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zhang lei
zhang lei
Senior Lecturer, Univestiy of Lincoln
在 lincoln.ac.uk 的电子邮件经过验证
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引用次数
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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
19242018
Automatic individual pig detection and tracking in pig farms
L Zhang, H Gray, X Ye, L Collins, N Allinson
Sensors 19 (5), 1188, 2019
1482019
Retinal vessel segmentation using multi-scale textons derived from keypoints
L Zhang, M Fisher, W Wang
Computerized Medical Imaging and Graphics 45, 47-56, 2015
792015
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
International MICCAI brainlesion workshop, 204-215, 2018
772018
Automatic skin lesion segmentation by coupling deep fully convolutional networks and shallow network with textons
L Zhang, G Yang, X Ye
Journal of Medical Imaging 6 (2), 024001-024001, 2019
562019
A transformer-based framework for automatic COVID19 diagnosis in chest CTs
L Zhang, Y Wen
Proceedings of the IEEE/CVF international conference on computer vision, 513-518, 2021
522021
Automated polyp segmentation in colonoscopy frames using fully convolutional neural network and textons
L Zhang, S Dolwani, X Ye
Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017 …, 2017
522017
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
392017
DR-Unet104 for Multimodal MRI brain tumor segmentation
J Colman, L Zhang, W Duan, X Ye
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021
342021
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
342016
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
302017
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
132019
Retinal vessel segmentation using Gabor filter and textons
L Zhang, M Fisher, W Wang
Medical Image Understanding and Analysis (MIUA 2014), 155-160, 2014
132014
Rethinking the transfer learning for FCN based polyp segmentation in colonoscopy
Y Wen, L Zhang, X Meng, X Ye
IEEE Access 11, 16183-16193, 2023
112023
Novel Clinical Applications of Marker-less Motion Capture as a Low-cost Human Motion Analysis Method in the Detection and Treatment of Knee Osteoarthritis
PL Kai Armstrong, Yan Wen, Lei Zhang, Xujiong Ye
Journal of Arthritis 11 (1), 001-005, 2021
7*2021
Multi-modal brain segmentation using hyper-fused convolutional neural network
W Duan, L Zhang, J Colman, G Gulli, X Ye
Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN …, 2021
62021
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image Segmentation
J Zhong, W Tian, Y Xie, Z Liu, J Ou, T Tian, L Zhang
arXiv preprint arXiv:2401.07579, 2024
52024
Comparative performance of texton based vascular tree segmentation in retinal images
L Zhang, M Fisher, W Wang
2014 IEEE International Conference on Image Processing (ICIP), 952-956, 2014
42014
Locating blood vessels in retinal images using unified Textons
L Zhang, M Fisher, W Wang
17th Annual Conference in Medical Image Understanding and Analysis (MIUA), 2013
12013
A marker-less human motion analysis system for motion-based biomarker identification and quantification in knee disorders
K Armstrong, L Zhang, Y Wen, AP Willmott, P Lee, X Ye
Frontiers in Digital Health 6, 1324511, 2024
2024
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