Tong Zhang

Orcid: 0000-0002-8838-4963

Affiliations:
  • Peng Cheng Laboratory, Shenzhen, China
  • King's College London, Department of Biomedical Engineering, UK (former)
  • University of Sydney, School of Information Technologies, NSW, Australia (PhD 2015)


According to our database1, Tong Zhang authored at least 20 papers between 2011 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Two-Person Graph Convolutional Network for Skeleton-Based Human Interaction Recognition.
IEEE Trans. Circuits Syst. Video Technol., July, 2023

Improving Medical Report Generation with Adapter Tuning and Knowledge Enhancement in Vision-Language Foundation Models.
CoRR, 2023

Customizing General-Purpose Foundation Models for Medical Report Generation.
CoRR, 2023

CardiacSeg: Customized Pre-training Volumetric Transformer with Scaling Pyramid for 3D Cardiac Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Adapting Pre-Trained Visual and Language Models for Medical Image Question Answering.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark Under Heterogeneous AI Computing Platforms.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

GNN-Based Structural Dynamics Simulation for Modular Buildings.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

CLIP Meets Video Captioning: Concept-Aware Representation Learning Does Matter.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Consensus-Guided Keyword Targeting for Video Captioning.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

2021
EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Towards Unbiased Covid-19 Lesion Localisation And Segmentation Via Weakly Supervised Learning.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI.
IEEE Trans. Medical Imaging, 2020

2019
Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2016
An integrated framework for magnetic resonance image reconstruction and segmentation.
PhD thesis, 2016

2014
A clonal selection based approach to statistical brain voxel classification in magnetic resonance images.
Neurocomputing, 2014

Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method.
Biomed. Signal Process. Control., 2014

2012
A deformable cosegmentation algorithm for brain MR images.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Clonal Selection Algorithm for Gaussian Mixture Model Based Segmentation of 3D Brain MR Images.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011


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