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Cambridge Image Analysis

Dr Ander Biguri

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

Real-time CBCT reconstructions using Krylov solvers in repeated scanning procedures
F Hastings, SMRS Islam, M Sabate Landman, S Hatamikia, C-B Schönlieb, A Biguri
– Physics in Medicine & Biology
(2026)
(doi: 10.1088/1361-6560/ae676e)
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
(doi: 10.1038/s41598-025-30457-9)
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
(doi: 10.1109/access.2025.3596557)
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
(doi: 10.1109/ojsp.2025.3593189)
Trajectory generation for ROI expansion in dental CBCT imaging: An out-of-FOV ROI annotation guided arc scan-based approach.
SMRS Islam, A Biguri, C Landi, G Di Domenico, P Grün, C Sarti, C-B Schönlieb, D Turhani, G Kronreif, W Birkfellner, S Hatamikia
– Computational and structural biotechnology journal
(2025)
28,
211
(doi: 10.1016/j.csbj.2025.06.013)
A study of why we need to reassess full reference image quality assessment with medical images
A Breger, A Biguri, MS Landman, I Selby, N Amberg, E Brunner, J Gröhl, S Hatamikia, C Karner, L Ning, S Dittmer, M Roberts, AIX-COVNET Collaboration, C-B Schönlieb
– Journal of Imaging Informatics in Medicine
(2025)
38,
3444
(doi: 10.1007/s10278-025-01462-1)
TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets
A Biguri, T Sadakane, R Lindroos, Y Liu, MS Landman, Y Du, M Lohvithee, S Kaser, S Hatamikia, R Bryll, E Valat, S Wonglee, T Blumensath, C-B Schönlieb
– Engineering Research Express
(2025)
7,
015011
(doi: 10.1088/2631-8695/adbb3a)
Source-detector trajectory optimization for FOV extension in dental CBCT imaging
SMRS Islam, A Biguri, C Landi, G Di Domenico, B Schneider, P Grün, C Sarti, R Woitek, A Delmiglio, C-B Schönlieb, D Turhani, G Kronreif, W Birkfellner, S Hatamikia
– Comput Struct Biotechnol J
(2024)
24,
679
(doi: 10.1016/j.csbj.2024.11.010)
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 Schönlieb
(2024)
(doi: 10.36227/techrxiv.172418119.96055599/v1)
Data driven surrogate signal extraction for dynamic PET using selective PCA: time windows versus the combination of components
AC Whitehead, K-H Su, EC Emond, A Biguri, L Brusaferri, M Machado, JC Porter, H Garthwaite, SD Wollenweber, JR McClelland, K Thielemans
– Physics in Medicine & Biology
(2024)
69,
175008
(doi: 10.1088/1361-6560/ad5ef1)
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Research Group

Cambridge Image Analysis

Email

ab2860@cam.ac.uk

Room

F0.08

Personal homepage

http://anderbiguri.github.io/

Study at Cambridge

About the University

Research at Cambridge