| Deep learning in mammography and breast histology, an overview and future trends A Hamidinekoo, E Denton, A Rampun, K Honnor, R Zwiggelaar Medical image analysis 47, 45-67, 2018 | 297 | 2018 |
| Fully automated breast boundary and pectoral muscle segmentation in mammograms A Rampun, PJ Morrow, BW Scotney, J Winder Artificial intelligence in medicine 79, 28-41, 2017 | 96 | 2017 |
| A hierarchical pipeline for breast boundary segmentation and calcification detection in mammograms P Shi, J Zhong, A Rampun, H Wang Computers in biology and medicine 96, 178-188, 2018 | 95 | 2018 |
| Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network A Rampun, K López-Linares, PJ Morrow, BW Scotney, H Wang, IG Ocaña, ... Medical image analysis 57, 1-17, 2019 | 77 | 2019 |
| Breast mass classification in mammograms using ensemble convolutional neural networks A Rampun, BW Scotney, PJ Morrow, H Wang 2018 IEEE 20th international conference on e-health networking, applications …, 2018 | 68 | 2018 |
| Breast Density Classification Using Local Quinary Patterns with Various Neighbourhood Topologies A Rampun, BW Scotney, PJ Morrow, H Wang, J Winder Journal of Imaging 4 (1), 2018 | 65 | 2018 |
| Texture segmentation using different orientations of GLCM features A Rampun, H Strange, R Zwiggelaar Proceedings of the 6th International Conference on Computer Vision/Computer …, 2013 | 54 | 2013 |
| Computer-aided detection of prostate cancer in T2-weighted MRI within the peripheral zone A Rampun, L Zheng, P Malcolm, B Tiddeman, R Zwiggelaar Physics in Medicine & Biology 61 (13), 4796, 2016 | 48 | 2016 |
| Computer aided diagnosis of prostate cancer: A texton based approach A Rampun, B Tiddeman, R Zwiggelaar, P Malcolm Medical physics 43 (10), 5412-5425, 2016 | 25 | 2016 |
| Breast density classification in mammograms: An investigation of encoding techniques in binary-based local patterns A Rampun, PJ Morrow, BW Scotney, H Wang Computers in Biology and Medicine 122, 103842, 2020 | 23 | 2020 |
| Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours A Rampun, BW Scotney, PJ Morrow, H Wang, J Winder Artificial intelligence in medicine 97, 44-60, 2019 | 20 | 2019 |
| Automated 2D Fetal Brain Segmentation of MR Images Using a Deep U-Net A Rampun, D Jarvis, P Griffiths, P Armitage Asian Conference on Pattern Recognition 12047, 373-386, 2020 | 18 | 2020 |
| Breast Density Classification Using Local Ternary Patterns in Mammograms A Rampun, P Morrow, B Scotney, J Winder International Conference Image Analysis and Recognition 10317, 463-470, 2017 | 17 | 2017 |
| Computer‐aided diagnosis: detection and localization of prostate cancer within the peripheral zone A Rampun, Z Chen, P Malcolm, B Tiddeman, R Zwiggelaar International journal for numerical methods in biomedical engineering 32 (5 …, 2016 | 14 | 2016 |
| Breast density classification using multiresolution local quinary patterns in mammograms A Rampun, P Morrow, B Scotney, J Winder Annual Conference on Medical Image Understanding and Analysis, 365-376, 2017 | 12 | 2017 |
| Status and recommendations of technological and data-driven innovations in cancer care: Focus group study H Kondylakis, C Axenie, D Bastola, DG Katehakis, A Kouroubali, D Kurz, ... Journal of medical Internet research 22 (12), e22034, 2020 | 11 | 2020 |
| Classification of mammographic microcalcification clusters with machine learning confidence levels A Rampun, H Wang, B Scotney, P Morrow, R Zwiggelaar 14th International workshop on breast imaging (IWBI 2018) 10718, 345-352, 2018 | 11 | 2018 |
| Single-input multi-output U-Net for automated 2D foetal brain segmentation of MR images A Rampun, D Jarvis, PD Griffiths, R Zwiggelaar, BW Scotney, PA Armitage Journal of Imaging 7 (10), 200, 2021 | 8 | 2021 |
| Segmentation of the zebrafish brain vasculature from light sheet fluorescence microscopy datasets EC Kugler, A Rampun, TJA Chico, PA Armitage bioRxiv, 2020.07. 21.213843, 2020 | 8 | 2020 |
| A quantitative study of texture features across different window sizes in prostate t2-weighted mri A Rampun, L Wang, P Malcolm, R Zwiggelaar Procedia Computer Science 90, 74-79, 2016 | 7 | 2016 |
Reyer ZwiggelaarDepartment of Computer Science, Aberystwyth UniversityVahvistettu sähköpostiosoite verkkotunnuksessa aber.ac.uk
