Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy c-Means Clustering. - Ahmed El-Azab; Changmiao Wang; Fucang Jia; Jianhuang Wu; Guanglin Li 001; Qingmao Hu (Comput. Math. Methods Medicine, 2015)

Lung nodule classification using deep feature fusion in chest radiography. - Changmiao Wang; Ahmed El-Azab; Jianhuang Wu; Qingmao Hu (Comput. Medical Imaging Graph., 2017)

3D Enhanced Multi-scale Network for Thoracic Organs Segmentation. - Qin Wang 011; Weibing Zhao; Chunhui Zhang; Liyue Zhang; Changmiao Wang; Zhen Li 026; Shuguang Cui; Guanbin Li (SegTHOR@ISBI, 2019)

Learning Mutually Local-Global U-Nets For High-Resolution Retinal Lesion Segmentation In Fundus Images. - Zizheng Yan; Xiaoguang Han 001; Changmiao Wang; Yuda Qiu; Zixiang Xiong; Shuguang Cui (ISBI, 2019)

Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images. - Ahmed Elazab; Changmiao Wang; Syed Jamal Safdar Gardezi; Hongmin Bai; Tianfu Wang 001; Baiying Lei; Chunqi Chang (EMBC, 2020)

GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images. - Ahmed Elazab; Changmiao Wang; Syed Jamal Safdar Gardezi; Hongmin Bai; Qingmao Hu; Tianfu Wang 001; Chunqi Chang; Baiying Lei (Neural Networks, 2020)

Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos Using Learnable Temporal Difference. - Wenting Jiang; Yicheng Jiang; Lu Zhang 051; Changmiao Wang; Xiaoguang Han 001; Shuixing Zhang; Xiang Wan; Shuguang Cui (MICCAI (5), 2021)

String Stability and Platoon Safety Analysis of a New Car-Following Model Considering a Stabilization Strategy. - Mingfei Mu; Junjie Zhang 003; Changmiao Wang; Jun Zhang; Can Yang (IEEE Access, 2021)

Hepatocellular Carcinoma Segmentation fromDigital Subtraction Angiography Videos usingLearnable Temporal Difference. - Wenting Jiang; Yicheng Jiang; Lu Zhang 051; Changmiao Wang; Xiaoguang Han 001; Shuixing Zhang; Xiang Wan; Shuguang Cui (CoRR, 2021)

Surface Defect Detection with Modified Real-Time Detector YOLOv3. - Zhihui Wang 003; Hou-Ying Zhu; Xianqing Jia; Yongtang Bao; Changmiao Wang (J. Sensors, 2022)

GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge Integration. - Xuhao Shan; Xinyang Li; Ruiquan Ge; Shibin Wu; Ahmed Elazab; Jichao Zhu; Lingyan Zhang; Gangyong Jia; Qingying Xiao; Xiang Wan; Changmiao Wang (BIBM, 2023)

UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-Wide-Angle Transformation Multi-scale GAN. - Zhaojie Fang; Zhanghao Chen; Pengxue Wei; Wangting Li; Shaochong Zhang; Ahmed Elazab; Gangyong Jia; Ruiquan Ge; Changmiao Wang (MICCAI (7), 2023)

MPSurv: End-to-End Multi-model Pseudo-Label Model for Brain Tumor Survival Prediction with Population Information Integration. - Qingsong Wang; Xin Lin; Ruiquan Ge; Ahmed Elazab; Xiangyang Hu; Jionghao Cheng; Yuqing Peng; Xiang Wan; Changmiao Wang (CMMCA@MICCAI, 2023)

TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction. - Ruiquan Ge; Xiangyang Hu; Rungen Huang; Gangyong Jia; Yaqi Wang; Renshu Gu; Changmiao Wang; Elazab Ahmed; Linyan Wang; Juan Ye; Ye Li (CoRR, 2023)

Masked Conditional Diffusion Model with GNN for Spatial Transcriptomics Data Imputation. - Xiaoyu Li; Wenwen Min; Shunfang Wang; Changmiao Wang; Taosheng Xu (BIBM, 2024)

PGP: Prior-Guided Pretraining for Small-sample Esophageal Cancer Segmentation. - Qinglei Shi; Wenhan Duan; Wanyi Chen; Haotian Yang; Haochen Lu; Kecan Wu; Junxi Zhu; Juefei Yuan; Qiyan Ke; Andu Zhang; Xiang Wan; Changmiao Wang; et al. (BIBM, 2024)

CCLNet: Causal and Contrastive Learning Framework for Enhanced Pulmonary Embolism Detection. - Zhipeng Wang; Ruiquan Ge; Jianxun Yu; Feiwei Qin; Yuan Tian; Nannan Li; Wenwen Min; Ahmed Elazab; Changmiao Wang (BIBM, 2024)

ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism. - Xinlei Yu; Ahmed Elazab; Ruiquan Ge; Hui Jin; Xinchen Jiang; Gangyong Jia; Qing Wu 008; Qinglei Shi; Changmiao Wang (BIBM, 2024)

Infrared Image Super-Resolution via Lightweight Information Split Network. - Shijie Liu; Kang Yan; Feiwei Qin; Changmiao Wang; Ruiquan Ge; Kai Zhang 008; Jie Huang; Yong Peng 001; Jin Cao (ICIC (8), 2024)

Make an Image Move: Few-Shot Based Video Generation Guided by CLIP. - Yonglong Huang; Cheng Yu; Nannan Li; Fuqin Deng; Ruiquan Ge; Changmiao Wang (ICPR (6), 2024)

BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models From Chest X-Ray Images. - Zhanghao Chen; Yifei Sun 005; Ruiquan Ge; Wenjian Qin; Cheng Pan; Wenming Deng; Zhou Liu; Wenwen Min; Ahmed Elazab; Xiang Wan; Changmiao Wang (ISBI, 2024)

Semi-Supervised Medical Image Segmentation Method Based on Cross-Pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies. - Yifei Chen; Chenyan Zhang; Yifan Ke; Yiyu Huang; Xuezhou Dai; Feiwei Qin; Yongquan Zhang; Xiaodong Zhang; Changmiao Wang (ISBI, 2024)

PE-MVCNET: Multi-View and Cross-Modal Fusion Network for Pulmonary Embolism Prediction. - Zhaoxin Guo; Zhipeng Wang; Ruiquan Ge; Jianxun Yu; Feiwei Qin; Yuan Tian; Yuqing Peng; Yonghong Li; Changmiao Wang (ISBI, 2024)

ICHPro: Intracerebral Hemorrhage Prognosis Classification via Joint-Attention Fusion-Based 3D Cross-Modal Network. - Xinlei Yu; Xinyang Li; Ruiquan Ge; Shibin Wu; Ahmed Elazab; Jichao Zhu; Lingyan Zhang; Gangyong Jia; Taosheng Xu; Xiang Wan; Changmiao Wang (ISBI, 2024)

TC-DiffRecon: Texture Coordination MRI Reconstruction Method Based on Diffusion Model and Modified MF-UNet Method. - Chenyan Zhang; Yifei Chen; Zhenxiong Fan; Yiyu Huang; Wenchao Weng; Ruiquan Ge; Dong Zeng; Changmiao Wang (ISBI, 2024)

GLFF: A Global-Local Feature Fusion Model to Segment Epileptic Focus of Focal Cortical Dysplasia from Multi-Channel MR Images. - Xiaodong Zhang; Changmiao Wang; Fengjun Zhu; Tong Mo; Yang Sun; Lin Li; Qingmao Hu; Jinping Xu; Dezhi Cao (ISBI, 2024)

CircMAN: Multi-channel Attention Networks Based on Feature Fusion for CircRNA-Binding Protein Site Prediction. - Huiliang Luo; Guojian Deng; Riqian Hu; Ruiquan Ge; Feiwei Qin; Changmiao Wang (ISBRA (1), 2024)

Spatial Gene Expression Prediction from Histology Images with STco. - Zhiceng Shi; Fangfang Zhu; Changmiao Wang; Wenwen Min (ISBRA (1), 2024)

stEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement. - Shuailin Xue; Fangfang Zhu; Changmiao Wang; Wenwen Min (ISBRA (1), 2024)

Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation. - Xiang Li 115; Huihui Fang; Changmiao Wang; Mingsi Liu; Lixin Duan; Yanwu Xu 001 (MICCAI (11), 2024)

SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation. - Yifei Chen; Binfeng Zou; Zhaoxin Guo; Yiyu Huang; Yifan Huang; Feiwei Qin; Qinhai Li; Changmiao Wang (WACV, 2024)

Quaternion-based 2D-DOST and stacked principal component analysis network for multimodal face recognition. - Zhuhong Shao; Leding Li; Bicao Li; Yuanyuan Shang; Gouenou Coatrieux; Huazhong Shu; Changmiao Wang (Appl. Soft Comput., 2024)

Multimodal contrastive learning for spatial gene expression prediction using histology images. - Wenwen Min; Zhiceng Shi; Jun Zhang; Jun Wan 005; Changmiao Wang (Briefings Bioinform., 2024)

stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation. - Xiaoyu Li; Wenwen Min; Shunfang Wang; Changmiao Wang; Taosheng Xu (CoRR, 2024)

VQ-NeRV: A Vector Quantized Neural Representation for Videos. - Yunjie Xu; Xiang Feng; Feiwei Qin; Ruiquan Ge; Yong Peng 001; Changmiao Wang (CoRR, 2024)

ConsistencyDet: A Robust Object Detector with a Denoising Paradigm of Consistency Model. - Lifan Jiang; Zhihui Wang 003; Changmiao Wang; Ming Li 065; Jiaxu Leng; Xindong Wu 001 (CoRR, 2024)

GFE-Mamba: Mamba-based AD Multi-modal Progression Assessment via Generative Feature Extraction from MCI. - Zhaojie Fang; Shenghao Zhu; Yifei Chen; Binfeng Zou; Fan Jia; Linwei Qiu; Chang Liu 090; Yiyu Huang; Xiang Feng; Feiwei Qin; Changmiao Wang; Yeru Wang; et al. (CoRR, 2024)

TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling. - Ruiquan Ge; Xiao Yu; Yifei Chen; Fan Jia; Shenghao Zhu; Guanyu Zhou; Yiyu Huang; Chenyan Zhang; Dong Zeng; Changmiao Wang; Qiegen Liu; Shanzhou Niu (CoRR, 2024)

Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach. - Yifei Chen; Shenghao Zhu; Zhaojie Fang; Chang Liu 090; Binfeng Zou; Yuhe Wang; Shuo Chang; Fan Jia; Feiwei Qin; Jin Fan; Yong Peng 001; Changmiao Wang (CoRR, 2024)

BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models. - Yifei Sun 005; Zhanghao Chen; Hao Zheng; Wenming Deng; Jin Liu; Wenwen Min; Ahmed Elazab; Xiang Wan; Changmiao Wang; Ruiquan Ge (CoRR, 2024)

Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions. - Ahmed Elazab; Changmiao Wang; Mohammed Abdelaziz; Jian Zhang; Jason Gu; Juan Manuel Górriz; Yudong Zhang 001; Chunqi Chang (Expert Syst. Appl., 2024)

TDFFM: Transformer and Deep Forest Fusion Model for Predicting Coronavirus 3C-Like Protease Cleavage Sites. - Qingsong Wang; Ruiquan Ge; Changmiao Wang; Ahmed Elazab; Qiming Fang; Renfeng Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases. - Yifei Chen; Chenyan Zhang; Ben Chen; Yiyu Huang; Yifei Sun 005; Changmiao Wang; Xianjun Fu; Yuxing Dai; Feiwei Qin; Yong Peng 001; Yu Gao (Comput. Biol. Medicine, 2024)

LKFormer: large kernel transformer for infrared image super-resolution. - Feiwei Qin; Kang Yan; Changmiao Wang; Ruiquan Ge; Yong Peng 001; Kai Zhang 008 (Multim. Tools Appl., 2024)

UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-Scale Generation and Registration Enhancement. - Ruiquan Ge; Zhaojie Fang; Pengxue Wei; Zhanghao Chen; Hongyang Jiang 001; Ahmed Elazab; Wangting Li; Xiang Wan; Shaochong Zhang; Changmiao Wang (IEEE J. Biomed. Health Informatics, 2024)

Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach. - Yifei Chen; Shenghao Zhu; Zhaojie Fang; Chang Liu 090; Binfeng Zou; Linwei Qiu; Yuhe Wang; Shuo Chang; Fan Jia; Feiwei Qin; Jin Fan; Yong Peng 001; et al. (ICASSP, 2025)

Deep Neural Network for Lung Adenocarcinoma Subtype from Multimodal Fusion of Imaging and Clinical Data. - Chenchen Fan; Liya Liu; Yuxuan Wang; Danna Li; Qinghua Liang; Ahmed Elazab; Zhou Liu; Jiahang Hu; Yuan Tian; Yongquan Zhang; Changmiao Wang (ISBI, 2025)

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction. - Xiangyang Hu; Xiangyu Shen; Yifei Sun 005; Xuhao Shan; Wenwen Min; Liyilei Su; Xiaomao Fan; Ahmed Elazab; Ruiquan Ge; Changmiao Wang; Xiaopeng Fan (ISBI, 2025)

CSF-NET: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting. - Yin Shen; Zhaojie Fang; Ke Zhuang; Guanyu Zhou; Xiao Yu; Yucheng Zhao; Yuan Tian; Ruiquan Ge; Changmiao Wang; Xiaopeng Fan; Ahmed Elazab (ISBI, 2025)

TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis from Imaging, Clinical, and Radiomic Data Fusion. - Linglong Wu; Xuhao Shan; Ruiquan Ge; Ruoyu Liang; Chi Zhang; Yonghong Li; Ahmed Elazab; Huoling Luo; Yunbi Liu; Changmiao Wang (ISBI, 2025)

XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision Xlstm and Heteromodal Variational Encoder-Decoder. - Shenghao Zhu; Yifei Chen; Shuo Jiang; Weihong Chen; Chang Liu 090; Yuanhan Wang; Xu Chen; Yifan Ke; Feiwei Qin; Changmiao Wang; Zhu Zhu (ISBI, 2025)

Rapid and accurate classification of retinal OCT diseases using reparameterized one-dimensional convolutional networks. - Dexun Zhang; Mengjiao Zhang; Youming Sun; Wenjing Meng; Zhenzhen Li; Changmiao Wang; Huoling Luo; Zhengwei Zhang; Tianqiao Zhang (Biomed. Signal Process. Control., 2025)

LPUWF-LDM: Enhanced latent diffusion model for precise late-phase UWF-FA generation on limited dataset. - Zhaojie Fang; Xiao Yu; Guanyu Zhou; Ke Zhuang; Yifei Chen; Ruiquan Ge; Changmiao Wang; Gangyong Jia; Qing Wu 008; Juan Ye; Maimaiti Nuliqiman; Peifang Xu; et al. (Expert Syst. Appl., 2025)

InfraFFN: A Feature Fusion Network leveraging dual-path convolution and self-attention for infrared image super-resolution. - Feiwei Qin; Zhengwei Shen; Ruiquan Ge; Kai Zhang 008; Fei Lin; Yeru Wang; Juan Manuel Górriz; Ahmed Elazab; Changmiao Wang (Knowl. Based Syst., 2025)

ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism. - Xinlei Yu; Ahmed Elazab; Ruiquan Ge; Jichao Zhu; Lingyan Zhang; Gangyong Jia; Qing Wu 008; Xiang Wan; Lihua Li; Changmiao Wang (Neural Networks, 2025)

SCKansformer: Fine-Grained Classification of Bone Marrow Cells via Kansformer Backbone and Hierarchical Attention Mechanisms. - Yifei Chen; Zhu Zhu; Shenghao Zhu; Linwei Qiu; Binfeng Zou; Fan Jia; Yunpeng Zhu; Chenyan Zhang; Zhaojie Fang; Feiwei Qin; Jin Fan; Changmiao Wang; et al. (IEEE J. Biomed. Health Informatics, 2025)

DiffusionClusNet: Deep Clustering-Driven Diffusion Models for Ultrasound Image Enhancement. - Nuo Chen; Yongquan Zhang; Chenchen Fan; Wei Zhao; Changmiao Wang; Hai Wang 004 (IEEE Trans. Consumer Electron., 2025)

FedVC: Virtual Clients for Federated Autonomous Driving With Imbalanced Label Distribution. - Yongquan Zhang; Hongda Chen; Zhihui Wang 003; Rahul Kumar; Changmiao Wang (IEEE Trans. Consumer Electron., 2025)

Towards Practical Alzheimer's Disease Diagnosis: A Lightweight and Interpretable Spiking Neural Model. - Changwei Wu; Yifei Chen; Yuxin Du; Jinying Zong; Jie Dong; Mingxuan Liu; Yong Peng 001; Jin Fan; Feiwei Qin; Changmiao Wang (CoRR, 2025)

3D-Telepathy: Reconstructing 3D Objects from EEG Signals. - Yuxiang Ge; Jionghao Cheng; Ruiquan Ge; Zhaojie Fang; Gangyong Jia; Xiang Wan; Nannan Li; Ahmed Elazab; Changmiao Wang (CoRR, 2025)

Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation. - Shenghao Zhu; Yifei Chen; Weihong Chen; Yuanhan Wang; Chang Liu 090; Shuo Jiang; Feiwei Qin; Changmiao Wang (CoRR, 2025)

Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification. - Jianxun Yu; Ruiquan Ge; Zhipeng Wang; Cheng Yang; Chenyu Lin; Xianjun Fu; Jikui Liu; Ahmed Elazab; Changmiao Wang (CoRR, 2025)