Tristan van Leeuwen

According to our database, Tristan van Leeuwen authored at least 46 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning.

Tianyuan Wang, Felix Lucka, Tristan van Leeuwen

IEEE Trans. Computational Imaging, 2024

Data-Driven Discovery of Mechanical Models Directly From MRI Spectral Data.

David G. J. Heesterbeek, Max H. C. van Riel, Tristan van Leeuwen, Cornelis A. T. van den Berg, Alessandro Sbrizzi

IEEE Trans. Computational Imaging, 2024

Task-Adaptive Angle Selection for Computed Tomography-Based Defect Detection.

Tianyuan Wang, Virginia Florian, Richard Schielein, Christian Kretzer, Stefan Kasperl, Felix Lucka, Tristan van Leeuwen

J. Imaging, 2024

AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution.

Wangduo Xie, Richard Schoonhoven, Tristan van Leeuwen, Matthew B. Blaschko

CoRR, 2024

Experimental Validation of Ultrasound Beamforming with End-to-End Deep Learning for Single Plane Wave Imaging.

Ryan A. L. Schoop, Gijs A. G. M. Hendriks, Tristan van Leeuwen, Chris L. de Korte, Felix Lucka

CoRR, 2024

2023

Time-Resolved Reconstruction of Motion, Force, and Stiffness Using Spectro-Dynamic MRI.

Max H. C. van Riel, Tristan van Leeuwen, Cornelis A. T. van den Berg, Alessandro Sbrizzi

IEEE Trans. Computational Imaging, 2023

Inside out: Fusing 3D imaging modalities for the internal and external investigation of multi-material museum objects.

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

Digit. Appl. Archaeol. Cult. Heritage, 2023

2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning.

Maximilian B. Kiss, Sophia Bethany Coban, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka

CoRR, 2023

Quantifying the effect of X-ray scattering for data generation in real-time defect detection.

Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg

CoRR, 2023

A data-driven approach to solving a 1D inverse scattering problem.

Tristan van Leeuwen, Andreas Tataris

CoRR, 2023

Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification.

Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification.

Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix Johan Herrmann

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

TOP-CT: Trajectory With Overlapping Projections X-Ray Computed Tomography.

Dirk Elias Schut, Kees Joost Batenburg, Robert van Liere, Tristan van Leeuwen

IEEE Trans. Computational Imaging, 2022

Joint Retrospective Motion Correction and Reconstruction for Brain MRI With a Reference Contrast.

Gabrio Rizzuti, Alessandro Sbrizzi, Tristan van Leeuwen

IEEE Trans. Computational Imaging, 2022

A tomographic workflow to enable deep learning for X-ray based foreign object detection.

Mathé T. Zeegers, Tristan van Leeuwen, Daniël Maria Pelt, Sophia Bethany Coban, Robert van Liere, Kees Joost Batenburg

Expert Syst. Appl., 2022

2021

Relaxed Regularization for Linear Inverse Problems.

Nick Luiken, Tristan van Leeuwen

SIAM J. Sci. Comput., 2021

Variable Projection for NonSmooth Problems.

Tristan van Leeuwen, Aleksandr Y. Aravkin

SIAM J. Sci. Comput., 2021

Unsupervised Foreign Object Detection Based on Dual-Energy Absorptiometry in the Food Industry.

Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, Kees Joost Batenburg

J. Imaging, 2021

ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography.

Mathé T. Zeegers, Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg

CoRR, 2021

WaRIance: wavefield reconstruction inversion with stochastic variable projection.

Gabrio Rizzuti, Tristan van Leeuwen

CoRR, 2021

Single Plane-Wave Imaging using Physics-Based Deep Learning.

Georgios Pilikos, Chris L. de Korte, Tristan van Leeuwen, Felix Lucka

CoRR, 2021

Deep Learning for Multi-View Ultrasonic Image Fusion.

Georgios Pilikos, Lars Horchens, Tristan van Leeuwen, Felix Lucka

CoRR, 2021

2020

A Convex Formulation for Binary Tomography.

Ajinkya Kadu, Tristan van Leeuwen

IEEE Trans. Computational Imaging, 2020

Task-Driven Learned Hyperspectral Data Reduction Using End-to-End Supervised Deep Learning.

Mathé T. Zeegers, Daniël Maria Pelt, Tristan van Leeuwen, Robert van Liere, Kees Joost Batenburg

J. Imaging, 2020

Comparing RSVD and Krylov methods for linear inverse problems.

Nick Luiken, Tristan van Leeuwen

Comput. Geosci., 2020

CoShaRP: A Convex Program for Single-shot Tomographic Shape Sensing.

Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg

CoRR, 2020

Deep data compression for approximate ultrasonic image formation.

Georgios Pilikos, Lars Horchens, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka

CoRR, 2020

Fast ultrasonic imaging using end-to-end deep learning.

Georgios Pilikos, Lars Horchens, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka

CoRR, 2020

2019

Data-Driven Modeling for Wave-Propagation.

Tristan van Leeuwen, Peter Jan van Leeuwen, Sergiy Zhuk

Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019

2018

Efficient Quadratic Penalization Through the Partial Minimization Technique.

Aleksandr Y. Aravkin, Dmitriy Drusvyatskiy, Tristan van Leeuwen

IEEE Trans. Autom. Control., 2018

Total Variation Regularization Strategies in Full-Waveform Inversion.

Ernie Esser, Lluís Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, Felix J. Herrmann

SIAM J. Imaging Sci., 2018

A convex formulation for Discrete Tomography.

Ajinkya Kadu, Tristan van Leeuwen

CoRR, 2018

2017

A Novel Tomographic Reconstruction Method Based on the Robust Student's t Function For Suppressing Data Outliers.

Daniil Kazantsev, Folkert Bleichrodt, Tristan van Leeuwen, Anders Kaestner, Philip J. Withers, Kees Joost Batenburg, Peter D. Lee

IEEE Trans. Computational Imaging, 2017

Salt Reconstruction in Full-Waveform Inversion With a Parametric Level-Set Method.

Ajinkya Kadu, Tristan van Leeuwen, Wim A. Mulder

IEEE Trans. Computational Imaging, 2017

An adjoint-free method to determine conditional nonlinear optimal perturbations.

Aleid Oosterwijk, Henk A. Dijkstra, Tristan van Leeuwen

Comput. Geosci., 2017

Geometric Imaging for Subsurface Salt Bodies.

Tristan van Leeuwen, Ajinkya Kadu, Wim A. Mulder

ERCIM News, 2017

Joint parameter and state estimation for wave-based imaging and inversion.

Tristan van Leeuwen

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A Parametric Level-Set Method for Partially Discrete Tomography.

Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg

Proceedings of the Discrete Geometry for Computer Imagery, 2017

2016

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

Folkert Bleichrodt, Tristan van Leeuwen, Willem Jan Palenstijn, Wim van Aarle, Jan Sijbers, Kees Joost Batenburg

Numer. Algorithms, 2016

2014

3D Frequency-Domain Seismic Inversion with Controlled Sloppiness.

Tristan van Leeuwen, Felix J. Herrmann

SIAM J. Sci. Comput., 2014

Adaptive Grid Refinement for Discrete Tomography.

Tristan van Leeuwen, Kees Joost Batenburg

Proceedings of the Discrete Geometry for Computer Imagery, 2014

2013

Sparse seismic imaging using variable projection.

Aleksandr Y. Aravkin, Tristan van Leeuwen, Ning Tu

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Robust inversion, dimensionality reduction, and randomized sampling.

Aleksandr Y. Aravkin, Michael P. Friedlander, Felix J. Herrmann, Tristan van Leeuwen

Math. Program., 2012

Robust inversion via semistochastic dimensionality reduction.

Aleksandr Y. Aravkin, Michael P. Friedlander, Tristan van Leeuwen

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2010

Raising the order of multivariate approximation schemes using supplementary derivative data.

Dirk Kraaijpoel, Tristan van Leeuwen

Proceedings of the International Conference on Computational Science, 2010

2009

Combinatorial Problems in High-Performance Computing: Partitioning.

Rob H. Bisseling, Tristan van Leeuwen, Ümit V. Çatalyürek

Proceedings of the Combinatorial Scientific Computing, 01.02. - 06.02.2009, 2009