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Reyer Zwiggelaar
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2020 – today
- 2024
- [j39]Guobin Li, Reyer Zwiggelaar:
Feature learning based on connectivity estimation for unbiased mammography mass classification. Comput. Vis. Image Underst. 238: 103884 (2024) - [c118]Bishnu Paudel, Reyer Zwiggelaar, Otar Akanyeti:
Expert Model Prediction Through Feature Matching. MIUA (2) 2024: 256-269 - [e8]Moi Hoon Yap
, Connah Kendrick
, Ardhendu Behera, Timothy Cootes, Reyer Zwiggelaar:
Medical Image Understanding and Analysis - 28th Annual Conference, MIUA 2024, Manchester, UK, July 24-26, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14859, Springer 2024, ISBN 978-3-031-66954-5 [contents] - [e7]Moi Hoon Yap
, Connah Kendrick
, Ardhendu Behera, Timothy Cootes, Reyer Zwiggelaar:
Medical Image Understanding and Analysis - 28th Annual Conference, MIUA 2024, Manchester, UK, July 24-26, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14860, Springer 2024, ISBN 978-3-031-66957-6 [contents] - 2023
- [c117]Sanjay Dutta, Jay Burk, Roger Santer, Reyer Zwiggelaar, Tossapon Boongoen:
Noise Profiling for ANNs: A Bio-inspired Approach. UKCI 2023: 140-153 - [e6]Reyer Zwiggelaar, Geetha Ganesan, Qiang Shawn Cheng, Ke-Lin Du, Srinivasa Rao Satti:
Proceedings of the Algorithms, Computing and Mathematics Conference 2022 (ACM 2022), Hybrid Event, Chennai, India, August 29 - 30, 2022. CEUR Workshop Proceedings 3445, CEUR-WS.org 2023 [contents] - 2022
- [c116]Bishnu Paudel, Reyer Zwiggelaar, Otar Akanyeti:
Snapshot Ensemble on Brain MRI Segmentation. UKCI 2022: 392-402 - 2021
- [j38]Andrea Raffo
, Ulderico Fugacci
, Silvia Biasotti
, Walter Rocchia, Yonghuai Liu, Ekpo Otu
, Reyer Zwiggelaar, David Hunter, Evangelia I. Zacharaki, Eleftheria Psatha, Dimitrios Laskos
, Gerasimos Arvanitis
, Konstantinos Moustakas, Tunde Aderinwale, Charles Christoffer, Woong-Hee Shin
, Daisuke Kihara, Andrea Giachetti, Huu-Nghia Nguyen, Tuan-Duy Nguyen, Vinh-Thuyen Nguyen-Truong, Danh Le-Thanh, Hai-Dang Nguyen
, Minh-Triet Tran
:
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties. Comput. Graph. 99: 1-21 (2021) - [j37]Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Reyer Zwiggelaar
, Bryan W. Scotney, Paul A. Armitage:
Single-Input Multi-Output U-Net for Automated 2D Foetal Brain Segmentation of MR Images. J. Imaging 7(10): 200 (2021) - [c115]Florent Langenfeld, Tunde Aderinwale, Charles Christoffer, Woong-Hee Shin, Genki Terashi, Xiao Wang, Daisuke Kihara, Halim Benhabiles
, Karim Hammoudi, Adnane Cabani, Féryal Windal, Mahmoud Melkemi, Ekpo Otu, Reyer Zwiggelaar, David Hunter, Yonghuai Liu, Léa Sirugue, Huu-Nghia H. Nguyen, Tuan-Duy H. Nguyen, Vinh-Thuyen Nguyen-Truong, Danh Le, Hai-Dang Nguyen
, Minh-Triet Tran, Matthieu Montès:
SHREC 2021: Surface-based Protein Domains Retrieval. 3DOR 2021: 19-26 - [c114]Liping Wang, Yuanjie Zheng, Andrik Rampun, Reyer Zwiggelaar:
Prostate Cancer Detection Using Image-Based Features in Dynamic Contrast Enhanced MRI. MIUA 2021: 43-55 - 2020
- [j36]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) - [j35]Yanpeng Qu
, Qilin Fu, Changjing Shang, Ansheng Deng, Reyer Zwiggelaar, Minu George, Qiang Shen:
Fuzzy-rough assisted refinement of image processing procedure for mammographic risk assessment. Appl. Soft Comput. 91: 106230 (2020) - [j34]Ufuk Cem Birbiri, Azam Hamidinekoo
, Amélie Grall, Paul Malcolm, Reyer Zwiggelaar
:
Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation. J. Imaging 6(9): 83 (2020)
2010 – 2019
- 2019
- [j33]Yanpeng Qu
, Guanli Yue, Changjing Shang, Longzhi Yang
, Reyer Zwiggelaar, Qiang Shen
:
Multi-criterion mammographic risk analysis supported with multi-label fuzzy-rough feature selection. Artif. Intell. Medicine 100 (2019) - [j32]Minu George, Zhili Chen, Reyer Zwiggelaar:
Multiscale connected chain topological modelling for microcalcification classification. Comput. Biol. Medicine 114 (2019) - [j31]Minu George
, Reyer Zwiggelaar
:
Comparative Study on Local Binary Patterns for Mammographic Density and Risk Scoring. J. Imaging 5(2): 24 (2019) - [j30]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) - [j29]Andrik Rampun, Karen López-Linares
, Philip J. Morrow
, Bryan W. Scotney, Hui Wang
, Inmaculada Garcia Ocaña, Gregory Maclair, Reyer Zwiggelaar, Miguel Ángel González Ballester, Iván Macía:
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network. Medical Image Anal. 57: 1-17 (2019) - [c113]Amélie Grall, Azam Hamidinekoo
, Paul Malcolm
, Reyer Zwiggelaar
:
Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation. MIUA 2019: 15-25 - [c112]Zobia Suhail
, Reyer Zwiggelaar
:
Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcifications. MIUA 2019: 48-58 - [c111]Kieran Stone
, Reyer Zwiggelaar, Phil Jones, Neil Mac Parthaláin
:
Predicting Hospital Length of Stay for Accident and Emergency Admissions. UKCI 2019: 283-295 - [e5]Alberto Cliquet Junior, Sheldon Wiebe, Paul E. Anderson, Giovanni Saggio, Reyer Zwiggelaar, Hugo Gamboa, Ana L. N. Fred
, Sergi Bermúdez i Badia
:
Biomedical Engineering Systems and Technologies - 11th International Joint Conference, BIOSTEC 2018, Funchal, Madeira, Portugal, January 19-21, 2018, Revised Selected Papers. Communications in Computer and Information Science 1024, Springer 2019, ISBN 978-3-030-29195-2 [contents] - 2018
- [j28]Zobia Suhail
, Azam Hamidinekoo, Reyer Zwiggelaar:
Mammographic mass classification using filter response patches. IET Comput. Vis. 12(8): 1060-1066 (2018) - [j27]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) - [j26]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) - [j25]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) - [j24]Moi Hoon Yap
, Gerard Pons
, Joan Martí, Sergi Ganau
, Melcior Sentís
, Reyer Zwiggelaar, Adrian K. Davison, Robert Marti
:
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 22(4): 1218-1226 (2018) - [c110]Azam Hamidinekoo, Zaineb Chelly Dagdia
, Zobia Suhail, Reyer Zwiggelaar:
Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification. IEEE BigData 2018: 2423-2432 - [c109]Nashid Alam, Reyer Zwiggelaar:
Evaluation of Graph Topological Features in Digitized Mammogram for Microcalcification Cluster Classification. DICTA 2018: 1-7 - [c108]Rong Zhao, Yanpeng Qu, Ansheng Deng, Reyer Zwiggelaar:
Inconsistency Measure Associated Discretization Methods to Network-based Intrusion Detection. FUZZ-IEEE 2018: 1-6 - [c107]Rong Zhao, Yanpeng Qu, Ansheng Deng, Reyer Zwiggelaar:
A density-based discretization method with inconsistency evaluation. ICACI 2018: 758-763 - [c106]Andrik Rampun, Hui Wang
, Bryan W. Scotney, Philip J. Morrow, Reyer Zwiggelaar:
Confidence Analysis for Breast Mass Image Classification. ICIP 2018: 2072-2076 - [c105]Minu George, Erika R. E. Denton, Reyer Zwiggelaar:
Mammogram breast density classification using mean-elliptical local binary patterns. IWBI 2018: 107180B - [c104]Andrik Rampun, Hui Wang
, Bryan W. Scotney, Philip J. Morrow, Reyer Zwiggelaar:
Classification of mammographic microcalcification clusters with machine learning confidence levels. IWBI 2018: 107181B - [c103]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 - [c102]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 - [c101]Zobia Suhail, Erika R. E. Denton, Reyer Zwiggelaar:
Multi-scale morphological feature extraction for the classification of micro-calcifications. IWBI 2018: 1071812 - [c100]Nashid Alam, Reyer Zwiggelaar:
Automatic classification of clustered microcalcifications in digitized mammogram using ensemble learning. IWBI 2018: 1071816 - [c99]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 - [c98]Zobia Suhail, Arif Mahmood
, Liping Wang, Paul N. Malcolm, Reyer Zwiggelaar:
A Voting-Based Encoding Technique for the Classification of Gleason Score for Prostate Cancers. MIUA 2018: 74-83 - [c97]Minu George, Reyer Zwiggelaar:
Breast Tissue Classification Using Local Binary Pattern Variants: A Comparative Study. MIUA 2018: 143-152 - [c96]Nashid Alam, Arnau Oliver, Erika R. E. Denton, Reyer Zwiggelaar:
Automatic Segmentation of Microcalcification Clusters. MIUA 2018: 251-261 - [c95]Minu George, Erika R. E. Denton, Reyer Zwiggelaar:
Topological Connected Chain Modelling for Classification of Mammographic Microcalcification. CGVC 2018: 1-5 - [c94]Ahmad Aal-Yhia, Paul Malcolm, Otar Akanyeti, Reyer Zwiggelaar, Bernard Tiddeman
:
Groupwise Non-rigid Image Alignment With Graph-based Initialisation. CGVC 2018: 15-21 - [e4]Reyer Zwiggelaar, Hugo Gamboa, Ana L. N. Fred, Sergi Bermúdez i Badia:
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 5: HEALTHINF, Funchal, Madeira, Portugal, January 19-21, 2018. SciTePress 2018, ISBN 978-989-758-281-3 [contents] - [e3]Mark S. Nixon, Sasan Mahmoodi, Reyer Zwiggelaar:
Medical Image Understanding and Analysis - 22nd Conference, MIUA 2018, Southampton, UK, July 9-11, 2018, Proceedings. Communications in Computer and Information Science 894, Springer 2018, ISBN 978-3-319-95920-7 [contents] - 2017
- [c93]Qiangyi Zhang, Yanpeng Qu
, Ansheng Deng, Reyer Zwiggelaar:
A clustering reduction algorithm for fuzzy concept lattice. ICNC-FSKD 2017: 1894-1899 - [c92]Azam Hamidinekoo, Reyer Zwiggelaar:
Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images. DLMIA/ML-CDS@MICCAI 2017: 213-221 - [c91]Liping Wang, Reyer Zwiggelaar:
3D Texton Based Prostate Cancer Detection Using Multiparametric Magnetic Resonance Imaging. MIUA 2017: 309-319 - [c90]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 - [c89]Azam Hamidinekoo, Zobia Suhail, Talha Qaiser, Reyer Zwiggelaar:
Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification. MIUA 2017: 398-409 - 2016
- [j23]Sandra González-Villà
, Arnau Oliver
, Sergi Valverde, Liping Wang, Reyer Zwiggelaar
, Xavier Lladó
:
A review on brain structures segmentation in magnetic resonance imaging. Artif. Intell. Medicine 73: 45-69 (2016) - [j22]Ben Daubney, Xianghua Xie, Jingjing Deng
, Neil Mac Parthaláin
, Reyer Zwiggelaar:
Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions. Image Vis. Comput. 52: 73-87 (2016) - [c88]Oluwaseun Ashiru, Reyer Zwiggelaar:
Classification of mammographic microcalcification clusters using a combination of topological and location modelling. IPTA 2016: 1-6 - [c87]Cuiping Ding, Min Dong, Hongjuan Zhang, Yide Ma, Yaping Yan, Reyer Zwiggelaar:
Nonlinear Local Transformation Based Mammographic Image Enhancement. Digital Mammography / IWDM 2016: 167-173 - [c86]Harry Strange, Reyer Zwiggelaar:
Non-expert Classification of Microcalcification Clusters Using Mereotopological Barcodes. Digital Mammography / IWDM 2016: 351-358 - [c85]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 - [c84]Minu George, Andrik Rampun, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Ellipse Modelling Towards Birads Density Classification. Digital Mammography / IWDM 2016: 423-430 - [c83]Andrik Rampun, Liping Wang, Paul Malcolm, Reyer Zwiggelaar:
A Quantitative Study of Texture Features across Different Window Sizes in Prostate T2-weighted MRI. MIUA 2016: 74-79 - [c82]Minu George, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Ellipse Modelling for Risk Estimation. MIUA 2016: 163-168 - 2015
- [j21]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) - [j20]Harry Strange, Reyer Zwiggelaar:
Piecewise-linear manifold learning: A heuristic approach to non-linear dimensionality reduction. Intell. Data Anal. 19(6): 1213-1232 (2015) - [j19]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) - [c81]Andrik Rampun, Paul Malcolm, Reyer Zwiggelaar:
A Block-based Approach for Malignancy Detection within the Prostate Peripheral Zone in T2-weighted MRI. BIOIMAGING 2015: 56-63 - [c80]Ziming Zeng, Siping Chen, Lidong Yin, Reyer Zwiggelaar:
Unsupervised segmentation for multiple sclerosis lesions in multimodality Magnetic Resonance images. BMEI 2015: 126-130 - [c79]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 - [c78]Liping Wang, Reyer Zwiggelaar:
Salient Edge Guided 3D Brain MR Image Registration Using Demons. MIUA 2015: 14-19 - [c77]Harry Strange, Ian Scott, Reyer Zwiggelaar:
Semi-Supervised Muscle Fibre Segmentation via Superpixel Label Propagation. MIUA 2015: 100-105 - [c76]Andrik Rampun, Ling Zheng, Paul Malcolm, Reyer Zwiggelaar:
Classifying Benign and Malignant Tissues within the Prostate Peripheral Zone using Textons. MIUA 2015: 138-143 - [c75]Andrik Rampun, Ling Zheng, Paul Malcolm, Reyer Zwiggelaar:
Computer Aided Detection of Prostate Cancer within the Peripheral Zone in T2-Weighted MRI. MIUA 2015: 207-212 - 2014
- [b1]Harry Strange, Reyer Zwiggelaar:
Open Problems in Spectral Dimensionality Reduction. Springer Briefs in Computer Science, Springer 2014, ISBN 978-3-319-03942-8, pp. 1-90 - [j18]Harry Strange, Ian Scott, Reyer Zwiggelaar:
Myofibre segmentation in H&E stained adult skeletal muscle images using coherence-enhancing diffusion filtering. BMC Medical Imaging 14: 38 (2014) - [j17]Meritxell Tortajada, Arnau Oliver
, Robert Marti
, Sergi Ganau
, Lidia Tortajada, Melcior Sentís
, Jordi Freixenet
, Reyer Zwiggelaar:
Breast peripheral area correction in digital mammograms. Comput. Biol. Medicine 50: 32-40 (2014) - [j16]Harry Strange, Zhili Chen, Erika R. E. Denton, Reyer Zwiggelaar:
Modelling mammographic microcalcification clusters using persistent mereotopology. Pattern Recognit. Lett. 47: 157-163 (2014) - [j15]Bashar A. Rajoub, Reyer Zwiggelaar:
Thermal Facial Analysis for Deception Detection. IEEE Trans. Inf. Forensics Secur. 9(6): 1015-1023 (2014) - [c74]Andrik Rampun, Paul Malcolm, Reyer Zwiggelaar:
Computer-aided diagnosis method for MRI-guided prostate biopsy within the peripheral zone using grey level histograms. ICMV 2014: 94451J - [c73]Liping Wang, Ziming Zeng, Reyer Zwiggelaar:
An Improved BET Method for Brain Segmentation. ICPR 2014: 3221-3226 - [c72]Andrik Rampun, Paul Malcolm, Reyer Zwiggelaar:
Detection of Prostate Abnormality within the Peripheral Zone using Local Peak Information. ICPRAM 2014: 510-519 - [c71]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 - [c70]Robert Marti
, Yago Diez
, Arnau Oliver
, Meritxell Tortajada, Reyer Zwiggelaar, Xavier Lladó
:
Detecting Abnormal Mammographic Cases in Temporal Studies Using Image Registration Features. Digital Mammography / IWDM 2014: 612-619 - [c69]Zhili Chen, Harry Strange, Erika R. E. Denton, Reyer Zwiggelaar:
Analysis of Mammographic Microcalcification Clusters Using Topological Features. Digital Mammography / IWDM 2014: 620-627 - [c68]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 - [c67]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 - [c66]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
- [j14]Ziming Zeng
, Jue Wang
, Bernie Tiddeman
, Reyer Zwiggelaar:
Unsupervised tumour segmentation in PET using local and global intensity-fitting active surface and alpha matting. Comput. Biol. Medicine 43(10): 1530-1544 (2013) - [j13]Terry Malone, Bryn Hubbard
, Derek Merton-Lyn, Paul Worthington, Reyer Zwiggelaar:
Borehole and Ice Feature Annotation Tool (BIFAT): A program for the automatic and manual annotation of glacier borehole images. Comput. Geosci. 51: 381-389 (2013) - [c65]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 - [c64]Wenda He, Reyer Zwiggelaar:
Breast Parenchymal Pattern Analysis in Digital Mammography: Associations between Tabár and Birads Tissue Compositions. CAIP (2) 2013: 386-393 - [c63]Nigel W. John, Mark W. Jones, R. Martin, Franck Patrick Vidal
, Reyer Zwiggelaar:
The Research Institude of Visual Computing, RIVIC, UK. Eurographics (Lab Presentations) 2013 - [c62]Moi Hoon Yap
, Hassan Ugail, Reyer Zwiggelaar:
A database for facial behavioural analysis. FG 2013: 1-6 - [c61]Zhili Chen, Arnau Oliver
, Erika R. E. Denton, Reyer Zwiggelaar:
Automated Mammographic Risk Classification Based on Breast Density Estimation. IbPRIA 2013: 237-244 - [c60]Harry Strange, Erika R. E. Denton, Minnie Kibiro, Reyer Zwiggelaar:
Manifold Learning for Density Segmentation in High Risk Mammograms. IbPRIA 2013: 245-252 - [c59]Ziming Zeng, Reyer Zwiggelaar:
Segmentation for Multiple Sclerosis Lesions Based on 3D Volume Enhancement and 3D Alpha Matting. ICIAR 2013: 573-580 - [c58]Ziming Zeng, Harry Strange, Chunlei Han, Reyer Zwiggelaar:
Unsupervised Cell Nuclei Segmentation Based on Morphology and Adaptive Active Contour Modelling. ICIAR 2013: 605-612 - [c57]Harry Strange, Reyer Zwiggelaar:
Meningioma subtype classification using morphology features and random forests. Medical Imaging: Digital Pathology 2013: 86760S - [c56]Andrik Rampun, Harry Strange, Reyer Zwiggelaar:
Texture segmentation using different orientations of GLCM features. MIRAGE 2013: 17:1-17:8 - 2012
- [j12]Frédéric Labrosse, Reyer Zwiggelaar, Yonghuai Liu, Bernie Tiddeman:
Guest Editorial: Scenes, Images and Objects. Int. J. Comput. Vis. 100(2): 121 (2012) - [j11]Arnau Oliver
, Albert Torrent
, Xavier Lladó
, Meritxell Tortajada, Lidia Tortajada, Melcior Sentís
, Jordi Freixenet
, Reyer Zwiggelaar:
Automatic microcalcification and cluster detection for digital and digitised mammograms. Knowl. Based Syst. 28: 68-75 (2012) - [c55]Ziming Zeng, Tony Shepherd, Reyer Zwiggelaar:
Hierarchical modelling for unsupervised tumour segmentation in PET. BHI 2012: 439-443 - [c54]Zhili Chen, Reyer Zwiggelaar:
A combined method for automatic identification of the breast boundary in mammograms. BMEI 2012: 121-125 - [c53]Ziming Zeng, Tony Shepherd, Reyer Zwiggelaar:
Unsupervised tumour segmentation in PET based on local and global intensity fitting active surface and alpha matting. EMBC 2012: 2339-2342 - [c52]Zhili Chen, Erika R. E. Denton, Reyer Zwiggelaar:
Topographic representation based breast density segmentation for mammographic risk assessment. ICIP 2012: 1993-1996 - [c51]Ziming Zeng, Jue Wang
, Tony Shepherd, Reyer Zwiggelaar:
Region-based active surface modelling and alpha matting for unsupervised tumour segmentation in PET. ICIP 2012: 1997-2000 - [c50]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 - [c49]Zhili Chen, Erika R. E. Denton, Reyer Zwiggelaar:
Classification of Microcalcification Clusters Based on Morphological Topology Analysis. Digital Mammography / IWDM 2012: 521-528 - 2011
- [j10]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) - [c48]Harry Strange, Reyer Zwiggelaar:
A Generalised Solution to the Out-of-Sample Extension Problem in Manifold Learning. AAAI 2011: 471-476 - [c47]Zhili Chen, Erika R. E. Denton, Reyer Zwiggelaar:
Local feature based mammographic tissue pattern modelling and breast density classification. BMEI 2011: 351-355 - [c46]Ziming Zeng, Wenhui Wang
, Longzhi Yang
, Reyer Zwiggelaar:
Automatic Estimation of the Number of Segmentation Groups Based on MI. IbPRIA 2011: 532-539 - [c45]Ziming Zeng, Reyer Zwiggelaar:
Joint Histogram Modelling for Segmentation Multiple Sclerosis Lesions. MIRAGE 2011: 133-144 - [c44]Zhili Chen, Erika R. E. Denton, Reyer Zwiggelaar:
Modelling Breast Tissue in Mammograms for Mammographic Risk Assessment. MIUA 2011: 37-42 - 2010
- [j9]Neil Mac Parthaláin
, Richard Jensen
, Qiang Shen
, Reyer Zwiggelaar:
Fuzzy-rough approaches for mammographic risk analysis. Intell. Data Anal. 14(2): 225-244 (2010) - [j8]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) - [c43]Harry Strange, Reyer Zwiggelaar:
Iterative Hyperplane Merging: A Framework for Manifold Learning. BMVC 2010: 1-11 - [c42]Wenda He, Reyer Zwiggelaar:
Image classification: A novel texture signature approach. ICIP 2010: 2725-2728 - [c41]Harry Strange, Reyer Zwiggelaar:
Parallel Projections for Manifold Learning. ICMLA 2010: 266-271 - [c40]Reyer Zwiggelaar:
Local Greylevel Appearance Histogram Based Texture Segmentation. Digital Mammography / IWDM 2010: 175-182 - [c39]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 - [c38]Neil Mac Parthaláin
, Reyer Zwiggelaar:
Machine Learning Techniques and Mammographic Risk Assessment. Digital Mammography / IWDM 2010: 664-672 - [e2]Frédéric Labrosse, Reyer Zwiggelaar, Yonghuai Liu, Bernie Tiddeman:
British Machine Vision Conference, BMVC 2010, Aberystwyth, UK, August 31 - September 3, 2010. Proceedings. British Machine Vision Association 2010, ISBN 1-901725-40-5 [contents]
2000 – 2009
- 2009
- [c37]Moi Hoon Yap
, Hassan Ugail, Reyer Zwiggelaar, Bashar A. Rajoub, Victoria Doherty, Stephanie Appleyard, Gemma Hurdy:
A Short Review of Methods for Face Detection and Multifractal Analysis. CW 2009: 231-236 - 2008
- [j7]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) - [c36]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 - [c35]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 - [c34]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
- [c33]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
- [j6]Yanong Zhu, Stuart Williams, Reyer Zwiggelaar:
Computer technology in detection and staging of prostate carcinoma: A review. Medical Image Anal. 10(2): 178-199 (2006) - [c32]Da Qi, Erika R. E. Denton, Reyer Zwiggelaar:
Semantic Analysis on Medical Images: A Case Study. ICPR (1) 2006: 1260-1263 - [c31]Robert Marti, David Raba, Arnau Oliver, Reyer Zwiggelaar:
Mammographic Registration: Proposal and Evaluation of a New Approach. Digital Mammography / IWDM 2006: 213-220 - [c30]Da Qi, Erika R. E. Denton, Reyer Zwiggelaar:
Linking Image Structures with Medical Ontology Information. Digital Mammography / IWDM 2006: 399-406 - [c29]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 - [c28]Reyer Zwiggelaar, Erika R. E. Denton:
Texture Based Segmentation. Digital Mammography / IWDM 2006: 433-440 - [c27]Edward M. Hadley, Erika R. E. Denton, Reyer Zwiggelaar:
Mammographic Risk Assessment Based on Anatomical Linear Structures. Digital Mammography / IWDM 2006: 626-633 - [c26]Arnau Oliver, Jordi Freixenet, Robert Marti, Reyer Zwiggelaar:
A Comparison of Breast Tissue Classification Techniques. MICCAI (2) 2006: 872-879 - [e1]Susan M. Astley, Michael Brady, Chris Rose, Reyer Zwiggelaar:
Digital Mammography, 8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings. Lecture Notes in Computer Science 4046, Springer 2006, ISBN 3-540-35625-8 [contents] - 2005
- [c25]Robert Marti, David Raba, Caroline M. E. Rubin, Reyer Zwiggelaar:
Detecting Mammographic Abnormalities from Image Registration Results. CCIA 2005: 59-66 - [c24]Yanong Zhu, Mark Fisher, Reyer Zwiggelaar:
Improving ASM Search Using Mixture Models for Grey-Level Profiles. IbPRIA (1) 2005: 292-299 - [c23]Arnau Oliver, Jordi Freixenet, Anna Bosch, David Raba, Reyer Zwiggelaar:
Automatic Classification of Breast Tissue. IbPRIA (2) 2005: 431-438 - [c22]Arnau Oliver
, Jordi Freixenet
, Reyer Zwiggelaar:
Automatic classification of breast density. ICIP (2) 2005: 1258-1261 - 2004
- [j5]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) - [j4]Reyer Zwiggelaar, Susan M. Astley, Caroline R. M. Boggis, Christopher J. Taylor:
Linear structures in mammographic images: detection and classification. IEEE Trans. Medical Imaging 23(9): 1077-1086 (2004) - [c21]Reyer Zwiggelaar:
Texture Based Segmentation: Automatic Selection of Co-Occurrence Matrices. ICPR (1) 2004: 588-591 - [c20]Harbir Singh, Reyer Zwiggelaar:
G-Images: Towards Multilevel Unsupervised Image Segmentation. ICVGIP 2004: 473-478 - [c19]Harbir Singh, Michael Crawford, John P. Curtin, Reyer Zwiggelaar:
Automated 3D Segmentation of the Lung Airway Tree Using Gain-Based Region Growing Approach. MICCAI (2) 2004: 975-982 - 2003
- [c18]Reyer Zwiggelaar, Lilian Blot, David Raba, Erika R. E. Denton:
Set-Permutation-Occurrence Matrix Based Texture Segmentation. IbPRIA 2003: 1099-1107 - [c17]Reyer Zwiggelaar, Yanong Zhu, Stuart Williams:
Semi-automatic Segmentation of the Prostate. IbPRIA 2003: 1108-1116 - 2002
- [j3]Lilian Blot, Anne Davis, Mike Holubinka, Robert Marti
, Reyer Zwiggelaar:
Automated Quality Assurance Applied to Mammographic Imaging. EURASIP J. Adv. Signal Process. 2002(7): 736-745 (2002) - [j2]Robert Marti
, Reyer Zwiggelaar, Caroline M. E. Rubin:
Automatic Point Correspondence and Registration Based on Linear Structures. Int. J. Pattern Recognit. Artif. Intell. 16(3): 331-340 (2002) - [c16]Reyer Zwiggelaar:
Image Processing in Scale-Orientation Space. BMVC 2002: 1-10 - 2001
- [c15]Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin:
Tracking Mammographic Structures Over Time. BMVC 2001: 1-10 - [c14]Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin:
Automatic Registration of Mammograms Based on Linear Structures. IPMI 2001: 162-168 - 2000
- [c13]Robert Marti, Reyer Zwiggelaar, Caroline M. E. Rubin:
A Novel Similarity Measure to Evaluate Image Correspondence. ICPR 2000: 3171-3174
1990 – 1999
- 1999
- [j1]Reyer Zwiggelaar, Tim C. Parr, James E. Schumm, Ian W. Hutt, Christopher J. Taylor, Susan M. Astley, Caroline R. M. Boggis:
Model-based detection of spiculated lesions in mammograms. Medical Image Anal. 3(1): 39-62 (1999) - [c12]Reyer Zwiggelaar:
Separating Background Texture, Image Structure in Mammograms. BMVC 1999: 1-10 - [c11]Reyer Zwiggelaar, Christopher J. Taylor, Caroline M. E. Rubin:
Detection of the Central Mass of Spiculated Lesions - Signature Normalisation and Model Data Aspects. IPMI 1999: 406-411 - [c10]Reyer Zwiggelaar, Christopher J. Taylor, Caroline R. M. Boggis:
Automatic Classification of Linear Structures in Mammographic Images. MICCAI 1999: 263-270 - 1998
- [c9]Reyer Zwiggelaar, Susan M. Astley, Christopher J. Taylor:
Detecting the Central Mass of a Spiculated Lesion Using Scale-Orientation Signatures. Digital Mammography / IWDM 1998: 63-70 - [c8]Tim C. Parr, Reyer Zwiggelaar, Susan M. Astley, Caroline R. M. Boggis, Christopher J. Taylor:
Comparison of Methods for Combining Evidence for Spiculated Lesions. Digital Mammography / IWDM 1998: 71-78 - [c7]Eva Cernadas, Reyer Zwiggelaar, Wouter Veldkamp, Tim C. Parr, Susan M. Astley, Christopher J. Taylor, Caroline R. M. Boggis:
Detection of Mammographic Microcalcifications Using a Statistical Model. Digital Mammography / IWDM 1998: 205-208 - [c6]Susan M. Astley, Reyer Zwiggelaar, Chris Wolstenholme, Karen Davies, Tim C. Parr, Christopher J. Taylor:
Prompting in Mammography: How Good Must Prompt Generators Be? Digital Mammography / IWDM 1998: 347-354 - [c5]Reyer Zwiggelaar, Christopher J. Taylor:
Abnormal Masses in Mammograms: Detection Using Scale-Orientation Signatures. MICCAI 1998: 570-577 - [c4]Reyer Zwiggelaar, Christopher J. Taylor:
Linear and Non-Linear Modelling of Scale-Orientation Signatures. NMBIA 1998: 152-157 - 1997
- [c3]Tim C. Parr, Reyer Zwiggelaar, Christopher J. Taylor, Susan M. Astley, Caroline R. M. Boggis:
Detecting Stellate Lesions in Mammograms via Statistical Models. BMVC 1997 - [c2]Reyer Zwiggelaar, Tim C. Parr, Caroline R. M. Boggis, Susan M. Astley, Christopher J. Taylor
:
Statistical Modelling of Lines and Structures in Mammograms. IPMI 1997: 405-410 - 1996
- [c1]Reyer Zwiggelaar, Tim C. Parr, Christopher J. Taylor:
Finding Orientated Line Patterns in Digital Mammographic Images. BMVC 1996: 1-10
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
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