Mohammad Yaqub
Mohammad Yaqub
Researcher in Biomedical Engineering, Associate professor at MBZUAI
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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
Deep learning techniques for diabetic retinopathy classification: A survey
MZ Atwany, AH Sahyoun, M Yaqub
IEEE Access 10, 28642-28655, 2022
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
Flower classification using deep convolutional neural networks
H Hiary, H Saadeh, M Saadeh, M Yaqub
IET computer vision 12 (6), 855-862, 2018
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
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
A High-Resolution Global Map of Giant Kelp (Macrocystis pyrifera) Forests and Intertidal Green Algae (Ulvophyceae) with Sentinel-2 Imagery
A Mora-Soto, M Palacios, EC Macaya, I Gómez, P Huovinen, ...
Remote Sensing 12 (4), 694, 2020
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
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
Guided random forests for identification of key fetal anatomy and image categorization in ultrasound scans
M Yaqub, B Kelly, AT Papageorghiou, JA Noble
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 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
Machine Learning in Medical Imaging: Second International Workshop, MLMI …, 2011
Automated 3D ultrasound image analysis for first trimester assessment of fetal health
H Ryou, M Yaqub, A Cavallaro, AT Papageorghiou, JA Noble
Physics in Medicine & Biology 64 (18), 185010, 2019
How to train vision transformer on small-scale datasets?
H Gani, M Naseer, M Yaqub
arXiv preprint arXiv:2210.07240, 2022
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
Automated 3D ultrasound biometry planes extraction for first trimester fetal assessment
H Ryou, M Yaqub, A Cavallaro, F Roseman, A Papageorghiou, JA Noble
Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016 …, 2016
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
Self-ensembling vision transformer (sevit) for robust medical image classification
F Almalik, M Yaqub, K Nandakumar
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Continual domain incremental learning for chest x-ray classification in low-resource clinical settings
S Srivastava, M Yaqub, K Nandakumar, Z Ge, D Mahapatra
MICCAI Workshop on Domain Adaptation and Representation Transfer, 226-238, 2021
Class-specific regression random forest for accurate extraction of standard planes from 3D echocardiography
K Chykeyuk, M Yaqub, J Alison Noble
Medical Computer Vision. Large Data in Medical Imaging: Third International …, 2014
Reversible watermarking using modified difference expansion
A Al-Jaber, MK Yaqub
International Journal of Computing & Information Sciences 4 (3), 134-142, 2006
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