Voxel Similarity Measures for 3D Serial MR Brain Image Registration. - Mark Holden; Derek L. G. Hill; Erika R. E. Denton; Jo M. Jarosz; Tim C. S. Cox; David J. Hawkes (IPMI, 1999)

Detecting small anatomical change with 3D serial MR subtraction images. - Mark Holden; Erica R. E. Denton; Jo M. Jarosz; Tim C. S. Cox; Colin Studholme; David John Hawkes; Derek L. G. Hill (Image Processing, 1999)

Comparison and evaluation of rigid and nonrigid registration of breast MR images. - Daniel Rueckert; Luke I. Sonoda; Erica R. E. Denton; S. Rankin; Carmel Hayes; Martin O. Leach; Derek L. G. Hill; David John Hawkes (Image Processing, 1999)

Voxel Similarity Measures for 3D Serial MR Brain Image Registration. - Mark Holden; Derek L. G. Hill; Erika R. E. Denton; Jo M. Jarosz; Tim C. S. Cox; Torsten Rohlfing; Joanne Goodey; David J. Hawkes (IEEE Trans. Medical Imaging, 2000)

Set-Permutation-Occurrence Matrix Based Texture Segmentation. - Reyer Zwiggelaar; Lilian Blot; David Raba; Erika R. E. Denton (IbPRIA, 2003)

Two-Dimensional-Three-Dimensional Correspondence in Mammography. - Robert Marti; Reyer Zwiggelaar; Caroline M. E. Rubin; Erika R. E. Denton (Cybern. Syst., 2004)

Semantic Analysis on Medical Images: A Case Study. - Da Qi; Erika R. E. Denton; Reyer Zwiggelaar (ICPR (1), 2006)

Mammographic Risk Assessment Based on Anatomical Linear Structures. - Edward M. Hadley; Erika R. E. Denton; Reyer Zwiggelaar (Digital Mammography / IWDM, 2006)

Comparison Between Wolfe, Boyd, BI-RADS and Tabár Based Mammographic Risk Assessment. - Izzati Muhimmah; Arnau Oliver; Erika R. E. Denton; Josep Pont; Elsa Pérez; Reyer Zwiggelaar (Digital Mammography / IWDM, 2006)

Linking Image Structures with Medical Ontology Information. - Da Qi; Erika R. E. Denton; Reyer Zwiggelaar (Digital Mammography / IWDM, 2006)

Texture Based Segmentation. - Reyer Zwiggelaar; Erika R. E. Denton (Digital Mammography / IWDM, 2006)

Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information. - Edward M. Hadley; Erika R. E. Denton; Josep Pont; Elsa Pérez; Reyer Zwiggelaar (IbPRIA (2), 2007)

Analysis of Anatomical Linear Structure Information in Mammographic Risk Assessment. - Edward M. Hadley; Erika R. E. Denton; Josep Pont; Elsa Pérez; Reyer Zwiggelaar (Digital Mammography / IWDM, 2008)

Mammographic Segmentation Based on Texture Modelling of Tabár Mammographic Building Blocks. - Wenda He; Izzati Muhimmah; Erika R. E. Denton; Reyer Zwiggelaar (Digital Mammography / IWDM, 2008)

The Evaluation of Effects on Breast Cancer Diagnoses When Using Mammographic Semantic Information. - Da Qi; Erika R. E. Denton; Joanna M. E. Leason; Diaa Othman; Reyer Zwiggelaar (Digital Mammography / IWDM, 2008)

A Novel Breast Tissue Density Classification Methodology. - Arnau Oliver; Jordi Freixenet; Robert Marti; Josep Pont; Elsa Pérez; Erika R. E. Denton; Reyer Zwiggelaar (IEEE Trans. Inf. Technol. Biomed., 2008)

Mammographic Image Segmentation and Risk Classification Using a Novel Texture Signature Based Methodology. - Wenda He; Erika R. E. Denton; Reyer Zwiggelaar (Digital Mammography / IWDM, 2010)

A Statistical Approach for Breast Density Segmentation. - Arnau Oliver; Xavier Lladó; Elsa Pérez; Josep Pont; Erika R. E. Denton; Jordi Freixenet; Joan Martí (J. Digit. Imaging, 2010)

A review of automatic mass detection and segmentation in mammographic images. - Arnau Oliver; Jordi Freixenet; Joan Martí; Elsa Pérez; Josep Pont; Erika R. E. Denton; Reyer Zwiggelaar (Medical Image Anal., 2010)

Local feature based mammographic tissue pattern modelling and breast density classification. - Zhili Chen; Erika R. E. Denton; Reyer Zwiggelaar (BMEI, 2011)

Modelling Breast Tissue in Mammograms for Mammographic Risk Assessment. - Zhili Chen; Erika R. E. Denton; Reyer Zwiggelaar (MIUA, 2011)

Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments. - Wenda He; Erika R. E. Denton; Kirsten Stafford; Reyer Zwiggelaar (Biomed. Signal Process. Control., 2011)

Topographic representation based breast density segmentation for mammographic risk assessment. - Zhili Chen; Erika R. E. Denton; Reyer Zwiggelaar (ICIP, 2012)

Classification of Microcalcification Clusters Based on Morphological Topology Analysis. - Zhili Chen; Erika R. E. Denton; Reyer Zwiggelaar (Digital Mammography / IWDM, 2012)

Mammographic Segmentation and Risk Classification Using a Novel Binary Model Based Bayes Classifier. - Wenda He; Erika R. E. Denton; Reyer Zwiggelaar (Digital Mammography / IWDM, 2012)

A Multiscale Blob Representation of Mammographic Parenchymal Patterns and Mammographic Risk Assessment. - Zhili Chen; Liping Wang 003; Erika R. E. Denton; Reyer Zwiggelaar (CAIP (2), 2013)

Automated Mammographic Risk Classification Based on Breast Density Estimation. - Zhili Chen; Arnau Oliver; Erika R. E. Denton; Reyer Zwiggelaar (IbPRIA, 2013)

Manifold Learning for Density Segmentation in High Risk Mammograms. - Harry Strange; Erika R. E. Denton; Minnie Kibiro; Reyer Zwiggelaar (IbPRIA, 2013)

Analysis of Mammographic Microcalcification Clusters Using Topological Features. - Zhili Chen; Harry Strange; Erika R. E. Denton; Reyer Zwiggelaar (Digital Mammography / IWDM, 2014)

A Study on Mammographic Image Modelling and Classification Using Multiple Databases. - Wenda He; Erika R. E. Denton; Reyer Zwiggelaar (Digital Mammography / IWDM, 2014)

A Novel Image Enhancement Methodology for Full Field Digital Mammography. - Wenda He; Minnie Kibiro; Arne Juette; Erika R. E. Denton; Peter Hogg; Reyer Zwiggelaar (Digital Mammography / IWDM, 2014)

A Revisit on Correlation between Tabár and Birads Based Risk Assessment Schemes with Full Field Digital Mammography. - Wenda He; Minnie Kibiro; Arne Juette; Erika R. E. Denton; Reyer Zwiggelaar (Digital Mammography / IWDM, 2014)

A Novel Breast Image Preprocessing For Full Field Digital Mammographic Segmentation and Risk Classification. - Wenda He; Minnie Kibiro; Arne Juette; Peter Hogg; Erika R. E. Denton; Reyer Zwiggelaar (MIUA, 2014)

Modelling mammographic microcalcification clusters using persistent mereotopology. - Harry Strange; Zhili Chen; Erika R. E. Denton; Reyer Zwiggelaar (Pattern Recognit. Lett., 2014)

Novel multiresolution mammographic density segmentation using pseudo 3D features and adaptive cluster merging. - Wenda He; Arne Juette; Erica R. E. Denton; Reyer Zwiggelaar (Image Processing, 2015)

Breast image pre-processing for mammographic tissue segmentation. - Wenda He; Peter Hogg; Arne Juette; Erika R. E. Denton; Reyer Zwiggelaar (Comput. Biol. Medicine, 2015)

Topological Modeling and Classification of Mammographic Microcalcification Clusters. - Zhili Chen; Harry Strange; Arnau Oliver; Erika R. E. Denton; Caroline R. M. Boggis; Reyer Zwiggelaar (IEEE Trans. Biomed. Eng., 2015)

Mammographic Ellipse Modelling Towards Birads Density Classification. - Minu George; Andrik Rampun; Erika R. E. Denton; Reyer Zwiggelaar (Digital Mammography / IWDM, 2016)

Mammographic Segmentation and Density Classification: A Fractal Inspired Approach. - Wenda He; Sam Harvey; Arne Juette; Erika R. E. Denton; Reyer Zwiggelaar (Digital Mammography / IWDM, 2016)

Mammographic Ellipse Modelling for Risk Estimation. - Minu George; Erika R. E. Denton; Reyer Zwiggelaar (MIUA, 2016)

A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms. - Zobia Suhail; Azam Hamidinekoo; Erika R. E. Denton; Reyer Zwiggelaar (MIUA, 2017)

Mammogram breast density classification using mean-elliptical local binary patterns. - Minu George; Erika R. E. Denton; Reyer Zwiggelaar (IWBI, 2018)

Comparing the performance of various deep networks for binary classification of breast tumours. - Azam Hamidinekoo; Zobia Suhail; Erika R. E. Denton; Reyer Zwiggelaar (IWBI, 2018)

Multi-scale morphological feature extraction for the classification of micro-calcifications. - Zobia Suhail; Erika R. E. Denton; Reyer Zwiggelaar (IWBI, 2018)

Bag of visual words based approach for the classification of benign and malignant masses in mammograms using voting-based feature encoding. - Zobia Suhail; Arif Mahmood; Erika R. E. Denton; Reyer Zwiggelaar (IWBI, 2018)

End-to-end breast ultrasound lesions recognition with a deep learning approach. - Moi Hoon Yap; Manu Goyal; Fatima Osman; Ezak Ahmad; Robert Martí; Erika R. E. Denton; Arne Juette; Reyer Zwiggelaar (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Automatic Segmentation of Microcalcification Clusters. - Nashid Alam; Arnau Oliver; Erika R. E. Denton; Reyer Zwiggelaar (MIUA, 2018)

Topological Connected Chain Modelling for Classification of Mammographic Microcalcification. - Minu George; Erika R. E. Denton; Reyer Zwiggelaar (CGVC, 2018)

Classification of micro-calcification in mammograms using scalable linear Fisher discriminant analysis. - Zobia Suhail; Erika R. E. Denton; Reyer Zwiggelaar (Medical Biol. Eng. Comput., 2018)

Deep learning in mammography and breast histology, an overview and future trends. - Azam Hamidinekoo; Erika R. E. Denton; Andrik Rampun; Kate Honnor; Reyer Zwiggelaar (Medical Image Anal., 2018)

Tree-based modelling for the classification of mammographic benign and malignant micro-calcification clusters. - Zobia Suhail; Erika R. E. Denton; Reyer Zwiggelaar (Multim. Tools Appl., 2018)

Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based Classifier. - Nashid Alam; Erika R. E. Denton; Reyer Zwiggelaar (J. Imaging, 2019)

Breast ultrasound region of interest detection and lesion localisation. - Moi Hoon Yap; Manu Goyal; Fatima Osman; Robert Martí; Erika R. E. Denton; Arne Juette; Reyer Zwiggelaar (Artif. Intell. Medicine, 2020)

An interpretable CNN-based model for mass classification in mammography. - Guobin Li; Mou Zhou; Yu Fu; Nashid Alam; Erika R. E. Denton; Reyer Zwiggelaar (Knowl. Based Syst., 2025)