Reyer Zwiggelaar

Reyer Zwiggelaar, Erika R. E. Denton, 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

TWO-DIMENSIONAL–THREE-DIMENSIONAL CORRESPONDENCE IN MAMMOGRAPHY

Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin, 2004, Cybern. Syst..

Image-based phenotyping to measure plant diversity and performance

Reyer Zwiggelaar, Kevin Williams, Anyela Camargo-Rodriguez, 2016 .

Modelling the Manifold

Reyer Zwiggelaar, Harry Strange, 2014 .

Texture segmentation using different orientations of GLCM features

Reyer Zwiggelaar, Andrik Rampun, Harry Strange, 2013, MIRAGE '13.

A Multiscale Blob Representation of Mammographic Parenchymal Patterns and Mammographic Risk Assessment

Liping Wang, Reyer Zwiggelaar, Erika R. E. Denton, 2013, CAIP.

Automated Mammographic Risk Classification Based on Breast Density Estimation

Arnau Oliver, Reyer Zwiggelaar, Erika R. E. Denton, 2013, IbPRIA.

Spectral Dimensionality Reduction

Reyer Zwiggelaar, Harry Strange, 2014 .

Automatic Classification of Linear Structures in Mammographic Images

Christopher J. Taylor, Reyer Zwiggelaar, Caroline R. M. Boggis, 1999, MICCAI.

Finding Orientated Line Patterns in Digital Mammographic Images

Christopher J. Taylor, Reyer Zwiggelaar, Tim C. Parr, 1996, BMVC.

Synthesis and analysis of solid texture: application in medical imaging

Reyer Zwiggelaar, Lilian Blot, 2002 .

Detection of the Central Mass of Spiculated Lesions - Signature Normalisation and Model Data Aspects

Christopher J. Taylor, Reyer Zwiggelaar, Caroline M. E. Rubin, 1999, IPMI.

A clustering reduction algorithm for fuzzy concept lattice

Ansheng Deng, Reyer Zwiggelaar, Yanpeng Qu, 2017, 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

Multi-criterion mammographic risk analysis supported with multi-label fuzzy-rough feature selection

Reyer Zwiggelaar, Qiang Shen, Longzhi Yang, 2019, Artif. Intell. Medicine.

Detecting the Central Mass of a Spiculated Lesion Using Scale-Orientation Signatures

Susan M. Astley, Christopher J. Taylor, Reyer Zwiggelaar, 1998, Digital Mammography / IWDM.

Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification

Reyer Zwiggelaar, Azam Hamidinekoo, Zobia Suhail, 2017, MIUA.

Nonlinear Local Transformation Based Mammographic Image Enhancement

Yide Ma, Reyer Zwiggelaar, Min Dong, 2016, Digital Mammography / IWDM.

Groupwise Non-rigid Image Alignment With Graph-based Initialisation

Reyer Zwiggelaar, Bernard Tiddeman, Otar Akanyeti, 2018, CGVC.

G-Images: Towards Multilevel Unsupervised Image Segmentation

Reyer Zwiggelaar, Harbir Singh, 2004, ICVGIP.

Mammographic Segmentation Based on Texture Modelling of Tabár Mammographic Building Blocks

Reyer Zwiggelaar, Wenda He, Erika R. E. Denton, 2008, Digital Mammography / IWDM.

Influence of using manual or automatic breast density information in a mass detection CAD system.

Xavier Lladó, Arnau Oliver, Jordi Freixenet, 2010, Academic radiology.

Salient Edge Guided 3D Brain MR Image Registration Using Demons

Liping Wang, Reyer Zwiggelaar, 2015, MIUA.

Texture based segmentation: automatic selection of co-occurrence matrices

Reyer Zwiggelaar, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Automated Mammogram Analysis with a Deep Learning Pipeline

Reyer Zwiggelaar, Erika R. E. Denton, Azam Hamidinekoo, 2019, 1907.11953.

Multi-scale morphological feature extraction for the classification of micro-calcifications

Reyer Zwiggelaar, Erika R. E. Denton, Zobia Suhail, 2018, Other Conferences.

The Evaluation of Effects on Breast Cancer Diagnoses When Using Mammographic Semantic Information

Da Qi, Reyer Zwiggelaar, Erika R. E. Denton, 2008, Digital Mammography / IWDM.

Automated 3D Segmentation of the Lung Airway Tree Using Gain-Based Region Growing Approach

Reyer Zwiggelaar, Michael Crawford, Harbir Singh, 2004, MICCAI.

Detection of linear structures in 3D breast tomosynthesis images

Reyer Zwiggelaar, E. M. Hadley, P. R. Bakic, 2009 .

Comparing the performance of various deep networks for binary classification of breast tumours

Reyer Zwiggelaar, Erika R. E. Denton, Azam Hamidinekoo, 2018, Other Conferences.

Risk Assessment: the use of Background Texture in Mammographic Imaging

Reyer Zwiggelaar, Erika R. E. Denton, Lilian Blot, 2003 .

Borehole and Ice Feature Annotation Tool (BIFAT): A program for the automatic and manual annotation of glacier borehole images

Reyer Zwiggelaar, Terry Malone, Bryn Hubbard, 2013, Comput. Geosci..

Automatic microcalcification and cluster detection for digital and digitised mammograms

Xavier Lladó, Arnau Oliver, Jordi Freixenet, 2012, Knowl. Based Syst..

Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information

Reyer Zwiggelaar, Erika R. E. Denton, Josep Pont, 2007, IbPRIA.

Model-based detection of spiculated lesions in mammograms

Susan M. Astley, Ian W. Hutt, Christopher J. Taylor, 1999, Medical Image Anal..

A Comparison of Automatic Methods for Muscle Fibre Segmentation

Reyer Zwiggelaar, Harry Strange, Ian S. Scott, 2013 .

Predicting Hospital Length of Stay for Accident and Emergency Admissions

Reyer Zwiggelaar, Phil Jones, Neil MacParthalain, 2019, UKCI.

Topological Connected Chain Modelling for Classification of Mammographic Microcalcification

Minu George, Reyer Zwiggelaar, Erika R. E. Denton, 2018, CGVC.

Computer aided diagnosis of prostate cancer: A texton based approach.

Reyer Zwiggelaar, Andrik Rampun, Bernie Tiddeman, 2016, Medical physics.

Unsupervised Cell Nuclei Segmentation Based on Morphology and Adaptive Active Contour Modelling

Reyer Zwiggelaar, Chunlei Han, Ziming Zeng, 2013, ICIAR.

Mammographic Segmentation and Density Classification: A Fractal Inspired Approach

Reyer Zwiggelaar, Wenda He, Arne Juette, 2016, Digital Mammography / IWDM.

Histogram-based approach for mass segmentation in mammograms

Reyer Zwiggelaar, Zobia Suhail, 2020, Other Conferences.

Joint Histogram Modelling for Segmentation Multiple Sclerosis Lesions

Reyer Zwiggelaar, Ziming Zeng, 2011, MIRAGE.

Statistical modeling of lines and structures in mammograms

Susan M. Astley, Caroline Boggis, Christopher J. Taylor, 1997, Medical Imaging.

Facial image processing for facial analysis

Hassan Ugail, Reyer Zwiggelaar, Moi Hoon Yap, 2010, 44th Annual 2010 IEEE International Carnahan Conference on Security Technology.

Piecewise-linear manifold learning: A heuristic approach to non-linear dimensionality reduction

Reyer Zwiggelaar, Harry Strange, R. Zwiggelaar, 2015, Intell. Data Anal..

Mammographic Ellipse Modelling Towards Birads Density Classification

Minu George, Reyer Zwiggelaar, Erika R. E. Denton, 2016, Digital Mammography / IWDM.

Detecting Mammographic Abnormalities from Image Registration Results

Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin, 2005, CCIA.

Automatic contruction of optimal 3D statistical shape models

Reyer Zwiggelaar, Christopher J. Taylor, Carole J. Twining, 2002 .

3D Texton Based Prostate Cancer Detection Using Multiparametric Magnetic Resonance Imaging

Liping Wang, Reyer Zwiggelaar, R. Zwiggelaar, 2017, MIUA.

Linking Image Structures with Medical Ontology Information

Da Qi, Reyer Zwiggelaar, Erika R. E. Denton, 2006, Digital Mammography / IWDM.

Mammographic Ellipse Modelling for Risk Estimation

Minu George, Reyer Zwiggelaar, Erika R. E. Denton, 2016, MIUA.

Modelling uncertainty in agricultural image analysis

John A. Marchant, Reyer Zwiggelaar, Christine M. Onyango, 1997 .

Random Projections for Mammographic Texture Segmentation

Reyer Zwiggelaar, J Mirecka, Ere Denton, 2015 .

An AI-based method to retrieve hematoxylin and eosin breast histology images using mammograms

Reyer Zwiggelaar, Azam Hamidinekoo, Erika Denton, 2020, Other Conferences.

An Improved BET Method for Brain Segmentation

Liping Wang, Reyer Zwiggelaar, Ziming Zeng, 2014, 2014 22nd International Conference on Pattern Recognition.

Segmentation for Multiple Sclerosis Lesions Based on 3D Volume Enhancement and 3D Alpha Matting

Reyer Zwiggelaar, Ziming Zeng, 2013, ICIAR.

The Detection of “Soft” Materials by Selective Energy Xray Transmission Imaging and Computer Tomography

Reyer Zwiggelaar, Michael J. Mooney, C. R. Bull, 1997 .

Breast peripheral area correction in digital mammograms

Robert Marti, Arnau Oliver, Jordi Freixenet, 2014, Comput. Biol. Medicine.

Prompting in Mammography: How Good Must Prompt Generators Be?

Susan M. Astley, Christopher J. Taylor, Reyer Zwiggelaar, 1998, Digital Mammography / IWDM.

Coping with Noise in Ultrasound Images: A review

Reyer Zwiggelaar, Hannah Dee, Jonathan Francis Roscoe, 2012 .

Automatic Estimation of the Number of Segmentation Groups Based on MI

Reyer Zwiggelaar, Longzhi Yang, Ziming Zeng, 2011, IbPRIA.

Mammographic Segmentation and Risk Classification Using a Novel Binary Model Based Bayes Classifier

Reyer Zwiggelaar, Wenda He, Erika R. E. Denton, 2012, Digital Mammography / IWDM.

Hierarchical modelling for unsupervised tumour segmentation in PET

Reyer Zwiggelaar, Ziming Zeng, Tony Shepherd, 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.

The Research Institude of Visual Computing, RIVIC, UK

Nigel W. John, R. Martin, Franck Patrick Vidal, 2013, Eurographics.

Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Statistical Modelling of Lines and Structures in Mammograms

Susan M. Astley, Christopher J. Taylor, Reyer Zwiggelaar, 1997, IPMI.

Mammographic mass classification using filter response patches

Reyer Zwiggelaar, Azam Hamidinekoo, Zobia Suhail, 2018, IET Comput. Vis..

Thermal Facial Analysis for Deception Detection

Reyer Zwiggelaar, Bashar A. Rajoub, R. Zwiggelaar, 2014, IEEE Transactions on Information Forensics and Security.

Bag of visual words based approach for the classification of benign and malignant masses in mammograms using voting-based feature encoding

Arif Mahmood, Reyer Zwiggelaar, Erika R. E. Denton, 2018, Other Conferences.

A combined method for automatic identification of the breast boundary in mammograms

Reyer Zwiggelaar, Zhili Chen, 2012, 2012 5th International Conference on BioMedical Engineering and Informatics.

Analysis of Mammographic Microcalcification Clusters Using Topological Features

Reyer Zwiggelaar, Erika R. E. Denton, Zhili Chen, 2014, Digital Mammography / IWDM.

Classification Performance related to Intrinsic Dimensionality in Mammographic Image Analysis

Reyer Zwiggelaar, Harry Strange, 2009 .

Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images

Reyer Zwiggelaar, Azam Hamidinekoo, 2017, DLMIA/ML-CDS@MICCAI.

Breast Parenchymal Pattern Analysis in Digital Mammography: Associations between Tabár and Birads Tissue Compositions

Reyer Zwiggelaar, Wenda He, 2013, CAIP.

A density-based discretization method with inconsistency evaluation

Ansheng Deng, Reyer Zwiggelaar, Rong Zhao, 2018, 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI).

Topographic representation based breast density segmentation for mammographic risk assessment

Reyer Zwiggelaar, Erika R. E. Denton, Zhili Chen, 2012, 2012 19th IEEE International Conference on Image Processing.

A Mammographic Registration Framework Based on Anatomical Linear Structures

Reyer Zwiggelaar, Caroline M. E. Rubin, Erika R. E. Denton, 2006 .

Comparing line detection methods for medical images

Reyer Zwiggelaar, Christopher J. Taylor, Tim C. Parr, 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Guest Editorial: Scenes, Images and Objects

Yonghuai Liu, Reyer Zwiggelaar, Bernard Tiddeman, 2012, International Journal of Computer Vision.

Intensity score for facial actions detection in near-frontal-view face sequences

Hassan Ugail, Reyer Zwiggelaar, Moi Hoon Yap, 2012, 2012 International Conference on Computer and Communication Engineering (ICCCE).

End-to-end breast ultrasound lesions recognition with a deep learning approach

Manu Goyal, Reyer Zwiggelaar, Arne Juette, 2018, Medical Imaging.

A Block-based Approach for Malignancy Detection within the Prostate Peripheral Zone in T2-weighted MRI

Reyer Zwiggelaar, Andrik Rampun, Paul Malcolm, 2015, BIOIMAGING.

Classification of Microcalcification Clusters Based on Morphological Topology Analysis

Reyer Zwiggelaar, Erika R. E. Denton, Zhili Chen, 2012, Digital Mammography / IWDM.

Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based Classifier

Reyer Zwiggelaar, Erika R. E. Denton, Nashid Alam, 2019, J. Imaging.

Automatic classification of breast tissue according BIRADS categories using a clustering approach

Arnau Oliver, Jordi Freixenet, Reyer Zwiggelaar, 2005 .

Comparative Study on Local Binary Patterns for Mammographic Density and Risk Scoring

Minu George, Reyer Zwiggelaar, R. Zwiggelaar, 2019, J. Imaging.

Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation

Reyer Zwiggelaar, Paul Malcolm, Azam Hamidinekoo, 2020, J. Imaging.

Classification of mammographic microcalcification clusters with machine learning confidence levels

Hui Wang, Philip J. Morrow, Bryan W. Scotney, 2018, Other Conferences.

Automatic Registration of Mammograms Based on Linear Structures

Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin, 2001, IPMI.

Detection of linear structures in mammographic images

Reyer Zwiggelaar, C. R. M. Boggis, Robert Martí, 2000 .

Three-dimensional modeling of microcalciﬁcation clusters using breast tomosynthesis: a preliminary study

Predrag R. Bakic, Reyer Zwiggelaar, Nashid Alam, 2020, Other Conferences.

Automatic classification of clustered microcalcifications in digitized mammogram using ensemble learning

Reyer Zwiggelaar, Nashid Alam, R. Zwiggelaar, 2018, Other Conferences.

Enhancement of abnormal structures in mammographic images

Reyer Zwiggelaar, Lilian Blot, C. R. M. Boggis, 2000 .

A Revisit on Correlation between Tabár and Birads Based Risk Assessment Schemes with Full Field Digital Mammography

Reyer Zwiggelaar, Wenda He, Minnie Kibiro, 2014, Digital Mammography / IWDM.

Improving ASM Search Using Mixture Models for Grey-Level Profiles

Mark Fisher, Reyer Zwiggelaar, Yanong Zhu, 2005, IbPRIA.

A Short Review of Methods for Face Detection and Multifractal Analysis

Hassan Ugail, Reyer Zwiggelaar, Moi Hoon Yap, 2009, 2009 International Conference on CyberWorlds.

Towards the Automation of Mammographic Risk

Reyer Zwiggelaar, Harry Strange, 2014 .

Fuzzy-rough assisted refinement of image processing procedure for mammographic risk assessment

Minu George, Reyer Zwiggelaar, Qiang Shen, 2020, Appl. Soft Comput..

Novel multiresolution mammographic density segmentation using pseudo 3D features and adaptive cluster merging

Reyer Zwiggelaar, Wenda He, Arne Juette, 2015, Medical Imaging.

A review on brain structures segmentation in magnetic resonance imaging

Arnau Oliver, Liping Wang, Reyer Zwiggelaar, 2016, Artif. Intell. Medicine.

Comparing image correspondence in mammograms

Reyer Zwiggelaar, Caroline M. E. Rubin, Robert Martí, 2000 .

Non-expert Classification of Microcalcification Clusters Using Mereotopological Barcodes

Reyer Zwiggelaar, Harry Strange, 2016, Digital Mammography / IWDM.

Digital Mammography, 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings

Michael Brady, Susan M. Astley, Reyer Zwiggelaar, 2006, Digital Mammography / IWDM.

Breast ultrasound region of interest detection and lesion localisation

Manu Goyal, Reyer Zwiggelaar, Arne Juette, 2020, Artif. Intell. Medicine.

A database for facial behavioural analysis

Hassan Ugail, Reyer Zwiggelaar, Moi Hoon Yap, 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Semi-automatic Segmentation of the Prostate

Reyer Zwiggelaar, Stuart Williams, Yanong Zhu, 2003, IbPRIA.

Manifold Learning for Density Segmentation in High Risk Mammograms

Reyer Zwiggelaar, Minnie Kibiro, Erika R. E. Denton, 2013, IbPRIA.

Fourier transforms and fractals in the food and agricultural industry

Reyer Zwiggelaar, C. R. Bull, 1994, Other Conferences.

Myofibre segmentation in H&E stained adult skeletal muscle images using coherence-enhancing diffusion filtering

Reyer Zwiggelaar, Ian Scott, Harry Strange, 2014, BMC Medical Imaging.

Inconsistency Measure Associated Discretization Methods to Network-based Intrusion Detection

Ansheng Deng, Reyer Zwiggelaar, Rong Zhao, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Classification of micro-calcification in mammograms using scalable linear Fisher discriminant analysis

Reyer Zwiggelaar, Erika R. E. Denton, Zobia Suhail, 2017, Medical & Biological Engineering & Computing.

Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation

Reyer Zwiggelaar, Paul Malcolm, Azam Hamidinekoo, 2019, MIUA.

Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network

Philip J. Morrow, Bryan W. Scotney, Miguel Ángel González Ballester, 2019, Medical Image Anal..

DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis

Morteza Ghahremani, Reyer Zwiggelaar, Gina A. Garzón-Martínez, 2020, GigaScience.

Special Section Guest Editorial: Advances in Breast Imaging

Robert Marti, Reyer Zwiggelaar, Elizabeth A Krupinski, 2019, Journal of medical imaging.

Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification

Reyer Zwiggelaar, Zaineb Chelly Dagdia, Azam Hamidinekoo, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Topological Modeling and Classification of Mammographic Microcalcification Clusters

Arnau Oliver, Reyer Zwiggelaar, Caroline R. M. Boggis, 2015, IEEE Transactions on Biomedical Engineering.

Deep learning in mammography and breast histology, an overview and future trends

Reyer Zwiggelaar, Erika R. E. Denton, Andrik Rampun, 2018, Medical Image Anal..

Automatic Point Correspondence and Registration Based on Linear Structures

Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin, 2002, Int. J. Pattern Recognit. Artif. Intell..

Mammographic Image Segmentation and Risk Classification Using a Novel Texture Signature Based Methodology

Reyer Zwiggelaar, Wenda He, Erika R. E. Denton, 2010, Digital Mammography / IWDM.

Analysis of Anatomical Linear Structure Information in Mammographic Risk Assessment

Reyer Zwiggelaar, Erika R. E. Denton, Josep Pont, 2008, Digital Mammography / IWDM.

Classifying Benign and Malignant Tissues within the Prostate Peripheral Zone using Textons

Ling Zheng, Reyer Zwiggelaar, Andrik Rampun, 2015, MIUA.

Breast image pre-processing for mammographic tissue segmentation

Reyer Zwiggelaar, Wenda He, Arne Juette, 2015, Comput. Biol. Medicine.

Abnormal Masses in Mammograms: Detection Using Scale-Orientation Signatures

Christopher J. Taylor, Reyer Zwiggelaar, 1998, MICCAI.

Mammographic risk assessment: does anatomical linear structure information improve the accuracy of a density-based classifier?

Reyer Zwiggelaar, 2008 .

Automatic Classification of Breast Tissue

Arnau Oliver, Jordi Freixenet, Reyer Zwiggelaar, 2005, IbPRIA.

Unsupervised tumour segmentation in PET based on local and global intensity fitting active surface and alpha matting

Reyer Zwiggelaar, Ziming Zeng, Tony Shepherd, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Separating Background Texture, Image Structure in Mammograms

Reyer Zwiggelaar, 1999, BMVC.

Mammographic X-Ray and MR Correspondence

Reyer Zwiggelaar, Caroline M. E. Rubin, Robert Martí, 2003 .

Detection of Mammographic Microcalcifications Using a Statistical Model

Susan M. Astley, Christopher J. Taylor, Reyer Zwiggelaar, 1998, Digital Mammography / IWDM.

Image Based Tissue Segmentation: Towards the Automation of Mammographic Risk Assessment

Reyer Zwiggelaar, Wenda He, Erika R. E. Denton, 2014 .

Linear structures in mammographic images: detection and classification

Susan M. Astley, Christopher J. Taylor, Reyer Zwiggelaar, 2004, IEEE Transactions on Medical Imaging.

A hybrid ASM approach for sparse volumetric data segmentation

Reyer Zwiggelaar, Stuart Williams, Yanong Zhu, 2007, Pattern Recognition and Image Analysis.

Large Scale Data

Reyer Zwiggelaar, Harry Strange, R. Zwiggelaar, 2014 .

Tree-based modelling for the classification of mammographic benign and malignant micro-calcification clusters

Reyer Zwiggelaar, Erika R. E. Denton, Zobia Suhail, 2018, Multimedia Tools and Applications.

Open Problems in Spectral Dimensionality Reduction

Reyer Zwiggelaar, Harry Strange, 2014, SpringerBriefs in Computer Science.

EM Texture Segmentation of Mammographic Images

Reyer Zwiggelaar, Caroline M. E. Rubin, Erika R. E. Denton, 2003 .

Computer Aided Detection of Prostate Cancer within the Peripheral Zone in T2-Weighted MRI

Ling Zheng, Reyer Zwiggelaar, Andrik Rampun, 2015, MIUA.

Set-Permutation-Occurrence Matrix Based Texture Segmentation

Reyer Zwiggelaar, Erika R. E. Denton, Lilian Blot, 2003, IbPRIA.

Date-driven Based Image Enhancement for Segmenting of MS Lesions in T2-w and Flair MRI

Zhonghua Han, Reyer Zwiggelaar, Yitian Zhao, 2014 .

A Novel Image Enhancement Methodology for Full Field Digital Mammography

Reyer Zwiggelaar, Wenda He, Minnie Kibiro, 2014, Digital Mammography / IWDM.

Local feature based mammographic tissue pattern modelling and breast density classification

Reyer Zwiggelaar, Erika R. E. Denton, Zhili Chen, 2011, 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI).

Automatic Segmentation of Microcalcification Clusters

Arnau Oliver, Reyer Zwiggelaar, Erika R. E. Denton, 2018, MIUA.

Pre-processor for location of possible masses in mammograms

Reyer Zwiggelaar, Christopher J. Taylor, A Houston, 2002 .

Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments

Reyer Zwiggelaar, Wenda He, Erika R. E. Denton, 2011, Biomed. Signal Process. Control..

Comparison of image intensity, local, and multi‐atlas priors in brain tissue classification

Reyer Zwiggelaar, Frédéric Labrosse, Liping Wang, 2017, Medical physics.

Machine Learning Techniques and Mammographic Risk Assessment

Reyer Zwiggelaar, Neil MacParthalain, R. Zwiggelaar, 2010, Digital Mammography / IWDM.

SHREC 2020: Multi-domain protein shape retrieval challenge

Genki Terashi, Daisuke Kihara, Andrea Giachetti, 2020, Comput. Graph..

Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcifications

Reyer Zwiggelaar, Zobia Suhail, 2019, MIUA.

Imaging as a technique for assessment and control in the field

J. V. Stafford, Reyer Zwiggelaar, C. R. Bull, 1995 .

A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms

Reyer Zwiggelaar, Erika R. E. Denton, Azam Hamidinekoo, 2017, MIUA.

SHREC 2020: Retrieval of digital surfaces with similar geometric reliefs

Andrea Giachetti, Konstantinos Moustakas, Minh-Triet Tran, 2020, Comput. Graph..

Computer technology in detection and staging of prostate carcinoma: A review

Reyer Zwiggelaar, Stuart Williams, Yanong Zhu, 2006, Medical Image Anal..

Semantic Analysis on Medical Images: A Case Study

Da Qi, Reyer Zwiggelaar, Erika R. E. Denton, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Volumetric Texture Analysis: Towards the Third Dimension

Reyer Zwiggelaar, Lilian Blot, 2003 .

Mammographic Risk Assessment Based on Anatomical Linear Structures

Reyer Zwiggelaar, Erika R. E. Denton, Edward M. Hadley, 2006, Digital Mammography / IWDM.

Multiscale connected chain topological modelling for microcalcification classification

Minu George, Reyer Zwiggelaar, Zhili Chen, 2019, Comput. Biol. Medicine.

Unsupervised segmentation for multiple sclerosis lesions in multimodality Magnetic Resonance images

Siping Chen, Reyer Zwiggelaar, Ziming Zeng, 2015, 2015 8th International Conference on Biomedical Engineering and Informatics (BMEI).

When Less is More: Improvements in Medical Image Segmentation through Spatial Sub-Sampling

Reyer Zwiggelaar, Paul A. Bromiley, Frederick Labrosse, 2007 .

Confidence Analysis for Breast Mass Image Classification

Hui Wang, Philip J. Morrow, Bryan W. Scotney, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Computer-aided detection of prostate cancer in T2-weighted MRI within the peripheral zone

Reyer Zwiggelaar, Andrik Rampun, Paul Malcolm, 2016, Physics in medicine and biology.

Modelling mammographic microcalcification clusters using persistent mereotopology

Reyer Zwiggelaar, Erika R. E. Denton, Zhili Chen, 2014, Pattern Recognit. Lett..

Region-based active surface modelling and alpha matting for unsupervised tumour segmentation in PET

Reyer Zwiggelaar, Jue Wang, Ziming Zeng, 2012, 2012 19th IEEE International Conference on Image Processing.

Detecting Abnormal Mammographic Cases in Temporal Studies Using Image Registration Features

Xavier Lladó, Robert Marti, Arnau Oliver, 2014, Digital Mammography / IWDM.

A Comparison of Breast Tissue Classification Techniques

Robert Marti, Arnau Oliver, Jordi Freixenet, 2006, MICCAI.

Use of Spectral Information and Machine Vision for Bruise Detection on Peaches and Apricots

Reyer Zwiggelaar, Qingsheng Yang, C. R. Bull, 1996 .

An Estimation of Firmness for Solid Ellipsoidal Fruits

Reyer Zwiggelaar, Feng Ouyang, Lilian Blot, 2005 .

Unsupervised Brain Tissue Segmentation by Using Bias Correction Fuzzy C-Means and Class-Adaptive Hidden Markov Random Field Modelling

Liping Wang, Reyer Zwiggelaar, Chunlei Han, 2014 .

Local Greylevel Appearance Histogram Based Texture Segmentation

Reyer Zwiggelaar, 2010, Digital Mammography / IWDM.

Image classification: A novel texture signature approach

Reyer Zwiggelaar, Wenda He, Wenda He, 2010, 2010 IEEE International Conference on Image Processing.

Automated quality assurance in mammographic imaging

Reyer Zwiggelaar, A. Davis, Lilian Blot, 2000 .

Local Feature Based Breast Tissue Appearance Modelling for Mammographic Risk Assessment

Reyer Zwiggelaar, Erika R. E. Denton, Zhili Chen, 2013 .

A modified fuzzy c-means algorithm for breast tissue density segmentation in mammograms

Reyer Zwiggelaar, Zhili Chen, R. Zwiggelaar, 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

X-ray Simulations for Imaging Applications in the Agricultural and Food Industries

Reyer Zwiggelaar, Michael J. Mooney, C. R. Bull, 1996 .

Fuzzy-rough approaches for mammographic risk analysis

Reyer Zwiggelaar, Qiang Shen, Richard Jensen, 2010, Intell. Data Anal..

Breast ultrasound lesions recognition: end-to-end deep learning approaches

Manu Goyal, Reyer Zwiggelaar, Arne Juette, 2018, Journal of medical imaging.

Incorporating New Points

Reyer Zwiggelaar, Harry Strange, 2014 .

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks

Reyer Zwiggelaar, Joan Martí, Gerard Pons, 2018, IEEE Journal of Biomedical and Health Informatics.

Modelling Cancer Risk

Reyer Zwiggelaar, Erika R. E. Denton, Harry Strange, 2014 .

Unsupervised tumour segmentation in PET using local and global intensity-fitting active surface and alpha matting

Reyer Zwiggelaar, Bernard Tiddeman, Jue Wang, 2013, Comput. Biol. Medicine.

Parallel Projections for Manifold Learning

Reyer Zwiggelaar, Harry Strange, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

Automatic classification of breast density

Arnau Oliver, Jordi Freixenet, Reyer Zwiggelaar, 2005, IEEE International Conference on Image Processing 2005.

Nonrigid 3D Shape Retrieval with HAPPS: A Novel Hybrid Augmented Point Pair Signature

Yonghuai Liu, Reyer Zwiggelaar, Ekpo Otu, 2019, 2019 International Conference on Computational Science and Computational Intelligence (CSCI).

Mammographic Registration: Proposal and Evaluation of a New Approach

Robert Marti, Arnau Oliver, Reyer Zwiggelaar, 2006, Digital Mammography / IWDM.

Classification of linear structures in mammographic images

Caroline Boggis, Reyer Zwiggelaar, 2001 .

Evaluation of Graph Topological Features in Digitized Mammogram for Microcalcification Cluster Classification

Reyer Zwiggelaar, Nashid Alam, 2018, 2018 Digital Image Computing: Techniques and Applications (DICTA).

Automated Quality Assurance Applied to Mammographic Imaging

Robert Marti, Reyer Zwiggelaar, Lilian Blot, 2002, EURASIP J. Adv. Signal Process..

Detection of Prostate Abnormality within the Peripheral Zone using Local Peak Information

Reyer Zwiggelaar, Andrik Rampun, Paul Malcolm, 2014, ICPRAM.

Extracting background texture in mammographic images: a co-occurrence matrices based approach

Reyer Zwiggelaar, Lilian Blot, R. Zwiggelaar, 2000 .

Mammogram breast density classification using mean-elliptical local binary patterns

Minu George, Reyer Zwiggelaar, Erika R. E. Denton, 2018, Other Conferences.

Breast Tissue Classification Using Local Binary Pattern Variants: A Comparative Study

Minu George, Reyer Zwiggelaar, R. Zwiggelaar, 2018, MIUA.

A Quantitative Study of Texture Features across Different Window Sizes in Prostate T2-weighted MRI

Liping Wang, Reyer Zwiggelaar, Andrik Rampun, 2016, MIUA.

A review of automatic mass detection and segmentation in mammographic images

Arnau Oliver, Jordi Freixenet, Reyer Zwiggelaar, 2010, Medical Image Anal..

Modelling Breast Tissue in Mammograms for Mammographic Risk Assessment

Reyer Zwiggelaar, Erika R. E. Denton, Zhili Chen, 2011, MIUA.

International Conference on Engineering and Technology for Sustainable Development 2015

Zahari Taha, Reyer Zwiggelaar, Suzana Yusup, 2016 .

Semi-Supervised Muscle Fibre Segmentation via Superpixel Label Propagation

Reyer Zwiggelaar, Ian Scott, Harry Strange, 2015, MIUA.

A Voting-Based Encoding Technique for the Classification of Gleason Score for Prostate Cancers

Arif Mahmood, Liping Wang, Reyer Zwiggelaar, 2018, MIUA.

Proceedings of the 8th international conference on Digital Mammography

Susan M. Astley, Michael Brady, Reyer Zwiggelaar, 2006 .

Groupwise Non-Rigid Image Alignment Using Few Parameters: Registration of Facial and Medical Images

Reyer Zwiggelaar, Bernard Tiddeman, Paul Malcolm, 2019 .

Iterative Hyperplane Merging: A Framework for Manifold Learning

Reyer Zwiggelaar, Harry Strange, 2010, BMVC.

Texture Based Segmentation

Reyer Zwiggelaar, Erika R. E. Denton, E. Denton, 2006, Digital Mammography / IWDM.

Linear and Non-Linear Modelling of Scale-Orientation Signatures

Christopher J. Taylor, Reyer Zwiggelaar, 1998, NMBIA.

Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions

Xianghua Xie, Jingjing Deng, Reyer Zwiggelaar, 2016, Image Vis. Comput..

A Generalised Solution to the Out-of-Sample Extension Problem in Manifold Learning

Reyer Zwiggelaar, Harry Strange, 2011, AAAI.

Classification of mammographic microcalcification clusters using a combination of topological and location modelling

Reyer Zwiggelaar, Oluwaseun Ashiru, 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).

Meningioma subtype classification using morphology features and random forests

Reyer Zwiggelaar, Harry Strange, R. Zwiggelaar, 2013, Medical Imaging.

Single-Input Multi-Output U-Net for Automated 2D Foetal Brain Segmentation of MR Images

Bryan W. Scotney, Reyer Zwiggelaar, Andrik Rampun, 2021, J. Imaging.

Prostate Cancer Detection Using Image-Based Features in Dynamic Contrast Enhanced MRI

Yuanjie Zheng, Liping Wang, Reyer Zwiggelaar, 2021, MIUA.

SHREC 2021: Surface-based Protein Domains Retrieval

Genki Terashi, Daisuke Kihara, Yonghuai Liu, 2021, 3DOR.

SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties

Daisuke Kihara, Konstantinos Moustakas, Evangelia I. Zacharaki, 2021, Comput. Graph..

Realism of mammography tissue patches simulated using Perlin noise: a forced choice reading study

Reyer Zwiggelaar, Magnus Dustler, Predrag Bakic, 2021 .

Facial Behavioral Analysis: A Case Study in Deception Detection

Hassan Ugail, Reyer Zwiggelaar, Moi Hoon Yap, 2014 .

2 D-3 D Correspondence in Mammography

Reyer Zwiggelaar, Erika Denton, E. Denton, 2022 .

Combining Texture and Hyperspectral Information for the Classification of Tree Species in Australian Savanna Woodlands

Reyer Zwiggelaar, Wenda He, Peter Bunting, 2009 .

A review of spectral properties of plants and their potential use for crop/weed discrimination in row-crops

Reyer Zwiggelaar, R. Zwiggelaar, 1998 .

Mammographic parenchymal pattern segmentation: A clinical evaluation

Reyer Zwiggelaar, Wenda He, Erika R. E. Denton, 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

A volumetric approach to glandularity estimation in mammography: a feasibility study.

Reyer Zwiggelaar, Lilian Blot, R. Zwiggelaar, 2005, Physics in medicine and biology.

Mammographic Density Classification using Multiresolution Histogram Information

Reyer Zwiggelaar, Izzati Muhimmah, .

Optical determination of fractal dimensions using Fourier transforms

Reyer Zwiggelaar, C. R. Bull, 1995 .

Identification of Enhancing MS Lesions in MR Images using Non-Parametric Image Subtraction

Neil A. Thacker, Reyer Zwiggelaar, Paul A. Bromiley, 2002 .

Mammographic segmentation based on mammographic parenchymal patterns and spatial moments

Reyer Zwiggelaar, Wenda He, Erika R. E. Denton, 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

2D-3D correspondence in mammography

Reyer Zwiggelaar, Caroline M. E. Rubin, Erika R. E. Denton, 2002 .

Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls

Reyer Zwiggelaar, Neil Mac Parthaláin, R. Zwiggelaar, 2012, Journal of breath research.

Computer‐aided diagnosis: detection and localization of prostate cancer within the peripheral zone

Reyer Zwiggelaar, Andrik Rampun, Bernie Tiddeman, 2016, International journal for numerical methods in biomedical engineering.

Review of inspection techniques based on the elastic and inelastic scattering of X-rays and their potential in the food and agricultural industry

Robert D. Speller, Reyer Zwiggelaar, C. R. Bull, 1997 .

Aberystwyth Detection of Prostate Abnormality within the Peripheral Zone Using Grey Level Distribution

Reyer Zwiggelaar, Paul Malcolm, R. Zwiggelaar, 2014 .