Reyer Zwiggelaar

Orcid: 0000-0002-4360-0896

According to our database1, Reyer Zwiggelaar authored at least 156 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Feature learning based on connectivity estimation for unbiased mammography mass classification.
Comput. Vis. Image Underst., January, 2024

2023
Noise Profiling for ANNs: A Bio-inspired Approach.
Proceedings of the Advances in Computational Intelligence Systems, 2023

2021
Single-Input Multi-Output U-Net for Automated 2D Foetal Brain Segmentation of MR Images.
J. Imaging, 2021

SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties.
Comput. Graph., 2021

Prostate Cancer Detection Using Image-Based Features in Dynamic Contrast Enhanced MRI.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021


2020
Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation.
J. Imaging, 2020

Fuzzy-rough assisted refinement of image processing procedure for mammographic risk assessment.
Appl. Soft Comput., 2020

Breast ultrasound region of interest detection and lesion localisation.
Artif. Intell. Medicine, 2020

2019
Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network.
Medical Image Anal., 2019

Comparative Study on Local Binary Patterns for Mammographic Density and Risk Scoring.
J. Imaging, 2019

Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based Classifier.
J. Imaging, 2019

Multiscale connected chain topological modelling for microcalcification classification.
Comput. Biol. Medicine, 2019

Multi-criterion mammographic risk analysis supported with multi-label fuzzy-rough feature selection.
Artif. Intell. Medicine, 2019

Predicting Hospital Length of Stay for Accident and Emergency Admissions.
Proceedings of the Advances in Computational Intelligence Systems, 2019

Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcifications.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

2018
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2018

Tree-based modelling for the classification of mammographic benign and malignant micro-calcification clusters.
Multim. Tools Appl., 2018

Deep learning in mammography and breast histology, an overview and future trends.
Medical Image Anal., 2018

Classification of micro-calcification in mammograms using scalable linear Fisher discriminant analysis.
Medical Biol. Eng. Comput., 2018

Mammographic mass classification using filter response patches.
IET Comput. Vis., 2018

Topological Connected Chain Modelling for Classification of Mammographic Microcalcification.
Proceedings of the Computer Graphics & Visual Computing, 2018

Groupwise Non-rigid Image Alignment With Graph-based Initialisation.
Proceedings of the Computer Graphics & Visual Computing, 2018

A Voting-Based Encoding Technique for the Classification of Gleason Score for Prostate Cancers.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Breast Tissue Classification Using Local Binary Pattern Variants: A Comparative Study.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Automatic Segmentation of Microcalcification Clusters.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

End-to-end breast ultrasound lesions recognition with a deep learning approach.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Bag of visual words based approach for the classification of benign and malignant masses in mammograms using voting-based feature encoding.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Multi-scale morphological feature extraction for the classification of micro-calcifications.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Classification of mammographic microcalcification clusters with machine learning confidence levels.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Comparing the performance of various deep networks for binary classification of breast tumours.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Mammogram breast density classification using mean-elliptical local binary patterns.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Automatic classification of clustered microcalcifications in digitized mammogram using ensemble learning.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Confidence Analysis for Breast Mass Image Classification.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A density-based discretization method with inconsistency evaluation.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Inconsistency Measure Associated Discretization Methods to Network-based Intrusion Detection.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Evaluation of Graph Topological Features in Digitized Mammogram for Microcalcification Cluster Classification.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

3D Texton Based Prostate Cancer Detection Using Multiparametric Magnetic Resonance Imaging.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

A clustering reduction algorithm for fuzzy concept lattice.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions.
Image Vis. Comput., 2016

A review on brain structures segmentation in magnetic resonance imaging.
Artif. Intell. Medicine, 2016

A Quantitative Study of Texture Features across Different Window Sizes in Prostate T2-weighted MRI.
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

Mammographic Ellipse Modelling for Risk Estimation.
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

Non-expert Classification of Microcalcification Clusters Using Mereotopological Barcodes.
Proceedings of the Breast Imaging, 2016

Mammographic Segmentation and Density Classification: A Fractal Inspired Approach.
Proceedings of the Breast Imaging, 2016

Mammographic Ellipse Modelling Towards Birads Density Classification.
Proceedings of the Breast Imaging, 2016

Nonlinear Local Transformation Based Mammographic Image Enhancement.
Proceedings of the Breast Imaging, 2016

Classification of mammographic microcalcification clusters using a combination of topological and location modelling.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

2015
Topological Modeling and Classification of Mammographic Microcalcification Clusters.
IEEE Trans. Biomed. Eng., 2015

Piecewise-linear manifold learning: A heuristic approach to non-linear dimensionality reduction.
Intell. Data Anal., 2015

Breast image pre-processing for mammographic tissue segmentation.
Comput. Biol. Medicine, 2015

Salient Edge Guided 3D Brain MR Image Registration Using Demons.
Proceedings of the Medical Image Understanding and Analysis, 2015

Semi-Supervised Muscle Fibre Segmentation via Superpixel Label Propagation.
Proceedings of the Medical Image Understanding and Analysis, 2015

Computer Aided Detection of Prostate Cancer within the Peripheral Zone in T2-Weighted MRI.
Proceedings of the Medical Image Understanding and Analysis, 2015

Classifying Benign and Malignant Tissues within the Prostate Peripheral Zone using Textons.
Proceedings of the Medical Image Understanding and Analysis, 2015

Novel multiresolution mammographic density segmentation using pseudo 3D features and adaptive cluster merging.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Unsupervised segmentation for multiple sclerosis lesions in multimodality Magnetic Resonance images.
Proceedings of the 8th International Conference on Biomedical Engineering and Informatics, 2015

A Block-based Approach for Malignancy Detection within the Prostate Peripheral Zone in T2-weighted MRI.
Proceedings of the BIOIMAGING 2015, 2015

2014
Open Problems in Spectral Dimensionality Reduction
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-03942-8, 2014

Thermal Facial Analysis for Deception Detection.
IEEE Trans. Inf. Forensics Secur., 2014

Modelling mammographic microcalcification clusters using persistent mereotopology.
Pattern Recognit. Lett., 2014

Breast peripheral area correction in digital mammograms.
Comput. Biol. Medicine, 2014

Myofibre segmentation in H&E stained adult skeletal muscle images using coherence-enhancing diffusion filtering.
BMC Medical Imaging, 2014

A Novel Breast Image Preprocessing For Full Field Digital Mammographic Segmentation and Risk Classification.
Proceedings of the Medical Image Understanding and Analysis, 2014

Detecting Abnormal Mammographic Cases in Temporal Studies Using Image Registration Features.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

A Revisit on Correlation between Tabár and Birads Based Risk Assessment Schemes with Full Field Digital Mammography.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

A Novel Image Enhancement Methodology for Full Field Digital Mammography.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

A Study on Mammographic Image Modelling and Classification Using Multiple Databases.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

Analysis of Mammographic Microcalcification Clusters Using Topological Features.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

Detection of Prostate Abnormality within the Peripheral Zone using Local Peak Information.
Proceedings of the ICPRAM 2014, 2014

An Improved BET Method for Brain Segmentation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Computer-aided diagnosis method for MRI-guided prostate biopsy within the peripheral zone using grey level histograms.
Proceedings of the Seventh International Conference on Machine Vision, 2014

2013
Borehole and Ice Feature Annotation Tool (BIFAT): A program for the automatic and manual annotation of glacier borehole images.
Comput. Geosci., 2013

Unsupervised tumour segmentation in PET using local and global intensity-fitting active surface and alpha matting.
Comput. Biol. Medicine, 2013

Texture segmentation using different orientations of GLCM features.
Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications, 2013

Meningioma subtype classification using morphology features and random forests.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013

Segmentation for Multiple Sclerosis Lesions Based on 3D Volume Enhancement and 3D Alpha Matting.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Unsupervised Cell Nuclei Segmentation Based on Morphology and Adaptive Active Contour Modelling.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Manifold Learning for Density Segmentation in High Risk Mammograms.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Automated Mammographic Risk Classification Based on Breast Density Estimation.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

A database for facial behavioural analysis.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

The Research Institude of Visual Computing, RIVIC, UK.
Proceedings of the 34th Annual Conference of the European Association for Computer Graphics, 2013

Breast Parenchymal Pattern Analysis in Digital Mammography: Associations between Tabár and Birads Tissue Compositions.
Proceedings of the Computer Analysis of Images and Patterns, 2013

A Multiscale Blob Representation of Mammographic Parenchymal Patterns and Mammographic Risk Assessment.
Proceedings of the Computer Analysis of Images and Patterns, 2013

2012
Automatic microcalcification and cluster detection for digital and digitised mammograms.
Knowl. Based Syst., 2012

Guest Editorial: Scenes, Images and Objects.
Int. J. Comput. Vis., 2012

Mammographic Segmentation and Risk Classification Using a Novel Binary Model Based Bayes Classifier.
Proceedings of the Breast Imaging, 2012

Classification of Microcalcification Clusters Based on Morphological Topology Analysis.
Proceedings of the Breast Imaging, 2012

Region-based active surface modelling and alpha matting for unsupervised tumour segmentation in PET.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Topographic representation based breast density segmentation for mammographic risk assessment.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Unsupervised tumour segmentation in PET based on local and global intensity fitting active surface and alpha matting.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A combined method for automatic identification of the breast boundary in mammograms.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

Hierarchical modelling for unsupervised tumour segmentation in PET.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

2011
Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments.
Biomed. Signal Process. Control., 2011

Modelling Breast Tissue in Mammograms for Mammographic Risk Assessment.
Proceedings of the Medical Image Understanding and Analysis, 2011

Joint Histogram Modelling for Segmentation Multiple Sclerosis Lesions.
Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2011

Automatic Estimation of the Number of Segmentation Groups Based on MI.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Local feature based mammographic tissue pattern modelling and breast density classification.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

A Generalised Solution to the Out-of-Sample Extension Problem in Manifold Learning.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
A review of automatic mass detection and segmentation in mammographic images.
Medical Image Anal., 2010

Fuzzy-rough approaches for mammographic risk analysis.
Intell. Data Anal., 2010

Local Greylevel Appearance Histogram Based Texture Segmentation.
Proceedings of the Digital Mammography, 2010

Machine Learning Techniques and Mammographic Risk Assessment.
Proceedings of the Digital Mammography, 2010

Mammographic Image Segmentation and Risk Classification Using a Novel Texture Signature Based Methodology.
Proceedings of the Digital Mammography, 2010

Parallel Projections for Manifold Learning.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Image classification: A novel texture signature approach.
Proceedings of the International Conference on Image Processing, 2010

Iterative Hyperplane Merging: A Framework for Manifold Learning.
Proceedings of the British Machine Vision Conference, 2010

2009
A Short Review of Methods for Face Detection and Multifractal Analysis.
Proceedings of the 2009 International Conference on CyberWorlds, 2009

2008
A Novel Breast Tissue Density Classification Methodology.
IEEE Trans. Inf. Technol. Biomed., 2008

The Evaluation of Effects on Breast Cancer Diagnoses When Using Mammographic Semantic Information.
Proceedings of the Digital Mammography, 2008

Mammographic Segmentation Based on Texture Modelling of Tabár Mammographic Building Blocks.
Proceedings of the Digital Mammography, 2008

Analysis of Anatomical Linear Structure Information in Mammographic Risk Assessment.
Proceedings of the Digital Mammography, 2008

2007
Risk Classification of Mammograms Using Anatomical Linear Structure and Density Information.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006
Computer technology in detection and staging of prostate carcinoma: A review.
Medical Image Anal., 2006

A Comparison of Breast Tissue Classification Techniques.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Texture Based Segmentation.
Proceedings of the Digital Mammography, 2006

Linking Image Structures with Medical Ontology Information.
Proceedings of the Digital Mammography, 2006

Comparison Between Wolfe, Boyd, BI-RADS and Tabár Based Mammographic Risk Assessment.
Proceedings of the Digital Mammography, 2006

Mammographic Registration: Proposal and Evaluation of a New Approach.
Proceedings of the Digital Mammography, 2006

Mammographic Risk Assessment Based on Anatomical Linear Structures.
Proceedings of the Digital Mammography, 2006

Semantic Analysis on Medical Images: A Case Study.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
Automatic classification of breast density.
Proceedings of the 2005 International Conference on Image Processing, 2005

Improving ASM Search Using Mixture Models for Grey-Level Profiles.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

Automatic Classification of Breast Tissue.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

Detecting Mammographic Abnormalities from Image Registration Results.
Proceedings of the Artificial Intelligence Research and Development, 2005

2004
Linear structures in mammographic images: detection and classification.
IEEE Trans. Medical Imaging, 2004

Two-Dimensional-Three-Dimensional Correspondence in Mammography.
Cybern. Syst., 2004

Automated 3D Segmentation of the Lung Airway Tree Using Gain-Based Region Growing Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

G-Images: Towards Multilevel Unsupervised Image Segmentation.
Proceedings of the ICVGIP 2004, 2004

Texture Based Segmentation: Automatic Selection of Co-Occurrence Matrices.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Semi-automatic Segmentation of the Prostate.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

Set-Permutation-Occurrence Matrix Based Texture Segmentation.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2002
Automatic Point Correspondence and Registration Based on Linear Structures.
Int. J. Pattern Recognit. Artif. Intell., 2002

Automated Quality Assurance Applied to Mammographic Imaging.
EURASIP J. Adv. Signal Process., 2002

Image Processing in Scale-Orientation Space.
Proceedings of the British Machine Vision Conference 2002, 2002

2001
Automatic Registration of Mammograms Based on Linear Structures.
Proceedings of the Information Processing in Medical Imaging, 2001

Tracking Mammographic Structures Over Time.
Proceedings of the British Machine Vision Conference 2001, 2001

2000
A Novel Similarity Measure to Evaluate Image Correspondence.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Model-based detection of spiculated lesions in mammograms.
Medical Image Anal., 1999

Automatic Classification of Linear Structures in Mammographic Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

Detection of the Central Mass of Spiculated Lesions - Signature Normalisation and Model Data Aspects.
Proceedings of the Information Processing in Medical Imaging, 1999

Separating Background Texture, Image Structure in Mammograms.
Proceedings of the British Machine Vision Conference 1999, 1999

1998
Linear and Non-Linear Modelling of Scale-Orientation Signatures.
Proceedings of the Noblesse Workshop on Non-Linear Model Based Image Analysis, 1998

Abnormal Masses in Mammograms: Detection Using Scale-Orientation Signatures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998

Detecting the Central Mass of a Spiculated Lesion Using Scale-Orientation Signatures.
Proceedings of the Digital Mammography, 1998

Comparison of Methods for Combining Evidence for Spiculated Lesions.
Proceedings of the Digital Mammography, 1998

Detection of Mammographic Microcalcifications Using a Statistical Model.
Proceedings of the Digital Mammography, 1998

Prompting in Mammography: How Good Must Prompt Generators Be?
Proceedings of the Digital Mammography, 1998

1997
Statistical Modelling of Lines and Structures in Mammograms.
Proceedings of the Information Processing in Medical Imaging, 1997

Detecting Stellate Lesions in Mammograms via Statistical Models.
Proceedings of the British Machine Vision Conference 1997, 1997

1996
Finding Orientated Line Patterns in Digital Mammographic Images.
Proceedings of the British Machine Vision Conference 1996, 1996


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