| 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 | 181 | 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 | 113 | 2012 |
| Deep learning techniques for diabetic retinopathy classification: A survey MZ Atwany, AH Sahyoun, M Yaqub IEEE Access 10, 28642-28655, 2022 | 103 | 2022 |
| 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 | 90 | 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 | 89 | 2015 |
| Flower classification using deep convolutional neural networks H Hiary, H Saadeh, M Saadeh, M Yaqub IET Computer Vision 12 (6), 855-862, 2018 | 87 | 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 | 80 | 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 | 72 | 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 | 61 | 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 | 57 | 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 | 41 | 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 | 37 | 2019 |
| 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 | 34 | 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 | 33 | 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 | 32 | 2012 |
| 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 | 30 | 2014 |
| Reversible watermarking using modified difference expansion A Al-Jaber, MK Yaqub International Journal of Computing & Information Sciences 4 (3), 134-142, 2006 | 29 | 2006 |
| How to train vision transformer on small-scale datasets? H Gani, M Naseer, M Yaqub arXiv preprint arXiv:2210.07240, 2022 | 28 | 2022 |
| 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 | 26 | 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 | 26 | 2021 |
Alison NobleTechnikos Professor of Biomedical Engineering, University of Oxford, UKeng.ox.ac.uk의 이메일 확인됨
