Tong Zhang
Orcid: 0000-0002-8838-4963Affiliations:
- 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 30 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Continual Learning of Image Classes With Language Guidance From a Vision-Language Model.
IEEE Trans. Circuits Syst. Video Technol., December, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
MAKEN: Improving Medical Report Generation with Adapter Tuning and Knowledge Enhancement in Vision-Language Foundation Models.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
PCLmed: Champion Solution for ImageCLEFmedical 2024 Caption Prediction Challenge via Medical Vision-Language Foundation Models.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
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
A deep transfer learning network for structural condition identification with limited real-world training data.
CoRR, 2023
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Partial-Labeled Abdominal Organ and Cancer Segmentation via Cascaded Dual-Decoding U-Net.
Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023
PCLmed at ImageCLEFmedical 2023: Customizing General-Purpose Foundation Models for Medical Report Generation.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 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
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
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
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
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