Andrik Rampun

According to our database, Andrik Rampun authored at least 25 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2021

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

Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Reyer Zwiggelaar, Bryan W. Scotney, Paul A. Armitage

J. Imaging, 2021

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

Liping Wang, Yuanjie Zheng, Andrik Rampun, Reyer Zwiggelaar

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2020

Breast density classification in mammograms: An investigation of encoding techniques in binary-based local patterns.

Andrik Rampun, Philip J. Morrow, Bryan W. Scotney, Hui Wang

Comput. Biol. Medicine, 2020

Fetal Brain Segmentation Using Convolutional Neural Networks with Fusion Strategies.

Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Paul A. Armitage

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

2019

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

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

Medical Image Anal., 2019

Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours.

Andrik Rampun, Bryan W. Scotney, Philip J. Morrow, Hui Wang, John Winder

Artif. Intell. Medicine, 2019

Breast Density Classification using Local Septenary Patterns: A Multi-resolution and Multi-topology Approach.

Andrik Rampun, Bryan W. Scotney, Philip J. Morrow, Hui Wang

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Automated 2D Fetal Brain Segmentation of MR Images Using a Deep U-Net.

Andrik Rampun, Deborah Jarvis, Paul D. Griffiths, Paul A. Armitage

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

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

Breast Density Classification Using Local Quinary Patterns with Various Neighbourhood Topologies.

Andrik Rampun, Bryan W. Scotney, Philip J. Morrow, Hui Wang, Robert John Winder

J. Imaging, 2018

A hierarchical pipeline for breast boundary segmentation and calcification detection in mammograms.

Peng Shi, Jing Zhong, Andrik Rampun, Hui Wang

Comput. Biol. Medicine, 2018

Classification of mammographic microcalcification clusters with machine learning confidence levels.

Andrik Rampun, Hui Wang, Bryan W. Scotney, Philip J. Morrow, Reyer Zwiggelaar

Proceedings of the 14th International Workshop on Breast Imaging, 2018

Confidence Analysis for Breast Mass Image Classification.

Andrik Rampun, Hui Wang, Bryan W. Scotney, Philip J. Morrow, Reyer Zwiggelaar

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Breast Mass Classification in Mammograms using Ensemble Convolutional Neural Networks.

Andrik Rampun, Bryan W. Scotney, Philip J. Morrow, Hui Wang

Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

2017

Fully automated breast boundary and pectoral muscle segmentation in mammograms.

Andrik Rampun, Philip J. Morrow, Bryan W. Scotney, Robert John Winder

Artif. Intell. Medicine, 2017

Breast Density Classification Using Multiresolution Local Quinary Patterns in Mammograms.

Andrik Rampun, Philip J. Morrow, Bryan W. Scotney, Robert John Winder

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Breast Density Classification Using Local Ternary Patterns in Mammograms.

Andrik Rampun, Philip J. Morrow, Bryan W. Scotney, Robert John Winder

Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

2016

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

Andrik Rampun, Liping Wang, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

Mammographic Ellipse Modelling Towards Birads Density Classification.

Minu George, Andrik Rampun, Erika R. E. Denton, Reyer Zwiggelaar

Proceedings of the Breast Imaging, 2016

2015

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

Andrik Rampun, Ling Zheng, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the Medical Image Understanding and Analysis, 2015

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

Andrik Rampun, Ling Zheng, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the Medical Image Understanding and Analysis, 2015

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

Andrik Rampun, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the BIOIMAGING 2015, 2015

2014

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

Andrik Rampun, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the ICPRAM 2014, 2014

Computer-aided diagnosis method for MRI-guided prostate biopsy within the peripheral zone using grey level histograms.

Andrik Rampun, Paul Malcolm, Reyer Zwiggelaar

Proceedings of the Seventh International Conference on Machine Vision, 2014

2013

Texture segmentation using different orientations of GLCM features.

Andrik Rampun, Harry Strange, Reyer Zwiggelaar

Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications, 2013