- Soltaninejad, Mohammadreza and Zhang, Lei and Lambrou, Tryphon and Yang, Guang and Allinson, Nigel and Ye, Xujiong (2018) MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks. In: Crimi A., Bakas S., Kuijf H., Menze B., Reyes M. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Lecture Notes in Computer Science . ISSN 0302-9743
- Zhang, Lei and Dudley, Nicholas and Lambrou, Tryphon and Allinson, Nigel and Ye, Xujiong (2017) Automatic image quality assessment and measurement of fetal head in two-dimensional ultrasound image. Journal of Medical Imaging, 4 (2). 02401. ISSN 2329-4302
- Zhang, Lei and Ye, Xujiong and Lambrou, Tryphon and Duan, Wenting and Allinson, Nigel and Dudley, Nicholas (2016) A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images. Physics in Medicine and Biology, 61 (3). p. 1095. ISSN 0031-9155
- Zhang, Lei and Fisher, Mark and Wang, Wenjia (2015) Retinal vessel segmentation using multi-scale textons derived from keypoints. Computerized Medical Imaging and Graphics, 45 . ISSN 0895-6111
Staff Directory
- Last Updated
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06/12/2018
- lzhang@lincoln.ac.uk
- Telephone
- 01522 83 5747
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University of Lincoln
Brayford Pool
Lincoln
Lincolnshire
LN6 7TS
United Kingdom
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Dr Lei Zhang
Research Assistant
School of Computer Science
College of Science
About Lei Zhang
Lei Zhang is a Research Fellow in College of Science
Department Responsibilities
The work aims to develop advanced techniques for automating ultrasound fetal biometric segmentation and measurements. The fetal biometrics includes fetal head, femur length and fetal abdomen.
Subject Specialism
Medical image processing, Image segmentation, machine learning and computer vision
Qualifications
- PhD — University of East Anglia, 2014
- MSc — University of East Anglia, 2008
- BSc — NanJing Audit University, 2007
Orcid ID
0000-0002-1302-2626
Research Interests
Medical Image Analysis
Medical Image Segmentation