Prof Reyer Zwiggelaar
Ir (Groningen), PhD (University College London)

Professor

Head of Department

Academic Dept - Head of Department

Head of the Graduate School (Graduate Centre )

Contact Details

Email: rrz@aber.ac.uk
ORCID: 0000-0002-4360-0896
Office: B61, Llandinam Building
Phone: +44 (0) 1970 628691
Google Scholar: https://scholar.google.co.uk/citations?user=NZldyesAAAAJ
Research Portal Profile

Profile

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

Responsibilities

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.

Teaching

Module Coordinator

Additional Lecturer

Lecturer

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

Research Groups

Publications

Deep Learning in Mammography and Breast Histology, an Overview and Future TrendsHamidinekoo, A., Denton, E. R. E., Rampun, Y. A., Honnor, K. & Zwiggelaar, R. 2018 In : Medical Image Analysis.47, p. 45-6723 p.

A clustering reduction algorithm for fuzzy concept latticeZhang, Q., Qu, Y., Deng, A. & Zwiggelaar, R. 2018 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery. Zhao, L., Wang, L., Cai, G., Li, K., Liu, Y. & Xiao, G. (eds.). IEEE Press, p. 1894-1899

Classification of Micro-calcification in Mammograms using Scalable Linear Fisher Discriminant AnalysisSuhail, Z., Denton, E. R. E. & Zwiggelaar, R. 2018 In : Medical and Biological Engineering and Computing.

Comparison of Image Intensity, Local and Multi-Atlas Priors in Brain Tissue ClassificationWang, L., Labrosse, F. & Zwiggelaar, R. 2017 (Accepted/In press) In : Medical Physics.44, 11, p. 5782-579413 p.

Automated breast ultrasound lesions detection using convolutional neural networksHoon Yap, M., Pons, G., Marti, J., Ganau, S., Sentís, M., Zwiggelaar, R., Davison, A. & Martí, R. 2017 (Accepted/In press) In : IEEE Journal of Biomedical and Health Informatics .

More publications on the Research Portal

Prof Reyer Zwiggelaar Ir (Groningen), PhD (University College London)