Tong Tong

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 51

Top Venues

CoRR

Biomed. Signal Process. Control.

IEEE Access

CVPR Workshops

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Hui Tang, Yuanbin Chen, Tao Wang, Yuanbo Zhou, Longxuan Zhao, Qinquan Gao, Min Du, Tao Tan, Xinlin Zhang, Tong Tong
HTC-Net: A hybrid CNN-transformer framework for medical image segmentation. Biomed. Signal Process. Control. 88 (Part A) (2024)
Ziwei Hu, Yanglin Deng, Junlin Lan, Tao Wang, Zixin Han, Yuxiu Huang, Hejun Zhang, Jianchao Wang, Musheng Cheng, Haiyan Jiang, Ren-Guey Lee, Ming Du, Tong Tong, Qinquan Gao, Gang Chen
A multi-task deep learning framework for perineural invasion recognition in gastric cancer whole slide images. Biomed. Signal Process. Control. 79 (Part) (2023)
Tao Wang, Yuanbin Chen, Xinlin Zhang, Yuanbo Zhou, Junlin Lan, Bizhe Bai, Tao Tan, Min Du, Qinquan Gao, Tong Tong
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation. CoRR (2023)
Xiangyu Xiong, Yue Sun, Xiaohong Liu, Chan-Tong Lam, Tong Tong, Hao Chen, Qinquan Gao, Wei Ke, Tao Tan
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification. CoRR (2023)
Tao Wang, Xinlin Zhang, Yuanbo Zhou, Junlin Lan, Tao Tan, Min Du, Qinquan Gao, Tong Tong
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification. CoRR (2023)
Rongsheng Wang, Yaofei Duan, Menghan Hu, Xiaohong Liu, Yukun Li, Qinquan Gao, Tong Tong, Tao Tan
LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results. Displays 78 (2023)
Xiaogen Zhou, Zhiqiang Li, Tong Tong
PPS: Semi-supervised 3D Biomedical Image Segmentation via Pyramid Pseudo-Labeling Supervision. PRCV (13) (2023)
Yuanbo Zhou, Yuyang Xue, Wei Deng, Ruofeng Nie, Jiajun Zhang, Jiaqi Pu, Qinquan Gao, Junlin Lan, Tong Tong
Stereo Cross Global Learnable Attention Module for Stereo Image Super-Resolution. CVPR Workshops (2023)
Xiangyu Xiong, Yue Sun, Xiaohong Liu, Wei Ke, Chan-Tong Lam, Jiangang Chen, Mingfeng Jiang, Mingwei Wang, Hui Xie, Tong Tong, Qinquan Gao, Hao Chen, Tao Tan
Distance Guided Generative Adversarial Network for Explainable Binary Classifications. CoRR (2023)
Zhechen Guo, Junlin Lan, Jianchao Wang, Ziwei Hu, Zhida Wu, Jiawei Quan, Zixin Han, Tao Wang, Ming Du, Qinquan Gao, Yuyang Xue, Tong Tong, Gang Chen
Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning. Biomed. Signal Process. Control. 86 (Part C) (2023)
Xiaogen Zhou, Zhiqiang Li, Tong Tong
RPUC: Semi-supervised 3D Biomedical Image Segmentation Through Rectified Pyramid Unsupervised Consistency. ICONIP (3) (2023)
Xiaogen Zhou, Zhiqiang Li, Tong Tong
DM-Net: A Dual-Model Network for Automated Biomedical Image Diagnosis. RECOMB (2023)
Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops (2023)
Yuanbin Chen, Tao Wang, Hui Tang, Longxuan Zhao, Ruige Zong, Tao Tan, Xinlin Zhang, Tong Tong
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation. CoRR (2023)
Zhiqiang Li, Xiaogen Zhou, Tong Tong
A Two-Stage Network for Segmentation of Vertebrae and Intervertebral Discs: Integration of Efficient Local-Global Fusion Using 3D Transformer and 2D CNN. ICONIP (10) (2023)
Zhiping Yao, Jiang Bi, Wei Deng, Wenlin He, Mi Zhou, Qinquan Gao, Tong Tong
Dual-Encoder Unet for Single Image HDR Reconstruction with Denoising. ICCAI (2023)
Yuanbo Zhou, Yuyang Xue, Jiang Bi, Wenlin He, Xinlin Zhang, Jiajun Zhang, Wei Deng, Ruofeng Nie, Junlin Lan, Qinquan Gao, Tong Tong
Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information. CoRR (2023)
Xiaogen Zhou, Zhiqiang Li, Yuyang Xue, Shun Chen, Meijuan Zheng, Cong Chen, Yue Yu, Xingqing Nie, Xingtao Lin, Luoyan Wang, Junlin Lan, Gang Chen, Min Du, Ensheng Xue, Tong Tong
CUSS-Net: A Cascaded Unsupervised-Based Strategy and Supervised Network for Biomedical Image Diagnosis and Segmentation. IEEE J. Biomed. Health Informatics 27 (5) (2023)
Xiaogen Zhou, Tong Tong, Zhixiong Zhong, Haoyi Fan, Zuoyong Li
Saliency-CCE: Exploiting colour contextual extractor and saliency-based biomedical image segmentation. Comput. Biol. Medicine 154 (2023)
Xingtao Lin, Xiaogen Zhou, Tong Tong, Xingqing Nie, Luoyan Wang, Zhiqiang Li
BSG-Net: A Blind Super-resolution Guided Network for Improving Ultrasound Image Segmentation. ICKG (2022)
Xingtao Lin, Xiaogen Zhou, Tong Tong, Xingqing Nie, Zhiqiang Li
SG-Net: A Super-resolution Guided Network for Improving Thyroid Nodule Segmentation. HPCC/DSS/SmartCity/DependSys (2022)
Xingtao Lin, Xiaogen Zhou, Tong Tong, Xingqing Nie, Luoyan Wang, Haonan Zheng, Jing Li, Ensheng Xue, Shun Chen, Meijuan Zheng, Cong Chen, Haiyan Jiang, Min Du, Qinquan Gao
A Super-resolution Guided Network for Improving Automated Thyroid Nodule Segmentation. Comput. Methods Programs Biomed. 227 (2022)
Xiaogen Zhou, Zhiqiang Li, Tong Tong
DTSC-Net: Semi-supervised 3D Biomedical Image Segmentation through Dual-Teacher Simplified Consistency. BIBM (2022)
Xingqing Nie, Xiaogen Zhou, Zhiqiang Li, Luoyan Wang, Xingtao Lin, Tong Tong
LogTrans: Providing Efficient Local-Global Fusion with Transformer and CNN Parallel Network for Biomedical Image Segmentation. HPCC/DSS/SmartCity/DependSys (2022)
Xiaogen Zhou, Xingqing Nie, Zhiqiang Li, Xingtao Lin, Ensheng Xue, Luoyan Wang, Junlin Lan, Gang Chen, Min Du, Tong Tong
H-Net: A dual-decoder enhanced FCNN for automated biomedical image diagnosis. Inf. Sci. 613 (2022)
Junlin Lan, Shaojin Cai, Yuyang Xue, Qinquan Gao, Min Du, Hejun Zhang, Zhida Wu, Yanglin Deng, Yuxiu Huang, Tong Tong, Gang Chen
Unpaired Stain Style Transfer Using Invertible Neural Networks Based on Channel Attention and Long-Range Residual. IEEE Access 9 (2021)
Qinquan Gao, Hanxin Zeng, Gen Li, Tong Tong
Graph Reasoning-Based Emotion Recognition Network. IEEE Access 9 (2021)
Jing Li, Jiaqi Pu, Xiaogen Zhou, Haonan Zheng, Qinquan Gao, Ensheng Xue, Tong Tong
Multi-angle Dual-task Consistency for Semi-Supervised Medical Image Segmentation. ICIT (2021)
Weiming Lin, Qinquan Gao, Min Du, Weisheng Chen, Tong Tong
Multiclass diagnosis of stages of Alzheimer's disease using linear discriminant analysis scoring for multimodal data. Comput. Biol. Medicine 134 (2021)
Yuxiu Huang, Yuyang Xue, Junlin Lan, Yanglin Deng, Gang Chen, Hejun Zhang, Mengyuan Dang, Tong Tong
Deep Learning Framework for Detecting Positive Lymph Nodes of Gastric Cancer on Histopathological Images. ICBSP (2021)
Qinquan Gao, Yuanbo Zhou, Gen Li, Tong Tong
Compact StereoNet: Stereo Disparity Estimation via Knowledge Distillation and Compact Feature Extractor. IEEE Access 8 (2020)
Yuanbo Zhou, Wei Deng, Tong Tong, Qinquan Gao
Guided Frequency Separation Network for Real-World Super-Resolution. CVPR Workshops (2020)
Shaojin Cai, Yuyang Xue, Qinquan Gao, Min Du, Gang Chen, Hejun Zhang, Tong Tong
Stain Style Transfer Using Transitive Adversarial Networks. MLMIR@MICCAI (2019)
Shaojin Cai, Yuyang Xue, Qinquan Gao, Min Du, Gang Chen, Hejun Zhang, Tong Tong
Stain Style Transfer using Transitive Adversarial Networks. CoRR (2019)
Qinquan Gao, Yan Zhao, Gen Li, Tong Tong
Image Super-Resolution Using Knowledge Distillation. ACCV (2) (2018)
Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR (2018)
Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) (2018)
Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies. IEEE Trans. Pattern Anal. Mach. Intell. 40 (7) (2018)
Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker
Supervoxel classification forests for estimating pairwise image correspondences. Pattern Recognit. 63 (2017)
Tong Tong, Gen Li, Xiejie Liu, Qinquan Gao
Image Super-Resolution Using Dense Skip Connections. ICCV (2017)
Tong Tong, Qinquan Gao, Ricardo Guerrero, Christian Ledig, Liang Chen, Daniel Rueckert
A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease. IEEE Trans. Biomed. Eng. 64 (1) (2017)
Tong Tong, Iman Aganj, Tian Ge, Jonathan R. Polimeni, Bruce Fischl
Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration. NeuroImage 158 (2017)
Tong Tong, Katherine R. Gray, Qinquan Gao, Liang Chen, Daniel Rueckert
Multi-modal classification of Alzheimer's disease using nonlinear graph fusion. Pattern Recognit. 63 (2017)
Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies. CoRR (2016)
Ricardo Guerrero, Alexander Schmidt-Richberg, Christian Ledig, Tong Tong, Robin Wolz, Daniel Rueckert
Instantiated mixed effects modeling of Alzheimer's disease markers. NeuroImage 142 (2016)
Liang Chen, Tong Tong, Chin Pang Ho, Rajiv Patel, David A. Cohen, Angela C. Dawson, Omid Halse, Olivia Geraghty, Paul E. M. Rinne, Christopher J. White, Tagore Nakornchai, Paul Bentley, Daniel Rueckert
Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning. MICCAI (1) (2015)
Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker
Supervoxel Classification Forests for Estimating Pairwise Image Correspondences. MLMI (2015)
Tong Tong, Robin Wolz, Zehan Wang, Qinquan Gao, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Joseph V. Hajnal, Daniel Rueckert
Discriminative dictionary learning for abdominal multi-organ segmentation. Medical Image Anal. 23 (1) (2015)
Tong Tong, Qinquan Gao
Extraction of Features from Patch Based Graphs for the Prediction of Disease Progression in AD. ICIC (2) (2015)
Lisa M. Koch, Martin Rajchl, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data. IPMI (2015)
Tong Tong, Katherine R. Gray, Qinquan Gao, Liang Chen, Daniel Rueckert
Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease. MLMI (2015)
Qinquan Gao, Akshay Asthana, Tong Tong, Daniel Rueckert, Philip J. Edwards
Multi-scale feature learning on pixels and super-pixels for seminal vesicles MRI segmentation. Medical Imaging: Image Processing (2014)
Qinquan Gao, Tong Tong, Daniel Rueckert, Eddie Edwards
Multi-atlas propagation via a manifold graph on a database of both labeled and unlabeled images. Medical Imaging: Computer-Aided Diagnosis (2014)
Qinquan Gao, Akshay Asthana, Tong Tong, Yipeng Hu, Daniel Rueckert, Philip J. Edwards
Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images. ICPR (2014)
Tong Tong, Robin Wolz, Qinquan Gao, Ricardo Guerrero, Joseph V. Hajnal, Daniel Rueckert
Multiple instance learning for classification of dementia in brain MRI. Medical Image Anal. 18 (5) (2014)
Kai-Pin Tung, Wen-Jia Bei, Wenzhe Shi, Haiyan Wang, Tong Tong, Ranil De Silva, Eddie Edwards, Daniel Rueckert
Multi-atlas based neointima segmentation in intravascular coronary OCT. ISBI (2013)
Wenjia Bai, Wenzhe Shi, Declan P. O'Regan, Tong Tong, Haiyan Wang, Shahnaz Jamil-Copley, Nicholas S. Peters, Daniel Rueckert
A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images. IEEE Trans. Medical Imaging 32 (7) (2013)
Tong Tong, Robin Wolz, Qinquan Gao, Joseph V. Hajnal, Daniel Rueckert
Multiple Instance Learning for Classification of Dementia in Brain MRI. MICCAI (2) (2013)
Tong Tong, Robin Wolz, Pierrick Coupé, Joseph V. Hajnal, Daniel Rueckert
Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling. NeuroImage 76 (2013)
Zehan Wang, Robin Wolz, Tong Tong, Daniel Rueckert
Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework. MCV (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tong Tong