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

Professor

Head of the Graduate School

Director of Research (IMPACS)

Contact Details

Room Number..........:  B61
Building....................:  Llandinam
Phone.......................:   +44 (0)1970 628691
E-Mail........................:   rrz
External Publication Websites:
Google Scholar
ResearchGate

Biography

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.

Research Groups

Teaching Areas

Modules Taught

  • MAM5120: Statistical Concepts, Methods and Tools
  • MOR0510: Dulliau Darllen
  • MOR9005: Moeseg, Llenladrata ac Ymarfer Academaidd ar gyfer Myfyrwyr Ymchwil
  • PGM1010: Quantitative Data Collection and Analysis
  • PGM2210: Research Skills and Personal Development (Arts and Humanities) (2210)
  • PGM2310: Research Skills and Personal Development (Science) (2310)
  • PGM2400: Research Seminar Skills in the Life Sciences
  • PGM2410: Research Seminar Skills in the Life Sciences
  • PGM2510: Grants Development Workshops
  • PGM2600: Reading and Writing Development Group
  • PGM2610: Reading and Writing Development Group
  • PGM2910: Research Writing Programme
  • PGM3310: Entrepreneurship for Research Students
  • PGM4005: Ethics, Plagiarism and Academic Practice for Research Students
  • PGM4310: Quantitative Data Collection and Analysis
  • PGM4710: Research Skills and Personal Development (Arts and Humanities) (2210)
  • PGM9005: Ethics, Plagiarism and Academic Practice for Research Students

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.
Classification of Micro-calcification in Mammograms using Scalable Linear Fisher Discriminant AnalysisSuhail, Z., Denton, E. R. E. & Zwiggelaar, R. 2017 (Accepted/In press) 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 .
Tree-based modelling for the classification of mammographic benign and malignant micro-calcification clustersSuhail, Z., Denton, E. R. E. & Zwiggelaar, R. 2017 In : Multimedia Tools and Applications.
Breast density segmentation based on fusion of super pixels and watershed transformSurajudeen, A. & Zwiggelaar, R. 2017 In : International Journal of Computer Applications.161, 12, p. 1-77 p.
Classification of mammorgraphic microcalcification clusters using a combination of topological and location modellingAshiru, O. & Zwiggelaar, R. 2017 6th International Conference on Image Processing Theory: Tools and Applications. Pietikainen, M., Hadid, A. & Lopez, M. B. (eds.). IEEE Press, 7820986
Computer aided diagnosis of prostate cancer: A texton based approachRampun, Y. A., Tiddeman, B., Zwiggelaar, R. & Malcolm, P. 2016 In : Medical Physics.43, 10, 5412
A review on brain structures segmentation in magnetic resonance imagingGonzález-Villà, S., Oliver, A., Valverde, S., Wang, L., Zwiggelaar, R. & Lladó, X. 2016 In : Artificial Intelligence in Medicine.73, p. 45-69
Fixing the root node: Efficient tracking and detection of 3D human pose through local solutionsDaubney, B., Xie, X., Deng, J., MacParthalain, N. & Zwiggelaar, R. 2016 In : Image and Vision Computing.52, p. 73-8714 p.
A Quantatiitive Study of Texture Features across Different Window Sizes in Prostate T2-weighted MRIRampun, A., Wang, L., Malcolm, P. & Zwiggelaar, R. 2016 In : Procedia Computer Science.90, p. 74-796 p.
Mammographic Ellispe Modelling for Risk EstimationGeorge, M., Denton, E. & Zwiggelaar, R. 2016 In : Procedia Computer Science.90, p. 163-1686 p.
Mammographic Segmentation and Density Classification: A Fractal Inspired ApproachHe, W., Harvey, S., Juette, A., Denton, E. R. E. & Zwiggelaar, R. 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)
Computer-aided detection of prostate cancer in T2-weighted MRI within the peripheral zoneRampun, A., Zheng, L., Malcolm, P., Tiddeman, B. & Zwiggelaar, R. 2016 In : Physics in Medicine and Biology.61, 3, p. 4796-4825
Computer-aided diagnosis: Detection and localization of prostate cancer within the peripheral zoneRampun, Y. A., Chen, Z., Malcolm, P., Tiddeman, B. & Zwiggelaar, R. 2016 In : International Journal for Numerical Methods in Biomedical Engineering.32, 5
Image-based phenotyping to measure plant diversity and performanceDoonan, J., Boyle, R., Han, J., Williams, K. S., Alcalde Barrios, A., Strange, H., Corke, F., Nibau, C., Scotson, C. P., Camargo-Rodriguez, A., Zwiggelaar, R., Sturrock, C. & Mooney, S. 2016
Breast Image Pre-processing For Mammographic Tissue SegmentationHe, W., Hogg, P., Juette, A., Denton, E. R. E. & Zwiggelaar, R. 2015 In : Computers in Biology and Medicine.67, p. 61-7313 p.
Piecewise-Linear Manifold Learning: A Heuristic Approach to Nonlinear Dimensionality ReductionStrange, H. & Zwiggelaar, R. 2015 In : Intelligent Data Analysis.19, 6, p. 1213-1232
A review on automatic mammographic density and parenchymal segmentationHe, W., Juette, A., Denton, E. R. E., Oliver, A., Marti, R. & Zwiggelaar, R. 2015 In : International Journal of Breast Cancer.2015, p. 1-3131 p., 276217
Topological Modelling and Classification of Mammographic Microcalcification ClustersChen, Z., Strange, H., Oliver, A., Denton, E. R. E., Boggis, C. R. M. & Zwiggelaar, R. 2015 In : IEEE Transactions on Biomedical Engineering.62, 4, p. 1203-121412 p.
Automatic Estimation of Wheat Grain Morphometry from CT DataStrange, H., Zwiggelaar, R., Sturrock, C., Mooney, S. & Doonan, J. 2015 In : Functional Plant Biology.42, p. 452-4598 p.
Unsupervised segmentation for multiple sclerosis lesions in multimodality Magnetic Resonance imagesZeng, Z., Chen, S., Yin, L. & Zwiggelaar, R. 2015 2015 8th International Conference on BioMedical Engineering and Informatics (BMEI 2015).IEEE Press, p. 126-130
Modelling cancer riskZwiggelaar, R., Denton, E. R. E. & Strange, H. 2014 In : International Innovation.165, p. 73-753 p.
Modelling mammographic microcalcification clusters using persistent mereotopologyStrange, H. G., Chen, Z., Denton, E. R. E. & Zwiggelaar, R. 2014 In : Pattern Recognition Letters.47, p. 157-1637 p.
Breast peripheral area correction in digital mammogramsTortajada, M., Oliver, A., Martí, R., Ganau, S., Tortajada, L., Sentís, M., Freixenet, J. & Zwiggelaar, R. 2014 In : Computers in Biology and Medicine.50, p. 32-409 p.
Thermal Facial Analysis for Deception DetectionAl-Rjoub, B. A. & Zwiggelaar, R. 2014 In : IEEE Transactions on Information Forensics and Security.9, 6, p. 1015-10239 p.
Detection of Prostate Abnormality within the Peripheral Zone Using Grey Level DistributionRampun, Y. A., Malcolm, P. & Zwiggelaar, R. 2014 In : International Journal of Image and Graphics.2, 1, p. 15-217 p.
Facial Behavioral Analysis: A Case Study in Deception DetectionHoon Yap, M., Ugail, H. & Zwiggelaar, R. 2014 In : British Journal of Applied Science and Technology.4, 10, p. 1485-149612 p.
Image Based Tissue Segmentation: Towards the Automation of Mammographic Risk AssessmentZwiggelaar, R., Strange, H. G., He, W., Chen, Z., Kshirasagar, A. & Denton, E. R. E. 2014 Oncology News, 9, p. 12-154 p.
Open Problems in Spectral Dimensionality ReductionStrange, H. G. & Zwiggelaar, R. 2014 Springer Nature. 92 p.
Myofibre Segmentation in H&E Stained Adult Skeletal Muscle Images using Coherence-Enhancing Diffusion FilteringStrange, H., Scott, I. & Zwiggelaar, R. 2014 In : BMC Medical Imaging.14, 38
Unsupervised Tumour Segmentation in PET using Local and Global Intensity-Fitting Active Surface and Alpha MattingZeng, Z., Wang, J., Tiddeman, B. & Zwiggelaar, R. 2013 In : Computers in Biology and Medicine.43, 10, p. 1530-154414 p.
Borehole and Ice Feature Annotation Tool (BIFAT): A program for the automatic and manual annotation of glacier borehole imagesMalone, T. S., Hubbard, B. P., Merton-Lyn, D., Worthington, P. & Zwiggelaar, R. 2013 In : Computers and Geosciences.51, p. 381-389
Coping with Noise in Ultrasound Images: A reviewZwiggelaar, R., Roscoe, J. F. & Dee, H. 2012
Intensity Score for Facial Actions Detection in Near-Frontal-View Face SequencesZwiggelaar, R., Ugail, H. & Yap, M. H. 2012 p. 3-53 p.
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controlsPhillips, C. O., Syed, Y., MacParthaláin, N. S., Zwiggelaar, R., Claypole, T. C. & Lewis, K. E. 2012 In : Journal of Breath Research.6, 3, p. -10 p., 036003
A Short Review of Methods for Face Detection and Multifractal AnalysisUgail, H., Doherty, V., Zwiggelaar, R., Appleyard, S., Huddy, G., Rajoub, B. & Yap, M. H. 2012 International Conference on Cyberworlds, 7-11 September, University of Bradford, UK (2009)..IEEE Press, p. 7-115 p.
Visual Cues for Facial Behaviour in Deception DetectionRajoub, B., Yap, M. H., Ugail, H. & Zwiggelaar, R. 2012 p. 4-74 p.
Facial Image Processing in Facial Analysis for Real-Time ProfilingUgail, H., Yap, M. H., Rajoub, B., Zwiggelaar, R., Doherty, V., Appleyard, S. & Huddy, G. 2012 p. 5-84 p.
Glioblastoma blood flow measured with stable xenon CT indicates tumor necrosis, vascularity, and brain invasionCrocker, M., Saadoun, S., Jury, A., Jones, C., Zacharoulis, S., Zwiggelaar, R., Bridges, L. R., Bell, B. A. & Papadopoulos, M. C. 2012 In : Neuro-Oncology.14, 5, p. 641-648
Automatic microcalcification and cluster detection for digital and digitised mammogramsOliver, A., Torrent, A., Lladó, X., Tortajada, M., Tortajada, L., Sentís, M., Freixenet, J. & Zwiggelaar, R. 2012 In : Knowledge-Based Systems.28, p. 68-758 p.
Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric momentsHe, W., Denton, E. R. E., Stafford, K. & Zwiggelaar, R. 2011 In : Biomedical Signal Processing and Control.6, 3, p. 321-3299 p.
Iterative Hyperplane Merging: A Framework for Manfiold LearningStrange, H. & Zwiggelaar, R. 2010 p. 1818 p.
Fuzzy-rough approaches for mammographic risk analysisMacParthaláin, N. S., Jensen, R., Shen, Q. & Zwiggelaar, R. 2010 In : Intelligent Data Analysis.14, 2, p. 225-24420 p.
A review of automatic mass detection and segmentation in mammographic imagesOliver, A., Freixenet, J., Marti, J., Denton, E. R. E., Zwiggelaar, R., Pérez, E. & Pont, J. 2010 In : Medical Image Analysis.14, 2, p. 87-110
Parallel Projections for Manifold LearningStrange, H. & Zwiggelaar, R. 2010
Combining textural and hyperspectral information for the classification of tree species in Australian savanna woodlandsBunting, P. J., He, W., Zwiggelaar, R. & Lucas, R. M. 2009 Innovations in Remote Sensing and Photogrammetry. Jones, S. & Reinke, K. (eds.). p. 19-268 p.
Classification Performance related to Intrinsic Dimensionality in Mammographic Image AnalysisStrange, H. G. & Zwiggelaar, R. 2009 Proceedings of the Thirteenth Annual Conference on Medical Image Understanding and Analysis.p. 219-2235 p.
Detection of linear structures in 3D breast tomosynthesis imagesHadley, E. M., Bakic, P. R., Maidment, A. D. A. & Zwiggelaar, R. 2009 Proceedings of Medical Image Understanding and Analysis 09, pp. 194-198 (2009)..p. 194-198
Mammographic segmentation based on mammographic parenchymal patterns and spatial momentsHe, W., Denton, E. R. E. & Zwiggelaar, R. 2009 Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine, 5-7 November, Larnaca, Cyprus (2009)..
Cancer Risk Assessment Related to Anatomical Tissue TypesHe, W., Denton, E. R. E., Zwiggelaar, R. & Strange, H. 2008
Optimally discriminant moments for speckle detection in real B-Scan imagesMartí, R., Martí, J., Freixenet, J., Zwiggelaar, R., Vilanova, J. C. & Barceló, J. 2008 In : Ultrasonics.48, 3, p. 169-18113 p.
Comparing the performance of a mass detection CAD system when using manual and automatic breast density information,Zwiggelaar, R. 2008 p. S418–S435
A novel breast tissue density classification frameworkOliver, A., Freixenet, J., Marti, R., Pont, J., Perez, E., Denton, E. R. E. & Zwiggelaar, R. 2008 In : IEEE Transactions on Information Technology in Biomedicine.12, 1, p. 55-6511 p.
Eigendetection of masses considering false positive reduction and breast density informationFreixenet, J., Oliver, A., Martí, R., Lladó, X., Pont, J., Pérez, E., Denton, E. R. E. & Zwiggelaar, R. 2008 In : Medical Physics.35, 5, p. 1840-185314 p.
Mammographic risk assessment: does anatomical linear structure information improve the accuracy of a density-based classifier?Zwiggelaar, R. 2008 Proceedings of the 12th Annual Conference on Medical Image Understanding and Analysis 2008.p. 224-2285 p.
Mammographic Segmentation Based on Texture Modelling of Tabár Mammographic Building BlocksHe, W., Zwiggelaar, R., Denton, E. R. E. & Muhimmah, I. 2008 Digital Mammography: 9th International Workshop, IWDM 2008 Tucson, AZ, USA, July 20-23, 2008 Proceedings.p. 17-248 p. (Lecture Notes in Computer Science; vol. 5116)
Analysis of using anatomical linear structure information in mammographic risk assessmentZwiggelaar, R. 2008 Proceeding IWDM '08 Proceedings of the 9th international workshop on Digital Mammography.Springer Nature, p. 483-4908 p.
The evaluation of effects on breast cancer diagnoses using the mammographic semantic informationQi, D., Denton, E. R. E., Leason, J. M. E., Othman, D. & Zwiggelaar, R. 2008 Lecture Notes in Computer Science: Digital Mammography: 9th International Workshop, IWDM 2008 Tucson, AZ, USA, July 20-23, 2008 Proceedings. Krupinski, E. A. (ed.). Vol. 5116, p. 307-3148 p.
A hybrid ASM approach for sparse volumetric data segmentationZhu, Y., Williams, S. & Zwiggelaar, R. 2007 In : Pattern Recognition and Image Analysis.17, 2, p. 252-2587 p.
Computer technology in detection and staging of prostate carcinoma: a reviewZhu, Y., Williams, S. & Zwiggelaar, R. 2006 In : Medical Image Analysis.10, 2, p. 178-19922 p.
A volumetric approach to risk assessment in mammography: a feasibility studyBlot, L. & Zwiggelaar, R. 2005 In : Physics in Medicine and Biology.50, 4, p. 695-70814 p.
An estimation of firmness for solid ellipsoidal fruitsOuyang, F., Blot, L., Zwiggelaar, R. & Cherng, A. . P. 2005 In : Biosystems Engineering.91, 2, p. 257-2593 p.
Two-Dimensional–Three-Dimensional Correspondence in MammographyRubin, C. M. E., Marti, R., Denton, E. R. E. & Zwiggelaar, R. 2004 In : Cybernetics and Systems.35, 1, p. 85-10521 p.
Linear structures in mammographic images: detection and classificationBoggis, C. R. M., Taylor, C. J., Astley, S. M. & Zwiggelaar, R. 2004 In : IEEE Transactions on Medical Imaging.23, 9, p. 1077-108610 p.
Automated Quality Assurance Applied to Mammographic ImagingBlot, L., Davis, A., Holubinka, M., Martí, R. & Zwiggelaar, R. 2002 In : EURASIP Journal of Applied Signal Processing.7, p. 736-74510 p.
Automatic point correspondence and registration based on linear structuresRubin, C. M. E., Marti, R. & Zwiggelaar, R. 2002 In : International Journal of Pattern Recognition and Artificial Intelligence.16, 3, p. 331-34010 p.
Model-based detection of spiculated lesions in mammogramsZwiggelaar, R., Parr, T. C., Schumm, J. E., Hutt, I. W., Taylor, C. J., Astley, S. M. & Boggis, C. R. M. 1999 In : Medical Image Analysis.3, 1, p. 39-6224 p.
A review of spectral properties of plants and their potential use for crop/weed discrimination in row-cropsZwiggelaar, R. 1998 In : Crop Protection.17, 3, p. 189-20618 p.
Discrimination between low atomic number materials from their characteristic scattering of X-ray radiationBull, C. R. & Zwiggelaar, R. 1997 In : Journal of Agricultural Engineering Research.68, 2, p. 77-8711 p.
Modelling uncertainty in agricultural image analysisOnyango, C. M., Marchant, J. A. & Zwiggelaar, R. 1997 In : Computers and Electronics in Agriculture.17, 3, p. 295-30511 p.
The detection of 'soft' materials by selective energy xray transmission imaging and computer tomographyMooney, M. J., Bull, C. R., Zwiggelaar, R. & Czarnes, S. 1997 In : Journal of Agricultural Engineering Research.66, 3, p. 203-21210 p.
Review of inspection techniques based on the elastic and inelastic scattering of X-rays and their potential in the food and agricultural industryZwiggelaar, R., Speller, R. D. & Bull, C. R. 1997 In : Journal of Food Engineering.33, 1-2, p. 167-179
Inspection of teats by colour image analysis for automatic milking systemsBull, C. R., McFarlane, N. J. B., Zwiggelaar, R., Allen, C. J. & Mottram, T. T. 1996 In : Computers and Electronics in Agriculture.15, 1, p. 15-2612 p.
X-ray simulations for imaging applications in the agricultural and food industryBull, C. R., Mooney, M. J. & Zwiggelaar, R. 1996 In : Journal of Agricultural Engineering Research.63, 2, p. 161-17010 p.
Using spectral information and machine vision for bruise detection on peaches and apricotsGarcia-Pardo, E., Yang, Q., Bull, C. R. & Zwiggelaar, R. 1996 In : Journal of Agricultural Engineering Research.63, 4, p. 323-33210 p.
Propagation of the degree of polarisation in a few-mode optical fibre: Experimental resultsZwiggelaar, R. & Wilson, M. G. F. 1996 In : International Journal of Optoelectronics.10, 4, p. 295-2973 p.
Optical determination of fractal dimensions using Fourier transformsZwiggelaar, R. & Bull, C. R. 1995 In : Optical Engineering.34, 5, p. 1325-13328 p.
100 Jaar rontgen straling: wisselwerking tussen theorie, experiment en simulatieZwiggelaar, R. 1995 In : Tijdschrift voor Natuurkunde.61, 12, p. 207-2093 p.
Imaging as a technique for assessment and control in the fieldStafford, J. V., Zwiggelaar, R. & Bull, C. R. 1995 In : Aspects of Applied Biology.43, p. 197-2048 p.
Single Mueller matrix description of the propagation of degree of polarisation in a uniformly anisotropic single-mode optical fibreWilson, M. G. F. & Zwiggelaar, R. 1994 In : IEE Proceedings - Optoelectronics.141, 6, p. 367-3726 p.
Spectral changes in inhomogeneous media: a quasi-optical approachZwiggelaar, R. & Wilson, M. G. F. 1993 In : International Journal of Infrared and Millimeter Waves.14, 10, p. 2253-22597 p.