Jun Cheng - RankMe

176 papers A* 12A 3B 3C 4Misc 3Journal 79Unranked 71

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evidential Robust Feature Learning for Generalized Few-Shot Segmentation. Int. J. Comput. Vis. Weide Liu, Xiaoyang Zhong, Lu Wang, Chunbo Lang, Yuming Fang, Jun Cheng, XuLei Yang, Gong Cheng
2026	A*	`conf`	Heterogeneous Complementary Distillation. AAAI Liuchi Xu, Hao Zheng, Lu Wang, Lisheng Xu, Jun Cheng
2026	J	`jnl`	SRNet: Self-supervised structure regularization for stereo matching. Neurocomputing Jun Cheng, Zaiwang Gu, Weide Liu, Jiayuan Fan, Zhengguo Li, Chuan-Sheng Foo
2025	J	`jnl`	A Physics-Inspired Deep Learning Framework With Polar Coordinate Attention for Ptychographic Imaging. IEEE Trans. Computational Imaging Han Yue, Jun Cheng, Yuxuan Ren, Chien-Chun Chen, Grant A. van Riessen, Philip Heng Wai Leong, Feng Shu
2025	A*	`conf`	Debiased Distillation for Consistency Regularization. AAAI Lu Wang, Liuchi Xu, Xiong Yang, Zhenhua Huang, Jun Cheng
2025	—	`conf`	Dual Correlation-Aware Mamba for Microvascular Obstruction Identification in Non-contrast Cine Cardiac Magnetic Resonance. MICCAI (1) Yige Yan, Jun Cheng, XuLei Yang, Shuang Leng, Ru-San Tan, Liang Zhong, Jagath C. Rajapakse
2025	A*	`conf`	Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching. ICLR Lile Cai, Chuan-Sheng Foo, Xun Xu, Zaiwang Gu, Jun Cheng, XuLei Yang
2025	J	`jnl`	Heterogeneous Complementary Distillation. CoRR Liuchi Xu, Hao Zheng, Lu Wang, Lisheng Xu, Jun Cheng
2025	—	`conf`	Improving OCTA Imaging Through Cross-Domain Adaptation: A Noise-Guided Framework Using Intralipid-Enhanced Rat Data. MICCAI (7) Bingyu Yang, Bingyao Tan, Zaiwang Gu, Leopold Schmetterer, Huiqi Li, Jun Cheng
2025	J	`jnl`	Improving multi-modal brain tumor segmentation via pre-training and knowledge distillation based post-training. Neurocomputing Weide Liu, Jingwen Hou, Xiaoyang Zhong, Huijing Zhan, Jun Cheng, Yuming Fang, Guanghui Yue
2025	J	`jnl`	Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation. CoRR Lechun You, Zhonghua Wu, Weide Liu, XuLei Yang, Jun Cheng, Wei Zhou, Bharadwaj Veeravalli, Guosheng Lin
2025	—	`conf`	Intra- and Cross-View Enhancement for OCTA Imaging. MICCAI (13) Jingbo Zeng, Bingyao Tan, Zaiwang Gu, Shenghua Gao, Leopold Schmetterer, Jun Cheng
2025	A*	`conf`	LiftFeat: 3D Geometry-Aware Local Feature Matching. ICRA Yepeng Liu, Wenpeng Lai, Zhou Zhao, Yuxuan Xiong, Jinchi Zhu, Jun Cheng, Yongchao Xu
2025	J	`jnl`	LiftFeat: 3D Geometry-Aware Local Feature Matching. CoRR Yepeng Liu, Wenpeng Lai, Zhou Zhao, Yuxuan Xiong, Jinchi Zhu, Jun Cheng, Yongchao Xu
2025	J	`jnl`	Local Dense Logit Relations for Enhanced Knowledge Distillation. CoRR Liuchi Xu, Kang Liu, Jinshuai Liu, Lu Wang, Lisheng Xu, Jun Cheng
2025	J	`jnl`	MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching. CoRR Yepeng Liu, Zhichao Sun, Baosheng Yu, Yitian Zhao, Bo Du, Yongchao Xu, Jun Cheng
2025	J	`jnl`	MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching. IEEE Trans. Image Process. Yepeng Liu, Zhichao Sun, Baosheng Yu, Yitian Zhao, Bo Du, Yongchao Xu, Jun Cheng
2025	J	`jnl`	Masked Vascular Structure Segmentation and Completion in Retinal Images. IEEE Trans. Medical Imaging Yi Zhou, Thiara Sana Ahmed, Meng Wang, Eric A. Newman, Leopold Schmetterer, Huazhu Fu, Jun Cheng, Bingyao Tan
2025	J	`jnl`	Modality-Aware Feature Matching: A Comprehensive Review of Single- and Cross-Modality Techniques. CoRR Weide Liu, Wei Zhou, Jun Liu, Ping Hu, Jun Cheng, Jungong Han, Weisi Lin
2025	J	`jnl`	Multimodal multitask similarity learning for vision language model on radiological images and reports. Neurocomputing Yang Yu, Jiahao Wang, Weide Liu, Ivan Ho Mien, Pavitra Krishnaswamy, XuLei Yang, Jun Cheng
2025	J	`jnl`	Physically-guided open vocabulary segmentation with weighted patched alignment loss. Neurocomputing Weide Liu, Jieming Lou, Xingxing Wang, Wei Zhou, Jun Cheng, XuLei Yang
2025	J	`jnl`	Plasticine: A Traceable Diffusion Model for Medical Image Translation. CoRR Tianyang Zhanng, Xinxing Cheng, Jun Cheng, Shaoming Zheng, He Zhao, Huazhu Fu, Alejandro F. Frangi, Jiang Liu, Jinming Duan
2025	A*	`conf`	Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification. CVPR Rui Gong, Kim-Hui Yap, Weide Liu, XuLei Yang, Jun Cheng
2025	—	`conf`	Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport. MICCAI (15) Qinkai Yu, Jianyang Xie, Yitian Zhao, Cheng Chen, Lijun Zhang, Liming Chen, Jun Cheng, Lu Liu, Yalin Zheng, Yanda Meng
2025	J	`jnl`	Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport. CoRR Qinkai Yu, Jianyang Xie, Yitian Zhao, Cheng Chen, Lijun Zhang, Liming Chen, Jun Cheng, Lu Liu, Yalin Zheng, Yanda Meng
2025	—	`conf`	Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance. MICCAI (16) Yang Yu, Christopher Kok, Jiahao Wang, Jun Cheng, Shuang Leng, Ru-San Tan, Liang Zhong, XuLei Yang
2025	A	`conf`	Uncertainty Aware Interest Point Detection and Description. WACV Jingbo Zeng, Zaiwang Gu, Weide Liu, Lile Cai, Jun Cheng
2024	—	`conf`	ASPVNet: Attention Based Sparse Point-Voxel Network for 3D Object Detection. PRCV (10) Bingxin Yu, Lu Wang, Yuhong He, Xiaoyang Wang, Jun Cheng
2024	J	`jnl`	Automatic tooth segmentation for patients with alveolar clefts guided by tooth descriptors. Biomed. Signal Process. Control. Yuhang Gong, Jing Zhang, Jun Cheng, Wei Yuan, Ling He
2024	J	`jnl`	Choroidal Layer Analysis in OCT images via Ambiguous Boundary-aware Attention. Comput. Biol. Medicine Qifeng Yan, Yuhui Ma, Wenjun Wu, Lei Mou, Wei Huang, Jun Cheng, Yitian Zhao
2024	—	`conf`	Coarse-Grained Mask Regularization for Microvascular Obstruction Identification from Non-contrast Cardiac Magnetic Resonance. MICCAI (1) Yige Yan, Jun Cheng, XuLei Yang, Zaiwang Gu, Shuang Leng, Ru-San Tan, Liang Zhong, Jagath C. Rajapakse
2024	J	`jnl`	Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency. CoRR Weide Liu, Jingwen Hou, Xiaoyang Zhong, Huijing Zhan, Jun Cheng, Yuming Fang, Guanghui Yue
2024	J	`jnl`	FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction With Continuous-to-Discrete Conversion. IEEE Trans. Ind. Informatics Chao Cai, Yuming Fang, Weide Liu, Ruibing Jin, Jun Cheng, Zhenghua Chen
2024	J	`jnl`	Gaussian Mixture based Evidential Learning for Stereo Matching. CoRR Weide Liu, Xingxing Wang, Lu Wang, Jun Cheng, Fayao Liu, XuLei Yang
2024	J	`jnl`	Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation. Int. J. Comput. Vis. Weide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng, Guosheng Lin
2024	J	`jnl`	Holistic and Contextual Evidential Stereo-LiDAR Fusion for Depth Estimation. IEEE Trans. Intell. Veh. Jiayuan Fan, Haixiang Chen, Weide Liu, Xun Xu, Jun Cheng
2024	—	`conf`	Improving 3D Occupancy Prediction through Class-Balancing Loss and Multi-Scale Representation. CAI Huizhou Chen, Jiangyi Wang, Yuxin Li, Na Zhao, Jun Cheng, XuLei Yang
2024	J	`jnl`	Improving 3D Occupancy Prediction through Class-balancing Loss and Multi-scale Representation. CoRR Huizhou Chen, Jiangyi Wang, Yuxin Li, Na Zhao, Jun Cheng, XuLei Yang
2024	—	`conf`	KA-Seg: Improving LiDAR Point Cloud. PRCV (10) Kaining Cui, Xiaoyang Wang, Lu Wang, Jun Cheng
2024	Misc	`conf`	Latent Degradation Representation Constraint for Single Image Deraining. ICASSP Yuhong He, Long Peng, Lu Wang, Jun Cheng
2024	A*	`conf`	Learning Intra-View and Cross-View Geometric Knowledge for Stereo Matching. CVPR Rui Gong, Weide Liu, Zaiwang Gu, XuLei Yang, Jun Cheng
2024	J	`jnl`	Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching. CoRR Rui Gong, Weide Liu, Zaiwang Gu, XuLei Yang, Jun Cheng
2024	J	`jnl`	MACG-Net: Multi-axis cross gating network for deformable medical image registration. Comput. Biol. Medicine Wei Yuan, Jun Cheng, Yuhang Gong, Ling He, Jing Zhang
2024	—	`conf`	Multi-dataset Collaborative Learning for Liver Tumor Segmentation. EMBC Ziyuan Zhao, Renjun Cai, Kaixin Xu, Zhengji Liu, XuLei Yang, Jun Cheng, Cuntai Guan
2024	A*	`conf`	On-the-fly Point Feature Representation for Point Clouds Analysis. ACM Multimedia Jiangyi Wang, Zhongyao Cheng, Na Zhao, Jun Cheng, XuLei Yang
2024	J	`jnl`	On-the-fly Point Feature Representation for Point Clouds Analysis. CoRR Jiangyi Wang, Zhongyao Cheng, Na Zhao, Jun Cheng, XuLei Yang
2024	—	`conf`	Progressive Retinal Image Registration via Global and Local Deformable Transformations. BIBM Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng
2024	J	`jnl`	Progressive Retinal Image Registration via Global and Local Deformable Transformations. CoRR Yepeng Liu, Baosheng Yu, Tian Chen, Yuliang Gu, Bo Du, Yongchao Xu, Jun Cheng
2024	J	`jnl`	Ptychoformer: A Physics-Guided Deep Learning Framework for Ptychographic Imaging. CoRR Han Yue, Jun Cheng, Yuxuan Ren, Philip Heng Wai Leong, Steve Feng Shu
2024	J	`jnl`	Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Tianyang Zhang, Shaoming Zheng, Jun Cheng, Xi Jia, Joseph Bartlett, Xinxing Cheng, Zhaowen Qiu, Huazhu Fu, Jiang Liu, Ales Leonardis, Jinming Duan
2024	A*	`conf`	SuperJunction: Learning-Based Junction Detection for Retinal Image Registration. AAAI Yu Wang, Xiaoye Wang, Zaiwang Gu, Weide Liu, Wee Siong Ng, Weimin Huang, Jun Cheng
2024	J	`jnl`	Target-Guided Diffusion Models for Unpaired Cross-Modality Medical Image Translation. IEEE J. Biomed. Health Informatics Yimin Luo, Qinyu Yang, Ziyi Liu, Zenglin Shi, Weimin Huang, Guoyan Zheng, Jun Cheng
2024	—	`conf`	VPFNET: A Scale-Adaptive Voxel Point Fusion Network for Semantic Segmentation of Point Clouds. PRCV (10) Xiaoyang Wang, Kaining Cui, Lu Wang, Zhenfei Liu, Bingxin Yu, Yuhong He, Jun Cheng
2024	J	`jnl`	When low-vision task meets dense prediction tasks with less data: an auxiliary self-trained geometry regularization. Trans. Mach. Learn. Res. Zaiwang Gu, Weide Liu, XuLei Yang, Chuan-Sheng Foo, Jun Cheng
2023	J	`jnl`	Automatic fibroatheroma identification in intravascular optical coherence tomography volumes. J. Ambient Intell. Humaniz. Comput. Qifeng Yan, Mengdi Xu, Damon Wing Kee Wong, Akira Taruya, Atsushi Tanaka, Jiang Liu, Philip Wong, Jun Cheng
2023	J	`jnl`	CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images. Neurocomputing Xiyue Wang, Yuqi Fang, Sen Yang, Delong Zhu, Minghui Wang, Jing Zhang, Jun Zhang, Jun Cheng, Kai-Yu Tong, Xiao Han
2023	J	`jnl`	CPP-Net: Context-Aware Polygon Proposal Network for Nucleus Segmentation. IEEE Trans. Image Process. Shengcong Chen, Changxing Ding, Minfeng Liu, Jun Cheng, Dacheng Tao
2023	A*	`conf`	ELFNet: Evidential Local-global Fusion for Stereo Matching. ICCV Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng
2023	J	`jnl`	ELFNet: Evidential Local-global Fusion for Stereo Matching. CoRR Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng
2023	J	`jnl`	Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation. CoRR Weide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng, Guosheng Lin
2023	J	`jnl`	Latent Degradation Representation Constraint for Single Image Deraining. CoRR Yuhong He, Long Peng, Lu Wang, Jun Cheng
2023	J	`jnl`	Perceptual Quality Assessment of Enhanced Colonoscopy Images: A Benchmark Dataset and an Objective Method. IEEE Trans. Circuits Syst. Video Technol. Guanghui Yue, Di Cheng, Tianwei Zhou, Jingwen Hou, Weide Liu, Long Xu, Tianfu Wang, Jun Cheng
2023	A	`conf`	RFDNet: Real-Time 3D Object Detection Via Range Feature Decoration. IROS Hongda Chang, Lu Wang, Jun Cheng
2022	—	`conf`	CT2CXR: CT-based CXR Synthesis for Covid-19 Pneumonia Classification. MLMI@MICCAI Peter Ho Hin Yuen, Xiaohong Wang, Zhiping Lin, Nikki Ka Wai Chow, Jun Cheng, Cher Heng Tan, Weimin Huang
2022	J	`jnl`	Memorizing Structure-Texture Correspondence for Image Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Kang Zhou, Jing Li, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao
2022	J	`jnl`	Proxy-Bridged Image Reconstruction Network for Anomaly Detection in Medical Images. IEEE Trans. Medical Imaging Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao
2021	J	`jnl`	CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging. Medical Image Anal. 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
2021	A	`conf`	MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation. BMVC Yepeng Liu, Zaiwang Gu, Shenghua Gao, Dong Wang, Yusheng Zeng, Jun Cheng
2021	J	`jnl`	MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation. CoRR Yepeng Liu, Zaiwang Gu, Shenghua Gao, Dong Wang, Yusheng Zeng, Jun Cheng
2021	J	`jnl`	Proxy-bridged Image Reconstruction Network for Anomaly Detection in Medical Images. CoRR Kang Zhou, Jing Li, Weixin Luo, Zhengxin Li, Jianlong Yang, Huazhu Fu, Jun Cheng, Jiang Liu, Shenghua Gao
2021	J	`jnl`	Structure and Illumination Constrained GAN for Medical Image Enhancement. IEEE Trans. Medical Imaging Yuhui Ma, Jiang Liu, Yonghuai Liu, Huazhu Fu, Yan Hu, Jun Cheng, Hong Qi, Yufei Wu, Jiong Zhang, Yitian Zhao
2020	—	`conf`	Automatic Glaucoma Detection from Stereo Fundus Images. EMBC Ee Ping Ong, Jun Cheng, Damon Wing Kee Wong, Elton L. T. Tay, Hwei Yee Teo, Rosalyn Grace Loo, Leonard W. L. Yip
2020	J	`jnl`	CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging. CoRR 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
2020	J	`jnl`	Correction to "Noise Adaptation Generative Adversarial Network for Medical Image Analysis". IEEE Trans. Medical Imaging Tianyang Miller, Jun Cheng, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Ru Zheng, Jiang Liu
2020	—	`conf`	Cycle Structure and Illumination Constrained GAN for Medical Image Enhancement. MICCAI (2) Yuhui Ma, Yonghuai Liu, Jun Cheng, Yalin Zheng, Morteza Ghahremani, Honghan Chen, Jiang Liu, Yitian Zhao
2020	—	`conf`	Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT Images. EMBC Xiaoqian Mao, Yitian Zhao, Bang Chen, Yuhui Ma, Zaiwang Gu, Shenshen Gu, Jianlong Yang, Jun Cheng, Jiang Liu
2020	J	`jnl`	Dense Dilated Network With Probability Regularized Walk for Vessel Detection. IEEE Trans. Medical Imaging Lei Mou, Li Chen, Jun Cheng, Zaiwang Gu, Yitian Zhao, Jiang Liu
2020	—	`conf`	Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. ECCV (20) Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao
2020	J	`jnl`	Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. CoRR Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao
2020	J	`jnl`	Glove-type massage feature acquisition by human organ simulators: Feasibility and comparison. Signal Process. Image Commun. Jiangting Liu, Bing Wang, Yingying Zhang, Jun Cheng, Fang Fang, Zhenyang Li
2020	J	`jnl`	Guest Editorial Ophthalmic Image Analysis and Informatics. IEEE J. Biomed. Health Informatics Jun Cheng, Huazhu Fu, Delia Cabrera DeBuc, Jie Tian
2020	Misc	`conf`	HARaaS: HAR as a service using wifi signal in IoT-enabled edge computing: poster abstract. SenSys Jin Zhang, Bo Wei, Jun Cheng
2020	J	`jnl`	JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation. IEEE Trans. Biomed. Eng. Yuming Jiang, Lixin Duan, Jun Cheng, Zaiwang Gu, Hu Xia, Huazhu Fu, Changsheng Li, Jiang Liu
2020	J	`jnl`	Noise Adaptation Generative Adversarial Network for Medical Image Analysis. IEEE Trans. Medical Imaging Tianyang Zhang, Jun Cheng, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Rui Zheng, Jiang Liu
2020	—	`conf`	Noise Redistribution and 3D Shearlet Filtering for Speckle Reduction in Optical Coherence Tomography. ISBI Yan Hu, Jianlong Yang, Jun Cheng, Jiang Liu
2020	—	`conf`	Open-Set OCT Image Recognition with Synthetic Learning. ISBI Yuting Xiao, Shenghua Gao, Zhenjie Chai, Kang Zhou, Tianyang Zhang, Yitian Zhao, Jun Cheng, Jiang Liu
2020	—	`conf`	SUNet: A Lesion Regularized Model for Simultaneous Diabetic Retinopathy and Diabetic Macular Edema Grading. ISBI Zhi Tu, Shenghua Gao, Kang Zhou, Xianing Chen, Huazhu Fu, Zaiwang Gu, Jun Cheng, Zehao Yu, Jiang Liu
2020	—	`conf`	Sparse-Gan: Sparsity-Constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. ISBI Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu
2020	J	`jnl`	Speckle reduction of OCT via super resolution reconstruction and its application on retinal layer segmentation. Artif. Intell. Medicine Qifeng Yan, Bang Chen, Yan Hu, Jun Cheng, Yan Gong, Jianlong Yang, Jiang Liu, Yitian Zhao
2019	A*	`conf`	A Deep Step Pattern Representation for Multimodal Retinal Image Registration. ICCV Jimmy Addison Lee, Peng Liu, Jun Cheng, Huazhu Fu
2019	J	`jnl`	BioNet: Infusing Biomarker Prior into Global-to-Local Network for Choroid Segmentation in Optical Coherence Tomography Images. CoRR Huihong Zhang, Jianlong Yang, Kang Zhou, Zhenjie Chai, Jun Cheng, Shenghua Gao, Jiang Liu
2019	J	`jnl`	CE-Net: Context Encoder Network for 2D Medical Image Segmentation. CoRR Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu
2019	J	`jnl`	CE-Net: Context Encoder Network for 2D Medical Image Segmentation. IEEE Trans. Medical Imaging Zaiwang Gu, Jun Cheng, Huazhu Fu, Kang Zhou, Huaying Hao, Yitian Zhao, Tianyang Zhang, Shenghua Gao, Jiang Liu
2019	—	`conf`	CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation. MICCAI (1) Lei Mou, Yitian Zhao, Li Chen, Jun Cheng, Zaiwang Gu, Huaying Hao, Hong Qi, Yalin Zheng, Alejandro F. Frangi, Jiang Liu
2019	J	`jnl`	Dense Dilated Network with Probability Regularized Walk for Vessel Detection. CoRR Lei Mou, Li Chen, Jun Cheng, Zaiwang Gu, Yitian Zhao, Jiang Liu
2019	—	`ch.`	Glaucoma Detection Based on Deep Learning Network in Fundus Image. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Huazhu Fu, Jun Cheng, Yanwu Xu, Jiang Liu
2019	—	`conf`	Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction In Vivo. MICCAI (1) Hengrong Lan, Kang Zhou, Changchun Yang, Jun Cheng, Jiang Liu, Shenghua Gao, Fei Gao
2019	—	`conf`	Network Pruning for OCT Image Classification. OMIA@MICCAI Bing Yang, Yi Zhang, Jun Cheng, Jin Zhang, Lei Mou, Huaying Hao, Yitian Zhao, Jiang Liu
2019	—	`conf`	Pixel Reconstruction For Speckle Reduction In 3D Optical Coherence Tomography Of Retina. ISBI Jun Cheng, Yitian Zhao, Yan Hu, Jiang Liu
2019	J	`jnl`	Reliability technology using GO methodology: A review. Qual. Reliab. Eng. Int. Xiao-jian Yi, Jian Shi, Jun Cheng
2019	—	`conf`	SkrGAN: Sketching-Rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis. MICCAI (4) Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu
2019	J	`jnl`	SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis. CoRR Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, Jiang Liu
2019	J	`jnl`	Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image. CoRR Kang Zhou, Shenghua Gao, Jun Cheng, Zaiwang Gu, Huazhu Fu, Zhi Tu, Jianlong Yang, Yitian Zhao, Jiang Liu
2019	—	`conf`	Speckle Reduction in Optical Coherence Tomography via Super-Resolution Reconstruction. EMBC Rui Zhao, Yitian Zhao, Zhili Chen, Yifan Zhao, Jianlong Yang, Yan Hu, Jun Cheng, Jiang Liu
2019	—	`conf`	The Channel Attention Based Context Encoder Network for Inner Limiting Membrane Detection. OMIA@MICCAI Hao Qiu, Zaiwang Gu, Lei Mou, Xiaoqian Mao, Liyang Fang, Yitian Zhao, Jiang Liu, Jun Cheng
2019	J	`jnl`	The Channel Attention based Context Encoder Network for Inner Limiting Membrane Detection. CoRR Hao Qiu, Zaiwang Gu, Lei Mou, Xiaoqian Mao, Liyang Fang, Yitian Zhao, Jiang Liu, Jun Cheng
2019	A*	`conf`	Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering. CVPR Jianyang Xie, Yitian Zhao, Yonghuai Liu, Pan Su, Yifan Zhao, Jun Cheng, Yalin Zheng, Jiang Liu
2018	C	`conf`	A Robust Outliers' Elimination Scheme for Multimodal Retina Image Registration Using Constrained Affine Transformation. TENCON Ee Ping Ong, Jun Cheng, Damon Wing Kee Wong, Hwei Yee Teo, Leonard W. L. Yip
2018	Misc	`conf`	Combining Multiple Deep Features for Glaucoma Classification. ICASSP Annan Li, Yunhong Wang, Jun Cheng, Jiang Liu
2018	—	`conf`	DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling. COMPAY/OMIA@MICCAI Zaiwang Gu, Peng Liu, Kang Zhou, Yuming Jiang, Haoyu Mao, Jun Cheng, Jiang Liu
2018	J	`jnl`	Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image. IEEE Trans. Medical Imaging Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao
2018	J	`jnl`	Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image. CoRR Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao
2018	—	`conf`	Fundus Image Quality-Guided Diabetic Retinopathy Grading. COMPAY/OMIA@MICCAI Kang Zhou, Zaiwang Gu, Annan Li, Jun Cheng, Shenghua Gao, Jiang Liu
2018	J	`jnl`	Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation. IEEE Trans. Medical Imaging Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao
2018	J	`jnl`	Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation. CoRR Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao
2018	—	`conf`	Large-Scale Left and Right Eye Classification in Retinal Images. COMPAY/OMIA@MICCAI Peng Liu, Zaiwang Gu, Fan Liu, Yuming Jiang, Shanshan Jiang, Haoyu Mao, Jun Cheng, Lixin Duan, Jiang Liu
2018	J	`jnl`	Learning supervised descent directions for optic disc segmentation. Neurocomputing Annan Li, Zhiheng Niu, Jun Cheng, Fengshou Yin, Damon Wing Kee Wong, Shuicheng Yan, Jiang Liu
2018	J	`jnl`	Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang. CoRR Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu
2018	—	`conf`	Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading. EMBC Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu
2018	—	`conf`	Optic Disc and Cup Segmentation with Blood Vessel Removal from Fundus Images for Glaucoma Detection. EMBC Yuming Jiang, Hu Xia, Yanwu Xu, Jun Cheng, Huazhu Fu, Lixin Duan, Zhigang Meng, Jiang Liu
2018	—	`conf`	Reliability Analysis of Modular System in MUSER Based on Goal Oriented Methodology: Case Study on LOFARARTS. ICPHM Jun Cheng, Xiao-jian Yi, Long Xu, Wei Wang, Yihua Yan
2018	—	`conf`	Retinal Artery and Vein Classification via Dominant Sets Clustering-Based Vascular Topology Estimation. MICCAI (2) Yitian Zhao, Jianyang Xie, Pan Su, Yalin Zheng, Yonghuai Liu, Jun Cheng, Jiang Liu
2018	J	`jnl`	Sparse Range-Constrained Learning and Its Application for Medical Image Grading. IEEE Trans. Medical Imaging Jun Cheng
2018	J	`jnl`	Structure-Preserving Guided Retinal Image Filtering and Its Application for Optic Disk Analysis. IEEE Trans. Medical Imaging Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu, Damon Wing Kee Wong, Jiang Liu
2018	J	`jnl`	Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis. CoRR Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu, Damon Wing Kee Wong, Jiang Liu
2017	—	`conf`	Application of wavelet clean for Mingantu Spectral Radioheliograph imaging. ISPACS Jun Cheng, Long Xu, Zhicong Lu, Dong Zhao, Linjie Chen, Yihua Yan
2017	C	`conf`	Auto-flag the baseline for Mingantu Ultrawide Spectral Radioheliograph with LSTM. VCIP Jun Cheng, Long Xu, Xuexin Yu, Linjie Chen, Wei Wang, Yihua Yan
2017	—	`conf`	Extract-and-match geometric corner and step pattern approach for registration of fluoroscopic X-ray sequences. EMBC Jimmy Addison Lee, Mengdi Xu, Jun Cheng, Huazhu Fu, Damon Wing Kee Wong, Nicolas Foin
2017	—	`conf`	Fibroatheroma identification in Intravascular Optical Coherence Tomography images using deep features. EMBC Mengdi Xu, Jun Cheng, Annan Li, Jimmy Addison Lee, Damon Wing Kee Wong, Akira Taruya, Atsushi Tanaka, Nicolas Foin, Philip Wong
2017	—	`conf`	Glaucoma classification from retina optical coherence tomography angiogram. EMBC Ee Ping Ong, Jun Cheng, Damon Wing Kee Wong, Jiang Liu, Elton L. T. Tay, Leonard W. L. Yip
2017	—	`conf`	Image quality classification for DR screening using deep learning. EMBC Fengli Yu, Jing Sun, Annan Li, Jun Cheng, Cheng Wan, Jiang Liu
2017	—	`conf`	Multi-scale clean deconvolution for solar radio imaging with Mingantu Ultrawide Spectral Radioheliograph (MUSER). ISPACS Dong Zhao, Long Xu, Linjie Chen, Jun Cheng, Li Zhang, Yihua Yan
2017	—	`conf`	Optic Disc Detection via Deep Learning in Fundus Images. FIFI/OMIA@MICCAI Peiyuan Xu, Cheng Wan, Jun Cheng, Di Niu, Jiang Liu
2017	—	`conf`	Retinal Image Quality Classification Using Fine-Tuned CNN. FIFI/OMIA@MICCAI Jing Sun, Cheng Wan, Jun Cheng, Fengli Yu, Jiang Liu
2016	—	`conf`	Automated basal cell carcinoma detection in high-definition optical coherence tomography. EMBC Annan Li, Jun Cheng, Ai Ping Yow, Ruchir Srivastava, Damon Wing Kee Wong, Hong Liang Tey, Jiang Liu
2016	—	`conf`	Automated in vivo 3D high-definition optical coherence tomography skin analysis system. EMBC Ai Ping Yow, Jun Cheng, Annan Li, Ruchir Srivastava, Jiang Liu, Damon Wing Kee Wong, Hong Liang Tey
2016	—	`conf`	Integrating holistic and local deep features for glaucoma classification. EMBC Annan Li, Jun Cheng, Damon Wing Kee Wong, Jiang Liu
2016	J	`jnl`	Speckle Reduction in 3D Optical Coherence Tomography of Retina by A-Scan Reconstruction. IEEE Trans. Medical Imaging Jun Cheng, Dacheng Tao, Ying Quan, Damon Wing Kee Wong, Chui Ming Gemmy Cheung, Masahiro Akiba, Jiang Liu
2015	—	`conf`	A Robust Outlier Elimination Approach for Multimodal Retina Image Registration. MICCAI (2) 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
2015	—	`conf`	A cloud-based system for automatic glaucoma screening. EMBC 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
2015	A*	`conf`	A low-dimensional step pattern analysis algorithm with application to multimodal retinal image registration. CVPR Jimmy Addison Lee, Jun Cheng, Beng Hai Lee, Ee Ping Ong, Guozhen Xu, Damon Wing Kee Wong, Jiang Liu, Augustinus Laude, Tock Han Lim
2015	—	`conf`	An augmented reality assistance platform for eye laser surgery. EMBC 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
2015	—	`conf`	Epidermal segmentation in high-definition optical coherence tomography. EMBC Annan Li, Jun Cheng, Ai Ping Yow, Carolin Wall, Damon Wing Kee Wong, Hong Liang Tey, Jiang Liu
2015	C	`conf`	Graph based lumen segmentation in optical coherence tomography images. ICICS Mengdi Xu, Jun Cheng, Damon Wing Kee Wong, Jiang Liu, Akira Taruya, Atsushi Tanaka
2015	—	`conf`	Registration of Color and OCT Fundus Images Using Low-dimensional Step Pattern Analysis. MICCAI (2) Jimmy Addison Lee, Jun Cheng, Guozhen Xu, Ee Ping Ong, Beng Hai Lee, Damon Wing Kee Wong, Jiang Liu
2015	C	`conf`	Skin surface topographic assessment using in vivo high-definition optical coherence tomography. ICICS Ai Ping Yow, Jun Cheng, Annan Li, Carolin Wall, Damon Wing Kee Wong, Jiang Liu, Hong Liang Tey
2015	J	`jnl`	Sparse Dissimilarity-Constrained Coding for Glaucoma Screening. IEEE Trans. Biomed. Eng. Jun Cheng, Fengshou Yin, Damon Wing Kee Wong, Dacheng Tao, Jiang Liu
2015	—	`conf`	Using deep learning for robustness to parapapillary atrophy in optic disc segmentation. ISBI Ruchir Srivastava, Jun Cheng, Damon Wing Kee Wong, Jiang Liu
2014	—	`conf`	Automatic atherosclerotic heart disease detection in intracoronary optical coherence tomography images. EMBC Mengdi Xu, Jun Cheng, Damon Wing Kee Wong, Akira Taruya, Atsushi Tanaka, Jiang Liu
2014	—	`conf`	Speckle Reduction in Optical Coherence Tomography by Image Registration and Matrix Completion. MICCAI (1) Jun Cheng, Lixin Duan, Damon Wing Kee Wong, Dacheng Tao, Masahiro Akiba, Jiang Liu
2014	—	`conf`	Speckle reduction in optical coherence tomography by matrix completion using bilateral random projection. EMBC Jun Cheng, Lixin Duan, Damon Wing Kee Wong, Masahiro Akiba, Jiang Liu
2013	—	`conf`	Automated anterior chamber angle localization and glaucoma type classification in OCT images. EMBC Yanwu Xu, Jiang Liu, Jun Cheng, Beng Hai Lee, Damon Wing Kee Wong, Mani Baskaran, Shamira A. Perera, Tin Aung
2013	J	`jnl`	Research and applications: Automatic glaucoma diagnosis through medical imaging informatics. J. Am. Medical Informatics Assoc. 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
2013	—	`conf`	Self-assessment for optic disc segmentation. EMBC Jun Cheng, Jiang Liu, Fengshou Yin, Beng Hai Lee, Damon Wing Kee Wong, Tin Aung, Ching Yu Cheng, Tien Yin Wong
2013	—	`conf`	Superpixel Classification Based Optic Cup Segmentation. MICCAI (3) Jun Cheng, Jiang Liu, Dacheng Tao, Fengshou Yin, Damon Wing Kee Wong, Yanwu Xu, Tien Yin Wong
2013	J	`jnl`	Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening. IEEE Trans. Medical Imaging 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
2012	B	`conf`	Early age-related macular degeneration detection by focal biologically inspired feature. ICIP Jun Cheng, Damon Wing Kee Wong, Xiangang Cheng, Jiang Liu, Ngan Meng Tan, Mayuri Bhargava, Chui Ming Gemmy Cheung, Tien Yin Wong
2012	B	`conf`	Efficient optic cup localization based on superpixel classification for glaucoma diagnosis in digital fundus images. ICPR Yanwu Xu, Jiang Liu, Jun Cheng, Fengshou Yin, Ngan Meng Tan, Damon Wing Kee Wong, Ching Yu Cheng, Yih Chung Tham, Tien Yin Wong
2012	—	`conf`	Efficient optic cup localization using regional propagation based on retinal structure priors. EMBC Yanwu Xu, Jiang Liu, Jun Cheng, Fengshou Yin, Ngan Meng Tan, Damon Wing Kee Wong, Mani Baskaran, Ching Yu Cheng, Tien Yin Wong
2012	J	`jnl`	Peripapillary Atrophy Detection by Sparse Biologically Inspired Feature Manifold. IEEE Trans. Medical Imaging Jun Cheng, Dacheng Tao, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Tien Yin Wong, Seang Mei Saw
2012	B	`conf`	Peripapillary atrophy detection by biologically inspired feature. ICPR Jun Cheng, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Carol Yim-lui Cheung, Mani Baskaran, Tien Yin Wong, Seang Mei Saw
2012	J	`jnl`	Reproducibility of Corneal Graft Thickness measurements with COLGATE in patients who have undergone DSAEK (Descemet Stripping Automated Endothelial Keratoplasty). BMC Medical Imaging Melissa H. Y. Wong, Annabel Chew, Hla M. Htoon, Beng Hai Lee, Jun Cheng, Jiang Liu, Donald T. Tan, Jodhbir S. Mehta
2012	—	`conf`	Sector-based optic cup segmentation with intensity and blood vessel priors. EMBC Fengshou Yin, Jiang Liu, Damon Wing Kee Wong, Ngan Meng Tan, Jun Cheng, Ching Yu Cheng, Yih Chung Tham, Tien Yin Wong
2012	—	`conf`	Superpixel Classification Based Optic Disc Segmentation. ACCV (2) Jun Cheng, Jiang Liu, Yanwu Xu, Fengshou Yin, Damon Wing Kee Wong, Ngan Meng Tan, Ching Yu Cheng, Yih Chung Tham, Tien Yin Wong
2012	—	`conf`	Superpixel classification for initialization in model based optic disc segmentation. EMBC Jun Cheng, Jiang Liu, Yanwu Xu, Fengshou Yin, Damon Wing Kee Wong, Beng Hai Lee, Carol Yim-lui Cheung, Tin Aung, Tien Yin Wong
2011	—	`conf`	Automatic optic disc segmentation with peripapillary atrophy elimination. EMBC Jun Cheng, Jiang Liu, Damon Wing Kee Wong, Fengshou Yin, Carol Yim-lui Cheung, Mani Baskaran, Tin Aung, Tien Yin Wong
2011	—	`conf`	Focal Biologically Inspired Feature for Glaucoma Type Classification. MICCAI (3) Jun Cheng, Dacheng Tao, Jiang Liu, Damon Wing Kee Wong, Beng Hai Lee, Mani Baskaran, Tien Yin Wong, Tin Aung
2011	—	`conf`	Focal edge association to glaucoma diagnosis. EMBC 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
2011	—	`conf`	Sliding Window and Regression Based Cup Detection in Digital Fundus Images for Glaucoma Diagnosis. MICCAI (3) Yanwu Xu, Dong Xu, Stephen Lin, Jiang Liu, Jun Cheng, Carol Yim-lui Cheung, Tin Aung, Tien Yin Wong
2009	J	`jnl`	Steganalysis of halftone image using inverse halftoning. Signal Process. Jun Cheng, Alex ChiChung Kot
2007	J	`jnl`	Objective Distortion Measure for Binary Text Image Based on Edge Line Segment Similarity. IEEE Trans. Image Process. Jun Cheng, Alex C. Kot
2007	—	`conf`	Steganalysis of Binary Cartoon Image using Distortion Measure. ICASSP (2) Jun Cheng, Alex C. Kot, Susanto Rahardja
2005	—	`conf`	Detection of data hiding in binary text images. ICIP (3) Jun Cheng, Alex C. Kot, Jun Liu, Hong Cao
2005	—	`conf`	Steganalysis of binary text images. ICASSP (4) Jun Cheng, Alex C. Kot, Jun Liu, Hong Cao
2005	—	`conf`	Steganalysis of data hiding in binary text images. ISCAS (5) Jun Cheng, Alex C. Kot, Jun Liu, Hong Cao
2003	—	`conf`	Secure data hiding in binary document images for authentication. ISCAS (3) Haiping Lu, Alex C. Kot, Jun Cheng