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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
- 2025
[j37]Longxuan Zhao, Tao Wang, Yuanbin Chen, Xinlin Zhang, Hui Tang, Ruige Zong, Tao Tan, Shun Chen, Tong Tong:
MSAByNet: A multiscale subtraction attention network framework based on Bayesian loss for medical image segmentation. Biomed. Signal Process. Control. 103: 107393 (2025)- [j36]Simin Lin, Longxin Deng, Ziwei Hu, Chengda Lin, Yongxin Mao, Yuntao Liu, Wei Li
, Yue Yang, Rui Zhou, Yancheng Lai, Huang He, Tao Tan, Xinlin Zhang, Tong Tong, Na Ta, Rui Chen:
Predicting FOXA1 gene mutation status in prostate cancer through multi-modal deep learning. Biomed. Signal Process. Control. 106: 107739 (2025) - [j35]Mingfu Jiang, Shuai Wang, Ka-Hou Chan, Yue Sun, Yi Xu, Zhuoneng Zhang, Qinquan Gao, Zhifan Gao, Tong Tong, Hing-Chiu Chang, Tao Tan:
Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing. Comput. Medical Imaging Graph. 121: 102497 (2025) - [j34]Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Tong Tong:
Parameter-efficient fine-tuning for single image snow removal. Expert Syst. Appl. 265: 125901 (2025) - [j33]Yuanbo Zhou, Xinlin Zhang, Wei Deng, Tao Wang, Tao Tan, Qinquan Gao, Tong Tong:
DiffSteISR: Harnessing diffusion prior for superior real-world stereo image super-resolution. Neurocomputing 623: 129437 (2025) - [j32]Xintao Qiu, Yuanbo Zhou, Xinlin Zhang, Yuyang Xue, Xiaoyong Lin, Xinwei Dai, Hui Tang, Guoyang Liu, Rui Yang, Zhen Liu, Xiaojing Wei, Junxiu Yang, Tong Tong, Qinquan Gao:
MHAVSR: A multi-layer hybrid alignment network for video super-resolution. Neurocomputing 624: 129501 (2025) - [i17]Yanfeng Li, Ka-Hou Chan, Yue Sun, Chan-Tong Lam, Tong Tong, Zitong Yu, Keren Fu, Xiaohong Liu, Tao Tan:
MoEdit: On Learning Quantity Perception for Multi-object Image Editing. CoRR abs/2503.10112 (2025) - 2024
- [j31]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) - [j30]Jiawei Quan, Jingxuan Ye, Junlin Lan, Jianchao Wang, Ziwei Hu, Zhechen Guo, Tao Wang, Zixin Han, Zhida Wu, Tao Tan, Min Du, Tong Tong, Gang Chen:
A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma. Biomed. Signal Process. Control. 92: 106064 (2024) - [j29]Zhiping Yao, Jiang Bi, Wei Deng, Wenlin He, Zihan Wang, Xu Kuang, Mi Zhou, Qinquan Gao, Tong Tong:
DEUNet: Dual-encoder UNet for simultaneous denoising and reconstruction of single HDR image. Comput. Graph. 119: 103882 (2024) - [j28]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 medical image classifications. Comput. Medical Imaging Graph. 118: 102444 (2024) - [j27]Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Tao Tan, Qing Zhang, Tong Tong:
WaveFrSnow: Comprehensive perception wavelet transform frequency separation transformer for image snow removal. Digit. Signal Process. 155: 104715 (2024) - [j26]Hui Tang, Yuanbo Zhou, Yuanbin Chen, Xinlin Zhang, Yuyang Xue, Xiaoyong Lin, Xinwei Dai, Xintao Qiu, Qinquan Gao, Tong Tong:
Two-stage image colorization via color codebook. Expert Syst. Appl. 250: 123943 (2024) - [j25]Yuanbo Zhou, Yuyang Xue, Jiang Bi, Wenlin He, Xinlin Zhang, Jiajun Zhang, Wei Deng, Ruofeng Nie, Junlin Lan, Qinquan Gao, Tong Tong:
Towards real world stereo image super-resolution via hybrid degradation model and discriminator for implied stereo image information. Expert Syst. Appl. 255: 124457 (2024) - [j24]Ziwei Hu, Jianchao Wang, Qinquan Gao, Zhida Wu, Hanchuan Xu, Zhechen Guo, Jiawei Quan, Lihua Zhong, Min Du, Tong Tong, Gang Chen:
Weakly Supervised Classification for Nasopharyngeal Carcinoma With Transformer in Whole Slide Images. IEEE J. Biomed. Health Informatics 28(12): 7251-7262 (2024) - [j23]Jiajun Zhang, Yuanbo Zhou, Tong Tong, Hongjun Liu, Tian Tian, Xingmei Hu, Qinquan Gao, Xiaoyong Lin:
E2-RealSR: efficient and effective real-world super-resolution network based on partial degradation modulation. Vis. Comput. 40(12): 8867-8880 (2024) - [j22]Siyi Xun, Yan Zhang, Sixu Duan, Mingwei Wang, Jiangang Chen, Tong Tong, Qinquan Gao, Chan-Tong Lam, Menghan Hu, Tao Tan:
ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation. Virtual Real. Intell. Hardw. 6(3): 203-216 (2024) - [c43]Huihuan Xu, Siqi Zhang, Jingkun Yue, Tong Tong, Xiaohong Liu, Guangyu Wang:
ASC-3DSAM: Adjacent-Slice Correspondence-guided SAM for 3D Medical Image Segmentation. BIBM 2024: 5151-5157 - [c42]Marcos V. Conde, Zhijun Lei, Wen Li, Ioannis Katsavounidis, Radu Timofte, Min Yan, Xin Liu, Qian Wang, Xiaoqian Ye, Zhan Du, Tiansen Zhang, Zhiyuan Li, Hao Wei, Chenyang Ge, Jiangtao Lv, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Menghan Zhou, Yiqiang Yan, Kihwan Yoon, Ganzorig Gankhuyag, Jae-Hyeon Lee, Ui-Jin Choi, Hyeon-Cheol Moon, Tae Hyun Jeong, Yoonmo Yang, Jae-Gon Kim, Jinwoo Jeong, Sunjei Kim, Xintao Qiu, Yuanbo Zhou, Kongxian Wu, Xinwei Dai, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Long Peng, Jiaming Guo, Xin Di, Bohao Liao, Zhibo Du, Peize Xia, Renjing Pei, Yang Wang, Yang Cao, Zhengjun Zha, Bingnan Han, Hongyuan Yu, Zhuoyuan Wu, Cheng Wan, Yuqing Liu, Haodong Yu, Jizhe Li, Zhijuan Huang, Yuan Huang, Yajun Zou, Xianyu Guan, Qi Jia, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Dongyang Zhang, Tianle Liu, Huaian Chen, Yi Jin:
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey. CVPR Workshops 2024: 5838-5856 - [c41]Zhilu Zhang, Shuohao Zhang, Renlong Wu, Wangmeng Zuo, Radu Timofte, Xiaoxia Xing, Hyunhee Park, Sejun Song, Changho Kim, Xiangyu Kong, Jinlong Wu, Jianxing Zhang, Jingfan Tan, Zikun Liu, Wenhan Luo, Wenjie Lin, Chengzhi Jiang, Mingyan Han, Zhen Liu, Ting Jiang, Jinting Luo, Shen Cheng, Linze Li, Xinhan Niu, Shuaicheng Liu, Kexin Dai, Kangzhen Yang, Tao Hu, Xiangyu Chen, Yu Cao, Qingsen Yan, Yanning Zhang, Genggeng Chen, Yongqing Yang, Wei Dong, Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Peng Zhang, Yifei Chen, Wenbo Xiong, Zhijun Song, Pu Cheng, Taolue Feng, Yunqing He, Daiguo Zhou, Ying Huang, Xiaowen Ma, Peng Wu:
NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets, Methods and Results. CVPR Workshops 2024: 6153-6166 - [c40]Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong:
Learnable Global Spatio-Temporal Adaptive Aggregation for Bracketing Image Restoration and Enhancement. CVPR Workshops 2024: 6235-6245 - [c39]Ren Yang, Radu Timofte, Bingchen Li, Xin Li, Mengxi Guo, Shijie Zhao, Li Zhang, Zhibo Chen, Dongyang Zhang, Yash Arora, Aditya Arora, Yuanbin Chen, Hui Tang, Tao Wang, Longxuan Zhao, Bin Chen, Tong Tong, Qiao Mo, Jingwei Bao, Jinhua Hao, Yukang Ding, Hantang Li, Ming Sun, Chao Zhou, Shuyuan Zhu, Zhi Jin, Wei Wang, Dandan Zhan, Jiawei Wu, Jiahao Wu, Luwei Tu, Hongyu An, Xinfeng Zhang, Woon-Ha Yeo, Wang-Taek Oh, Young-Il Kim, Han-Cheol Ryu, Long Sun, Mingjun Zhen, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Yapeng Du, Ao Li, Ziyang He, Lei Luo, Ce Zhu, Xin Yao, Sunder Ali Khowaja, Ikhyun Lee, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy:
NTIRE 2024 Challenge on Blind Enhancement of Compressed Image: Methods and Results. CVPR Workshops 2024: 6524-6535 - [c38]Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Zongwei Wu, Cailian Chen, Radu Timofte, Wei Dong, Han Zhou, Yuqiong Tian, Jun Chen, Xueyang Fu, Xin Lu, Yurui Zhu, Xi Wang, Dong Li, Jie Xiao, Yunpeng Zhang, Zheng-Jun Zha, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Yanyan Wei, Zhihao Zhao, Long Sun, Tingting Yang, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bilel Benjdira, Mohammed Nassif, Anis Koubaa, Ahmed Elhayek, Anas M. Ali, Kyotaro Tokoro, Kento Kawai, Kaname Yokoyama, Takuya Seno, Yuki Kondo, Norimichi Ukita, Chenghua Li, Bo Yang, Zhiqi Wu, Gao Chen, Yihan Yu, Sixiang Chen, Kai Zhang, Tian Ye, Wenbin Zou, Yunlong Lin, Zhaohu Xing, Jinbin Bai, Wenhao Chai, Lei Zhu, Ritik Maheshwari, Rakshank Verma, Rahul Tekchandani, Praful Hambarde, Satya Narayan Tazi, Santosh Kumar Vipparthi, Subrahmanyam Murala, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Fan Gao, Weidan Yan, Wenze Shao, Dengyin Zhang, Bin Chen, Siqi Zhang, Yanxin Qian, Yuanbin Chen, Yuanbo Zhou, Tong Tong, Rongfeng Wei, Ruiqi Sun, Yue Liu, Nikhil Akalwadi, Amogh Joshi, Sampada Malagi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Adinath Dukre, Vivek Deshmukh, Shruti S. Phutke, Ashutosh Kulkarni, Anil Gonde, Arun karthik K, Manasa N, Shri Hari Priya, Wei Hao, Xingzhuo Yan, Minghan Fu:
NTIRE 2024 Image Shadow Removal Challenge Report. CVPR Workshops 2024: 6547-6570 - [c37]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CVPR Workshops 2024: 6571-6594 - [c36]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 Classifications. ICASSP 2024: 7310-7314 - [c35]Yuntao Liu, Ziwei Hu, Tong Tong:
Saliency Detection Based on a Novel Color Channel Volume and Background Likelihood Weight. ICIC (5) 2024: 23-35 - [c34]Hao Chen, Xintao Qiu, Xiaogen Zhou, Tao Wang, Xinxin Hu, Qing Zhang, Hongjun Liu, Yongyao Wen, Pei Zhang, Xinlin Zhang, Tong Tong:
MDIINet: A Few-Shot Semantic Segmentation Network by Exploiting Multi-dimensional Information Interaction. ICIC (6) 2024: 39-52 - [c33]Yongxin Mao, Ziwei Hu, Xinlin Zhang, Tong Tong:
TransPBMIL: Transformer-Based Weakly Supervised Prognostic Prediction in Ovarian Cancer with Pseudo-Bag Strategy. ICIC (LNBI 1) 2024: 171-180 - [i16]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) - [i15]Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CoRR abs/2404.14248 (2024) - [i14]Marcos V. Conde, Zhijun Lei, Wen Li, Cosmin Stejerean, Ioannis Katsavounidis, Radu Timofte, Kihwan Yoon, Ganzorig Gankhuyag, Jiangtao Lv, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhiyuan Li, Hao Wei, Chenyang Ge, Dongyang Zhang, Tianle Liu, Huaian Chen, Yi Jin, Menghan Zhou, Yiqiang Yan, Si Gao, Biao Wu, Shaoli Liu, Chengjian Zheng, Diankai Zhang, Ning Wang, Xintao Qiu, Yuanbo Zhou, Kongxian Wu, Xinwei Dai, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Jae-Hyeon Lee, Ui-Jin Choi, Min Yan, Xin Liu, Qian Wang, Xiaoqian Ye, Zhan Du, Tiansen Zhang, Long Peng, Jiaming Guo, Xin Di, Bohao Liao, Zhibo Du, Peize Xia, Renjing Pei, Yang Wang, Yang Cao, Zhengjun Zha, Bingnan Han, Hongyuan Yu, Zhuoyuan Wu, Cheng Wan, Yuqing Liu, Haodong Yu, Jizhe Li, Zhijuan Huang, Yuan Huang, Yajun Zou, Xianyu Guan, Qi Jia, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Hyeon-Cheol Moon, Tae Hyun Jeong, Yoonmo Yang, Jae-Gon Kim, Jinwoo Jeong, Sunjei Kim:
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey. CoRR abs/2404.16484 (2024) - [i13]Yuanbo Zhou, Yuyang Xue, Wei Deng, Xinlin Zhang, Qinquan Gao, Tong Tong:
ASteISR: Adapting Single Image Super-resolution Pre-trained Model for Efficient Stereo Image Super-resolution. CoRR abs/2407.03598 (2024) - [i12]Yuanbo Zhou, Xinlin Zhang, Wei Deng, Tao Wang, Tao Tan, Qinquan Gao, Tong Tong:
DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution. CoRR abs/2408.07516 (2024) - [i11]Tao Wang, Xinlin Zhang, Yuanbin Chen, Yuanbo Zhou, Longxuan Zhao, Tao Tan, Tong Tong:
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation. CoRR abs/2411.04493 (2024) - [i10]Tao Wang, Xinlin Zhang, Yuanbin Chen, Yuanbo Zhou, Longxuan Zhao, Tao Tan, Tong Tong:
ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label Selection. CoRR abs/2411.10237 (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) - [c32]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 - [c31]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 - [c30]Zhiqiang Li, Xiaogen Zhou, Tong Tong:
UG-Net: Unsupervised-Guided Network for Biomedical Image Segmentation and Classification. ICANN (3) 2023: 197-208 - [c29]Xiaogen Zhou, Zhiqiang Li, Tong Tong:
Medical Image Segmentation and Saliency Detection Through a Novel Color Contextual Extractor. ICANN (2) 2023: 457-468 - [c28]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 - [c27]Xiaogen Zhou, Zhiqiang Li, Tong Tong:
RPUC: Semi-supervised 3D Biomedical Image Segmentation Through Rectified Pyramid Unsupervised Consistency. ICONIP (3) 2023: 328-339 - [c26]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 - [c25]Xiaogen Zhou, Zhiqiang Li, Tong Tong:
PPS: Semi-supervised 3D Biomedical Image Segmentation via Pyramid Pseudo-Labeling Supervision. PRCV (13) 2023: 272-283 - [c24]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) - [c23]Xiaogen Zhou, Zhiqiang Li, Tong Tong:
DTSC-Net: Semi-supervised 3D Biomedical Image Segmentation through Dual-Teacher Simplified Consistency. BIBM 2022: 1429-1434 - [c22]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 - [c21]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 - [c20]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) - [c19]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 - [c18]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) - [c17]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
- [c16]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) - [c15]Qinquan Gao, Yan Zhao, Gen Li, Tong Tong:
Image Super-Resolution Using Knowledge Distillation. ACCV (2) 2018: 527-541 - [c14]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) - [c13]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) - [c12]Tong Tong, Qinquan Gao:
Extraction of Features from Patch Based Graphs for the Prediction of Disease Progression in AD. ICIC (2) 2015: 500-509 - [c11]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 - [c10]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 - [c9]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 - [c8]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) - [c7]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 - [c6]Qinquan Gao, Tong Tong, Daniel Rueckert, Eddie Edwards:
Multi-atlas propagation via a manifold graph on a database of both labeled and unlabeled images. Computer-Aided Diagnosis 2014: 90350A - [c5]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. 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) - [c4]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 - [c3]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
- [c2]Zehan Wang, Robin Wolz, Tong Tong, Daniel Rueckert:
Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework. MCV 2012: 93-103 - 2011
- [c1]Yu Qiao, Tong Tong, Nobuaki Minematsu:
A Study on Bag of Gaussian Model with Application to Voice Conversion. INTERSPEECH 2011: 657-660
Coauthor Index
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