| Incorporating privileged information through metric learning S Fouad, P Tino, S Raychaudhury, P Schneider IEEE transactions on neural networks and learning systems 24 (7), 1086-1098, 2013 | 78 | 2013 |
| Automatic thresholding from the gradients of region boundaries G Landini, DA Randell, S Fouad, A Galton Journal of microscopy 265 (2), 185-195, 2017 | 36 | 2017 |
| Adaptive metric learning vector quantization for ordinal classification S Fouad, P Tino Neural computation 24 (11), 2825-2851, 2012 | 25 | 2012 |
| Unsupervised morphological segmentation of tissue compartments in histopathological images S Fouad, D Randell, A Galton, H Mehanna, G Landini PloS one 12 (11), e0188717, 2017 | 21 | 2017 |
| Learning using privileged information in prototype based models S Fouad, P Tino, S Raychaudhury, P Schneider International Conference on Artificial Neural Networks, 322-329, 2012 | 18 | 2012 |
| Mereotopological correction of segmentation errors in histological imaging DA Randell, A Galton, S Fouad, H Mehanna, G Landini Journal of Imaging 3 (4), 63, 2017 | 16 | 2017 |
| Ordinal-based metric learning for learning using privileged information S Fouad, P Tiňo The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 16 | 2013 |
| Classifying cognitive profiles using machine learning with privileged information in mild cognitive impairment HH Alahmadi, Y Shen, S Fouad, CDB Luft, P Bentham, Z Kourtzi, P Tino Frontiers in Computational Neuroscience 10, 117, 2016 | 15 | 2016 |
| Unsupervised superpixel-based segmentation of histopathological images with consensus clustering S Fouad, D Randell, A Galton, H Mehanna, G Landini Annual Conference on Medical Image Understanding and Analysis, 767-779, 2017 | 12 | 2017 |
| Ontological Levels in Histological Imaging A Galton, G Landini, D Randell, S Fouad Artificial Intelligence and Digital Microscopy, 4, 2018 | 9 | 2018 |
| Ontological Levels in Histological Imaging. A Galton, G Landini, DA Randell, S Fouad FOIS, 271-284, 2016 | 9 | 2016 |
| Discrete mereotopology in histological imaging G Landini, DA Randell, AP Galton Proceedings of the 17th conference on Medical Image Understanding and …, 2013 | 8 | 2013 |
| Novel applications of discrete mereotopology to mathematical morphology G Landini, A Galton, D Randell, S Fouad Signal Processing: Image Communication 76, 109-117, 2019 | 7 | 2019 |
| Epithelium and stroma identification in histopathological images using unsupervised and semi-supervised superpixel-based segmentation S Fouad, D Randell, A Galton, H Mehanna, G Landini Journal of Imaging 3 (4), 61, 2017 | 7 | 2017 |
| Morphological separation of clustered nuclei in histological images S Fouad, G Landini, D Randell, A Galton International Conference on Image Analysis and Recognition, 599-607, 2016 | 7 | 2016 |
| A Framework of New Hybrid Features for Intelligent Detection of Zero Hour Phishing Websites. SH Nagunwa T., Naqvi S., Fouad S. International Joint Conference: 12th International Conference on …, 2019 | 4* | 2019 |
| Metric learning for incorporating privileged information in prototype-based models S Fouad University of Birmingham, 2013 | 4 | 2013 |
| Prototype based modelling for ordinal classification S Fouad, P Tino International Conference on Intelligent Data Engineering and Automated …, 2012 | 3 | 2012 |
| Imaging and machine learning methods for assessing HPV in situ hybridisation patterns in oropharyngeal carcinomas MH Fouad S, Landini G, Robinson M, Randell DA J Pathol Inform 2019,, 10:32, S13, 2019 | 2* | 2019 |
| Epithelial segmentation from in situ hybridisation histological samples using a deep central attention learning approach TH Song, G Landini, S Fouad, H Mehanna IEEE International Symposium on Biomedical Imaging (ISBI 2019) . Institute …, 2019 | 2 | 2019 |
Gabriel LandiniUniversity of Birmingham, U.K.Vahvistettu sähköpostiosoite verkkotunnuksessa bham.ac.uk
