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ORCIDTong Tong 0001
Person information
- affiliation: Imperial College London, Biomedical Image Analysis Group, UK
- affiliation: Harvard Medical School, Laboratory for Computational Neuroimaging, Charlestown, MA, USA
Other persons with the same name
- Tong Tong — disambiguation page
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2020 – today
- 2024
[j22]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): 105605 (2024)- [i10]Ruige Zong, Tao Wang, Chunwang Li, Xinlin Zhang, Yuanbin Chen, Longxuan Zhao, Qixuan Li, Qinquan Gao, Dezhi Kang, Fuxin Lin, Tong Tong:
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations. CoRR abs/2403.15803 (2024) - 2023
- [j21]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): 104261 (2023) - [j20]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): 105336 (2023) - [j19]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: 106551 (2023) - [j18]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: 102403 (2023) - [j17]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): 2444-2455 (2023) - [c29]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: 1346-1372 - [c28]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: 1416-1425 - [c27]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: 214-221 - [c26]Xiaogen Zhou, Zhiqiang Li, Tong Tong:
RPUC: Semi-supervised 3D Biomedical Image Segmentation Through Rectified Pyramid Unsupervised Consistency. ICONIP (3) 2023: 328-339 - [c25]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: 467-479 - [c24]Xiaogen Zhou, Zhiqiang Li, Tong Tong:
PPS: Semi-supervised 3D Biomedical Image Segmentation via Pyramid Pseudo-Labeling Supervision. PRCV (13) 2023: 272-283 - [c23]Xiaogen Zhou, Zhiqiang Li, Tong Tong:
DM-Net: A Dual-Model Network for Automated Biomedical Image Diagnosis. RECOMB 2023: 74-84 - [i9]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 abs/2306.16918 (2023) - [i8]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 abs/2308.16573 (2023) - [i7]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 abs/2311.10349 (2023) - [i6]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 abs/2311.14388 (2023) - [i5]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 abs/2312.07934 (2023) - [i4]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 abs/2312.17538 (2023) - 2022
- [j16]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: 107186 (2022) - [j15]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: 575-590 (2022) - [c22]Xiaogen Zhou, Zhiqiang Li, Tong Tong:
DTSC-Net: Semi-supervised 3D Biomedical Image Segmentation through Dual-Teacher Simplified Consistency. BIBM 2022: 1429-1434 - [c21]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: 769-776 - [c20]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: 1770-1775 - [c19]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: 172-179 - 2021
- [j14]Qinquan Gao, Hanxin Zeng, Gen Li, Tong Tong:
Graph Reasoning-Based Emotion Recognition Network. IEEE Access 9: 6488-6497 (2021) - [j13]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: 11282-11295 (2021) - [j12]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: 104478 (2021) - [c18]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: 14-23 - [c17]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: 61-66 - 2020
- [j11]Qinquan Gao, Yuanbo Zhou, Gen Li, Tong Tong:
Compact StereoNet: Stereo Disparity Estimation via Knowledge Distillation and Compact Feature Extractor. IEEE Access 8: 192141-192154 (2020) - [c16]Yuanbo Zhou, Wei Deng, Tong Tong, Qinquan Gao:
Guided Frequency Separation Network for Real-World Super-Resolution. CVPR Workshops 2020: 1722-1731
2010 – 2019
- 2019
- [c15]Shaojin Cai, Yuyang Xue, Qinquan Gao, Min Du, Gang Chen, Hejun Zhang, Tong Tong:
Stain Style Transfer Using Transitive Adversarial Networks. MLMIR@MICCAI 2019: 163-172 - [i3]Shaojin Cai, Yuyang Xue, Qinquan Gao, Min Du, Gang Chen, Hejun Zhang, Tong Tong:
Stain Style Transfer using Transitive Adversarial Networks. CoRR abs/1910.10330 (2019) - 2018
- [j10]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): 1683-1696 (2018) - [c14]Qinquan Gao, Yan Zhao, Gen Li, Tong Tong:
Image Super-Resolution Using Knowledge Distillation. ACCV (2) 2018: 527-541 - [c13]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: 315-333 - [i2]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 abs/1810.01641 (2018) - 2017
- [j9]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: 346-355 (2017) - [j8]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: 171-181 (2017) - [j7]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: 561-569 (2017) - [j6]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): 155-165 (2017) - [c12]Tong Tong, Gen Li, Xiejie Liu, Qinquan Gao:
Image Super-Resolution Using Dense Skip Connections. ICCV 2017: 4809-4817 - 2016
- [j5]Ricardo Guerrero, Alexander Schmidt-Richberg, Christian Ledig, Tong Tong, Robin Wolz, Daniel Rueckert:
Instantiated mixed effects modeling of Alzheimer's disease markers. NeuroImage 142: 113-125 (2016) - [i1]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 abs/1605.00029 (2016) - 2015
- [j4]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): 92-104 (2015) - [c11]Tong Tong, Qinquan Gao:
Extraction of Features from Patch Based Graphs for the Prediction of Disease Progression in AD. ICIC (2) 2015: 500-509 - [c10]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: 221-232 - [c9]Tong Tong, Katherine R. Gray, Qinquan Gao, Liang Chen, Daniel Rueckert:
Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease. MLMI 2015: 77-84 - [c8]Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker:
Supervoxel Classification Forests for Estimating Pairwise Image Correspondences. MLMI 2015: 94-101 - [c7]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: 523-530 - 2014
- [b1]Tong Tong:
Patch-based image analysis : application to segmentation and disease classification. Imperial College London, UK, 2014 - [j3]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): 808-818 (2014) - [c6]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: 3298-3303 - [c5]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: 90350A - [c4]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: 903407 - 2013
- [j2]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: 11-23 (2013) - [j1]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): 1302-1315 (2013) - [c3]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: 1280-1283 - [c2]Tong Tong, Robin Wolz, Qinquan Gao, Joseph V. Hajnal, Daniel Rueckert:
Multiple Instance Learning for Classification of Dementia in Brain MRI. MICCAI (2) 2013: 599-606 - 2012
- [c1]Zehan Wang, Robin Wolz, Tong Tong, Daniel Rueckert:
Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework. MCV 2012: 93-103
Coauthor Index
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