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2020 – today
- 2023
[j12]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)- 2022
- [j11]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) - 2021
- [j10]Qinquan Gao, Hanxin Zeng, Gen Li, Tong Tong:
Graph Reasoning-Based Emotion Recognition Network. IEEE Access 9: 6488-6497 (2021) - [j9]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) - [j8]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) - [c15]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
- [j7]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) - [c14]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
- [c13]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 - [i2]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
- [c12]Qinquan Gao, Yan Zhao, Gen Li, Tong Tong:
Image Super-Resolution Using Knowledge Distillation. ACCV (2) 2018: 527-541 - [c11]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 - [i1]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
- [j6]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) - [j5]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) - [c10]Tong Tong, Gen Li, Xiejie Liu, Qinquan Gao:
Image Super-Resolution Using Dense Skip Connections. ICCV 2017: 4809-4817 - 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) - [c9]Tong Tong, Qinquan Gao:
Extraction of Features from Patch Based Graphs for the Prediction of Disease Progression in AD. ICIC (2) 2015: 500-509 - [c8]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 - 2014
- [b1]Qinquan Gao:
Segmentation of pelvic structures from preoperative images for surgical planning and guidance. Imperial College London, UK, 2014 - [j3]Geert Litjens, Robert Toth, Wendy J. M. van de Ven, Caroline Hoeks, Sjoerd Kerkstra, Bram van Ginneken, Graham Vincent, Gwenaël Guillard, Neil Birbeck, Jindang Zhang, Robin Strand, Filip Malmberg, Yangming Ou, Christos Davatzikos, Matthias Kirschner, Florian Jung, Jing Yuan, Wu Qiu, Qinquan Gao, Philip J. Edwards, Bianca Maan, Ferdinand van der Heijden, Soumya Ghose, Jhimli Mitra, Jason Dowling, Dean C. Barratt, Henkjan J. Huisman, Anant Madabhushi:
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. Medical Image Anal. 18(2): 359-373 (2014) - [j2]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. Medical Imaging: 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. Medical Imaging: Image Processing 2014: 903407 - 2013
- [j1]Qinquan Gao, Ping-Lin Chang, Daniel Rueckert, Syed Mohammed Ali, Daniel Cohen, Philip Pratt, Erik Mayer, Guang-Zhong Yang, Ara Darzi, Philip J. Edwards:
Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy. Comput. Medical Imaging Graph. 37(2): 183-194 (2013) - [c4]Qinquan Gao, Syed Mohammed Ali, Philip J. Edwards:
Automated atlas-based pelvimetry using hybrid registration. ISBI 2013: 1292-1295 - [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 - 2011
- [c2]Chao Sun, Qinquan Gao, Xinhui Li, Zhifeng Luo, Xiaolin Liu:
BP Neural Network Algorithm for Multi-sensor Trajectory Separation Based on Maximum Membership Degree. ICAIC (2) 2011: 487-495
2000 – 2009
- 2009
- [c1]Shunxiang Wu, Lihua Lin, Qinquan Gao:
A new grey-rough set model based on interval-valued grey sets. SMC 2009: 1176-1182
Coauthor Index
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