Shereen Fouad
Shereen Fouad
Senior Lecturer in Computer Science, Birmingham City University
Verified email at bcu.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
682013
Automatic thresholding from the gradients of region boundaries
G Landini, DA Randell, S Fouad, A Galton
Journal of microscopy 265 (2), 185-195, 2017
302017
Adaptive metric learning vector quantization for ordinal classification
S Fouad, P Tino
Neural computation 24 (11), 2825-2851, 2012
202012
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
172012
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
132017
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
132013
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
122017
Ontological Levels in Histological Imaging
A Galton, G Landini, D Randell, S Fouad
Artificial Intelligence and Digital Microscopy, 4, 2018
92018
Ontological Levels in Histological Imaging.
A Galton, G Landini, DA Randell, S Fouad
FOIS, 271-284, 2016
92016
Discrete mereotopology in histological imaging
G Landini, DA Randell, AP Galton
Proceedings of the 17th conference on Medical Image Understanding and …, 2013
92013
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
72016
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
62017
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
62016
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
42017
Metric learning for incorporating privileged information in prototype-based models
S Fouad
University of Birmingham, 2013
32013
Prototype based modelling for ordinal classification
S Fouad, P Tino
International Conference on Intelligent Data Engineering and Automated …, 2012
32012
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
2*2019
Model-based correction of segmentation errors in digitised histological images
DA Randell, A Galton, S Fouad, H Mehanna, G Landini
Annual Conference on Medical Image Understanding and Analysis, 718-730, 2017
22017
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
1*2019
Imaging and machine learning methods for assessing HPV in situ hybridisation patterns in oropharyngeal carcinomas
S Fouad, G Landini, M Robinson, D Randell, H Mehanna
14th European Congress on Digital Pathology & 5th Nordic Symposium on …, 2018
12018
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