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ORCIDJun Cheng 0003
Person information
- affiliation: Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences, Zhejiang, China
- affiliation (former): Agency for Science, Technology and Research (A*STAR), Institute for Infocomm Research, Singapore
- affiliation (PhD 2007): Nanyang Technological University, Singapore
Other persons with the same name
- Jun Cheng — disambiguation page
- Jun Cheng 0001
![[0000-0002-7771-2132]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7771-2132")
— Doshisha University, Department of Intelligent Information Engineering and Sciences, Kyoto, Japan (and 4 more) - Jun Cheng 0002 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Guangdong Provincial Key Laboratory of Robotics and Intelligent System, China (and 1 more)
- Jun Cheng 0004 — Guangxi Normal University, College of Mathematics and Statistics, Guilin, China (and 4 more)
- Jun Cheng 0005 (aka: Jun Chen 0022) — Southeast University, Jiangning Development Zone, School of Transportation, Nanjing, China
- Jun Cheng 0006 — Shenzhen University, School of Biomedical Engineering, Health Science Center, Medical Ultrasound Image Computing Laboratory, MUSIC, China
- Jun Cheng 0007 — NEC Laboratories Europe GmbH, Heidelberg, Germany (and 1 more)
- Jun Cheng 0008 — Guangdong Polytechnic Normal University, School of Electronic and Information, Guangzhou, China
- Jun Cheng 0009 — Huazhong University of Science and Technology, Wuhan, China
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2020 – today
- 2025
[j45]Weide Liu, Jieming Lou, Xingxing Wang, Wei Zhou, Jun Cheng, Xulei Yang:
Physically-guided open vocabulary segmentation with weighted patched alignment loss. Neurocomputing 614: 128788 (2025)- [j44]Yang Yu, Jiahao Wang, Weide Liu, Ivan Ho Mien, Pavitra Krishnaswamy, Xulei Yang, Jun Cheng:
Multimodal multitask similarity learning for vision language model on radiological images and reports. Neurocomputing 636: 130018 (2025) - [j43]Weide Liu, Jingwen Hou, Xiaoyang Zhong, Huijing Zhan, Jun Cheng, Yuming Fang, Guanghui Yue:
Improving multi-modal brain tumor segmentation via pre-training and knowledge distillation based post-training. Neurocomputing 640: 130318 (2025) - [j42]Han Yue, Jun Cheng, Yu-Xuan Ren, Chien-Chun Chen, Grant A. van Riessen, Philip Heng Wai Leong, Feng Shu:
A Physics-Inspired Deep Learning Framework With Polar Coordinate Attention for Ptychographic Imaging. IEEE Trans. Computational Imaging 11: 888-900 (2025) - [j41]Yepeng Liu, Zhichao Sun, Baosheng Yu, Yitian Zhao, Bo Du, Yongchao Xu, Jun Cheng:
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching. IEEE Trans. Image Process. 34: 3593-3608 (2025) - [j40]Yi Zhou, Thiara Sana Ahmed, Meng Wang, Eric A. Newman, Leopold Schmetterer, Huazhu Fu, Jun Cheng, Bingyao Tan:
Masked Vascular Structure Segmentation and Completion in Retinal Images. IEEE Trans. Medical Imaging 44(6): 2492-2503 (2025) - [c90]Lu Wang, Liuchi Xu, Xiong Yang, Zhenhua Huang, Jun Cheng:
Debiased Distillation for Consistency Regularization. AAAI 2025: 7799-7807 - [c89]Rui Gong, Kim-Hui Yap, Weide Liu, Xulei Yang, Jun Cheng:
Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification. CVPR 2025: 22348-22358 - [c88]Lile Cai, Chuan-Sheng Foo, Xun Xu, Zaiwang Gu, Jun Cheng, Xulei Yang:
Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching. ICLR 2025 - [c87]Yepeng Liu, Wenpeng Lai, Zhou Zhao, Yuxuan Xiong, Jinchi Zhu, Jun Cheng, Yongchao Xu:
LiftFeat: 3D Geometry-Aware Local Feature Matching. ICRA 2025: 11714-11720 - [c86]Yige Yan, Jun Cheng, Xulei Yang, Shuang Leng, Ru-San Tan, Liang Zhong, Jagath C. Rajapakse:
Dual Correlation-Aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance. MICCAI (1) 2025: 174-184 - [c85]Bingyu Yang, Bingyao Tan, Zaiwang Gu, Leopold Schmetterer, Huiqi Li, Jun Cheng:
Improving OCTA Imaging Through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data. MICCAI (7) 2025: 282-292 - [c84]Jingbo Zeng, Bingyao Tan, Zaiwang Gu, Shenghua Gao, Leopold Schmetterer, Jun Cheng:
Intra- and Cross-View Enhancement for OCTA Imaging. MICCAI (13) 2025: 307-317 - [c83]Yang Yu, Christopher Kok, Jiahao Wang, Jun Cheng, Shuang Leng, Ru-San Tan, Liang Zhong, Xulei Yang:
Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance. MICCAI (16) 2025: 533-543 - [c82]Qinkai Yu, Jianyang Xie, Yitian Zhao, Cheng Chen, Lijun Zhang, Liming Chen, Jun Cheng, Lu Liu, Yalin Zheng, Yanda Meng:
Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport. MICCAI (15) 2025: 553-563 - [c81]Jingbo Zeng, Zaiwang Gu, Weide Liu, Lile Cai, Jun Cheng:
Uncertainty Aware Interest Point Detection and Description. WACV 2025: 2144-2153 - [i27]Yepeng Liu, Zhichao Sun, Baosheng Yu, Yitian Zhao, Bo Du, Yongchao Xu, Jun Cheng:
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching. CoRR abs/2501.11299 (2025) - [i26]Yepeng Liu, Wenpeng Lai, Zhou Zhao, Yuxuan Xiong, Jinchi Zhu, Jun Cheng, Yongchao Xu:
LiftFeat: 3D Geometry-Aware Local Feature Matching. CoRR abs/2505.03422 (2025) - [i25]Qinkai Yu, Jianyang Xie, Yitian Zhao, Cheng Chen, Lijun Zhang, Liming Chen, Jun Cheng, Lu Liu, Yalin Zheng, Yanda Meng:
Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport. CoRR abs/2507.04999 (2025) - [i24]Lechun You, Zhonghua Wu, Weide Liu, Xulei Yang, Jun Cheng, Wei Zhou, Bharadwaj Veeravalli, Guosheng Lin:
Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation. CoRR abs/2508.19909 (2025) - 2024
- [j39]Yuhang Gong, Jing Zhang, Jun Cheng, Wei Yuan, Ling He:
Automatic tooth segmentation for patients with alveolar clefts guided by tooth descriptors. Biomed. Signal Process. Control. 90: 105821 (2024) - [j38]Qifeng Yan, Yuhui Ma, Wenjun Wu, Lei Mou, Wei Huang, Jun Cheng, Yitian Zhao:
Choroidal Layer Analysis in OCT images via Ambiguous Boundary-aware Attention. Comput. Biol. Medicine 175: 108386 (2024) - [j37]Wei Yuan, Jun Cheng, Yuhang Gong, Ling He, Jing Zhang:
MACG-Net: Multi-axis cross gating network for deformable medical image registration. Comput. Biol. Medicine 178: 108673 (2024) - [j36]Weide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng, Guosheng Lin:
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation. Int. J. Comput. Vis. 132(4): 1277-1291 (2024) - [j35]Tianyang Zhang, Shaoming Zheng, Jun Cheng, Xi Jia, Joseph Bartlett, Xinxing Cheng, Zhaowen Qiu, Huazhu Fu, Jiang Liu, Ales Leonardis, Jinming Duan:
Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10060-10075 (2024) - [j34]Chao Cai, Yuming Fang, Weide Liu, Ruibing Jin, Jun Cheng, Zhenghua Chen:
FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction With Continuous-to-Discrete Conversion. IEEE Trans. Ind. Informatics 20(11): 12565-12574 (2024) - [j33]Yimin Luo, Qinyu Yang, Ziyi Liu, Zenglin Shi, Weimin Huang, Guoyan Zheng, Jun Cheng:
Target-Guided Diffusion Models for Unpaired Cross-Modality Medical Image Translation. IEEE J. Biomed. Health Informatics 28(7): 4062-4071 (2024) - [j32]Jiayuan Fan, Haixiang Chen, Weide Liu, Xun Xu, Jun Cheng:
Holistic and Contextual Evidential Stereo-LiDAR Fusion for Depth Estimation. IEEE Trans. Intell. Veh. 9(11): 7437-7448 (2024) - [j31]Zaiwang Gu, Weide Liu, Xulei Yang, Chuan-Sheng Foo, Jun Cheng:
When low-vision task meets dense prediction tasks with less data: an auxiliary self-trained geometry regularization. Trans. Mach. Learn. Res. 2024 (2024) - [c80]Yu Wang, Xiaoye Wang, Zaiwang Gu, Weide Liu, Wee Siong Ng, Weimin Huang, Jun Cheng:
SuperJunction: Learning-Based Junction Detection for Retinal Image Registration. AAAI 2024: 292-300 - [c79]Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng:
Progressive Retinal Image Registration via Global and Local Deformable Transformations. BIBM 2024: 2183-2190 - [c78]Rui Gong, Weide Liu, Zaiwang Gu, Xulei Yang, Jun Cheng:
Learning Intra-View and Cross-View Geometric Knowledge for Stereo Matching. CVPR 2024: 20752-20762 - [c77]Ziyuan Zhao, Renjun Cai, Kaixin Xu, Zhengji Liu, Xulei Yang, Jun Cheng, Cuntai Guan:
Multi-dataset Collaborative Learning for Liver Tumor Segmentation. EMBC 2024: 1-4 - [c76]Huizhou Chen, Jiangyi Wang, Yuxin Li, Na Zhao, Jun Cheng, Xulei Yang:
Improving 3D Occupancy Prediction through Class-Balancing Loss and Multi-Scale Representation. CAI 2024: 699-703 - [c75]Yige Yan, Jun Cheng, Xulei Yang, Zaiwang Gu, Shuang Leng, Ru-San Tan, Liang Zhong, Jagath C. Rajapakse:
Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from Non-contrast Cardiac Magnetic Resonance. MICCAI (1) 2024: 231-241 - [c74]Jiangyi Wang, Zhongyao Cheng, Na Zhao, Jun Cheng, Xulei Yang:
On-the-fly Point Feature Representation for Point Clouds Analysis. ACM Multimedia 2024: 9204-9213 - [i23]Rui Gong, Weide Liu, Zaiwang Gu, Xulei Yang, Jun Cheng:
Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching. CoRR abs/2402.19270 (2024) - [i22]Huizhou Chen, Jiangyi Wang, Yuxin Li, Na Zhao, Jun Cheng, Xulei Yang:
Improving 3D Occupancy Prediction through Class-balancing Loss and Multi-scale Representation. CoRR abs/2405.16099 (2024) - [i21]Weide Liu, Jingwen Hou, Xiaoyang Zhong, Huijing Zhan, Jun Cheng, Yuming Fang, Guanghui Yue:
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency. CoRR abs/2406.10175 (2024) - [i20]Jiangyi Wang, Zhongyao Cheng, Na Zhao, Jun Cheng, Xulei Yang:
On-the-fly Point Feature Representation for Point Clouds Analysis. CoRR abs/2407.21335 (2024) - [i19]Weide Liu, Xingxing Wang, Lu Wang, Jun Cheng, Fayao Liu, Xulei Yang:
Gaussian Mixture based Evidential Learning for Stereo Matching. CoRR abs/2408.02796 (2024) - [i18]Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng:
Progressive Retinal Image Registration via Global and Local Deformable Transformations. CoRR abs/2409.01068 (2024) - [i17]Han Yue, Jun Cheng, Yu-Xuan Ren, Philip Heng Wai Leong, Steve Feng Shu:
Ptychoformer: A Physics-Guided Deep Learning Framework for Ptychographic Imaging. CoRR abs/2412.06806 (2024) - 2023
- [j30]Xiyue Wang, Yuqi Fang, Sen Yang, Delong Zhu, Minghui Wang, Jing Zhang, Jun Zhang, Jun Cheng, Kai-Yu Tong, Xiao Han:
CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images. Neurocomputing 527: 100-109 (2023) - [j29]Qifeng Yan, Mengdi Xu, Damon Wing Kee Wong, Akira Taruya, Atsushi Tanaka, Jiang Liu, Philip Wong, Jun Cheng:
Automatic fibroatheroma identification in intravascular optical coherence tomography volumes. J. Ambient Intell. Humaniz. Comput. 14(11): 15477-15483 (2023) - [j28]Guanghui Yue, Di Cheng, Tianwei Zhou, Jingwen Hou, Weide Liu, Long Xu, Tianfu Wang, Jun Cheng:
Perceptual Quality Assessment of Enhanced Colonoscopy Images: A Benchmark Dataset and an Objective Method. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5549-5561 (2023) - [j27]Shengcong Chen, Changxing Ding, Minfeng Liu, Jun Cheng, Dacheng Tao:
CPP-Net: Context-Aware Polygon Proposal Network for Nucleus Segmentation. IEEE Trans. Image Process. 32: 980-994 (2023) - [c73]Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng:
ELFNet: Evidential Local-global Fusion for Stereo Matching. ICCV 2023: 17738-17747 - [i16]Weide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng, Guosheng Lin:
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation. CoRR abs/2303.13724 (2023) - [i15]Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng:
ELFNet: Evidential Local-global Fusion for Stereo Matching. CoRR abs/2308.00728 (2023) - 2022
- [j26]Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao:
Proxy-Bridged Image Reconstruction Network for Anomaly Detection in Medical Images. IEEE Trans. Medical Imaging 41(3): 582-594 (2022) - [j25]Kang Zhou, Jing Li, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao:
Memorizing Structure-Texture Correspondence for Image Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2335-2349 (2022) - [c72]Peter Ho Hin Yuen, Xiaohong Wang, Zhiping Lin, Nikki Ka Wai Chow, Jun Cheng, Cher Heng Tan, Weimin Huang:
CT2CXR: CT-based CXR Synthesis for Covid-19 Pneumonia Classification. MLMI@MICCAI 2022: 210-219 - 2021
- [j24]Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng, Pan Su, Jianlong Yang, Li Chen, Alejandro F. Frangi, Masahiro Akiba, Jiang Liu:
CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging. Medical Image Anal. 67: 101874 (2021) - [j23]Yuhui Ma, Jiang Liu, Yonghuai Liu, Huazhu Fu, Yan Hu, Jun Cheng, Hong Qi, Yufei Wu, Jiong Zhang, Yitian Zhao:
Structure and Illumination Constrained GAN for Medical Image Enhancement. IEEE Trans. Medical Imaging 40(12): 3955-3967 (2021) - [c71]Yepeng Liu, Zaiwang Gu, Shenghua Gao, Dong Wang, Yusheng Zeng, Jun Cheng:
MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation. BMVC 2021: 266 - [i14]Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao:
Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images. CoRR abs/2110.01761 (2021) - [i13]Yepeng Liu, Zaiwang Gu, Shenghua Gao, Dong Wang, Yusheng Zeng, Jun Cheng:
MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation. CoRR abs/2110.10953 (2021) - 2020
- [j22]Qifeng Yan, Bang Chen, Yan Hu, Jun Cheng, Yan Gong, Jianlong Yang, Jiang Liu, Yitian Zhao:
Speckle reduction of OCT via super resolution reconstruction and its application on retinal layer segmentation. Artif. Intell. Medicine 106: 101871 (2020) - [j21]Jiangting Liu, Bing Wang, Yingying Zhang, Jun Cheng, Fang Fang, Zhenyang Li:
Glove-type massage feature acquisition by human organ simulators: Feasibility and comparison. Signal Process. Image Commun. 84: 115815 (2020) - [j20]Yuming Jiang, Lixin Duan, Jun Cheng, Zaiwang Gu, Hu Xia, Huazhu Fu, Changsheng Li, Jiang Liu:
JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation. IEEE Trans. Biomed. Eng. 67(2): 335-343 (2020) - [j19]Jun Cheng, Huazhu Fu, Delia Cabrera DeBuc, Jie Tian:
Guest Editorial Ophthalmic Image Analysis and Informatics. IEEE J. Biomed. Health Informatics 24(12): 3335-3337 (2020) - [j18]Tianyang Zhang, Jun Cheng, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Rui Zheng, Jiang Liu:
Noise Adaptation Generative Adversarial Network for Medical Image Analysis. IEEE Trans. Medical Imaging 39(4): 1149-1159 (2020) - [j17]Lei Mou, Li Chen, Jun Cheng, Zaiwang Gu, Yitian Zhao, Jiang Liu:
Dense Dilated Network With Probability Regularized Walk for Vessel Detection. IEEE Trans. Medical Imaging 39(5): 1392-1403 (2020) - [j16]Tianyang Miller, Jun Cheng, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Ru Zheng, Jiang Liu:
Correction to "Noise Adaptation Generative Adversarial Network for Medical Image Analysis". IEEE Trans. Medical Imaging 39(7): 2566-2567 (2020) - [c70]Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao:
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. ECCV (20) 2020: 360-377 - [c69]Ee Ping Ong, Jun Cheng, Damon Wing Kee Wong, Elton L. T. Tay, Hwei Yee Teo, Rosalyn Grace Loo, Leonard W. L. Yip:
Automatic Glaucoma Detection from Stereo Fundus Images. EMBC 2020: 1540-1543 - [c68]Xiaoqian Mao, Yitian Zhao, Bang Chen, Yuhui Ma, Zaiwang Gu, Shenshen Gu, Jianlong Yang, Jun Cheng, Jiang Liu:
Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT Images. EMBC 2020: 1641-1645 - [c67]Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu:
Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. ISBI 2020: 1227-1231 - [c66]Zhi Tu, Shenghua Gao, Kang Zhou, Xianing Chen, Huazhu Fu, Zaiwang Gu, Jun Cheng, Zehao Yu, Jiang Liu:
SUNet: A Lesion Regularized Model for Simultaneous Diabetic Retinopathy and Diabetic Macular Edema Grading. ISBI 2020: 1378-1382 - [c65]Yan Hu, Jianlong Yang, Jun Cheng, Jiang Liu:
Noise Redistribution and 3D Shearlet Filtering for Speckle Reduction in Optical Coherence Tomography. ISBI 2020: 1565-1569 - [c64]Yuting Xiao, Shenghua Gao, Zhenjie Chai, Kang Zhou, Tianyang Zhang, Yitian Zhao, Jun Cheng, Jiang Liu:
Open-Set OCT Image Recognition with Synthetic Learning. ISBI 2020: 1788-1792 - [c63]Yuhui Ma, Yonghuai Liu, Jun Cheng, Yalin Zheng, Morteza Ghahremani, Honghan Chen, Jiang Liu, Yitian Zhao:
Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement. MICCAI (2) 2020: 667-677 - [c62]Jin Zhang, Bo Wei, Jun Cheng:
HARaaS: HAR as a service using wifi signal in IoT-enabled edge computing: poster abstract. SenSys 2020: 681-682 - [i12]Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao:
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. CoRR abs/2008.03632 (2020) - [i11]Lei Mou, Yitian Zhao, Huazhu Fu, Yonghuai Liu, Jun Cheng, Yalin Zheng, Pan Su, Jianlong Yang, Li Chen, Alejandro F. Frangi, Masahiro Akiba, Jiang Liu:
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging. CoRR abs/2010.07486 (2020)
2010 – 2019
- 2019
- [j15]Xiao-jian Yi, Jian Shi, Jun Cheng:
Reliability technology using GO methodology: A review. Qual. Reliab. Eng. Int. 35(8): 2513-2539 (2019) - [j14]Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu:
CE-Net: Context Encoder Network for 2D Medical Image Segmentation. IEEE Trans. Medical Imaging 38(10): 2281-2292 (2019) - [c61]Jianyang Xie, Yitian Zhao, Yonghuai Liu, Pan Su, Yifan Zhao, Jun Cheng, Yalin Zheng, Jiang Liu:
Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering. CVPR 2019: 8505-8513 - [c60]Rui Zhao, Yitian Zhao, Zhili Chen, Yifan Zhao, Jianlong Yang, Yan Hu, Jun Cheng, Jiang Liu:
Speckle Reduction in Optical Coherence Tomography via Super-Resolution Reconstruction. EMBC 2019: 5589-5592 - [c59]Jimmy Addison Lee, Peng Liu, Jun Cheng, Huazhu Fu:
A Deep Step Pattern Representation for Multimodal Retinal Image Registration. ICCV 2019: 5076-5085 - [c58]Jun Cheng, Yitian Zhao, Yan Hu, Jiang Liu:
Pixel Reconstruction For Speckle Reduction In 3D Optical Coherence Tomography Of Retina. ISBI 2019: 1424-1427 - [c57]Hao Qiu, Zaiwang Gu, Lei Mou, Xiaoqian Mao, Liyang Fang, Yitian Zhao, Jiang Liu, Jun Cheng:
The Channel Attention Based Context Encoder Network for Inner Limiting Membrane Detection. OMIA@MICCAI 2019: 104-111 - [c56]Bing Yang, Yi Zhang, Jun Cheng, Jin Zhang, Lei Mou, Huaying Hao, Yitian Zhao, Jiang Liu:
Network Pruning for OCT Image Classification. OMIA@MICCAI 2019: 121-129 - [c55]Hengrong Lan, Kang Zhou, Changchun Yang, Jun Cheng, Jiang Liu, Shenghua Gao, Fei Gao:
Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction In Vivo. MICCAI (1) 2019: 273-281 - [c54]Lei Mou, Yitian Zhao, Li Chen, Jun Cheng, Zaiwang Gu, Huaying Hao, Hong Qi, Yalin Zheng, Alejandro F. Frangi, Jiang Liu:
CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation. MICCAI (1) 2019: 721-730 - [c53]Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu:
SkrGAN: Sketching-Rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis. MICCAI (4) 2019: 777-785 - [p1]Huazhu Fu, Jun Cheng, Yanwu Xu, Jiang Liu:
Glaucoma Detection Based on Deep Learning Network in Fundus Image. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 119-137 - [i10]Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu:
CE-Net: Context Encoder Network for 2D Medical Image Segmentation. CoRR abs/1903.02740 (2019) - [i9]Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu:
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis. CoRR abs/1908.04346 (2019) - [i8]Hao Qiu, Zaiwang Gu, Lei Mou, Xiaoqian Mao, Liyang Fang, Yitian Zhao, Jiang Liu, Jun Cheng:
The Channel Attention based Context Encoder Network for Inner Limiting Membrane Detection. CoRR abs/1908.04413 (2019) - [i7]Lei Mou, Li Chen, Jun Cheng, Zaiwang Gu, Yitian Zhao, Jiang Liu:
Dense Dilated Network with Probability Regularized Walk for Vessel Detection. CoRR abs/1910.12010 (2019) - [i6]Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu:
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. CoRR abs/1911.12527 (2019) - [i5]Huihong Zhang, Jianlong Yang, Kang Zhou, Zhenjie Chai, Jun Cheng, Shenghua Gao, Jiang Liu:
BioNet: Infusing Biomarker Prior into Global-to-Local Network for Choroid Segmentation in Optical Coherence Tomography Images. CoRR abs/1912.05090 (2019) - 2018
- [j13]Annan Li, Zhiheng Niu, Jun Cheng, Fengshou Yin, Damon Wing Kee Wong, Shuicheng Yan, Jiang Liu:
Learning supervised descent directions for optic disc segmentation. Neurocomputing 275: 350-357 (2018) - [j12]Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation. IEEE Trans. Medical Imaging 37(7): 1597-1605 (2018) - [j11]Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image. IEEE Trans. Medical Imaging 37(11): 2493-2501 (2018) - [j10]Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu, Damon Wing Kee Wong, Jiang Liu:
Structure-Preserving Guided Retinal Image Filtering and Its Application for Optic Disk Analysis. IEEE Trans. Medical Imaging 37(11): 2536-2546 (2018) - [j9]Jun Cheng:
Sparse Range-Constrained Learning and Its Application for Medical Image Grading. IEEE Trans. Medical Imaging 37(12): 2729-2738 (2018) - [c52]Yuming Jiang, Hu Xia, Yanwu Xu, Jun Cheng, Huazhu Fu, Lixin Duan, Zhigang Meng, Jiang Liu:
Optic Disc and Cup Segmentation with Blood Vessel Removal from Fundus Images for Glaucoma Detection. EMBC 2018: 862-865 - [c51]Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu:
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading. EMBC 2018: 2724-2727 - [c50]Annan Li, Yunhong Wang, Jun Cheng, Jiang Liu:
Combining Multiple Deep Features for Glaucoma Classification. ICASSP 2018: 985-989 - [c49]Jun Cheng, Xiao-jian Yi, Long Xu, Wei Wang, Yihua Yan:
Reliability Analysis of Modular System in MUSER Based on Goal Oriented Methodology: Case Study on LOFARARTS. ICPHM 2018: 1-8 - [c48]Yitian Zhao, Jianyang Xie, Pan Su, Yalin Zheng, Yonghuai Liu, Jun Cheng, Jiang Liu:
Retinal Artery and Vein Classification via Dominant Sets Clustering-Based Vascular Topology Estimation. MICCAI (2) 2018: 56-64 - [c47]Kang Zhou, Zaiwang Gu, Annan Li, Jun Cheng, Shenghua Gao, Jiang Liu:
Fundus Image Quality-Guided Diabetic Retinopathy Grading. COMPAY/OMIA@MICCAI 2018: 245-252 - [c46]Zaiwang Gu, Peng Liu, Kang Zhou, Yuming Jiang, Haoyu Mao, Jun Cheng, Jiang Liu:
DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling. COMPAY/OMIA@MICCAI 2018: 253-260 - [c45]Peng Liu, Zaiwang Gu, Fan Liu, Yuming Jiang, Shanshan Jiang, Haoyu Mao, Jun Cheng, Lixin Duan, Jiang Liu:
Large-Scale Left and Right Eye Classification in Retinal Images. COMPAY/OMIA@MICCAI 2018: 261-268 - [c44]Ee Ping Ong, Jun Cheng, Damon Wing Kee Wong, Hwei Yee Teo, Leonard W. L. Yip:
A Robust Outliers' Elimination Scheme for Multimodal Retina Image Registration Using Constrained Affine Transformation. TENCON 2018: 425-429 - [i4]Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation. CoRR abs/1801.00926 (2018) - [i3]Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu, Damon Wing Kee Wong, Jiang Liu:
Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis. CoRR abs/1805.06625 (2018) - [i2]Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image. CoRR abs/1805.07549 (2018) - [i1]Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu:
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang. CoRR abs/1808.10564 (2018) - 2017
- [c43]Jimmy Addison Lee, Mengdi Xu, Jun Cheng, Huazhu Fu, Damon Wing Kee Wong, Nicolas Foin:
Extract-and-match geometric corner and step pattern approach for registration of fluoroscopic X-ray sequences. EMBC 2017: 568-571 - [c42]Ee Ping Ong, Jun Cheng, Damon Wing Kee Wong, Jiang Liu, Elton L. T. Tay, Leonard W. L. Yip:
Glaucoma classification from retina optical coherence tomography angiogram. EMBC 2017: 596-599 - [c41]Fengli Yu, Jing Sun, Annan Li, Jun Cheng, Cheng Wan, Jiang Liu:
Image quality classification for DR screening using deep learning. EMBC 2017: 664-667 - [c40]Mengdi Xu, Jun Cheng, Annan Li, Jimmy Addison Lee, Damon Wing Kee Wong, Akira Taruya, Atsushi Tanaka, Nicolas Foin, Philip Wong:
Fibroatheroma identification in Intravascular Optical Coherence Tomography images using deep features. EMBC 2017: 1501-1504 - [c39]Jun Cheng, Long Xu, Zhicong Lu, Dong Zhao, Linjie Chen, Yihua Yan:
Application of wavelet clean for Mingantu Spectral Radioheliograph imaging. ISPACS 2017: 81-86 - [c38]Dong Zhao, Long Xu, Linjie Chen, Jun Cheng, Li Zhang, Yihua Yan:
Multi-scale clean deconvolution for solar radio imaging with Mingantu Ultrawide Spectral Radioheliograph (MUSER). ISPACS 2017: 87-92 - [c37]Jing Sun, Cheng Wan, Jun Cheng, Fengli Yu, Jiang Liu:
Retinal Image Quality Classification Using Fine-Tuned CNN. FIFI/OMIA@MICCAI 2017: 126-133 - [c36]Peiyuan Xu, Cheng Wan, Jun Cheng, Di Niu, Jiang Liu:
Optic Disc Detection via Deep Learning in Fundus Images. FIFI/OMIA@MICCAI 2017: 134-141 - [c35]Jun Cheng, Long Xu, Xuexin Yu, Linjie Chen, Wei Wang, Yihua Yan:
Auto-flag the baseline for Mingantu Ultrawide Spectral Radioheliograph with LSTM. VCIP 2017: 1-4 - 2016
- [j8]Jun Cheng, Dacheng Tao, Ying Quan, Damon Wing Kee Wong, Chui Ming Gemmy Cheung, Masahiro Akiba, Jiang Liu:
Speckle Reduction in 3D Optical Coherence Tomography of Retina by A-Scan Reconstruction. IEEE Trans. Medical Imaging 35(10): 2270-2279 (2016) - [c34]Annan Li, Jun Cheng, Damon Wing Kee Wong, Jiang Liu:
Integrating holistic and local deep features for glaucoma classification. EMBC 2016: 1328-1331 - [c33]Annan Li, Jun Cheng, Ai Ping Yow, Ruchir Srivastava, Damon Wing Kee Wong, Hong Liang Tey, Jiang Liu:
Automated basal cell carcinoma detection in high-definition optical coherence tomography. EMBC 2016: 2885-2888 - [c32]Ai Ping Yow, Jun Cheng, Annan Li, Ruchir Srivastava, Jiang Liu, Damon Wing Kee Wong, Hong Liang Tey:
Automated in vivo 3D high-definition optical coherence tomography skin analysis system. EMBC 2016: 3895-3898 - 2015
- [j7]Jun Cheng, Fengshou Yin, Damon Wing Kee Wong, Dacheng Tao, Jiang Liu:
Sparse Dissimilarity-Constrained Coding for Glaucoma Screening. IEEE Trans. Biomed. Eng. 62(5): 1395-1403 (2015) - [c31]Mengdi Xu, Jun Cheng, Damon Wing Kee Wong, Jiang Liu, Akira Taruya, Atsushi Tanaka:
Graph based lumen segmentation in optical coherence tomography images. ICICS 2015: 1-5 - [c30]Ai Ping Yow, Jun Cheng, Annan Li, Carolin Wall, Damon Wing Kee Wong, Jiang Liu, Hong Liang Tey:
Skin surface topographic assessment using in vivo high-definition optical coherence tomography. ICICS 2015: 1-4 - [c29]Jimmy Addison Lee, Jun Cheng, Beng Hai Lee, Ee Ping Ong, Guozhen Xu, Damon Wing Kee Wong, Jiang Liu, Augustinus Laude, Tock Han Lim:
A low-dimensional step pattern analysis algorithm with application to multimodal retinal image registration. CVPR 2015: 1046-1053 - [c28]Fengshou Yin, Damon Wing Kee Wong, Ying Quan, Ai Ping Yow, Ngan Meng Tan, Kavitha Gopalakrishnan, Beng Hai Lee, Yanwu Xu, Zhuo Zhang, Jun Cheng, Jiang Liu:
A cloud-based system for automatic glaucoma screening. EMBC 2015: 1596-1599 - [c27]Annan Li, Jun Cheng, Ai Ping Yow, Carolin Wall, Damon Wing Kee Wong, Hong Liang Tey, Jiang Liu:
Epidermal segmentation in high-definition optical coherence tomography. EMBC 2015: 3045-3048 - [c26]Ee Ping Ong, Jimmy Addison Lee, Jun Cheng, Beng Hai Lee, Guozhen Xu, Augustinus Laude, Stephen Teoh, Tock Han Lim, Damon Wing Kee Wong, Jiang Liu:
An augmented reality assistance platform for eye laser surgery. EMBC 2015: 4326-4329 - [c25]Ruchir Srivastava, Jun Cheng, Damon Wing Kee Wong, Jiang Liu:
Using deep learning for robustness to parapapillary atrophy in optic disc segmentation. ISBI 2015: 768-771 - [c24]Jimmy Addison Lee, Jun Cheng, Guozhen Xu, Ee Ping Ong, Beng Hai Lee, Damon Wing Kee Wong, Jiang Liu:
Registration of Color and OCT Fundus Images Using Low-dimensional Step Pattern Analysis. MICCAI (2) 2015: 214-221 - [c23]Ee Ping Ong, Jimmy Addison Lee, Jun Cheng, Guozhen Xu, Beng Hai Lee, Augustinus Laude, Stephen Teoh, Tock Han Lim, Damon Wing Kee Wong, Jiang Liu:
A Robust Outlier Elimination Approach for Multimodal Retina Image Registration. MICCAI (2) 2015: 329-337 - 2014
- [c22]Mengdi Xu, Jun Cheng, Damon Wing Kee Wong, Akira Taruya, Atsushi Tanaka, Jiang Liu:
Automatic atherosclerotic heart disease detection in intracoronary optical coherence tomography images. EMBC 2014: 174-177 - [c21]Jun Cheng, Lixin Duan, Damon Wing Kee Wong, Masahiro Akiba, Jiang Liu:
Speckle reduction in optical coherence tomography by matrix completion using bilateral random projection. EMBC 2014: 186-189 - [c20]Jun Cheng, Lixin Duan, Damon Wing Kee Wong, Dacheng Tao, Masahiro Akiba, Jiang Liu:
Speckle Reduction in Optical Coherence Tomography by Image Registration and Matrix Completion. MICCAI (1) 2014: 162-169 - 2013
- [j6]Jiang Liu, Zhuo Zhang, Damon Wing Kee Wong, Yanwu Xu, Fengshou Yin, Jun Cheng, Ngan Meng Tan, Chee Keong Kwoh, Dong Xu, Yih Chung Tham, Tin Aung, Tien Yin Wong:
Research and applications: Automatic glaucoma diagnosis through medical imaging informatics. J. Am. Medical Informatics Assoc. 20(6): 1021-1027 (2013) - [j5]Jun Cheng, Jiang Liu, Yanwu Xu, Fengshou Yin, Damon Wing Kee Wong, Ngan Meng Tan, Dacheng Tao, Ching Yu Cheng, Tin Aung, Tien Yin Wong:
Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening. IEEE Trans. Medical Imaging 32(6): 1019-1032 (2013) - [c19]Jun Cheng, Jiang Liu, Fengshou Yin, Beng Hai Lee, Damon Wing Kee Wong, Tin Aung, Ching Yu Cheng, Tien Yin Wong:
Self-assessment for optic disc segmentation. EMBC 2013: 5861-5864 - [c18]Yanwu Xu, Jiang Liu, Jun Cheng, Beng Hai Lee, Damon Wing Kee Wong, Mani Baskaran, Shamira A. Perera, Tin Aung:
Automated anterior chamber angle localization and glaucoma type classification in OCT images. EMBC 2013: 7380-7383 - [c17]Jun Cheng, Jiang Liu, Dacheng Tao, Fengshou Yin, Damon Wing Kee Wong, Yanwu Xu, Tien Yin Wong:
Superpixel Classification Based Optic Cup Segmentation. MICCAI (3) 2013: 421-428 - 2012
- [j4]Melissa H. Y. Wong, Annabel Chew, Hla M. Htoon, Beng Hai Lee, Jun Cheng, Jiang Liu, Donald T. Tan, Jodhbir S. Mehta:
Reproducibility of Corneal Graft Thickness measurements with COLGATE in patients who have undergone DSAEK (Descemet Stripping Automated Endothelial Keratoplasty). BMC Medical Imaging 12: 25 (2012) - [j3]Jun Cheng, Dacheng Tao, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Tien Yin Wong, Seang Mei Saw:
Peripapillary Atrophy Detection by Sparse Biologically Inspired Feature Manifold. IEEE Trans. Medical Imaging 31(12): 2355-2365 (2012) - [c16]Jun Cheng, Jiang Liu, Yanwu Xu, Fengshou Yin, Damon Wing Kee Wong, Ngan Meng Tan, Ching Yu Cheng, Yih Chung Tham, Tien Yin Wong:
Superpixel Classification Based Optic Disc Segmentation. ACCV (2) 2012: 293-304 - [c15]Yanwu Xu, Jiang Liu, Jun Cheng, Fengshou Yin, Ngan Meng Tan, Damon Wing Kee Wong, Mani Baskaran, Ching Yu Cheng, Tien Yin Wong:
Efficient optic cup localization using regional propagation based on retinal structure priors. EMBC 2012: 1430-1433 - [c14]Jun Cheng, Jiang Liu, Yanwu Xu, Fengshou Yin, Damon Wing Kee Wong, Beng Hai Lee, Carol Yim-lui Cheung, Tin Aung, Tien Yin Wong:
Superpixel classification for initialization in model based optic disc segmentation. EMBC 2012: 1450-1453 - [c13]Fengshou Yin, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Jun Cheng, Ching Yu Cheng, Yih Chung Tham, Tien Yin Wong:
Sector-based optic cup segmentation with intensity and blood vessel priors. EMBC 2012: 1454-1457 - [c12]Jun Cheng, Damon Wing Kee Wong, Xiangang Cheng, Jiang Liu, Ngan Meng Tan, Mayuri Bhargava, Chui Ming Gemmy Cheung, Tien Yin Wong:
Early age-related macular degeneration detection by focal biologically inspired feature. ICIP 2012: 2805-2808 - [c11]Yanwu Xu, Jiang Liu, Jun Cheng, Fengshou Yin, Ngan Meng Tan, Damon Wing Kee Wong, Ching Yu Cheng, Yih Chung Tham, Tien Yin Wong:
Efficient optic cup localization based on superpixel classification for glaucoma diagnosis in digital fundus images. ICPR 2012: 49-52 - [c10]Jun Cheng, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Carol Yim-lui Cheung, Mani Baskaran, Tien Yin Wong, Seang Mei Saw:
Peripapillary atrophy detection by biologically inspired feature. ICPR 2012: 53-56 - 2011
- [c9]Jun Cheng, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Beng Hai Lee, Carol Yim-lui Cheung, Mani Baskaran, Tien Yin Wong, Tin Aung:
Focal edge association to glaucoma diagnosis. EMBC 2011: 4481-4484 - [c8]Jun Cheng, Jiang Liu, Damon Wing Kee Wong, Fengshou Yin, Carol Yim-lui Cheung, Mani Baskaran, Tin Aung, Tien Yin Wong:
Automatic optic disc segmentation with peripapillary atrophy elimination. EMBC 2011: 6224-6227 - [c7]Yanwu Xu, Dong Xu, Stephen Lin, Jiang Liu, Jun Cheng, Carol Yim-lui Cheung, Tin Aung, Tien Yin Wong:
Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis. MICCAI (3) 2011: 1-8 - [c6]Jun Cheng, Dacheng Tao, Jiang Liu, Damon Wing Kee Wong, Beng Hai Lee, Mani Baskaran, Tien Yin Wong, Tin Aung:
Focal Biologically Inspired Feature for Glaucoma Type Classification. MICCAI (3) 2011: 91-98
2000 – 2009
- 2009
- [j2]Jun Cheng, Alex ChiChung Kot:
Steganalysis of halftone image using inverse halftoning. Signal Process. 89(6): 1000-1010 (2009) - 2007
- [j1]Jun Cheng, Alex C. Kot:
Objective Distortion Measure for Binary Text Image Based on Edge Line Segment Similarity. IEEE Trans. Image Process. 16(6): 1691-1695 (2007) - [c5]Jun Cheng, Alex C. Kot, Susanto Rahardja:
Steganalysis of Binary Cartoon Image using Distortion Measure. ICASSP (2) 2007: 261-264 - 2005
- [c4]Jun Cheng, Alex C. Kot, Jun Liu, Hong Cao:
Steganalysis of binary text images. ICASSP (4) 2005: 689-692 - [c3]Jun Cheng, Alex C. Kot, Jun Liu, Hong Cao:
Detection of data hiding in binary text images. ICIP (3) 2005: 73-76 - [c2]Jun Cheng, Alex C. Kot, Jun Liu, Hong Cao:
Steganalysis of data hiding in binary text images. ISCAS (5) 2005: 4405-4408 - 2003
- [c1]Haiping Lu, Alex C. Kot, Jun Cheng:
Secure data hiding in binary document images for authentication. ISCAS (3) 2003: 806-809
Coauthor Index
[j35] [j29] [j26] [j25] [j24] [j23] [i14] [j22] [j20] [j18] [j17] [j16] [c70] [c68] [c67] [c66] [c65] [c64] [c63] [i12] [i11] [j14] [c61] [c60] [c58] [c57] [c56] [c55] [c54] [c53] [p1] [i10] [i9] [i8] [i7] [i6] [i5] [j13] [j12] [j11] [j10] [c52] [c51] [c50] [c48] [c47] [c46] [c45] [i4] [i3] [i2] [i1] [c42] [c41] [c37] [c36] [j8] [c34] [c33] [c32] [j7] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [j6] [j5] [c19] [c18] [c17] [j4] [j3] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6]
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