Tristan van Leeuwen

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 43

Top Topics

Linear Inverse Problems

Tomographic Reconstruction

Data Generation

Top Venues

IEEE Trans. Computational Imaging

SIAM J. Sci. Comput.

Publications

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 (2024)
Tianyuan Wang, Felix Lucka, Tristan van Leeuwen
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning. IEEE Trans. Computational Imaging 10 (2024)
Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. Medical Imaging: Image Processing (2023)
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 (2023)
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 (2023)
Tristan van Leeuwen, Andreas Tataris
A data-driven approach to solving a 1D inverse scattering problem. CoRR (2023)
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 (2023)
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)
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 (2023)
Tianyuan Wang, Felix Lucka, Tristan van Leeuwen
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning. CoRR (2023)
Rafael Orozco, Mathias Louboutin, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification. CoRR (2023)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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) (2021)
Georgios Pilikos, Chris L. de Korte, Tristan van Leeuwen, Felix Lucka
Single Plane-Wave Imaging using Physics-Based Deep Learning. CoRR (2021)
Tristan van Leeuwen, Aleksandr Y. Aravkin
Variable Projection for NonSmooth Problems. SIAM J. Sci. Comput. 43 (5) (2021)
Georgios Pilikos, Lars Horchens, Tristan van Leeuwen, Felix Lucka
Deep Learning for Multi-View Ultrasonic Image Fusion. CoRR (2021)
Nick Luiken, Tristan van Leeuwen
Relaxed Regularization for Linear Inverse Problems. SIAM J. Sci. Comput. 43 (5) (2021)
Gabrio Rizzuti, Tristan van Leeuwen
WaRIance: wavefield reconstruction inversion with stochastic variable projection. CoRR (2021)
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 (2021)
Mathé T. Zeegers, Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography. CoRR (2021)
Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg
CoShaRP: A Convex Program for Single-shot Tomographic Shape Sensing. CoRR (2020)
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) (2020)
Georgios Pilikos, Lars Horchens, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka
Deep data compression for approximate ultrasonic image formation. CoRR (2020)
Nick Luiken, Tristan van Leeuwen
Relaxed regularization for linear inverse problems. CoRR (2020)
Nick Luiken, Tristan van Leeuwen
Comparing RSVD and Krylov methods for linear inverse problems. Comput. Geosci. 137 (2020)
Ajinkya Kadu, Tristan van Leeuwen
A Convex Formulation for Binary Tomography. IEEE Trans. Computational Imaging 6 (2020)
Georgios Pilikos, Lars Horchens, Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka
Fast ultrasonic imaging using end-to-end deep learning. CoRR (2020)
Tristan van Leeuwen, Peter Jan van Leeuwen, Sergiy Zhuk
Data-Driven Modeling for Wave-Propagation. ENUMATH (2019)
Ajinkya Kadu, Tristan van Leeuwen
A convex formulation for Discrete Tomography. CoRR (2018)
Aleksandr Y. Aravkin, Dmitriy Drusvyatskiy, Tristan van Leeuwen
Efficient Quadratic Penalization Through the Partial Minimization Technique. IEEE Trans. Autom. Control. 63 (7) (2018)
Ernie Esser, Lluis Guasch, Tristan van Leeuwen, Aleksandr Y. Aravkin, Felix J. Herrmann
Total Variation Regularization Strategies in Full-Waveform Inversion. SIAM J. Imaging Sci. 11 (1) (2018)
Tristan van Leeuwen, Ajinkya Kadu, Wim A. Mulder
Geometric Imaging for Subsurface Salt Bodies. ERCIM News 2017 (108) (2017)
Aleid Oosterwijk, Henk A. Dijkstra, Tristan van Leeuwen
An adjoint-free method to determine conditional nonlinear optimal perturbations. Comput. Geosci. 106 (2017)
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) (2017)
Tristan van Leeuwen
Joint parameter and state estimation for wave-based imaging and inversion. ICASSP (2017)
Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg
A parametric level-set method for partially discrete tomography. CoRR (2017)
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) (2017)
Ajinkya Kadu, Tristan van Leeuwen, Kees Joost Batenburg
A Parametric Level-Set Method for Partially Discrete Tomography. DGCI (2017)
Ajinkya Kadu, Tristan van Leeuwen, Wim A. Mulder
Salt Reconstruction in Full Waveform Inversion with a Parametric Level-Set Method. CoRR (2016)
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) (2016)
Tristan van Leeuwen, Kees Joost Batenburg
Adaptive Grid Refinement for Discrete Tomography. DGCI (2014)
Tristan van Leeuwen, Felix J. Herrmann
3D Frequency-Domain Seismic Inversion with Controlled Sloppiness. SIAM J. Sci. Comput. 36 (5) (2014)
Aleksandr Y. Aravkin, Tristan van Leeuwen, Ning Tu
Sparse seismic imaging using variable projection. ICASSP (2013)
Aleksandr Y. Aravkin, Michael P. Friedlander, Tristan van Leeuwen
Robust inversion via semistochastic dimensionality reduction. ICASSP (2012)
Aleksandr Y. Aravkin, Michael P. Friedlander, Felix J. Herrmann, Tristan van Leeuwen
Robust inversion, dimensionality reduction, and randomized sampling. Math. Program. 134 (1) (2012)
Aleksandr Y. Aravkin, Michael P. Friedlander, Tristan van Leeuwen
Robust inversion via semistochastic dimensionality reduction CoRR (2011)
Dirk Kraaijpoel, Tristan van Leeuwen
Raising the order of multivariate approximation schemes using supplementary derivative data. ICCS (1) (2010)
Rob H. Bisseling, Tristan van Leeuwen, Ümit V. Çatalyürek
Combinatorial Problems in High-Performance Computing: Partitioning. Combinatorial Scientific Computing (2009)