| Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies H Chen, AA Heidari, H Chen, M Wang, Z Pan, AH Gandomi Future Generation Computer Systems 111, 175-198, 2020 | 326 | 2020 |
| Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection J Hu, H Chen, AA Heidari, M Wang, X Zhang, Y Chen, Z Pan Knowledge-Based Systems 213, 106684, 2021 | 287 | 2021 |
| Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy Z Cai, J Gu, J Luo, Q Zhang, H Chen, Z Pan, Y Li, C Li Expert Systems with Applications 138, 112814, 2019 | 213 | 2019 |
| Diagnosis of benign and malignant breast lesions on DCE‐MRI by using radiomics and deep learning with consideration of peritumor tissue J Zhou, Y Zhang, KT Chang, KE Lee, O Wang, J Li, Y Lin, Z Pan, P Chang, ... Journal of Magnetic Resonance Imaging 51 (3), 798-809, 2020 | 163 | 2020 |
| Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection J Hu, W Gui, AA Heidari, Z Cai, G Liang, H Chen, Z Pan Knowledge-Based Systems 237, 107761, 2022 | 137 | 2022 |
| Boosting whale optimization with evolution strategy and Gaussian random walks: An image segmentation method AG Hussien, AA Heidari, X Ye, G Liang, H Chen, Z Pan Engineering with Computers 39 (3), 1935-1979, 2023 | 98 | 2023 |
| Semi-supervised automatic segmentation of layer and fluid region in retinal optical coherence tomography images using adversarial learning X Liu, J Cao, T Fu, Z Pan, W Hu, K Zhang, J Liu IEEE Access 7, 3046-3061, 2018 | 85 | 2018 |
| Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection Y Liu, AA Heidari, Z Cai, G Liang, H Chen, Z Pan, A Alsufyani, S Bourouis Neurocomputing 503, 325-362, 2022 | 83 | 2022 |
| Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm J Xia, D Yang, H Zhou, Y Chen, H Zhang, T Liu, AA Heidari, H Chen, ... Computers in Biology and Medicine 141, 105137, 2022 | 73 | 2022 |
| Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation L Liu, D Zhao, F Yu, AA Heidari, J Ru, H Chen, M Mafarja, H Turabieh, ... Computers in Biology and Medicine 138, 104910, 2021 | 73 | 2021 |
| Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems H Zhang, T Liu, X Ye, AA Heidari, G Liang, H Chen, Z Pan Engineering with Computers 39 (3), 1735-1769, 2023 | 70 | 2023 |
| Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis J Xia, Z Wang, D Yang, R Li, G Liang, H Chen, AA Heidari, H Turabieh, ... Computers in Biology and Medicine 143, 105206, 2022 | 68 | 2022 |
| RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields G Chen, Q Li, F Shi, I Rekik, Z Pan NeuroImage 211, 116620, 2020 | 58 | 2020 |
| Multimodal MR image synthesis using gradient prior and adversarial learning X Liu, A Yu, X Wei, Z Pan, J Tang IEEE Journal of Selected Topics in Signal Processing 14 (6), 1176-1188, 2020 | 57 | 2020 |
| Automated layer segmentation of retinal optical coherence tomography images using a deep feature enhanced structured random forests classifier X Liu, T Fu, Z Pan, D Liu, W Hu, J Liu, K Zhang IEEE journal of biomedical and health informatics 23 (4), 1404-1416, 2018 | 51 | 2018 |
| Improved wavelet threshold for image de-noising Y Zhang, W Ding, Z Pan, J Qin Frontiers in neuroscience 13, 39, 2019 | 44 | 2019 |
| Chaotic diffusion‐limited aggregation enhanced grey wolf optimizer: insights, analysis, binarization, and feature selection J Hu, AA Heidari, L Zhang, X Xue, W Gui, H Chen, Z Pan International Journal of Intelligent Systems 37 (8), 4864-4927, 2022 | 40 | 2022 |
| Gaussian kernel probability-driven slime mould algorithm with new movement mechanism for multi-level image segmentation L Ren, AA Heidari, Z Cai, Q Shao, G Liang, HL Chen, Z Pan Measurement 192, 110884, 2022 | 39 | 2022 |
| Dense-residual network with adversarial learning for skin lesion segmentation W Tu, X Liu, W Hu, Z Pan IEEE Access 7, 77037-77051, 2019 | 36 | 2019 |
| MTANS: multi-scale mean teacher combined adversarial network with shape-aware embedding for semi-supervised brain lesion segmentation G Chen, J Ru, Y Zhou, I Rekik, Z Pan, X Liu, Y Lin, B Lu, J Shi NeuroImage 244, 118568, 2021 | 33 | 2021 |
