Ander Biguri

According to our database, Ander Biguri authored at least 23 papers between 2019 and 2026.

Collaborative distances:

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

2026

Deep learning based Non-Rigid Volume-to-Surface Registration for Brain Shift compensation Using Point Cloud.

Eashrat Jahan Muniya, Gernot Kronreif, Ander Biguri, Wolfgang Birkfellner, Sepideh Hatamikia

CoRR, April, 2026

No-reference based automatic parameter optimization for iterative reconstruction using a novel search space aware crow search algorithm.

Poorya MohammadiNasab, Ander Biguri, Philipp Steininger, Peter Keuschnigg, Lukas Lamminger, Agnieszka Lach, S. M. Ragib Shahriar Islam, Anna Breger, Clemens Karner, Carola-Bibiane Schönlieb, Wolfgang Birkfellner, Sepideh Hatamikia

CoRR, April, 2026

2025

LamiGauss: Pitching Radiative Gaussian for Sparse-View X-ray Laminography Reconstruction.

Chu Chen, Ander Biguri, Jean-Michel Morel, Raymond H. Chan, Carola-Bibiane Schönlieb, Jizhou Li

CoRR, September, 2025

Real-time CBCT reconstructions using Krylov solvers in repeated scanning procedures.

Fred Vickers Hastings, S. M. Ragib Shahriar Islam, Malena Sabaté Landman, Sepideh Hatamikia, Carola-Bibiane Schönlieb, Ander Biguri

CoRR, September, 2025

Smooth Model Compression without Fine-Tuning.

Christina Runkel, Natacha Kuete Meli, Jovita Lukasik, Ander Biguri, Carola-Bibiane Schönlieb, Michael Möller

CoRR, May, 2025

Noisier2Inverse: Self-Supervised Learning for Image Reconstruction With Correlated Noise.

Nadja Gruber, Johannes Schwab, Markus Haltmeier, Ander Biguri, Clemens Dlaska, Gyeongha Hwang

IEEE Access, 2025

2024

TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets.

Ander Biguri, Tomoyuki Sadakane, Reuben Lindroos, Yi Liu, Malena Sabaté Landman, Yi Du, Manasavee Lohvithee, Stefanie Kaser, Sepideh Hatamikia, Robert Bryll, Emilien Valat, Sarinrat Wonglee, Thomas Blumensath, Carola-Bibiane Schönlieb

CoRR, 2024

Benchmarking learned algorithms for computed tomography image reconstruction tasks.

Maximilian B. Kiss, Ander Biguri, Zakhar Shumaylov, Ferdia Sherry, Kees Joost Batenburg, Carola-Bibiane Schönlieb, Felix Lucka

CoRR, 2024

Learned denoising with simulated and experimental low-dose CT data.

Maximilian B. Kiss, Ander Biguri, Carola-Bibiane Schönlieb, Kees Joost Batenburg, Felix Lucka

CoRR, 2024

A study of why we need to reassess full reference image quality assessment with medical images.

Anna Breger, Ander Biguri, Malena Sabaté Landman, Ian Selby, Nicole Amberg, Elisabeth Brunner, Janek Gröhl, Sepideh Hatamikia, Clemens Karner, Lipeng Ning, Sören Dittmer, Michael Roberts, AIX-COVNET Collaboration, Carola-Bibiane Schönlieb

CoRR, 2024

Continuous Learned Primal Dual.

Christina Runkel, Ander Biguri, Carola-Bibiane Schönlieb

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography (CT) Reconstruction.

Ander Biguri, Subhadip Mukherjee

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Navigating the development challenges in creating complex data systems.

Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily R. Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb

Nat. Mac. Intell., July, 2023

2022

On Krylov Methods for Large Scale CBCT Reconstruction.

Malena Sabate Landman, Ander Biguri, Sepideh Hatamikia, Richard P. Boardman, John A. D. Aston, Carola-Bibiane Schönlieb

CoRR, 2022

Navigating the challenges in creating complex data systems: a development philosophy.

Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, AIX-COVNET Collaboration, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb

CoRR, 2022

Possibility assessment of CBCT metal artifact reduction based on PICCS reconstruction and trajectory optimization.

Sepideh Hatamikia, Ander Biguri, Gernot Kronreif, Joachim Kettenbach, Tom Russ, Wolfgang Birkfellner

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Comparison of Analytical and Iterative Algorithms for Reconstruction of Microtomographic Phantom Images and Rat Mandibular Scans.

Pawel Lipowicz, Agnieszka Dardzinska-Glebocka, Marta Borowska, Ander Biguri

Proceedings of the Information Technology in Biomedicine - 9th International Conference, 2022

2021

Scalable FBP decomposition for cone-beam CT reconstruction.

Peng Chen, Mohamed Wahib, Xiao Wang, Takahiro Hirofuchi, Hirotaka Ogawa, Ander Biguri, Richard P. Boardman, Thomas Blumensath, Satoshi Matsuoka

Proceedings of the International Conference for High Performance Computing, 2021

2020

Arbitrarily large tomography with iterative algorithms on multiple GPUs using the TIGRE toolbox.

Ander Biguri, Reuben Lindroos, Robert Bryll, Hossein Towsyfyan, Hans Deyhle, Ibrahim El Khalil Harrane, Richard P. Boardman, Mark Mavrogordato, Manjit Dosanjh, Steven Hancock, Thomas Blumensath

J. Parallel Distributed Comput., 2020

Short Scan Source-detector Trajectories for Target-based CBCT.

Sepideh Hatamikia, Ander Biguri, Gernot Kronreif, Tom Russ, Joachim Kettenbach, Wolfgang Birkfellner

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Numerically robust tetrahedron-based tomographic forward and backward projectors on parallel architectures.

Ander Biguri, Hossein Towsyfyan, Richard P. Boardman, Thomas Blumensath

CoRR, 2019

Arbitrarily large iterative tomographic reconstruction on multiple GPUs using the TIGRE toolbox.

Ander Biguri, Reuben Lindroos, Robert Bryll, Hossein Towsyfyan, Hans Deyhle, Richard P. Boardman, Mark Mavrogordato, Manjit Dosanjh, Steven Hancock, Thomas Blumensath

CoRR, 2019

Block stochastic gradient descent for large-scale tomographic reconstruction in a parallel network.

Yushan Gao, Ander Biguri, Thomas Blumensath

CoRR, 2019