Synthetic Fundus Fluorescein Angiography using Deep Neural Networks. - Florian Schiffers; Zekuan Yu; Steve Arguin; Andreas K. Maier; Qiushi Ren (Bildverarbeitung für die Medizin, 2018)

An Enhanced Residual U-Net for Microaneurysms and Exudates Segmentation in Fundus Images. - Caixia Kou; Wei Li; Zekuan Yu; Luzhan Yuan (IEEE Access, 2020)

A New Deep Neural Architecture Search Pipeline for Face Recognition. - Ning Zhu; Zekuan Yu; Caixia Kou (IEEE Access, 2020)

Self-guided filter for image denoising. - Shujin Zhu; Zekuan Yu (IET Image Process., 2020)

PML: Progressive Margin Loss for Long-Tailed Age Classification. - Zongyong Deng; Hao Liu 019; Yaoxing Wang; Chenyang Wang 004; Zekuan Yu; Xuehong Sun (CVPR, 2021)

Open Set Face Anti-Spoofing in Unseen Attacks. - Xin Dong; Hao Liu 019; Weiwei Cai; Pengyuan Lv; Zekuan Yu (ACM Multimedia, 2021)

Exploiting Invariance of Mining Facial Landmarks. - Jiangming Shi; Zixian Gao; Hao Liu 019; Zekuan Yu; Fengjun Li (ACM Multimedia, 2021)

Cross-modality Attention Method for Medical Image Enhancement. - Zebin Hu; Hao Liu 019; Zhendong Li; Zekuan Yu (PRCV (3), 2021)

Non-local Network Routing for Perceptual Image Super-Resolution. - Zexin Ji; Xin Dong; Zhendong Li; Zekuan Yu; Hao Liu 019 (PRCV (3), 2021)

Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning. - Fan Yang; Zhi-Ri Tang; Jing Chen; Min Tang; Shengchun Wang; Wanyin Qi; Chong Yao; Yuanyuan Yu; Yinan Guo 001; Zekuan Yu (BMC Medical Imaging, 2021)

Manifold cluster-based evolutionary ensemble imbalance learning. - Yinan Guo 001; Jiawei Feng; Botao Jiao; Linkai Yang; Hui Lu 002; Zekuan Yu (Comput. Ind. Eng., 2021)

Coarse-to-fine multiplanar D-SEA UNet for automatic 3D carotid segmentation in CTA images. - Junjie Wang; Yuanyuan Yu; Rongyao Yan; Jie Liu 044; Hao Wu; Daoying Geng; Zekuan Yu (Int. J. Comput. Assist. Radiol. Surg., 2021)

Cross-Model Transformer Method for Medical Image Synthesis. - Zebin Hu; Hao Liu 019; Zhendong Li; Zekuan Yu (Complex., 2021)

Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems. - Guangchun Ruan; Zekuan Yu; Shutong Pu; Songtao Zhou; Haiwang Zhong; Le Xie 001; Qing Xia 001; Chongqing Kang (CoRR, 2021)

MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification. - Huaqi Zhang; Jie Liu 044; Zekuan Yu; Pengyu Wang 005 (Neurocomputing, 2021)

Multi-objective evolutionary optimization based on online perceiving Pareto front characteristics. - Wenqing Feng; Dunwei Gong; Zekuan Yu (Inf. Sci., 2021)

Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease. - Yifan Wang; Xiao Liu; Ying Hu; Zekuan Yu; Tianhao Wu; Junjie Wang; Jie Liu 044; Jun Liu (BMC Medical Imaging, 2022)

Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning. - Zekuan Yu; Guangchun Ruan; Xinyue Wang; Guanglun Zhang; Yiliu He; Haiwang Zhong (CoRR, 2022)

A dual evolutionary bagging for class imbalance learning. - Yinan Guo 001; Jiawei Feng; Botao Jiao; Ning Cui; Shengxiang Yang; Zekuan Yu (Expert Syst. Appl., 2022)

Construct informative triplet with two-stage hard-sample generation. - Chuang Zhu; Zheng Hu; Huihui Dong; Gang He; Zekuan Yu; Shangshang Zhang (Neurocomputing, 2022)

A domain adaptation learning strategy for dynamic multiobjective optimization. - Guoyu Chen; Yinan Guo 001; Mingyi Huang; Dunwei Gong; Zekuan Yu (Inf. Sci., 2022)

GNAS-U2Net: A New Optic Cup and Optic Disc Segmentation Architecture With Genetic Neural Architecture Search. - Junding Sun; Chong Yao; Jie Liu 044; Weifan Liu; Zekuan Yu (IEEE Signal Process. Lett., 2022)

Evolutionary Dual-Ensemble Class Imbalance Learning for Human Activity Recognition. - Yinan Guo 001; Yaoqi Chu; Botao Jiao; Jian Cheng 004; Zekuan Yu; Ning Cui; Lianbo Ma (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Cross-Boosted Multi-Target Domain Adaptation for Multi-Modality Histopathology Image Translation and Segmentation. - Huaqi Zhang; Jie Liu 044; Pengyu Wang 005; Zekuan Yu; Weifan Liu; Huang Chen (IEEE J. Biomed. Health Informatics, 2022)

Look-Ahead AC Optimal Power Flow: A Model-Informed Reinforcement Learning Approach. - Xinyue Wang; Haiwang Zhong; Guanglun Zhang; Guangchun Ruan; Yiliu He; Zekuan Yu (CoRR, 2023)

Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review. - Chuang Zhu; Shengjie Liu; Feng Xu; Zekuan Yu; Arpit Aggarwal; Germán Corredor; Anant Madabhushi; Qixun Qu; Hongwei Fan; Fangda Li; Yueheng Li; Xianchao Guan; et al. (CoRR, 2023)

Registration-Free Hybrid Learning Empowers Simple Multimodal Imaging System for High-quality Fusion Detection. - Yinghan Guan; Haoran Dai; Zekuan Yu; Shouyu Wang; Yuanjie Gu (CoRR, 2023)

BTMF-GAN: A multi-modal MRI fusion generative adversarial network for brain tumors. - Xiao Liu; Hongyi Chen; Chong Yao; Rui Xiang; Kun Zhou; Peng Du; Weifan Liu; Jie Liu 044; Zekuan Yu (Comput. Biol. Medicine, 2023)

DCAM-NET:A novel domain generalization optic cup and optic disc segmentation pipeline with multi-region and multi-scale convolution attention mechanism. - Kaiwen Hua; Xianjin Fang; Zhiri Tang; Ying Cheng; Zekuan Yu (Comput. Biol. Medicine, 2023)

TUCNet: A channel and spatial attention-based graph convolutional network for teeth upsampling and completion. - Mengting Liu; Xiaojie Li; Jie Liu 044; Weifan Liu; Zekuan Yu (Comput. Biol. Medicine, 2023)

A Benchmark Dual-Modality Dental Imaging Dataset and a Novel Cognitively Inspired Pipeline for High-Resolution Dental Point Cloud Synthesis. - Zekuan Yu; Meijia Li; Jiacheng Yang; Zilong Chen; Huixian Zhang; Weifan Liu; Fang Kai Han; Jie Liu 044 (Cogn. Comput., 2023)

BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification. - Xiao Liu; Chong Yao; Hongyi Chen; Rui Xiang; Hao Wu; Peng Du; Zekuan Yu; Weifan Liu; Jie Liu 044; Daoying Geng (Comput. Medical Imaging Graph., 2023)

A dynamic constrained multiobjective evolutionary algorithm based on decision variable classification. - Yinan Guo 001; Mingyi Huang; Guoyu Chen; Dunwei Gong; Jing J. Liang; Zekuan Yu (Swarm Evol. Comput., 2023)

SegCoFusion: An Integrative Multimodal Volumetric Segmentation Cooperating With Fusion Pipeline to Enhance Lesion Awareness. - Yuanjie Gu; Yinghan Guan; Zekuan Yu; Biqin Dong (IEEE J. Biomed. Health Informatics, 2023)

SSP-RACL: Classification of Noisy Fundus Images with Self-Supervised Pretraining and Robust Adaptive Credal Loss. - Mengwen Ye; Yingzi Huangfu; You Li; Zekuan Yu (BioCAS, 2024)

SSHNN: Semi-Supervised Hybrid NAS Network for Echocardiographic Image Segmentation. - Renqi Chen; Jingjing Luo; Fan Nian; Yuhui Cen; Yiheng Peng; Zekuan Yu (ICASSP, 2024)

USCT: Uncertainty-regularized symmetric consistency learning for semi-supervised teeth segmentation in CBCT. - Yixin Jing; Jie Liu 044; Weifan Liu; Zhicheng Yang; Zhongwei Zhou; Zekuan Yu (Biomed. Signal Process. Control., 2024)

Network-Constrained Unit Commitment with Flexible Temporal Resolution. - Zekuan Yu; Haiwang Zhong; Guangchun Ruan; Xinfei Yan (CoRR, 2024)

SDR2Tr-GAN: A Novel Medical Image Fusion Pipeline Based on GAN With SDR2 Module and Transformer Optimization Strategy. - Ying Cheng; Xianjin Fang; Zhiri Tang; Zekuan Yu; Linlin Sun; Li Zhu (Int. J. Imaging Syst. Technol., 2024)

Ocular Disease Recognition via Differential Privacy and Unsupervised Domain Regularizer. - Zhiri Tang; Hau-San Wong; Zekuan Yu (IEEE Signal Process. Lett., 2024)

HSA-net with a novel CAD pipeline boosts both clinical brain tumor MR image classification and segmentation. - Zekuan Yu; Xiang Li; Jiaxin Li; Weiqiang Chen; Zhiri Tang; Daoying Geng (Comput. Biol. Medicine, 2024)

MHD-Net: Memory-Aware Hetero-Modal Distillation Network for Thymic Epithelial Tumor Typing With Missing Pathology Modality. - Huaqi Zhang; Jie Liu 044; Weifan Liu; Huang Chen; Zekuan Yu; Yixuan Yuan; Pengyu Wang 005; Jing Qin 001 (IEEE J. Biomed. Health Informatics, 2024)

Privacy-Preserving Federated Learning With Domain Adaptation for Multi-Disease Ocular Disease Recognition. - Zhiri Tang; Hau-San Wong; Zekuan Yu (IEEE J. Biomed. Health Informatics, 2024)

Alterations in structural integrity of superior longitudinal fasciculus III associated with cognitive performance in cerebral small vessel disease. - Yifan Wang; Tianyao Wang; Zekuan Yu; Junjie Wang; Fang Liu; Mengwen Ye; Xianjin Fang; Yinhong Liu; Jun Liu (BMC Medical Imaging, 2024)

CDSG-SAM: A cross-domain self-generating prompt few-shot brain tumor segmentation pipeline based on SAM. - Yang Yang; Xianjin Fang; Xiang Li; Yuxi Han; Zekuan Yu (Biomed. Signal Process. Control., 2025)

Fed-GFM-DG: A privacy-preserving framework for fundus image segmentation via generative-based feature generalization and mask-guided aggregation. - Jiacheng Yang; Yuanjie Gu; Shujian Gao; Wei Ren; Zekuan Yu (Biomed. Signal Process. Control., 2025)

L-SSHNN: A Larger search space of Semi-Supervised Hybrid NAS Network for echocardiography segmentation. - Renqi Chen; Fan Nian; Yuhui Cen; Yiheng Peng; Hongbo Wang; Zekuan Yu; Jingjing Luo (Expert Syst. Appl., 2025)

Mixed-GGNAS: Mixed Search-space NAS based on genetic algorithm combined with gradient descent for medical image segmentation. - Mengxiang Hu; Junchi Li; Yongquan Dong; Zichen Zhang 002; Weifan Liu; Peilin Zhang; Yuchao Ping; Le Jiang; Zekuan Yu (Expert Syst. Appl., 2025)

Automated Enhanced Handheld Fundus Photography via Unpaired Learning. - Yuanjie Gu; Jiacheng Yang; Yiqun Wang; Mengwen Ye; Xin Li; Xiaoran Li; Na Li; Jun Zhang 074; Yitian Zhao; Zekuan Yu; Biqin Dong (IEEE Trans. Instrum. Meas., 2025)

RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT. - Chuyu Zhao; Hao Huang; Jiashuo Guo; Ziyu Shen; Zhongwei Zhou; Jie Liu 044; Zekuan Yu (CoRR, 2025)

FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise. - Mengwen Ye; Yingzi Huangfu; Shujian Gao; Wei Ren; Weifan Liu; Zekuan Yu (CoRR, 2025)

MPGLNet: Multi-scale progressive global-local fusion dental point cloud complementation network. - Lin Zhang 015; Hongfei Zhang; Fucheng Niu; Zekuan Yu; Zhongwei Zhou; Hui Liu 024 (Biomed. Signal Process. Control., 2026)