Prof Reyer Zwiggelaar Ir (Groningen), PhD (University College London)
Professor
- ProfessorDepartment of Computer Science - Teaching And Research
Department of Computer Science
Postal address
Aberystwyth University
Llandinam Building
Penglais
Aberystwyth
Llandinam Building
Penglais
Aberystwyth
United Kingdom of Great Britain and Northern Ireland
Link(s)
ORCID: 0000-0002-4360-0896
- 2021
Single-Input Multi-Output U-Net for Automated 2D Foetal Brain Segmentation of MR Images
Rampun, A., Jarvis, D., Griffiths, P., Zwiggelaar, R., Scotney, B. W. & Armitage, P., 01 Oct 2021, In: Journal of Imaging. 7, 10, 18 p., 200.Research output: Contribution to journal › Article › peer-review
- 2020
DeepPod: A convolutional neural network based quantification of fruit number in Arabidopsis
Hamidinekoo, A., Garzon Martinez, G. A., Ghahremani Boozandani, M., Corke, F., Zwiggelaar, R., Doonan, J. & Lu, C., 04 Mar 2020, In: GigaScience. 9, 3, 13 p., giaa012.Research output: Contribution to journal › Article › peer-review
- 2019
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network
Rampun, A., López-Linares, K., Morrow, P. J., Scotney, B. W., Wang, H., Ocaña, I. G., Maclair, G., Zwiggelaar, R., González Ballester, M. A. & Macía, I., 31 Oct 2019, In: Medical Image Analysis. 57, p. 1-17 17 p.Research output: Contribution to journal › Article › peer-review
- 2018
- E-pub ahead of print
Mammographic mass classification using filter response patches
Suhail, Z., Hamidinekoo, A. & Zwiggelaar, R., 13 Aug 2018, (E-pub ahead of print) In: IET Computer Vision. 12, 8, p. 1060-1066 7 p.Research output: Contribution to journal › Article › peer-review
- 2017
Breast density segmentation based on fusion of super pixels and watershed transform
Surajudeen, A. & Zwiggelaar, R., 16 Mar 2017, In: International Journal of Computer Applications. 161, 12, p. 1-7 7 p.Research output: Contribution to journal › Article › peer-review
- 2016
- Published
Mammographic Segmentation and Density Classification: A Fractal Inspired Approach
He, W., Harvey, S., Juette, A., Denton, E. R. E. & Zwiggelaar, R., 17 Jun 2016, Breast Imaging: 13th International Workshop, IWDM 2016. Tingberg, A., Lång, K. & Timberg, P. (eds.). Springer Nature, p. 359-366 (Lecture Notes in Computer Science; vol. 9699).Research output: Chapter in Book/Report/Conference proceeding › Chapter
Computer-aided diagnosis: Detection and localization of prostate cancer within the peripheral zone
Rampun, Y. A., Chen, Z., Malcolm, P., Tiddeman, B. & Zwiggelaar, R., 27 Apr 2016, In: International Journal for Numerical Methods in Biomedical Engineering. 32, 5, e02745.Research output: Contribution to journal › Article › peer-review
DOI: 10.1002/cnm.2745- 2015
- Published
Unsupervised segmentation for multiple sclerosis lesions in multimodality Magnetic Resonance images
Zeng, Z., Chen, S., Yin, L. & Zwiggelaar, R., 2015, 2015 8th International Conference on BioMedical Engineering and Informatics (BMEI 2015). IEEE Press, p. 126-130Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution
- 2013
Unsupervised Tumour Segmentation in PET using Local and Global Intensity-Fitting Active Surface and Alpha Matting
Zeng, Z., Wang, J., Tiddeman, B. & Zwiggelaar, R., 01 Oct 2013, In: Computers in Biology and Medicine. 43, 10, p. 1530-1544 14 p.Research output: Contribution to journal › Article › peer-review
- 2012
Facial Image Processing in Facial Analysis for Real-Time Profiling
Ugail, H., Yap, M. H., Rajoub, B., Zwiggelaar, R., Doherty, V., Appleyard, S. & Huddy, G., 21 May 2012, p. 5-8. 4 p.Research output: Contribution to conference › Paper