Prof Reyer Zwiggelaar

Ir (Groningen), PhD (University College London)

Prof Reyer Zwiggelaar


Department of Computer Science

Head of the Graduate School (Graduate Centre )

Graduate School

Contact Details


Reyer Zwiggelaar received the Ir. Degree in Applied Physics from the State University Groningen, Groningen, The Netherlands, in 1989, and the Ph.D. Degree in Electronic and Electrical Engineering from the University College London, London, UK, in 1993. He is currently a Professor at the Department of Computer Science, Aberystwyth University, UK. He is the author or co-author of more than 180 conference and journal papers. His current research interests include Medical Image Understanding, especially Focusing on Mammographic and Prostate Data, Pattern Recognition, Statistical Methods, Texture-Based Segmentation, and Feature-Detection Techniques.

Additional Information


As Head of the Graduate School, Professor Reyer Zwiggelaar is responsible for the provision of postgraduate education within the University as a whole, and also has a coordinating role in relation to the development of policy on postgraduate matters; the provision of facilities for postgraduates; and the monitoring of academic progress of postgraduate students.


Module Coordinator
Blackboard Dept Admin
Additional Lecturer

Professor of the Department of Computer Science, Aberystwyth University, UK.

Research Groups


Rampun, A, López-Linares, K, Morrow, PJ, Scotney, BW, Wang, H, Ocaña, IG, Maclair, G, Zwiggelaar, R, González Ballester, MA & Macía, I 2019, 'Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network' Medical Image Analysis, vol. 57, pp. 1-17.
Alam, N, Denton, ERE & Zwiggelaar, R 2019, 'Classification of microcalcification clusters in digital mammograms using a stack generalization based classifier' Journal of Imaging, vol. 5, no. 9, 76.
George, M & Zwiggelaar, R 2019, 'Comparative Study on Local Binary Patterns for Mammographic Density and Risk Scoring' Journal of Imaging, vol. 5, no. 2, 24.
Qu, Y, Yue, G, Shang, C, Yang, L, Zwiggelaar, R & Shen, Q 2019, 'Multi-Criterion Mammographic Risk Analysis Supported with Multi-Label Fuzzy-Rough Feature Selection' Artificial Intelligence in Medicine, vol. 100, 101722.
George, M, Chen, Z & Zwiggelaar, R 2019, 'Multiscale connected chain topological modelling for microcalcification classification' Computers in Biology and Medicine, vol. 114, 103422.
More publications on the Research Portal