| 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 | 195 | 2013 |
| Deep learning techniques for diabetic retinopathy classification: A survey MZ Atwany, AH Sahyoun, M Yaqub IEEE Access 10, 28642-28655, 2022 | 172 | 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 | 118 | 2012 |
| Flower classification using deep convolutional neural networks H Hiary, H Saadeh, M Saadeh, M Yaqub IET computer vision 12 (6), 855-862, 2018 | 110 | 2018 |
| 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 | 109 | 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 | 100 | 2015 |
| 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 | 99 | 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 | 74 | 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 | 69 | 2017 |
| How to train vision transformer on small-scale datasets? H Gani, M Naseer, M Yaqub arXiv preprint arXiv:2210.07240, 2022 | 68 | 2022 |
| 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 | 61 | 2015 |
| 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 | 51 | 2022 |
| 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 | 45 | 2019 |
| 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 | 43 | 2011 |
| 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 | 41 | 2017 |
| 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 | 38 | 2021 |
| 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 | 38 | 2016 |
| Toward point-of-care ultrasound estimation of fetal gestational age from the trans-cerebellar diameter using CNN-based ultrasound image analysis MA Maraci, M Yaqub, R Craik, S Beriwal, A Self, P Von Dadelszen, ... Journal of Medical Imaging 7 (1), 014501-014501, 2020 | 36 | 2020 |
| 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 | 36 | 2012 |
| An ensemble approach for patient prognosis of head and neck tumor using multimodal data N Saeed, R Al Majzoub, I Sobirov, M Yaqub 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 278-286, 2021 | 35 | 2021 |
Alison NobleTechnikos Professor of Biomedical Engineering, University of Oxford, UKVerified email at eng.ox.ac.uk
