Reyer Zwiggelaar Ir (Groningen), PhD (University College London)
Director of Research (IMPACS)
Head of the Graduate School
Room Number..........:  B61
Phone.......................:   +44 (0)1970 628691
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.
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Computer-aided detection of prostate cancer in T2-weighted MRI within the peripheral zone. Physics in Medicine and Biology 61 (3) 10.1088/0031-9155/61/13/47962016.
Computer-aided diagnosis: Detection and localization of prostate cancer within the peripheral zone. International Journal for Numerical Methods in Biomedical Engineering 32 (5) 10.1002/cnm.27452016.
Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions. Image and Vision Computing 52 pp. 73-87. 10.1016/j.imavis.2016.05.0102016.
Image-based phenotyping to measure plant diversity and performance. Plant and Animal Genome Conference XXIV, San Diego, California, United States of America, 09/01/2016 - 13/01/2016.2016.
Mammographic Segmentation and Density Classification: A Fractal Inspired Approach. In A. Tingberg, K. Lång, P. Timberg (eds), Breast Imaging: 13th International Workshop, IWDM 2016. Lecture Notes in Computer Science, vol. 9699 Proceedings 13th International Workshop, IWDM 2016, Malmö,, Sweden, 19/06/2016 - 22/06/2016. Springer pp. 359-366. 10.1007/978-3-319-41546-8_452016.
Piecewise-Linear Manifold Learning: A Heuristic Approach to Nonlinear Dimensionality Reduction. Intelligent Data Analysis 19 (6) pp. 1213-1232. 10.3233/IDA-1507792016.
A review on automatic mammographic density and parenchymal segmentation. International Journal of Breast Cancer 2015 276217 pp. 1-31. 10.1155/2015/2762172015.
Automatic Estimation of Wheat Grain Morphometry from CT Data. Functional Plant Biology 42 pp. 452-459. 10.1071/FP140682015.
Breast Image Pre-processing For Mammographic Tissue Segmentation. Computers in Biology and Medicine 67 pp. 61-73. 10.1016/j.compbiomed.2015.10.0022015.
Topological Modelling and Classification of Mammographic Microcalcification Clusters. IEEE Transactions on Biomedical Engineering 62 (4) pp. 1203-1214. 10.1109/TBME.2014.23851022015.
Unsupervised segmentation for multiple sclerosis lesions in multimodality Magnetic Resonance images. 2015 8th International Conference on BioMedical Engineering and Informatics (BMEI 2015). IEEE Press pp. 126-130. 10.1109/BMEI.2015.74014862015.
Image Based Tissue Segmentation: Towards the Automation of Mammographic Risk Assessment. Oncology News 9 (1) pp. 12-15. Other2014.
Modelling cancer risk. International Innovation 165 pp. 73-75. Other2014.
Myofibre Segmentation in H&E Stained Adult Skeletal Muscle Images using Coherence-Enhancing Diffusion Filtering. BMC Medical Imaging 14 38 10.1186/1471-2342-14-382014.
Open Problems in Spectral Dimensionality Reduction. Springer 10.1007/978-3-319-03943-52014.
Borehole and Ice Feature Annotation Tool (BIFAT): A program for the automatic and manual annotation of glacier borehole images. Computers and Geosciences 51 pp. 381-389. 10.1016/j.cageo.2012.09.0022013.
Unsupervised Tumour Segmentation in PET using Local and Global Intensity-Fitting Active Surface and Alpha Matting. Computers in Biology and Medicine 43 (10) pp. 1530-1544. 10.1016/j.compbiomed.2013.07.027 Other2013.
A Short Review of Methods for Face Detection and Multifractal Analysis. International Conference on Cyberworlds, 7-11 September, University of Bradford, UK (2009). IEEE Press pp. 7-11. 10.1109/CW.2009.47 Cadair2012.
Automatic microcalcification and cluster detection for digital and digitised mammograms. Knowledge-Based Systems 28 pp. 68-75. 10.1016/j.knosys.2011.11.0212012.
Coping with Noise in Ultrasound Images: A review. Cadair2012.
Facial Image Processing in Facial Analysis for Real-Time Profiling. pp. 5-8. Cadair2012.
Glioblastoma blood flow measured with stable xenon CT indicates tumor necrosis, vascularity, and brain invasion. Neuro-Oncology 14 (5) pp. 641-648. 10.1093/neuonc/nos0632012.
Intensity Score for Facial Actions Detection in Near-Frontal-View Face Sequences. pp. 3-5. Cadair2012.
Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls. Journal of Breath Research 6 (3) 036003 pp. -. 10.1088/1752-7155/6/3/0360032012.
Visual Cues for Facial Behaviour in Deception Detection. pp. 4-7. Cadair2012.
Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments. Biomedical Signal Processing and Control 6 (3) pp. 321-329. 10.1016/j.bspc.2011.03.0082011.
Parallel Projections for Manifold Learning. Cadair2010.
Classification Performance related to Intrinsic Dimensionality in Mammographic Image Analysis. Proceedings of the Thirteenth Annual Conference on Medical Image Understanding and Analysis. pp. 219-223. Cadair Other2009.
Combining textural and hyperspectral information for the classification of tree species in Australian savanna woodlands. In S. Jones, K. Reinke (eds), Innovations in Remote Sensing and Photogrammetry. pp. 19-26. 10.1007/978-3-540-93962-7_2 Cadair Other2009.
Detection of linear structures in 3D breast tomosynthesis images. Proceedings of Medical Image Understanding and Analysis 09, pp. 194-198 (2009). pp. 194-198.2009.
Mammographic segmentation based on mammographic parenchymal patterns and spatial moments. Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine, 5-7 November, Larnaca, Cyprus (2009). 9th International Conference on Information Technology and Applications in Biomedicine, Larnaca, Cyprus, 05/11/2009 - 07/11/2009. 10.1109/ITAB.2009.5394451 Other2009.
Analysis of using anatomical linear structure information in mammographic risk assessment. Proceeding IWDM '08 Proceedings of the 9th international workshop on Digital Mammography. Springer pp. 483-490. 10.1007/978-3-540-70538-3_672008.
Comparing the performance of a mass detection CAD system when using manual and automatic breast density information, 22nd International Congress and Exhibition, Barcelona, Spain, 25/06/2008 - 28/06/2008. pp. S418–S435. 10.1007/s11548-008-0207-82008.
Eigendetection of masses considering false positive reduction and breast density information. Medical Physics 35 (5) pp. 1840-1853. 10.1118/1.28979502008.
Mammographic Segmentation Based on Texture Modelling of Tabár Mammographic Building Blocks. Digital Mammography: 9th International Workshop, IWDM 2008 Tucson, AZ, USA, July 20-23, 2008 Proceedings. Lecture Notes in Computer Science, vol. 5116 pp. 17-24.2008.
Mammographic risk assessment: does anatomical linear structure information improve the accuracy of a density-based classifier? Proceedings of the 12th Annual Conference on Medical Image Understanding and Analysis 2008. Medical Image Understanding and Analysis 2008, Dundee, United Kingdom of Great Britain and Northern Ireland, 02/07/2008 - 03/07/2008. pp. 224-228. Other2008.
Optimally discriminant moments for speckle detection in real B-Scan images. Ultrasonics 48 (3) pp. 169-181. 10.1016/j.ultras.2007.11.0102008.
The evaluation of effects on breast cancer diagnoses using the mammographic semantic information. In E. Krupinski (ed), Lecture Notes in Computer Science: Digital Mammography: 9th International Workshop, IWDM 2008 Tucson, AZ, USA, July 20-23, 2008 Proceedings. pp. 307-314. 10.1007/978-3-540-70538-3_432008.
Automated Quality Assurance Applied to Mammographic Imaging. EURASIP Journal of Applied Signal Processing 7 pp. 736-745. 10.1155/S11108657022030292002.
Automatic point correspondence and registration based on linear structures. International Journal of Pattern Recognition and Artificial Intelligence 16 (3) pp. 331-340. 10.1142/S021800140200171X Cadair Other2002.
Discrimination between low atomic number materials from their characteristic scattering of X-ray radiation. Journal of Agricultural Engineering Research 68 (2) pp. 77-87. 10.1006/jaer.1997.0181 Cadair1997.
Review of inspection techniques based on the elastic and inelastic scattering of X-rays and their potential in the food and agricultural industry. Journal of Food Engineering 33 (1-2) pp. 167-179. 10.1016/S0260-8774(97)88544-5 Cadair1997.
Propagation of the degree of polarisation in a few-mode optical fibre: Experimental results. International Journal of Optoelectronics 10 (4) pp. 295-297. Cadair1996.
100 Jaar rontgen straling: wisselwerking tussen theorie, experiment en simulatie. Tijdschrift voor Natuurkunde 61 (12) pp. 207-209. Cadair1995.
Imaging as a technique for assessment and control in the field. Aspects of Applied Biology 43 pp. 197-204. Cadair1995.
Single Mueller matrix description of the propagation of degree of polarisation in a uniformly anisotropic single-mode optical fibre. IEE Proceedings Optoelectronics 141 (6) pp. 367-372. 10.1049/ip-opt:19941471 Cadair Other1994.