| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2287 | 2018 |
| Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI M Soltaninejad, G Yang, T Lambrou, N Allinson, TL Jones, TR Barrick, ... International journal of computer assisted radiology and surgery 12, 183-203, 2017 | 366 | 2017 |
| Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels M Soltaninejad, G Yang, T Lambrou, N Allinson, TL Jones, TR Barrick, ... Computer methods and programs in biomedicine 157, 69-84, 2018 | 231 | 2018 |
| Classification of audio signals using statistical features on time and wavelet transform domains T Lambrou, P Kudumakis, R Speller, M Sandler, A Linney Proceedings of the 1998 IEEE International Conference on Acoustics, Speech …, 1998 | 231 | 1998 |
| Areas of normal pulmonary parenchyma on HRCT exhibit increased FDG PET signal in IPF patients T Win, BA Thomas, T Lambrou, BF Hutton, NJ Screaton, JC Porter, ... European journal of nuclear medicine and molecular imaging 41, 337-342, 2014 | 92 | 2014 |
| The importance of correction for tissue fraction effects in lung PET: preliminary findings T Lambrou, AM Groves, K Erlandsson, N Screaton, R Endozo, T Win, ... European journal of nuclear medicine and molecular imaging 38, 2238-2246, 2011 | 79 | 2011 |
| 18F-Fluorodeoxyglucose positron emission tomography pulmonary imaging in idiopathic pulmonary fibrosis is reproducible: implications for future clinical trials T Win, T Lambrou, BF Hutton, I Kayani, NJ Screaton, JC Porter, TM Maher, ... European journal of nuclear medicine and molecular imaging 39, 521-528, 2012 | 69 | 2012 |
| MRI brain tumor segmentation and patient survival prediction using random forests and fully convolutional networks M Soltaninejad, L Zhang, T Lambrou, G Yang, N Allinson, X Ye Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 66 | 2018 |
| DCE-MRI perfusion and permeability parameters as predictors of tumor response to CCRT in patients with locally advanced NSCLC X Tao, L Wang, Z Hui, L Liu, F Ye, Y Song, Y Tang, Y Men, T Lambrou, ... Scientific reports 6 (1), 35569, 2016 | 57 | 2016 |
| Novel approaches to the measurement of arterial blood flow from dynamic digital X-ray images KS Rhode, T Lambrou, DJ Hawkes, AM Seifalian IEEE transactions on medical imaging 24 (4), 500-513, 2005 | 52 | 2005 |
| Brain Tumour Grading in Different MRI Protocols using SVM on Statistical M Soltaninejad, X Ye, G Yang, N Allinson, T Lambrou | 41* | 2014 |
| MDA-unet: a multi-scale dilated attention U-net for medical image segmentation A Amer, T Lambrou, X Ye Applied Sciences 12 (7), 3676, 2022 | 39 | 2022 |
| Automatic image quality assessment and measurement of fetal head in two-dimensional ultrasound image L Zhang, NJ Dudley, T Lambrou, N Allinson, X Ye Journal of Medical Imaging 4 (2), 024001-024001, 2017 | 38 | 2017 |
| A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images L Zhang, X Ye, T Lambrou, W Duan, N Allinson, NJ Dudley Physics in Medicine & Biology 61 (3), 1095, 2016 | 37 | 2016 |
| A novel method for incorporating respiratory-matched attenuation correction in the motion correction of cardiac PET–CT studies SJ McQuaid, T Lambrou, BF Hutton Physics in Medicine & Biology 56 (10), 2903, 2011 | 32 | 2011 |
| MRI brain tumor segmentation using random forests and fully convolutional networks M Soltaninejad, L Zhang, T Lambrou, G Yang, N Allinson, X Ye arXiv preprint arXiv:1909.06337, 2019 | 30 | 2019 |
| Multimodal MRI brain tumor segmentation using random forests with features learned from fully convolutional neural network M Soltaninejad, L Zhang, T Lambrou, N Allinson, X Ye arXiv preprint arXiv:1704.08134, 2017 | 29 | 2017 |
| Thermal camera based physiological monitoring with an assistive robot S Coşar, Z Yan, F Zhao, T Lambrou, S Yue, N Bellotto 2018 40th annual international conference of the IEEE engineering in …, 2018 | 25 | 2018 |
| Level set segmentation of the fetal heart I Dindoyal, T Lambrou, J Deng, CF Ruff, AD Linney, CH Rodeck, ... International Workshop on Functional Imaging and Modeling of the Heart, 123-132, 2005 | 23 | 2005 |
| Level set snake algorithms on the fetal heart I Dindoyal, T Lambrou, J Deng, A Todd-Pokropek 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2007 | 22 | 2007 |
Professor Xujiong YeUniversity of ExeterCorreu electrònic verificat a exeter.ac.uk
