An Architecture and a Platform for Recording and Replaying the Healthcare Information. - Yi Ding 003; Ji Geng 001; Zhe Xiao; Zhiguang Qin (HIS, 2014)

MRI brain image segmentation based on Kerneled FCM algorithm and using image filtering method. - Tian Lan 005; Zhe Xiao; Changsong Hu; Yi Ding 003; Zhiguang Qin (ICAILP, 2014)

Multimodal medical image fusion using wavelet transform and human vision system. - Tian Lan 005; Zhe Xiao; Yi Li; Yi Ding 003; Zhiguang Qin (ICAILP, 2014)

Classification of Alzheimer's disease based on the combination of morphometric feature and texture feature. - Yi Ding 003; Cong Zhang; Tian Lan 005; Zhiguang Qin; Xinjie Zhang; Wei Wang (BIBM, 2015)

A deep learning-based segmentation method for brain tumor in MR images. - Zhe Xiao; Ruohan Huang; Yi Ding 003; Tian Lan 005; Rongfeng Dong; Zhiguang Qin; Xinjie Zhang; Wei Wang (ICCABS, 2016)

Brain MR Image Classification for Alzheimer's Disease Diagnosis Based on Multifeature Fusion. - Zhe Xiao; Yi Ding 003; Tian Lan 005; Cong Zhang; Chuanji Luo; Zhiguang Qin (Comput. Math. Methods Medicine, 2017)

Brain Tumor Segmentation Using Concurrent Fully Convolutional Networks and Conditional Random Fields. - Guangyu Shen; Yi Ding 003; Tian Lan 005; Hao Chen 047; Zhiguang Qin (ICMIP, 2018)

RUN: Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection. - Tian Lan 005; Yuanyuan Li; Jonah Kimani Murugi; Yi Ding 003; Zhiguang Qin (CoRR, 2018)

Multi-modal brain tumor image segmentation based on SDAE. - Yi Ding 003; Rongfeng Dong; Tian Lan 005; Xuerui Li; Guangyu Shen; Hao Chen 047; Zhiguang Qin (Int. J. Imaging Syst. Technol., 2018)

A Stacked Multi-Connection Simple Reducing Net for Brain Tumor Segmentation. - Yi Ding 003; Fujuan Chen; Yang Zhao; Zhixing Wu; Chao Zhang; Dongyuan Wu (IEEE Access, 2019)

How to Improve the Deep Residual Network to Segment Multi-Modal Brain Tumor Images. - Yi Ding 003; Chang Li; Qiqi Yang; Zhen Qin 002; Zhiguang Qin (IEEE Access, 2019)

High-order correlation detecting in features for diagnosis of Alzheimer's disease and mild cognitive impairment. - Yi Ding 003; Chuanji Luo; Chang Li; Tian Lan 005; Zhiguang Qin (Biomed. Signal Process. Control., 2019)

Attacking the Dialogue System at Smart Home. - Erqiang Deng; Zhen Qin 002; Meng Li; Yi Ding 003; Zhiguang Qin (CollaborateCom (1), 2020)

Multi-Features Refinement and Aggregation for Medical Brain Segmentation. - Dongyuan Wu; Yi Ding 003; Mingfeng Zhang; Qiqi Yang; Zhiguang Qin (IEEE Access, 2020)

A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views? - Yi Ding 003; Wei Zheng; Guozheng Wu; Ji Geng 001; Mingsheng Cao; Zhiguang Qin (CoRR, 2020)

Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet. - Yi Ding 003; Qiqi Yang; Guozheng Wu; Jian Zhang; Zhiguang Qin (CoRR, 2020)

Brain tumor segmentation with deep convolutional symmetric neural network. - Hao Chen 047; Zhiguang Qin; Yi Ding 003; Tian Lan 005; Zhen Qin 002 (Neurocomputing, 2020)

A multi-path adaptive fusion network for multimodal brain tumor segmentation. - Yi Ding 003; Linpeng Gong; Mingfeng Zhang; Chang Li; Zhiguang Qin (Neurocomputing, 2020)

A framework for hierarchical division of retinal vascular networks. - Linfang Yu; Zhen Qin 002; Tianming Zhuang; Yi Ding 003; Zhiguang Qin; Kim-Kwang Raymond Choo (Neurocomputing, 2020)

Efficient Multi-Authority Attribute-based Signcryption with Constant-Size Ciphertext. - Yang Zhao; Ankang Ruan; Guohang Dan; Jicheng Huang; Yi Ding 003 (DSC, 2021)

ToStaGAN: An end-to-end two-stage generative adversarial network for brain tumor segmentation. - Yi Ding 003; Chao Zhang; Mingsheng Cao; Yilei Wang; Dajiang Chen; Ning Zhang 007; Zhiguang Qin (Neurocomputing, 2021)

DeepEDN: A Deep-Learning-Based Image Encryption and Decryption Network for Internet of Medical Things. - Yi Ding 003; Guozheng Wu; Dajiang Chen; Ning Zhang 007; Linpeng Gong; Mingsheng Cao; Zhiguang Qin (IEEE Internet Things J., 2021)

Generic network for domain adaptation based on self-supervised learning and deep clustering. - Adu Asare Baffour; Zhen Qin 002; Ji Geng 001; Yi Ding 003; Fuhu Deng; Zhiguang Qin (Neurocomputing, 2022)

Segmentation mask and feature similarity loss guided GAN for object-oriented image-to-image translation. - Zhen Qin 002; Qingya Chen; Yi Ding 003; Tianming Zhuang; Zhiguang Qin; Kim-Kwang Raymond Choo (Inf. Process. Manag., 2022)

MallesNet: A multi-object assistance based network for brachial plexus segmentation in ultrasound images. - Yi Ding 003; Qiqi Yang; Yiqian Wang; Dajiang Chen; Zhiguang Qin; Jian Zhang (Medical Image Anal., 2022)

MVFusFra: A Multi-View Dynamic Fusion Framework for Multimodal Brain Tumor Segmentation. - Yi Ding 003; Wei Zheng; Ji Geng 001; Zhen Qin 002; Kim-Kwang Raymond Choo; Zhiguang Qin; Xiaolin Hou (IEEE J. Biomed. Health Informatics, 2022)

Adversarial Sample Attack and Defense Method for Encrypted Traffic Data. - Yi Ding 003; Guiqin Zhu; Dajiang Chen; Xue Qin; Mingsheng Cao; Zhiguang Qin (IEEE Trans. Intell. Transp. Syst., 2022)

DeepKeyGen: A Deep Learning-Based Stream Cipher Generator for Medical Image Encryption and Decryption. - Yi Ding 003; Fuyuan Tan; Zhen Qin 002; Mingsheng Cao; Kim-Kwang Raymond Choo; Zhiguang Qin (IEEE Trans. Neural Networks Learn. Syst., 2022)

Diff-SFCT: A Diffusion Model with Spatial-Frequency Cross Transformer for Medical Image Segmentation. - Yuxuan Jiang; Yi Ding 003; Guobin Zhu; Zhen Qin 002; Minghui Pang; Mingsheng Cao (BIBM, 2023)

A survey of identity recognition via data fusion and feature learning. - Zhen Qin 002; Pengbiao Zhao; Tianming Zhuang; Fuhu Deng; Yi Ding 003; Dajiang Chen (Inf. Fusion, 2023)

Geometric Configuration Design and Fast Imaging for Multistatic Forward-Looking SAR Based on Wavenumber Spectrum Formation Approach. - Yumeng Liu; Yijing Zhao; Yi Ding 003 (Remote. Sens., 2023)

RLSegNet: An Medical Image Segmentation Network Based on Reinforcement Learning. - Yi Ding 003; Xue Qin; Mingfeng Zhang; Ji Geng 001; Dajiang Chen; Fuhu Deng; Chunhe Song (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Interpreting Universal Adversarial Example Attacks on Image Classification Models. - Yi Ding 003; Fuyuan Tan; Ji Geng 001; Zhen Qin 002; Mingsheng Cao; Kim-Kwang Raymond Choo; Zhiguang Qin (IEEE Trans. Dependable Secur. Comput., 2023)

FastNet: A Lightweight Convolutional Neural Network for Tumors Fast Identification in Mobile-Computer-Assisted Devices. - Peng Xiao; Zhen Qin 002; Dajiang Chen; Ning Zhang 007; Yi Ding 003; Fuhu Deng; Zhiguang Qin; Minghui Pang (IEEE Internet Things J., 2023)

Gradient Saliency-aware CutMix for Semi-Supervised Medical Image Segmentation. - Yuxuan Jiang; Guobin Zhu; Yi Ding 003; Zhen Qin 002; Minghui Pang (ICME, 2024)

S2F-Net: Shared-Specific Fusion Network for Infrared and Visible Image Fusion. - Yijing Zhao; Yuchao Xia; Yi Ding 003; Yumeng Liu; Shuai Liu; Hongan Wang (ICMR, 2024)

C2FResMorph: A high-performance framework for unsupervised 2D medical image registration. - Yi Ding 003; Junjian Bu; Zhen Qin 002; Li You; Mingsheng Cao; Zhiguang Qin; Minghui Pang (Pattern Recognit., 2024)

Backdoor Attack on Deep Learning-Based Medical Image Encryption and Decryption Network. - Yi Ding 003; Zi Wang; Zhen Qin 002; Erqiang Zhou; Guobin Zhu; Zhiguang Qin; Kim-Kwang Raymond Choo (IEEE Trans. Inf. Forensics Secur., 2024)

MFNet:Real-Time Motion Focus Network for Video Frame Interpolation. - Guosong Zhu; Zhen Qin 002; Yi Ding 003; Yao Liu; Zhiguang Qin (IEEE Trans. Multim., 2024)

A cascaded framework with cross-modality transfer learning for whole heart segmentation. - Yi Ding 003; Dan Mu; Jiaqi Zhang; Zhen Qin 002; Li You; Zhiguang Qin; Yingkun Guo (Pattern Recognit., 2024)

Temporal Refinement Graph Convolutional Network for Skeleton-Based Action Recognition. - Tianming Zhuang; Zhen Qin 002; Yi Ding 003; Fuhu Deng; Leduo Chen; Zhiguang Qin; Kim-Kwang Raymond Choo (IEEE Trans. Artif. Intell., 2024)

A privacy protection scheme for green communication combining digital steganography. - Pengbiao Zhao; Bintao Wang; Zhen Qin 002; Yi Ding 003; Kim-Kwang Raymond Choo (Peer Peer Netw. Appl., 2024)

Multi-scale Graph Convolution with Corrective Contrastive Learning for Skeleton-based Action Recognition. - Tianming Zhuang; Erqiang Zhou; Hanwen Zhang; Yi Ding 003; Ji Geng 001; Zhen Qin 002 (ICASSP, 2025)

DAMBLO: Improving arrhythmia classification with plug-and-play dual attention-based multiscale feature learning blocke. - Tianming Zhuang; Zhiguang Qin; Li You; Erqiang Deng; Yi Ding 003; Mingsheng Cao; Yingkun Guo (Expert Syst. Appl., 2025)

Multi-granularity classification of upper gastrointestinal endoscopic images. - Hua Wei; Dongyang Yi; Shuyu Hu; Guobin Zhu; Yi Ding 003; Minghui Pang (Neurocomputing, 2025)

Driving mutual advancement of 3D reconstruction and inpainting for masked faces. - Guosong Zhu; Zhen Qin 002; Erqiang Zhou; Yi Ding 003; Zhiguang Qin (Pattern Recognit., 2025)

DSDC-GCN: Decoupled Static-Dynamic Co-Occurrence Graph Convolutional Networks for Skeleton-Based Action Recognition. - Tianming Zhuang; Zhen Qin 002; Yi Ding 003; Zhiguang Qin; Ji Geng 001; Yi Liu; Kim-Kwang Raymond Choo (IEEE Trans. Circuits Syst. Video Technol., 2025)

Integrated Reinforcement Learning Framework for UAV Swarm Two-Stage Cooperative Multitarget Detection Tasks. - Yijing Zhao; Sanqiang Lu; Chao Wang; Yumeng Liu; Yi Ding 003; Hongan Wang (IEEE Internet Things J., 2025)

TransMatch: Employing Bridging Strategy to Overcome Large Deformation for Feature Matching in Gastroscopy Scenario. - Guosong Zhu; Zhen Qin 002; Linfang Yu; Yi Ding 003; Zhiguang Qin (IEEE Trans. Medical Imaging, 2025)