Mohammad Yaqub
Mohammad Yaqub
Researcher in Biomedical Engineering, VP Engineering Intelligent Ultrasound Limited
Підтверджена електронна адреса в
Evaluation and comparison of current fetal ultrasound image segmentation methods for biometric measurements: a grand challenge
S Rueda, S Fathima, CL Knight, M Yaqub, AT Papageorghiou, ...
IEEE Transactions on medical imaging 33 (4), 797-813, 2013
The effect of maternal vitamin D concentration on fetal bone
C Ioannou, MK Javaid, P Mahon, MK Yaqub, NC Harvey, KM Godfrey, ...
The Journal of Clinical Endocrinology & Metabolism 97 (11), E2070-E2077, 2012
Investigation of the role of feature selection and weighted voting in random forests for 3-D volumetric segmentation
M Yaqub, MK Javaid, C Cooper, JA Noble
IEEE transactions on medical imaging 33 (2), 258-271, 2013
Learning-based prediction of gestational age from ultrasound images of the fetal brain
AIL Namburete, RV Stebbing, B Kemp, M Yaqub, AT Papageorghiou, ...
Medical image analysis 21 (1), 72-86, 2015
Improving the classification accuracy of the classic rf method by intelligent feature selection and weighted voting of trees with application to medical image segmentation
M Yaqub, MK Javaid, C Cooper, JA Noble
International Workshop on Machine Learning in Medical Imaging, 184-192, 2011
Guided random forests for identification of key fetal anatomy and image categorization in ultrasound scans
M Yaqub, B Kelly, AT Papageorghiou, JA Noble
International Conference on Medical Image Computing and Computer-Assisted …, 2015
Reversible watermarking using modified difference expansion
A Al-Jaber, MK Yaqub
International Journal of Computing & Information Sciences 4 (3), 134-142, 2006
Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning
AIL Namburete, W Xie, M Yaqub, A Zisserman, JA Noble
Medical image analysis 46, 1-14, 2018
Automatic detection of local fetal brain structures in ultrasound images
M Yaqub, R Napolitano, C Ioannou, AT Papageorghiou, JA Noble
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 1555-1558, 2012
Class-specific regression random forest for accurate extraction of standard planes from 3D echocardiography
K Chykeyuk, M Yaqub, JA Noble
International MICCAI Workshop on Medical Computer Vision, 53-62, 2013
A deep learning solution for automatic fetal neurosonographic diagnostic plane verification using clinical standard constraints
M Yaqub, B Kelly, AT Papageorghiou, JA Noble
Ultrasound in medicine & biology 43 (12), 2925-2933, 2017
Where is my baby? A fast fetal head auto-alignment in 3D-ultrasound
R Cuingnet, O Somphone, B Mory, R Prevost, M Yaqub, R Napolitano, ...
2013 IEEE 10th International Symposium on Biomedical Imaging, 768-771, 2013
Weighted voting in 3d random forest segmentation
M Yaqub, P Mahon, MK Javaid, C Cooper, JA Noble
Proc. Medical Image Understanding and Analysis, Warwick, UK, 261-266, 2010
Plane localization in 3-D fetal neurosonography for longitudinal analysis of the developing brain
M Yaqub, S Rueda, A Kopuri, P Melo, AT Papageorghiou, PB Sullivan, ...
IEEE journal of biomedical and health informatics 20 (4), 1120-1128, 2015
Volumetric segmentation of key fetal brain structures in 3D ultrasound
M Yaqub, R Cuingnet, R Napolitano, D Roundhill, A Papageorghiou, ...
International Workshop on Machine Learning in Medical Imaging, 25-32, 2013
Protocol and quality assurance for carotid imaging in 100,000 participants of UK Biobank: development and assessment
S Coffey, AJ Lewandowski, S Garratt, R Meijer, S Lynum, R Bedi, ...
European journal of preventive cardiology 24 (17), 1799-1806, 2017
A constrained regression forests solution to 3D fetal ultrasound plane localization for longitudinal analysis of brain growth and maturation
M Yaqub, A Kopuri, S Rueda, PB Sullivan, K McCormick, JA Noble
International Workshop on Machine Learning in Medical Imaging, 109-116, 2014
Automated 3D ultrasound biometry planes extraction for first trimester fetal assessment
H Ryou, M Yaqub, A Cavallaro, F Roseman, A Papageorghiou, JA Noble
International Workshop on Machine Learning in Medical Imaging, 196-204, 2016
Surface area measurement using rendered three‐dimensional ultrasound imaging: an in‐vitro phantom study
C Ioannou, I Sarris, MK Yaqub, JA Noble, MK Javaid, AT Papageorghiou
Ultrasound in obstetrics & gynecology 38 (4), 445-449, 2011
Flower classification using deep convolutional neural networks
H Hiary, H Saadeh, M Saadeh, M Yaqub
IET Computer Vision 12 (6), 855-862, 2018
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Статті 1–20