Le Zhang

Orcid: 0000-0002-3848-0017

Affiliations:
  • University College London, London, UK
  • University of Sheffield, Centre for Computational Imaging and Simulation Technologies in Biomedicine, UK (former)


According to our database1, Le Zhang authored at least 19 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network.
IEEE Trans. Artif. Intell., September, 2024

Conditional advancement of machine learning algorithm via fuzzy neural network.
Pattern Recognit., 2024

2023
Learning from multiple annotators for medical image segmentation.
Pattern Recognit., June, 2023

Learning to restore multiple image degradations simultaneously.
Pattern Recognit., April, 2023

Multi-task Cooperative Learning via Searching for Flat Minima.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2021
Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets.
Medical Image Anal., 2021

2020
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images.
CoRR, 2020

Disentangling Human Error from Ground Truth in Segmentation of Medical Images.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Segment When Experts Disagree.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN.
IEEE Trans. Biomed. Eng., 2019

Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.
Medical Image Anal., 2019

Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN.
CoRR, 2018

Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

2017
Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

2016
Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016


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