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Department of Applied Mathematics and Theoretical Physics

Dr Michael Roberts

Mike Roberts is Principal Research Associate (Reader / Professor Grade 11) at DAMTP and also at the Department of Medicine. He is a member of the Cambridge Image Analysis group (CIA), leads the BloodCounts! consortium (https://www.bloodcounts.org/) and also leads the algorithm development team for the global COVID-19 AIX-COVNET collaboration (https://covid19ai.maths.cam.ac.uk/).

Career

Positions:

October 2023 onwards: Principal Research Associate at DAMTP and Department of Medicine, University of Cambridge, UK.

April 2021 to September 2023: Senior Research Associate at DAMTP, University of Cambridge, UK.

March 2020 to March 2021: Research Associate at DAMTP, University of Cambridge, UK.

April 2019 to July 2022: Postdoctoral Fellow at AstraZeneca, Cambridge, UK

Education:

July 2019: Doctor of Philosophy, University of Liverpool, UK

June 2015: Master’s degree in Mathematics with Honors, Durham University, UK

Research

Mike's research interests focus on variational methods for image processing (in particular image segmentation and registration), machine learning for image and data analysis, image processing and data analysis. More recently, he has been focussing on best practice and scientific integrity in machine learning and data science, in particular for understanding the crisis of reproducibility affecting these fields. He has active interdisciplinary collaborations with other applied mathematicians, computer scientists and clinicians focussing on medical imaging problems. He has vast experience in studying high-dimensional data and medical imaging problems for lung diseases including (but not limited to) lung cancer, idiopathic lung fibrosis, mesothelioma and drug induced interstitial lung disease.

Publications

Artificial Intelligence for Pre-Anaemic Iron Deficiency Detection Using Rich Complete Blood Count Data
D Kreuter, J Taylor, S Deltadahl, M Besser, JR Bradley, J Gilbey, S Kaptoge, N Kingston, WH Ouwehand, D Roberts, O Shamardina, KE Stirrups, D Swinkels, D Vuckovic, JHF Rudd, ED Angelantonio, C-B Schönlieb, P Nachev, S Sivapalaratnam, NS Gleadall, M Roberts
(2025)
(doi: 10.1101/2025.06.18.25329494)
Review and recommendations for using artificial intelligence in intracoronary optical coherence tomography analysis
X Chen, Y Huang, B Jessney, J Sangha, S Gu, C-B Schönlieb, M Bennett, M Roberts
– European Heart Journal - Digital Health
(2025)
ztaf053
(doi: 10.1093/ehjdh/ztaf053)
On the caveats of AI autophagy
X Xing, F Shi, J Huang, Y Wu, Y Nan, S Zhang, Y Fang, M Roberts, CB Schönlieb, J Del Ser, G Yang
– Nature Machine Intelligence
(2025)
7,
172
(doi: 10.1038/s42256-025-00984-1)
A Pipeline for Automated Quality Control of Chest Radiographs
IA Selby, E González Solares, A Breger, M Roberts, L Escudero Sánchez, J Babar, JHF Rudd, NA Walton, E Sala, C-B Schönlieb, JR Weir-McCall, AIX-COVNET Collaboration, members of the AIX-COVNET collaboration
– Radiology: Artificial Intelligence
(2025)
7,
e240003
(doi: 10.1148/ryai.240003)
Review and Recommendations for using Artificial Intelligence in Intracoronary Optical Coherence Tomography Analysis
X Chen, Y Huang, B Jessney, J Sangha, S Gu, C-B Schönlieb, M Bennett, M Roberts
(2025)
(link to publication)
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
(2024)
(link to publication)
A study on the adequacy of common IQA measures for medical images
A Breger, C Karner, I Selby, J Gröhl, S Dittmer, E Lilley, J Babar, J Beckford, TR Else, TJ Sadler, S Shahipasand, A Thavakumar, M Roberts, C-B Schönlieb
– Springer Lecture Notes in Electrical Engineering, MICAD conference (2024)
(2024)
(link to publication)
REFORMS: Consensus-based Recommendations for Machine-learning-based Science.
S Kapoor, EM Cantrell, K Peng, TH Pham, CA Bail, OE Gundersen, JM Hofman, J Hullman, MA Lones, MM Malik, P Nanayakkara, RA Poldrack, ID Raji, M Roberts, MJ Salganik, M Serra-Garcia, BM Stewart, G Vandewiele, A Narayanan
– Science advances
(2024)
10,
eadk3452
(doi: 10.1126/sciadv.adk3452)
Correction to: The curious case of the test set AUROC (Nature Machine Intelligence, (2024), 6, 4, (373-376), 10.1038/s42256-024-00817-7)
M Roberts, A Hazan, S Dittmer, JHF Rudd, CB Schönlieb
– Nature Machine Intelligence
(2024)
6,
494
(doi: 10.1038/s42256-024-00834-6)
Non-contact, portable, and stand-off infrared thermal imager for security scanning applications
WL Khor, YK Chen, M Roberts, F Ciampa
– AIP Advances
(2024)
14,
045314
(doi: 10.1063/5.0188862)
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Research Group

Cambridge Image Analysis

Email

mr808@dpmms.cam.ac.uk

Room

F1.13

Telephone

01223 760390

Study at Cambridge

About the University

Research at Cambridge