Seuraa
Shereen Fouad
Shereen Fouad
Lecturer in Computer Science, Aston University
Vahvistettu sähköpostiosoite verkkotunnuksessa aston.ac.uk
Nimike
Viittaukset
Viittaukset
Vuosi
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
782013
Automatic thresholding from the gradients of region boundaries
G Landini, DA Randell, S Fouad, A Galton
Journal of microscopy 265 (2), 185-195, 2017
362017
Adaptive metric learning vector quantization for ordinal classification
S Fouad, P Tino
Neural computation 24 (11), 2825-2851, 2012
252012
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
212017
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
182012
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
162017
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
162013
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
152016
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
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
82013
Novel applications of discrete mereotopology to mathematical morphology
G Landini, A Galton, D Randell, S Fouad
Signal Processing: Image Communication 76, 109-117, 2019
72019
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
72017
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
72016
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
42013
Prototype based modelling for ordinal classification
S Fouad, P Tino
International Conference on Intelligent Data Engineering and Automated …, 2012
32012
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
22019
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Artikkelit 1–20