Lei Zhang

Orcid: 0000-0002-1302-2626

Affiliations:
  • University of Lincoln, Laboratory of Vision Engineering, UK
  • University of East Anglia, Norwich, UK (PhD 2014)


According to our database1, Lei Zhang authored at least 18 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A marker-less human motion analysis system for motion-based biomarker identification and quantification in knee disorders.
Frontiers Digit. Health, 2024

2023
A marker-less human motion analysis system for motion-based biomarker discovery in knee disorders.
CoRR, 2023

Rethinking the Transfer Learning for FCN Based Polyp Segmentation in Colonoscopy.
IEEE Access, 2023

Zero-dimensional biomarker based medical action recognition: towards more explainable AI in healthcare.
Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023

2022
MidFusNet: Mid-dense Fusion Network for Multi-modal Brain MRI Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
Multi-modal Brain Segmentation Using Hyper-Fused Convolutional Neural Network.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

A transformer-based framework for automatic COVID19 diagnosis in chest CTs.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
DR-Unet104 for Multimodal MRI Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Automatic Individual Pig Detection and Tracking in Pig Farms.
Sensors, 2019

MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks.
CoRR, 2019

2018
Automatic individual pig detection and tracking in surveillance videos.
CoRR, 2018

2017
Multimodal MRI brain tumor segmentation using random forests with features learned from fully convolutional neural network.
CoRR, 2017

Automated Polyp Segmentation in Colonoscopy Frames Using Fully Convolutional Neural Network and Textons.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

2015
Retinal vessel segmentation using multi-scale textons derived from keypoints.
Comput. Medical Imaging Graph., 2015

2014
Retinal vessel segmentation using textons.
PhD thesis, 2014

Retinal Vessel Segmentation using Gabor Filter and Textons.
Proceedings of the Medical Image Understanding and Analysis, 2014

Comparative performance of texton based vascular tree segmentation in retinal images.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014


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