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Faculty of Mathematics

 

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

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, A-C Collaboration, C-B Schönlieb
(2025)
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
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
(2024)
Benchmarking learned algorithms for computed tomography image reconstruction tasks
MB Kiss, A Biguri, Z Shumaylov, F Sherry, KJ Batenburg, C-B Schönlieb, F Lucka
(2024)
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
– Computational and Structural Biotechnology Journal
(2024)
24,
679
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)
Learned denoising with simulated and experimental low-dose CT data
MB Kiss, A Biguri, C-B Schönlieb, KJ Batenburg, F Lucka
(2024)
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 and biology
(2024)
69,
175008
Continuous Learned Primal Dual
C Runkel, A Biguri, C-B Schönlieb
(2024)
On Krylov methods for large-scale CBCT reconstruction.
M Sabaté Landman, A Biguri, S Hatamikia, R Boardman, J Aston, C-B Schönlieb
– Physics in Medicine and Biology
(2023)
68,
155008
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Research Group

Cambridge Image Analysis

Room

F0.08