Dr Michael Roberts

Dr Roberts is Senior Research Associate of Applied Mathematics at DAMTP and member of the Cambridge Image Analysis group (CIA) and leads the algorithm development team for the global COVID-19 AIX-COVNET collaboration, see https://covid19ai.maths.cam.ac.uk/.

Career

Positions:

since April 2021: Senior Research Associate at DAMTP, University of Cambridge, UK.

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

since April 2019: 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

Dr Roberts' 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. He has active interdisciplinary collaborations with other applied mathematicians, computer scientists and clinicians focussing on medical imaging problems. He has vast experience in studying medical imaging problems for lung diseases including (but not limited to) lung cancer, idiopathic lung fibrosis, mesothelioma and drug induced interstitial lung disease.

Publications

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, AI Aviles-Rivero, C Etmann, C McCague, L Beer, JR Weir-McCall, Z Teng, E Gkrania-Klotsas, A Ruggiero, A Korhonen, E Jefferson, E Ako, G Langs, G Gozaliasl, G Yang, H Prosch, J Preller, J Stanczuk, J Tang, J Hofmanninger, J Babar, LE Sánchez, M Thillai, PM Gonzalez, P Teare, X Zhu, M Patel, C Cafolla, H Azadbakht, J Jacob, J Lowe, K Zhang, K Bradley, M Wassin, M Holzer, K Ji, MD Ortet, T Ai, N Walton, P Lio, S Stranks, T Shadbahr, W Lin, Y Zha, Z Niu, JHF Rudd, E Sala, CB Schönlieb

– Nature Machine Intelligence

(2021)

199

(DOI: 10.1038/s42256-021-00307-0)

Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events.

EPV Le, L Rundo, JM Tarkin, NR Evans, MM Chowdhury, PA Coughlin, H Pavey, C Wall, F Zaccagna, FA Gallagher, Y Huang, R Sriranjan, A Le, JR Weir-McCall, M Roberts, FJ Gilbert, EA Warburton, C-B Schönlieb, E Sala, JHF Rudd

– Nature Scientific Reports

(2021)

11,

3499

(DOI: 10.1038/s41598-021-82760-w)

Machine churning

M Roberts

– NEW SCIENTIST

(2021)

245,

On an effective multigrid solver for solving a class of variational problems with application to image segmentation

M Roberts, K Chen, J Li, KL Irion

– International Journal of Computer Mathematics

(2019)

97,

2015

(DOI: 10.1080/00207160.2019.1674290)

Chan–Vese Reformulation for Selective Image Segmentation

M Roberts, J Spencer

– Journal of mathematical imaging and vision

(2019)

61,

1173

(DOI: 10.1007/s10851-019-00893-0)

A Convex Geodesic Selective Model for Image Segmentation

M Roberts, K Chen, KL Irion

– Journal of Mathematical Imaging and Vision

(2018)

61,

482

(DOI: 10.1007/s10851-018-0857-2)

Multigrid algorithm based on hybrid smoothers for variational and selective segmentation models

M Roberts, K Chen, KL Irion

– International Journal of Computer Mathematics

(2018)

96,

1623

(DOI: 10.1080/00207160.2018.1494827)

A Classification of Non-Compact Coxeter Polytopes with $n+3$ Facets and One Non-Simple Vertex

M Roberts

(2015)

Cambridge Image Analysis

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