Prof Reyer Zwiggelaar

Ir (Groningen), PhD (University College London)

Prof Reyer Zwiggelaar

Professor

Head of Department

Associate Dean - Research, Knowledge Exchange and Innovation

Academic Dept - Head of Department

Head of the Graduate School (Graduate Centre )

Contact Details

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

Research Groups

Publications

Breast ultrasound lesions recognition: end-to-end deep learning approachesHoon Yap, M., Goyal, M., Osman, F., Martí, R., Denton, E., Juette, A. & Zwiggelaar, R. 2018 In : Journal of Medical Imaging.6, 1, 8 p., 011007
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.
More publications on the Research Portal