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Department of Applied Mathematics and Theoretical Physics

Assistant Research Professor at Cambridge Image Analysis (CIA) group, and lead of Computational Applied Tomography (CAT) group.

I am a translational researcher focusing on mathematics and applications of imaging, particularly in tomography. I have worked mostly on medical and scientific Cone Beam Computed Tomography (CBCT), general CT, and Positron Emission Tomography. I have also done some research on Electrical Impedance Tomography (EIT) and Fermi Tomography, among others. My research efforts are equally divided on:

  • Developing mathematical optimization algorithms (both machine learning based and traditional optimization) for inverse problems in tomography (applied maths). 

  • Developing computational methods, high performance computing solutions, machine learning models and software packages for the algorithms above (computer science). 

  • Applying these methods into real datasets and applications of tomography, and proposing novel uses of tomography enabled by the previous two points (applied science & medicine).

I am the main author and maintainer of TIGRE toolbox  (easy to use and fast optimization algorithms for real CT) and currently I am developing the LION toolbox (reproducible and reliable data-driven tomographic reconstruction methods).

I do supervise and co-supervise MPhil and PhD students across the University, don't hesitate to reach out if you think my research experience can be useful. 

 

 

Publications

DeepCormack: Fermi surface tomography using model-based data-driven algorithms
GFB Lovric, B Drury, C-B Schönlieb, SB Dugdale, A Biguri
(2026)
Design Choices in Splitting-Based Self-Supervised Sparse-View CT Reconstruction
N Gruber, L Neumann, A Biguri, G Hwang, M Haltmeier, J Schwab
(2026)
Real-time CBCT reconstructions using Krylov solvers in repeated scanning procedures.
F Hastings, SM Ragib Shahriar Islam, M Sabaté Landman, S Hatamikia, C-B Schönlieb, A Biguri
– Physics in Medicine & Biology
(2026)
71,
105019
Deep learning based Non-Rigid Volume-to-Surface Registration for Brain Shift compensation Using Point Cloud
EJ Muniya, G Kronreif, A Biguri, W Birkfellner, S Hatamikia
(2026)
No-reference based automatic parameter optimization for iterative reconstruction using a novel search space aware crow search algorithm
P MohammadiNasab, A Biguri, P Steininger, P Keuschnigg, L Lamminger, A Lach, SMRS Islam, A Breger, C Karner, C-B Schönlieb, W Birkfellner, S Hatamikia
(2026)
Learned denoising with simulated and experimental low-dose CT data.
MB Kiss, A Biguri, C-B Schönlieb, KJ Batenburg, F Lucka
– Sci Rep
(2025)
16,
835
LamiGauss: Pitching Radiative Gaussian for Sparse-View X-ray Laminography Reconstruction
C Chen, A Biguri, J-M Morel, RH Chan, C-B Schönlieb, J Li
(2025)
Real-time CBCT reconstructions using Krylov solvers in repeated scanning procedures
F Hastings, SMRS Islam, MS Landman, S Hatamikia, C-B Schönlieb, A Biguri
(2025)
Noisier2Inverse: Self-Supervised Learning for Image Reconstruction With Correlated Noise
N Gruber, J Schwab, M Haltmeier, A Biguri, C Dlaska, G Hwang
– IEEE Access
(2025)
13,
139445
Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam CT Reconstruction
A Biguri, S Mukherjee, X Zhao, X Liu, X Wang, R Yang, Y Du, Y Peng, M Brudfors, M Graham, H Ryu, O Kutter, A Hauptmann, M Al-Rubaye, MT Nieminen, MAK Brix, A Yunker, R Kettimuthu, JC Roeske, S Alavala, S Gorthi, C-B Schnlieb
– IEEE Open Journal of Signal Processing
(2025)
6,
942
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Research Group

Cambridge Image Analysis

Room

F0.08