A Novel Image Coding Method with Visual Cortical Model. - Rongchang Zhao; Yide Ma (AICI (2), 2011)

A region segmentation method for region-oriented image compression. - Rongchang Zhao; Yide Ma (Neurocomputing, 2012)

Retinal vessel segmentation in colour fundus images using Extreme Learning Machine. - Chengzhang Zhu; Beiji Zou 001; Rongchang Zhao; Jinkai Cui; Xuanchu Duan; Zailiang Chen 001; Yixiong Liang (Comput. Medical Imaging Graph., 2017)

Crime Hotspot Detection and Monitoring Using Video Based Event Modeling and Mapping Techniques. - Beiji Zou 001; Mohammed Nurudeen; Chengzhang Zhu; Rongchang Zhao (Int. J. Comput. Intell. Syst., 2017)

Automatic Anterior Lamina Cribrosa Surface Depth Measurement Based on Active Contour and Energy Constraint. - Zailiang Chen 001; Peng Peng; Beiji Zou 001; Hailan Shen; Hao Wei; Rongchang Zhao (J. Comput. Sci. Technol., 2017)

Orientation Histogram-Based Center-Surround Interaction: An Integration Approach for Contour Detection. - Rongchang Zhao; Min Wu 002; Xiyao Liu 001; Beiji Zou 001; Fangfang Li 004 (Neural Comput., 2017)

Novel robust zero-watermarking scheme for digital rights management of 3D videos. - Xiyao Liu 001; Rongchang Zhao; Fangfang Li 004; Shenghui Liao; Yipeng Ding; Beiji Zou 001 (Signal Process. Image Commun., 2017)

An Approach for Glaucoma Detection Based on the Features Representation in Radon Domain. - Beiji Zou 001; Qilin Chen; Rongchang Zhao; Ping-Bo Ouyang; Chengzhang Zhu; Xuanchu Duan (ICIC (2), 2018)

Automatic Measurement of Cup-to-Disc Ratio for Retinal Images. - Xin Zhao; Fan Guo 001; Beiji Zou 001; Xiyao Liu 001; Rongchang Zhao (PRCV (1), 2018)

Localisation and segmentation of optic disc with the fractional-order Darwinian particle swarm optimisation algorithm. - Fan Guo 001; Hui Peng 001; Beiji Zou 001; Rongchang Zhao; Xiyao Liu 001 (IET Image Process., 2018)

Crime prediction and mapping based on real time video analysis. - Mohammed Nurudeen; Beiji Zou 001; Chengzhang Zhu; Rongchang Zhao (J. Ambient Intell. Smart Environ., 2018)

Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis. - Rongchang Zhao; Wangmin Liao; Beiji Zou 001; Zailiang Chen 001; Shuo Li 001 (AAAI, 2019)

Multi-index Optic Disc Quantification via MultiTask Ensemble Learning. - Rongchang Zhao; Zailiang Chen 001; Xiyao Liu 001; Beiji Zou 001; Shuo Li 001 (MICCAI (1), 2019)

A novel glaucomatous representation method based on Radon and wavelet transform. - Beiji Zou 001; Changlong Chen; Rongchang Zhao; Ping-Bo Ouyang; Chengzhang Zhu; Qilin Chen; Xuanchu Duan (BMC Bioinform., 2019)

Dual-attention Focused Module for Weakly Supervised Object Localization. - Yukun Zhou; Zailiang Chen 001; Hailan Shen; Qing Liu 003; Rongchang Zhao; Yixiong Liang (CoRR, 2019)

Automatic Diabetic Retinopathy Screening via Cascaded Framework Based on Image- and Lesion-Level Features Fusion. - Chengzhang Zhu; Rong Hu; Beiji Zou 001; Rongchang Zhao; Changlong Chen; Yalong Xiao (J. Comput. Sci. Technol., 2019)

Retinal vessel optical coherence tomography images for anemia screening. - Zailiang Chen 001; Yufang Mo; Ping-Bo Ouyang; Hailan Shen; Dabao Li; Rongchang Zhao (Medical Biol. Eng. Comput., 2019)

Improving Knowledge Distillation via Category Structure. - Zailiang Chen 001; Xianxian Zheng; Hailan Shen; Ziyang Zeng; Yukun Zhou; Rongchang Zhao (ECCV (28), 2020)

EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis. - Rongchang Zhao; Xuanlin Chen; Zailiang Chen 001; Shuo Li 001 (ECCV (21), 2020)

Non-rigid retinal image registration using an unsupervised structure-driven regression network. - Beiji Zou 001; Zhiyou He; Rongchang Zhao; Chengzhang Zhu; Wangmin Liao; Shuo Li 001 (Neurocomputing, 2020)

Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning. - Rongchang Zhao; Shuo Li 001 (Medical Image Anal., 2020)

Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis. - Wangmin Liao; Beiji Zou 001; Rongchang Zhao; Yuanqiong Chen; Zhiyou He; Mengjie Zhou (IEEE J. Biomed. Health Informatics, 2020)

Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning. - Rongchang Zhao; Xuanlin Chen; Xiyao Liu 001; Zailiang Chen 001; Fan Guo 001; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2020)

A refined equilibrium generative adversarial network for retinal vessel segmentation. - Yukun Zhou; Zailiang Chen 001; Hailan Shen; Xianxian Zheng; Rongchang Zhao; Xuanchu Duan (Neurocomputing, 2021)

Robust and discriminative zero-watermark scheme based on invariant features and similarity-based retrieval to protect large-scale DIBR 3D videos. - Xiyao Liu 001; Yifan Wang 008; Ziqiang Sun; Lei Wang 017; Rongchang Zhao; Yuesheng Zhu; Beiji Zou 001; Yu-qian Zhao; Hui Fang 003 (Inf. Sci., 2021)

Dual Gradient Alignment for Unsupervised Domain Adaptation on Optic Disc and Cup Segmentation. - Rongchang Zhao; Yufeng Wang (BIBM, 2022)

A Pair-Metamorphosis-Decouple Synthetic Data Scheme for Color Fundus Image Registration. - Zailiang Chen 001; Yuqi Liu; Hailan Shen; Tianhao Luo; Rongchang Zhao (ICME, 2022)

Retinal microaneurysm detection based on transformation splicing and multi-context ensemble learning. - Jingyu Du; Beiji Zou 001; Ping-Bo Ouyang; Rongchang Zhao (Biomed. Signal Process. Control., 2022)

Marginal samples for knowledge distillation. - Zailiang Chen 001; Xianxian Zheng; Hailan Shen; Jinghao Zhang; Peishan Dai; Rongchang Zhao (Neurocomputing, 2022)

Diagnosing glaucoma on imbalanced data with self-ensemble dual-curriculum learning. - Rongchang Zhao; Xuanlin Chen; Zailiang Chen 001; Shuo Li 001 (Medical Image Anal., 2022)

Confidence-Guided Weakly-Supervised Visual Evidence Discovering for Trustworthy Glaucoma Diagnosis. - Rongchang Zhao; Siyu Chen; Jin Liu; Jian Zhang 048 (BIBM, 2023)

MS-EBDL: Reliable Glaucoma Assessment via Sufficient Epistemic Uncertainty. - Rongchang Zhao; Rui Ma; Liang Zhou; Xiaoliang Jia; Jin Liu (BIBM, 2023)

Geometry-Adaptive Network for Robust Detection of Placenta Accreta Spectrum Disorders. - Zailiang Chen 001; Jiang Zhu; Hailan Shen; Hui Liu; Yajing Li 006; Rongchang Zhao; Feiyang Yu (MICCAI (7), 2023)

CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN. - Bo Zhao; Tingting Cheng; Xueren Zhang; Jingjing Wang; Hong Zhu; Rongchang Zhao; Dengwang Li; Zijian Zhang 004; Gang Yu (Comput. Medical Imaging Graph., 2023)

FDCT: Fusion-Guided Dual-View Consistency Training for semi-supervised tissue segmentation on MRI. - Zailiang Chen 001; Yazheng Hou; Hui Liu; Ziyu Ye; Rongchang Zhao; Hailan Shen (Comput. Biol. Medicine, 2023)

Prognosis Forecast of Re-Irradiation for Recurrent Nasopharyngeal Carcinoma Based on Deep Learning Multi-Modal Information Fusion. - Shanfu Lu; Xiang Xiao; Ziye Yan; Tingting Cheng; Xufang Tan; Rongchang Zhao; Haijun Wu; Liangfang Shen; Zijian Zhang 004 (IEEE J. Biomed. Health Informatics, 2023)

EP-Net: Automatic Artery/Vein Classification With Evidential Probability Map. - Rongchang Zhao; Bo Xu 002; Xiaoliang Jia; Jin Liu (BIBM, 2024)

HFGS: High-Frequency Information Guided Net for Multi-Regions Pseudo-CT Synthesis. - Rongchang Zhao; Jianyu Qi; Rui Li; Teng Yang; Jiaxu Li; Jian Zhang; Zijian Zhang (BIBM, 2024)

Fractional function energy efficiency optimization in wireless networks: A graph convolutional network approach. - Jian Zhang 048; Chunwei Miao; Jiaqi Huang; Rongchang Zhao (Ad Hoc Networks, 2024)

Generating synthesized computed tomography from CBCT/LDCT using a novel Generative-Transformer Adversarial-CNN. - Min Yuan; Yufei Xie; Rongchang Zhao; Ningning Lv; Zijian Zhang 004; Liye Zhu; Xiaolin Wu (Biomed. Signal Process. Control., 2024)

SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental Semantic Segmentation. - Jiaxu Li; Songning Lai; Rui Li; Di Fang 004; Kejia Fan; Jianheng Tang 001; Yuhan Zhao; Rongchang Zhao; Dongzhan Zhou; Yutao Yue; Huiping Zhuang (CoRR, 2024)

MIST: Multi-instance selective transformer for histopathological subtype prediction. - Rongchang Zhao; Zijun Xi; Huanchi Liu; Xiangkun Jian; Jian Zhang; Zijian Zhang; Shuo Li 001 (Medical Image Anal., 2024)

AIDC: Benchmark for Analytical Learning in Incremental Disease Classification. - Rongchang Zhao; Jianyu Qi; Rui Li; Zhijie Zheng; Jian Zhang; Jiaxu Li (ICASSP, 2025)

Uncertainty-aware consistency learning for semi-supervised medical image segmentation. - Min Dong; Ating Yang; Zhenhang Wang; Dezhen Li; Jing Yang; Rongchang Zhao (Knowl. Based Syst., 2025)

KDFF-DETR: Knowledge-Driven Feature Fusion DETR for Spaceborne Infrared Ship Detection. - Yifei Peng; Ze Tao; Jian Zhang 048; Rongchang Zhao; Chao Liu 058; Hui Sun (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement. - Chenrui Ma; Rongchang Zhao; Xi Xiao; Hongyang Xie; Tianyang Wang; Xiao Wang 004; Hao Zhang; Yanning Shen (CoRR, 2025)

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation. - Rongchang Zhao; Huanchi Liu; Jian Zhang (CoRR, 2025)