Fusion. CoRR Georgios Pilikos, Lars Horchens, Tristan van Leeuwen, Felix Lucka
2021	J	`jnl`	Relaxed Regularization for Linear Inverse Problems. SIAM J. Sci. Comput. Nick Luiken, Tristan van Leeuwen
2021	J	`jnl`	Single Plane-Wave Imaging using Physics-Based Deep Learning. CoRR Georgios Pilikos, Chris L. de Korte, Tristan van Leeuwen, Felix Lucka
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
2021	J	`jnl`	Variable Projection for NonSmooth Problems. SIAM J. Sci. Comput. Tristan van Leeuwen, Aleksandr Y. Aravkin
2021	J	`jnl`	WaRIance: wavefield reconstruction inversion with stochastic variable projection. CoRR Gabrio Rizzuti, Tristan van Leeuwen
2020	J	`jnl`	A Convex Formulation for Binary Tomography. IEEE Trans. Computational Imaging Ajinkya Kadu, Tristan van Leeuwen
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`	Comparing RSVD and Krylov methods for linear inverse problems. Comput. Geosci. Nick Luiken, Tristan van Leeuwen
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`	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`	Relaxed regularization for linear inverse problems. CoRR Nick Luiken, Tristan van Leeuwen
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	—	`conf`	Data-Driven Modeling for Wave-Propagation. ENUMATH Tristan van Leeuwen, Peter Jan van Leeuwen, Sergiy Zhuk
2018	J	`jnl`	A convex formulation for Discrete Tomography. CoRR Ajinkya Kadu, Tristan van Leeuwen
2018	J	`jnl`	Efficient Quadratic Penalization Through the Partial Minimization Technique. IEEE Trans. Autom. Control. Aleksandr Y. Aravkin, Dmitriy Drusvyatskiy, Tristan van Leeuwen
2018	J	`jnl`	Total Variation Regularization Strategies in Full-Waveform Inversion. SIAM J. Imaging Sci. Ernie Esser, Lluís Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, Felix J. Herrmann
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`	An adjoint-free method to determine conditional nonlinear optimal perturbations. Comput. Geosci. Aleid Oosterwijk, Henk A. Dijkstra, Tristan van Leeuwen
2017	J	`jnl`	Geometric Imaging for Subsurface Salt Bodies. ERCIM News Tristan van Leeuwen, Ajinkya Kadu, Wim A. Mulder
2017	Misc	`conf`	Joint parameter and state estimation for wave-based imaging and inversion. ICASSP Tristan van Leeuwen
2017	J	`jnl`	Salt Reconstruction in Full-Waveform Inversion With a Parametric Level-Set Method. IEEE Trans. Computational Imaging Ajinkya Kadu, Tristan van Leeuwen, Wim A. Mulder
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	J	`jnl`	Salt Reconstruction in Full Waveform Inversion with a Parametric Level-Set Method. CoRR Ajinkya Kadu, Tristan van Leeuwen, Wim A. Mulder
2014	J	`jnl`	3D Frequency-Domain Seismic Inversion with Controlled Sloppiness. SIAM J. Sci. Comput. Tristan van Leeuwen, Felix J. Herrmann
2014	—	`conf`	Adaptive Grid Refinement for Discrete Tomography. DGCI Tristan van Leeuwen, Kees Joost Batenburg
2013	Misc	`conf`	Sparse seismic imaging using variable projection. ICASSP Aleksandr Y. Aravkin, Tristan van Leeuwen, Ning Tu
2012	Misc	`conf`	Robust inversion via semistochastic dimensionality reduction. ICASSP Aleksandr Y. Aravkin, Michael P. Friedlander, Tristan van Leeuwen
2012	J	`jnl`	Robust inversion, dimensionality reduction, and randomized sampling. Math. Program. Aleksandr Y. Aravkin, Michael P. Friedlander, Felix J. Herrmann, Tristan van Leeuwen
2011	J	`jnl`	Robust inversion via semistochastic dimensionality reduction CoRR Aleksandr Y. Aravkin, Michael P. Friedlander, Tristan van Leeuwen
2010	Misc	`conf`	Raising the order of multivariate approximation schemes using supplementary derivative data. ICCS Dirk Kraaijpoel, Tristan van Leeuwen
2009	—	`conf`	Combinatorial Problems in High-Performance Computing: Partitioning. Combinatorial Scientific Computing Rob H. Bisseling, Tristan van Leeuwen, Ümit V. Çatalyürek