Lei Zhang
Orcid: 0000-0002-1302-2626Affiliations:
- 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 24 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
Validation of Human Pose Estimation and Human Mesh Recovery for Extracting Clinically Relevant Motion Data from Videos.
CoRR, March, 2025
MetaFE-DE: Learning Meta Feature Embedding for Depth Estimation from Monocular Endoscopic Images.
CoRR, February, 2025
SEDyConv: Spatially enhanced multi-dimensional dynamic convolution for medical multi-organ segmentation in CTs.
Knowl. Based Syst., 2025
PMFSNet: Polarized multi-scale feature self-attention network for lightweight medical image segmentation.
Comput. Methods Programs Biomed., 2025
Enhanced Anomaly Detection in 3D Motion Through Language-Inspired Occlusion-Aware Modeling.
Proceedings of the MultiMedia Modeling, 2025
2024
A marker-less human motion analysis system for motion-based biomarker identification and quantification in knee disorders.
Frontiers Digit. Health, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
A marker-less human motion analysis system for motion-based biomarker discovery in knee disorders.
CoRR, 2023
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
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
CoRR, 2019
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
Comput. Medical Imaging Graph., 2015
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