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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

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
Smooth Model Compression without Fine-Tuning
C Runkel, NK Meli, J Lukasik, A Biguri, C-B Schönlieb, M Moeller
(2025)
Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noise
N Gruber, J Schwab, M Haltmeier, A Biguri, C Dlaska, G Hwang
(2025)
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
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)
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Research Group

Cambridge Image Analysis

Room

F0.08