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ORCIDErika R. E. Denton
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2020 – today
- 2020
[j14]Moi Hoon Yap, Manu Goyal, Fatima Osman, Robert Martí
, Erika R. E. Denton, Arne Juette, Reyer Zwiggelaar:
Breast ultrasound region of interest detection and lesion localisation. Artif. Intell. Medicine 107: 101880 (2020)
2010 – 2019
- 2019
- [j13]Nashid Alam, Erika R. E. Denton, Reyer Zwiggelaar:
Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based Classifier. J. Imaging 5(9): 76 (2019) - 2018
- [j12]Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar:
Classification of micro-calcification in mammograms using scalable linear Fisher discriminant analysis. Medical Biol. Eng. Comput. 56(8): 1475-1485 (2018) - [j11]Azam Hamidinekoo, Erika R. E. Denton, Andrik Rampun, Kate Honnor, Reyer Zwiggelaar:
Deep learning in mammography and breast histology, an overview and future trends. Medical Image Anal. 47: 45-67 (2018) - [j10]Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar:
Tree-based modelling for the classification of mammographic benign and malignant micro-calcification clusters. Multim. Tools Appl. 77(5): 6135-6148 (2018) - [c39]Minu George, Erika R. E. Denton, Reyer Zwiggelaar:
Mammogram breast density classification using mean-elliptical local binary patterns. IWBI 2018: 107180B - [c38]Zobia Suhail, Arif Mahmood, Erika R. E. Denton, Reyer Zwiggelaar:
Bag of visual words based approach for the classification of benign and malignant masses in mammograms using voting-based feature encoding. IWBI 2018: 107181A - [c37]Azam Hamidinekoo, Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar:
Comparing the performance of various deep networks for binary classification of breast tumours. IWBI 2018: 1071807 - [c36]Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar:
Multi-scale morphological feature extraction for the classification of micro-calcifications. IWBI 2018: 1071812 - [c35]Moi Hoon Yap, Manu Goyal, Fatima Osman, Ezak Ahmad, Robert Martí, Erika R. E. Denton, Arne Juette, Reyer Zwiggelaar:
End-to-end breast ultrasound lesions recognition with a deep learning approach. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057819 - [c34]Nashid Alam, Arnau Oliver, Erika R. E. Denton, Reyer Zwiggelaar:
Automatic Segmentation of Microcalcification Clusters. MIUA 2018: 251-261 - [c33]Minu George, Erika R. E. Denton, Reyer Zwiggelaar:
Topological Connected Chain Modelling for Classification of Mammographic Microcalcification. CGVC 2018: 1-5 - 2017
- [c32]Zobia Suhail, Azam Hamidinekoo, Erika R. E. Denton, Reyer Zwiggelaar:
A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms. MIUA 2017: 355-364 - 2016
- [c31]Wenda He, Sam Harvey, Arne Juette, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Segmentation and Density Classification: A Fractal Inspired Approach. Digital Mammography / IWDM 2016: 359-366 - [c30]Minu George, Andrik Rampun, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Ellipse Modelling Towards Birads Density Classification. Digital Mammography / IWDM 2016: 423-430 - [c29]Minu George, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Ellipse Modelling for Risk Estimation. MIUA 2016: 163-168 - 2015
- [j9]Wenda He, Peter Hogg, Arne Juette, Erika R. E. Denton, Reyer Zwiggelaar:
Breast image pre-processing for mammographic tissue segmentation. Comput. Biol. Medicine 67: 61-73 (2015) - [j8]Zhili Chen, Harry Strange, Arnau Oliver, Erika R. E. Denton, Caroline R. M. Boggis, Reyer Zwiggelaar:
Topological Modeling and Classification of Mammographic Microcalcification Clusters. IEEE Trans. Biomed. Eng. 62(4): 1203-1214 (2015) - [c28]Wenda He, Arne Juette, Erica R. E. Denton, Reyer Zwiggelaar:
Novel multiresolution mammographic density segmentation using pseudo 3D features and adaptive cluster merging. Medical Imaging: Image Processing 2015: 94133I - 2014
- [j7]Harry Strange, Zhili Chen, Erika R. E. Denton, Reyer Zwiggelaar:
Modelling mammographic microcalcification clusters using persistent mereotopology. Pattern Recognit. Lett. 47: 157-163 (2014) - [c27]Wenda He, Minnie Kibiro, Arne Juette, Erika R. E. Denton, Reyer Zwiggelaar:
A Revisit on Correlation between Tabár and Birads Based Risk Assessment Schemes with Full Field Digital Mammography. Digital Mammography / IWDM 2014: 327-333 - [c26]Zhili Chen, Harry Strange, Erika R. E. Denton, Reyer Zwiggelaar:
Analysis of Mammographic Microcalcification Clusters Using Topological Features. Digital Mammography / IWDM 2014: 620-627 - [c25]Wenda He, Minnie Kibiro, Arne Juette, Erika R. E. Denton, Peter Hogg, Reyer Zwiggelaar:
A Novel Image Enhancement Methodology for Full Field Digital Mammography. Digital Mammography / IWDM 2014: 650-657 - [c24]Wenda He, Erika R. E. Denton, Reyer Zwiggelaar:
A Study on Mammographic Image Modelling and Classification Using Multiple Databases. Digital Mammography / IWDM 2014: 696-701 - [c23]Wenda He, Minnie Kibiro, Arne Juette, Peter Hogg, Erika R. E. Denton, Reyer Zwiggelaar:
A Novel Breast Image Preprocessing For Full Field Digital Mammographic Segmentation and Risk Classification. MIUA 2014: 79-84 - 2013
- [c22]Zhili Chen, Liping Wang, Erika R. E. Denton, Reyer Zwiggelaar:
A Multiscale Blob Representation of Mammographic Parenchymal Patterns and Mammographic Risk Assessment. CAIP (2) 2013: 346-353 - [c21]Zhili Chen, Arnau Oliver, Erika R. E. Denton, Reyer Zwiggelaar:
Automated Mammographic Risk Classification Based on Breast Density Estimation. IbPRIA 2013: 237-244 - [c20]Harry Strange, Erika R. E. Denton, Minnie Kibiro, Reyer Zwiggelaar:
Manifold Learning for Density Segmentation in High Risk Mammograms. IbPRIA 2013: 245-252 - 2012
- [c19]Zhili Chen, Erika R. E. Denton, Reyer Zwiggelaar:
Topographic representation based breast density segmentation for mammographic risk assessment. ICIP 2012: 1993-1996 - [c18]Wenda He, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Segmentation and Risk Classification Using a Novel Binary Model Based Bayes Classifier. Digital Mammography / IWDM 2012: 40-47 - [c17]Zhili Chen, Erika R. E. Denton, Reyer Zwiggelaar:
Classification of Microcalcification Clusters Based on Morphological Topology Analysis. Digital Mammography / IWDM 2012: 521-528 - 2011
- [j6]Wenda He, Erika R. E. Denton, Kirsten Stafford, Reyer Zwiggelaar:
Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments. Biomed. Signal Process. Control. 6(3): 321-329 (2011) - [c16]Zhili Chen, Erika R. E. Denton, Reyer Zwiggelaar:
Local feature based mammographic tissue pattern modelling and breast density classification. BMEI 2011: 351-355 - [c15]Zhili Chen, Erika R. E. Denton, Reyer Zwiggelaar:
Modelling Breast Tissue in Mammograms for Mammographic Risk Assessment. MIUA 2011: 37-42 - 2010
- [j5]Arnau Oliver, Xavier Lladó, Elsa Pérez, Josep Pont, Erika R. E. Denton, Jordi Freixenet, Joan Martí:
A Statistical Approach for Breast Density Segmentation. J. Digit. Imaging 23(5): 527-537 (2010) - [j4]Arnau Oliver, Jordi Freixenet, Joan Martí, Elsa Pérez, Josep Pont, Erika R. E. Denton, Reyer Zwiggelaar:
A review of automatic mass detection and segmentation in mammographic images. Medical Image Anal. 14(2): 87-110 (2010) - [c14]Wenda He, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Image Segmentation and Risk Classification Using a Novel Texture Signature Based Methodology. Digital Mammography / IWDM 2010: 526-533
2000 – 2009
- 2008
- [j3]Arnau Oliver, Jordi Freixenet, Robert Marti, Josep Pont, Elsa Pérez, Erika R. E. Denton, Reyer Zwiggelaar:
A Novel Breast Tissue Density Classification Methodology. IEEE Trans. Inf. Technol. Biomed. 12(1): 55-65 (2008) - [c13]Wenda He, Izzati Muhimmah, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Segmentation Based on Texture Modelling of Tabár Mammographic Building Blocks. Digital Mammography / IWDM 2008: 17-24 - [c12]Da Qi, Erika R. E. Denton, Joanna M. E. Leason, Diaa Othman, Reyer Zwiggelaar:
The Evaluation of Effects on Breast Cancer Diagnoses When Using Mammographic Semantic Information. Digital Mammography / IWDM 2008: 307-314 - [c11]Edward M. Hadley, Erika R. E. Denton, Josep Pont, Elsa Pérez, Reyer Zwiggelaar:
Analysis of Anatomical Linear Structure Information in Mammographic Risk Assessment. Digital Mammography / IWDM 2008: 483-490 - 2007
- [c10]Edward M. Hadley, Erika R. E. Denton, Josep Pont, Elsa Pérez, Reyer Zwiggelaar:
Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information. IbPRIA (2) 2007: 186-193 - 2006
- [c9]Da Qi, Erika R. E. Denton, Reyer Zwiggelaar:
Semantic Analysis on Medical Images: A Case Study. ICPR (1) 2006: 1260-1263 - [c8]Da Qi, Erika R. E. Denton, Reyer Zwiggelaar:
Linking Image Structures with Medical Ontology Information. Digital Mammography / IWDM 2006: 399-406 - [c7]Izzati Muhimmah, Arnau Oliver, Erika R. E. Denton, Josep Pont, Elsa Pérez, Reyer Zwiggelaar:
Comparison Between Wolfe, Boyd, BI-RADS and Tabár Based Mammographic Risk Assessment. Digital Mammography / IWDM 2006: 407-415 - [c6]Reyer Zwiggelaar, Erika R. E. Denton:
Texture Based Segmentation. Digital Mammography / IWDM 2006: 433-440 - [c5]Edward M. Hadley, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Risk Assessment Based on Anatomical Linear Structures. Digital Mammography / IWDM 2006: 626-633 - 2004
- [j2]Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin, Erika R. E. Denton:
Two-Dimensional-Three-Dimensional Correspondence in Mammography. Cybern. Syst. 35(1): 85-105 (2004) - 2003
- [c4]Reyer Zwiggelaar, Lilian Blot, David Raba, Erika R. E. Denton:
Set-Permutation-Occurrence Matrix Based Texture Segmentation. IbPRIA 2003: 1099-1107 - 2000
- [j1]Mark Holden, Derek L. G. Hill, Erika R. E. Denton, Jo M. Jarosz, Tim C. S. Cox, Torsten Rohlfing, Joanne Goodey, David J. Hawkes:
Voxel Similarity Measures for 3D Serial MR Brain Image Registration. IEEE Trans. Medical Imaging 19(2): 94-102 (2000)
1990 – 1999
- 1999
- [c3]Mark Holden, Derek L. G. Hill, Erika R. E. Denton, Jo M. Jarosz, Tim C. S. Cox, David J. Hawkes:
Voxel Similarity Measures for 3D Serial MR Brain Image Registration. IPMI 1999: 472-477 - [c2]Mark Holden, Erica R. E. Denton, Jo M. Jarosz, Tim C. S. Cox, Colin Studholme, David John Hawkes, Derek L. G. Hill:
Detecting small anatomical change with 3D serial MR subtraction images. Medical Imaging: Image Processing 1999 - [c1]Daniel Rueckert, Luke I. Sonoda, Erica R. E. Denton, S. Rankin, Carmel Hayes, Martin O. Leach, Derek L. G. Hill, David John Hawkes:
Comparison and evaluation of rigid and nonrigid registration of breast MR images. Medical Imaging: Image Processing 1999
Coauthor Index
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