Block stochastic gradient descent for large-scale tomographic reconstruction in a parallel network. - Yushan Gao; Ander Biguri; 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)

Numerically robust tetrahedron-based tomographic forward and backward projectors on parallel architectures. - Ander Biguri; Hossein Towsyfyan; Richard P. Boardman; Thomas Blumensath (CoRR, 2019)

Short Scan Source-detector Trajectories for Target-based CBCT. - Sepideh Hatamikia; Ander Biguri; Gernot Kronreif; Tom Russ; Joachim Kettenbach; Wolfgang Birkfellner (EMBC, 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)

Scalable FBP decomposition for cone-beam CT reconstruction. - Peng Chen 035; Mohamed Wahib; Xiao Wang 004; Takahiro Hirofuchi; Hirotaka Ogawa; Ander Biguri; Richard P. Boardman; Thomas Blumensath; Satoshi Matsuoka (SC, 2021)

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 (ITIB, 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 (Image-Guided Procedures, 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)

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 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; et al. (Nat. Mac. Intell., 2023)

Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography (CT) Reconstruction. - Ander Biguri; Subhadip Mukherjee (ICASSP Workshops, 2024)

Continuous Learned Primal Dual. - Christina Runkel; Ander Biguri; Carola-Bibiane Schönlieb (MLSP, 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; et al. (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)

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)

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; et al. (CoRR, 2024)

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)

Smooth Model Compression without Fine-Tuning. - Christina Runkel; Natacha Kuete Meli; Jovita Lukasik; Ander Biguri; Carola-Bibiane Schönlieb; Michael Möller 001 (CoRR, 2025)