Automatic mammogram segmentation and computer aided diagnoses for breast tissue density according to BIRADS dictionary. - Mohamed Abu ElSoud; Ahmed M. Anter (Int. J. Comput. Aided Eng. Technol., 2012)

Automatic Segmentation and Classification of Liver Abnormalities Using Fractal Dimension. - Ahmed M. Anter; Aboul Ella Hassanien; Gerald Schaefer (ACPR, 2013)

Automatic computer aided segmentation for liver and hepatic lesions using hybrid segmentations techniques. - Ahmed M. Anter; Ahmad Taher Azar; Aboul Ella Hassanien; Mohamed Abu ElSoud; Nashwa El-Bendary (FedCSIS, 2013)

Liver CT Image Segmentation with an Optimum Threshold Using Measure of Fuzziness. - Abder-Rahman Ali; Micael S. Couceiro; Ahmed M. Anter; Aboul Ella Hassanien; Mohamed F. Tolba 001; Václav Snásel (IBICA, 2014)

Neutrosophic Sets and Fuzzy C-Means Clustering for Improving CT Liver Image Segmentation. - Ahmed M. Anter; Aboul Ella Hassanien; Mohamed Abu ElSoud; Mohamed F. Tolba 001 (IBICA, 2014)

A Hybrid Approach to Diagnosis of Hepatic Tumors in Computed Tomography Images. - Ahmed M. Anter; Mohamed Abu ElSoud; Ahmad Taher Azar; Aboul Ella Hassanien (Int. J. Rough Sets Data Anal., 2014)

Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm. - Tarek Gaber; Gehad Ismail Sayed; Ahmed M. Anter; Mona M. Soliman; Mona A. S. Ali; Noura A. Semary; Aboul Ella Hassanien; Václav Snásel (EMBC, 2015)

Particle Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT Segmentation. - Abder-Rahman Ali; Micael S. Couceiro; Ahmed M. Anter; Aboul Ella Hassanien (Applications of Intelligent Optimization in Biology and Medicine, 2016)

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)

Computational intelligence optimization approach based on particle swarm optimizer and neutrosophic set for abdominal CT liver tumor segmentation. - Ahmed M. Anter; Aboul Ella Hassenian (J. Comput. Sci., 2018)

E-Health Parkinson Disease Diagnosis in Smart Home Based on Hybrid Intelligence Optimization Model. - Ahmed M. Anter; Zhiguo Zhang 001 (AISI, 2019)

Intelligent Hybrid Approach for Feature Selection. - Ahmed M. Anter; Ahmad Taher Azar; Khaled M. Fouad (AMLTA, 2019)

Adaptive Neuro-Fuzzy Inference System-Based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-State fMRI. - Ahmed M. Anter; Zhiguo Zhang 001 (PRIME@MICCAI, 2019)

CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm. - Ahmed M. Anter; Aboul Ella Hassenian (Artif. Intell. Medicine, 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)

An improved fast fuzzy c-means using crow search optimization algorithm for crop identification in agricultural. - Ahmed M. Anter; Aboul Ella Hassenian; Diego Oliva (Expert Syst. Appl., 2019)

A robust swarm intelligence-based feature selection model for neuro-fuzzy recognition of mild cognitive impairment from resting-state fMRI. - Ahmed M. Anter; Yichen Wei; Jiahui Su; Yueming Yuan; Beiying Lei; Gaoxiong Duan; Wei Mai; Xiucheng Nong; Bihan Yu; Chong Li; Zening Fu; Lihua Zhao; et al. (Inf. Sci., 2019)

Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans. - Ahmed M. Anter; Siddhartha Bhattacharyya; Zhiguo Zhang 001 (Appl. Soft Comput., 2020)

Intelligent system for feature selection based on rough set and chaotic binary grey wolf optimisation. - Ahmad Taher Azar; Ahmed M. Anter; Khaled M. Fouad (Int. J. Comput. Appl. Technol., 2020)

Multi-target QSAR modelling of chemo-genomic data analysis based on Extreme Learning Machine. - Ahmed M. Anter; Yasmine S. Moemen; Ashraf Darwish; Aboul Ella Hassanien (Knowl. Based Syst., 2020)

Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis problems. - Ahmed M. Anter; Mumtaz Ali (Soft Comput., 2020)

A novel parameter estimation in dynamic model via fuzzy swarm intelligence and chaos theory for faults in wastewater treatment plant. - Ahmed M. Anter; Deepak Gupta 002; Oscar Castillo 001 (Soft Comput., 2020)

A New Type of Fuzzy-Rule-Based System With Chaotic Swarm Intelligence for Multiclassification of Pain Perception From fMRI. - Ahmed M. Anter; Gan Huang; Linling Li; Li Zhang 041; Zhen Liang; Zhiguo Zhang 001 (IEEE Trans. Fuzzy Syst., 2020)

AFCM-LSMA: New intelligent model based on Lévy slime mould algorithm and adaptive fuzzy C-means for identification of COVID-19 infection from chest X-ray images. - Ahmed M. Anter; Diego Oliva; Anuradha D. Thakare; Zhiguo Zhang 001 (Adv. Eng. Informatics, 2021)

A Survey on Extending the Lifetime for Wireless Sensor Networks in Real-Time Applications. - Ahmed Hassan; Ahmed M. Anter; Mohammed Kayed (Int. J. Wirel. Inf. Networks, 2021)

Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses. - Qianqian Lin; Gan Huang; Linling Li; Li Zhang 041; Zhen Liang; Ahmed M. Anter; Zhiguo Zhang 001 (NeuroImage, 2021)

A robust clustering approach for extending the lifetime of wireless sensor networks in an optimized manner with a novel fitness function. - Ahmed Hassan; Ahmed M. Anter; Mohammed Kayed (Sustain. Comput. Informatics Syst., 2021)

Real-time epileptic seizure recognition using Bayesian genetic whale optimizer and adaptive machine learning. - Ahmed M. Anter; Mohamed Abd Elaziz 001; Zhiguo Zhang 001 (Future Gener. Comput. Syst., 2022)

QMVO-SCDL: A new regression model for fMRI pain decoding using quantum-behaved sparse dictionary learning. - Ahmed M. Anter; Hany S. Elnashar; Zhiguo Zhang 001 (Knowl. Based Syst., 2022)

A robust intelligence regression model for monitoring Parkinson's disease based on speech signals. - Ahmed M. Anter; Ali Wagdy Mohamed; Min Zhang 005; Zhiguo Zhang 001 (Future Gener. Comput. Syst., 2023)

Seizure disorders recognition model from EEG signals using new probabilistic particle swarm optimizer and sequential differential evolution. - Anuradha D. Thakare; Ahmed M. Anter; Ajith Abraham (Multidimens. Syst. Signal Process., 2023)

RLWOA-SOFL: A New Learning Model-Based Reinforcement Swarm Intelligence and Self-Organizing Deep Fuzzy Rules for fMRI Pain Decoding. - Ahmed M. Anter; Zhiguo Zhang 001 (IEEE Trans. Affect. Comput., 2024)

A robust IoT-based cloud model for COVID-19 prediction using advanced machine learning technique. - Mohamed E. ElAraby; Ahmed A. Ewees; Ahmed M. Anter (Biomed. Signal Process. Control., 2024)

PSOGSA: A parallel implementation model for data clustering using new hybrid swarm intelligence and improved machine learning technique. - Shruti Chaudhari; Anuradha D. Thakare; Ahmed M. Anter (Sustain. Comput. Informatics Syst., 2024)

Improved machine learning technique for feature reduction and its application in spam email detection. - Ahmed A. Ewees; Marwa A. Gaheen; Mohammed M. Alshahrani; Ahmed M. Anter; Fatma Helmy Ismail (J. Intell. Inf. Syst., 2024)

Blockchain-integrated multi-modal LSTM-CNN fusion for high-precision epileptic seizure detection from EEG signals. - Mahmoud O. Mokhiamar; Abdelrahman Mahmoud; Mohamed I. Eldagla; Yassine Aribi; Ahmed M. Anter (Knowl. Based Syst., 2025)