Model Based Ceramic tile inspection using Discrete Wavelet Transform and Euclidean Distance - Samir Elmougy; Ibrahim M. El-Henawy; Ahmed El-Azab (CoRR, 2010)

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)

Low grade glioma growth modeling considering chemotherapy and radiotherapy effects from magnetic resonance images. - Ahmed El-Azab; Hongmin Bai; Xiaodong Zhang 024; Qingmao Hu (EMBC, 2017)

Segmentation of hyper-acute cerebral infarct based on random forest and sparse coding from diffusion weighted imaging. - Xiaodong Zhang 024; Ahmed El-Azab; Qingmao Hu (EMBC, 2017)

A Novel Technique for Robust and Fast Segmentation of Corneal Layer Interfaces Based on Spectral-Domain Optical Coherence Tomography Imaging. - Tianqiao Zhang; Ahmed El-Azab; Xiaogang Wang; Fucang Jia; Jianhuang Wu; Guanglin Li 001; Qingmao Hu (IEEE Access, 2017)

Developing a treatment for neurogenic bladder dysfunction using Model Predictive Control (MPC). - Hesham W. Gomma; Ahmed El-Azab (Biomed. Signal Process. Control., 2017)

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

A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment. - Ahmed El-Azab; Hongmin Bai; Mengya Yang; Qingmao Hu; Minh Hung Le; Tianfu Wang 001; Baiying Lei (EMBC, 2018)

Join and Deep Ensemble Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal and Incomplete Data*. - Mengya Yang; Peng Yang 011; Ahmed El-Azab; Wen Hou; Xia Li 006; Tianfu Wang 001; Wenbin Zou; Baiying Lei (EMBC, 2018)

Longitudinal and multi-modal data learning for Parkinson's disease diagnosis. - Zhongwei Huang; Haijun Lei; Yujia Zhao; Feng Zhou 003; Jin Yan; Ahmed El-Azab; Baiying Lei (ISBI, 2018)

3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis. - Chiyu Feng; Ahmed El-Azab; Peng Yang 011; Tianfu Wang 001; Baiying Lei; Xiaohua Xiao (PRIME@MICCAI, 2018)

Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson's Disease Diagnosis. - Haijun Lei; Zhongwei Huang; Ahmed El-Azab; Hancong Li; Baiying Lei (MLMI@MICCAI, 2018)

Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review. - Ahmed El-Azab; Yousry M. AbdulAzeem; Ahmed M. Anter; Qingmao Hu; Tianfu Wang 001; Baiying Lei (IEEE Access, 2018)

Deeply-learnt damped least-squares (DL-DLS) method for inverse kinematics of snake-like robots. - Olatunji Mumini Omisore; Shipeng Han; Lingxue Ren; Ahmed Elazab; Hui Li 026; Talaat Abdelhamid; Nureni Ayofe Azeez; Lei Wang 029 (Neural Networks, 2018)

A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning. - Haijun Lei; Tao Han; Feng Zhou 003; Zhen Yu; Jing Qin 001; Ahmed El-Azab; Baiying Lei (Pattern Recognit., 2018)

Low Rank Self-calibrated Brain Network Estimation and Autoweighted Centralized Multi-Task Learning for Early Mild Cognitive Impairment Diagnosis. - Nina Cheng; Ahmed El-Azab; Peng Yang 011; Dongdong Liu; Shuangzhi Yu; Tianfu Wang 001; Baiying Lei (EMBC, 2019)

Fully Automatic Pediatric Echocardiography Segmentation Using Deep Convolutional Networks Based on BiSeNet. - Yujin Hu; Libao Guo; Baiying Lei; Muyi Mao; Zelong Jin; Ahmed Elazab; Bei Xia; Tianfu Wang 001 (EMBC, 2019)

Joint and Long Short-Term Memory Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal Data. - Mengya Yang; Ahmed El-Azab; Peng Yang 011; Zaimin Xia; Tianfu Wang 001; Baiying Lei (EMBC, 2019)

Sparse Low-rank Constrained Adaptive Structure Learning using Multi-template for Autism Spectrum Disorder Diagnosis. - Fanglin Huang; Ahmed El-Azab; Le Ou-Yang; Joseph Tan; Tianfu Wang 001; Baiying Lei (ISBI, 2019)

Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis. - Zhongwei Huang; Haijun Lei; Guoliang Chen 005; Shiqi Li; Hancong Li; Ahmed El-Azab; Baiying Lei (CNI@MICCAI, 2019)

Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning. - Haijun Lei; Hancong Li; Ahmed Elazab; Xuegang Song; Zhongwei Huang; Baiying Lei (PRIME@MICCAI, 2019)

Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection. - Shuangzhi Yu; Guanghui Yue 001; Ahmed Elazab; Xuegang Song; Tianfu Wang 001; Baiying Lei (GLMI@MICCAI, 2019)

Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM. - Chiyu Feng; Ahmed El-Azab; Peng Yang 011; Tianfu Wang 001; Feng Zhou 003; Huoyou Hu; Xiaohua Xiao; Baiying Lei (IEEE Access, 2019)

An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects. - Ahmed El-Azab; Ahmed M. Anter; Hongmin Bai; Qingmao Hu; Zakir Hussain; Dong Ni 001; Tianfu Wang 001; Baiying Lei (Appl. Soft Comput., 2019)

Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations. - Haijun Lei; Zhongwei Huang; Feng Zhou 003; Ahmed El-Azab; Ee-Leng Tan; Hancong Li; Jing Qin 001; Baiying Lei (IEEE J. Biomed. Health Informatics, 2019)

Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine. - Haijun Lei; Yuting Wen; Zhuhong You; Ahmed El-Azab; Ee-Leng Tan; Yujia Zhao; Baiying Lei (IEEE J. Biomed. Health Informatics, 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)

Walking Imagery Evaluation Based on Multi-view Features and Stacked Denoising Auto-encoder Network. - Enmin Liang; Ahmed Elazab; Shuang Liang 015; Qiong Wang 001; Tianfu Wang 001; Baiying Lei (ISBI, 2020)

Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory. - Dongdong Liu; Yanwu Xu 001; Ahmed Elazab; Peng Yang 011; Wei Wang 117; Tianfu Wang 001; Baiying Lei (ISBI, 2020)

Classification of Mild Cognitive Impairment Based on a Combined High-Order Network and Graph Convolutional Network. - Xuegang Song; Ahmed Elazab; Yuexin Zhang (IEEE Access, 2020)

Breast Cancer Image Classification via Multi-Network Features and Dual-Network Orthogonal Low-Rank Learning. - Yongjun Wang; Baiying Lei; Ahmed Elazab; Ee-Leng Tan; Wei Wang 117; Fanglin Huang; Xuehao Gong; Tianfu Wang 001 (IEEE Access, 2020)

Question Identification in Arabic Language Using Emotional Based Features. - Ahmed Ramzy; Ahmed Elazab (CoRR, 2020)

Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. - Baiying Lei; Nina Cheng; Alejandro F. Frangi; Ee-Leng Tan; Jiuwen Cao; Peng Yang 011; Ahmed Elazab; Jie Du 001; Yanwu Xu 001; Tianfu Wang 001 (Medical Image Anal., 2020)

Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis. - Baiying Lei; Yujia Zhao; Zhongwei Huang; Xiaoke Hao; Feng Zhou 003; Ahmed Elazab; Jing Qin 001; Haijun Lei (Medical Image Anal., 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)

AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images. - Hai Xie; Haijun Lei; Xianlu Zeng; Yejun He; Guozhen Chen; Ahmed Elazab; Guanghui Yue 001; Jiantao Wang; Guoming Zhang; Baiying Lei (Neural Networks, 2020)

Multiple Self-attention Network for Intracranial Vessel Segmentation. - Yang Li; Jiajia Ni; Ahmed Elazab; Jianhuang Wu (IJCNN, 2021)

TA-Net: Triple attention network for medical image segmentation. - Yang Li; Jun Yang; Jiajia Ni; Ahmed Elazab; Jianhuang Wu (Comput. Biol. Medicine, 2021)

Alzheimer's disease diagnosis framework from incomplete multimodal data using convolutional neural networks. - Mohammed Abdelaziz; Tianfu Wang 001; Ahmed Elazab (J. Biomed. Informatics, 2021)

Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images. - Haijun Lei; Shaomin Liu; Ahmed Elazab; Xuehao Gong; Baiying Lei (IEEE J. Biomed. Health Informatics, 2021)

Novel multi-site graph convolutional network with supervision mechanism for COVID-19 diagnosis from X-ray radiographs. - Ahmed Elazab; Mohamed Abd Elfattah; Yuexin Zhang (Appl. Soft Comput., 2022)

DNL-Net: deformed non-local neural network for blood vessel segmentation. - Jiajia Ni; Jianhuang Wu; Ahmed Elazab; Jing Tong; Zhengming Chen (BMC Medical Imaging, 2022)

Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data. - Zhongwei Huang; Haijun Lei; Guoliang Chen 005; Alejandro F. Frangi; Yanwu Xu 001; Ahmed Elazab; Jing Qin 001; Baiying Lei (IEEE Trans. Neural Networks Learn. Syst., 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)

OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment. - Saghir Alfasly; Zaid Al-Huda; Saifullah Bello; Ahmed Elazab; Jian Lu 002; Chen Xu 004 (CoRR, 2023)

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)

Enhanced 3D Dense U-Net with Two Independent Teachers for Infant Brain Image Segmentation. - Afifa Khaled; Ahmed Elazab (ICPR (12), 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)

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)

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)

OSRE: Object-to-Spot Rotation Estimation for Bike Parking Assessment. - Saghir Alfasly; Zaid Al-Huda; Saifullahi Aminu Bello; Ahmed Elazab; Jian Lu 002; Chen Xu 004 (IEEE Trans. Intell. Transp. Syst., 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)

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)

Multi-scale multimodal deep learning framework for Alzheimer's disease diagnosis. - Mohammed Abdelaziz; Tianfu Wang 001; Waqas Anwaar; Ahmed Elazab (Comput. Biol. Medicine, 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)

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)

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation. - Xinlei Yu; Chanmiao Wang; Hui Jin; Ahmed Elazab; Gangyong Jia; Xiang Wan; Changqing Zou; Ruiquan Ge (CoRR, 2025)

Surgical tooltip localization via concentric nested square markers and depth-RGB multi-coordinate fusion. - Dexun Zhang; Tianqiao Zhang; Ahmed Elazab; Cong Li; Fucang Jia; Huoling Luo (Int. J. Comput. Assist. Radiol. Surg., 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)