An Efficient and Effective Automatic Recognition System for Online Recognition of Foreign Fibers in Cotton. - Xuehua Zhao; Daoliang Li; Bo Yang 002; Shuangyin Liu; Zhifang Pan; Huiling Chen 001 (IEEE Access, 2016)

Semi-Supervised Automatic Layer and Fluid Region Segmentation of Retinal Optical Coherence Tomography Images Using Adversarial Learning. - Xiaoming Liu 004; Tianyu Fu 002; Zhifang Pan; Dong Liu 024; Wei Hu 001; Bo Li 002 (ICIP, 2018)

Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network. - Xiaoming Liu 004; Xiangkai Wei; Aihui Yu; Zhifang Pan (ACML, 2019)

Segmentation of Lesion in Dermoscopy Images Using Dense-Residual Network with Adversarial Learning. - Wenli Tu; Xiaoming Liu 004; Wei Hu 001; Zhifang Pan; Xin Xu 007; Bo Li 002 (ICIP, 2019)

Semi-Supervised Automatic Segmentation of Layer and Fluid Region in Retinal Optical Coherence Tomography Images Using Adversarial Learning. - Xiaoming Liu 004; Jun Cao; Tianyu Fu 002; Zhifang Pan; Wei Hu 001; Kai Zhang 002; Jun Liu 011 (IEEE Access, 2019)

Dense-Residual Network With Adversarial Learning for Skin Lesion Segmentation. - Wenli Tu; Xiaoming Liu 004; Wei Hu 001; Zhifang Pan (IEEE Access, 2019)

Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy. - Zhennao Cai; Jianhua Gu; Jie Luo 002; Qian Zhang 049; Huiling Chen 001; Zhifang Pan; Yuping Li; Chengye Li (Expert Syst. Appl., 2019)

An analytic computation-driven algorithm for Decentralized Multicore Systems. - Yezhi Lin; Xinyuan Jin; Jiuqiang Chen; Ali Hassan Sodhro; Zhifang Pan (Future Gener. Comput. Syst., 2019)

An Active Learning Framework for Alpha Matting. - Yang Shen; Pengjie Wang 001; Zhifang Pan; Yanxia Bao (Int. J. Pattern Recognit. Artif. Intell., 2019)

Shortest path with backtracking based automatic layer segmentation in pathological retinal optical coherence tomography images. - Xiaoming Liu 004; Dong Liu 024; Tianyu Fu 002; Zhifang Pan; Wei Hu 001; Kai Zhang 002 (Multim. Tools Appl., 2019)

Automated Layer Segmentation of Retinal Optical Coherence Tomography Images Using a Deep Feature Enhanced Structured Random Forests Classifier. - Xiaoming Liu 004; Tianyu Fu 002; Zhifang Pan; Dong Liu 024; Wei Hu 001; Jun Liu 011; Kai Zhang 002 (IEEE J. Biomed. Health Informatics, 2019)

Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies. - Hao Chen; Ali Asghar Heidari; Huiling Chen 001; Mingjing Wang; Zhifang Pan; Amir H. Gandomi (Future Gener. Comput. Syst., 2020)

Multimodal MR Image Synthesis Using Gradient Prior and Adversarial Learning. - Xiaoming Liu 004; Aihui Yu; Xiangkai Wei; Zhifang Pan; Jinshan Tang (IEEE J. Sel. Top. Signal Process., 2020)

RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields. - Gaoxiang Chen; Qun Li; Fuqian Shi; Islem Rekik; Zhifang Pan (NeuroImage, 2020)

Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation. - Lei Liu 048; Dong Zhao; Fanhua Yu; Ali Asghar Heidari; Jintao Ru; Huiling Chen 001; Majdi M. Mafarja; Hamza Turabieh; Zhifang Pan (Comput. Biol. Medicine, 2021)

MFeature: Towards high performance evolutionary tools for feature selection. - Yueting Xu; Hui Huang 018; Ali Asghar Heidari; Wenyong Gui; Xiaojia Ye; Ying Chen 023; Huiling Chen 001; Zhifang Pan (Expert Syst. Appl., 2021)

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection. - Jiao Hu; Huiling Chen 001; Ali Asghar Heidari; Mingjing Wang; Xiaoqin Zhang 002; Ying Chen 023; Zhifang Pan (Knowl. Based Syst., 2021)

MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation. - Gaoxiang Chen; Jintao Ru; Yilin Zhou; Islem Rekik; Zhifang Pan; Xiaoming Liu 004; Yezhi Lin; Beichen Lu; Jialin Shi (NeuroImage, 2021)

Chaotic simulated annealing multi-verse optimization enhanced kernel extreme learning machine for medical diagnosis. - Jiacong Liu; Jiahui Wei; Ali Asghar Heidari; Fangjun Kuang; Siyang Zhang; Wenyong Gui; Huiling Chen 001; Zhifang Pan (Comput. Biol. Medicine, 2022)

Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis. - Jianfu Xia; Zhifei Wang; Daqing Yang; Rizeng Li; Guoxi Liang; Huiling Chen 001; Ali Asghar Heidari; Hamza Turabieh; Majdi M. Mafarja; Zhifang Pan (Comput. Biol. Medicine, 2022)

Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm. - Jianfu Xia; Daqing Yang; Hong Zhou; Yuyan Chen; Hongliang Zhang 002; Tong Liu; Ali Asghar Heidari; Huiling Chen 001; Zhifang Pan (Comput. Biol. Medicine, 2022)

Chaotic diffusion-limited aggregation enhanced grey wolf optimizer: Insights, analysis, binarization, and feature selection. - Jiao Hu; Ali Asghar Heidari; Lejun Zhang; Xiao Xue; Wenyong Gui; Huiling Chen 001; Zhifang Pan (Int. J. Intell. Syst., 2022)

Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection. - Yun Liu; Ali Asghar Heidari; Zhennao Cai; Guoxi Liang; Huiling Chen 001; Zhifang Pan; Abdulmajeed Alsufyani; Sami Bourouis (Neurocomputing, 2022)

Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection. - Jiao Hu; Wenyong Gui; Ali Asghar Heidari; Zhennao Cai; Guoxi Liang; Huiling Chen 001; Zhifang Pan (Knowl. Based Syst., 2022)

Enhanced Gaussian bare-bones grasshopper optimization: Mitigating the performance concerns for feature selection. - Zhangze Xu; Ali Asghar Heidari; Fangjun Kuang; Ashraf Khalil; Majdi M. Mafarja; Siyang Zhang; Huiling Chen 001; Zhifang Pan (Expert Syst. Appl., 2023)

Boosting whale optimization with evolution strategy and Gaussian random walks: an image segmentation method. - Abdelazim G. Hussien; Ali Asghar Heidari; Xiaojia Ye; Guoxi Liang; Huiling Chen 001; Zhifang Pan (Eng. Comput., 2023)

Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems. - Hongliang Zhang 002; Tong Liu; Xiaojia Ye; Ali Asghar Heidari; Guoxi Liang; Huiling Chen 001; Zhifang Pan (Eng. Comput., 2023)

Attention guided neural ODE network for breast tumor segmentation in medical images. - Jintao Ru; Beichen Lu; Buran Chen; Jialin Shi; Gaoxiang Chen; Meihao Wang; Zhifang Pan; Yezhi Lin; Zhihong Gao; Jiejie Zhou; Xiaoming Liu 004; Chen Zhang (Comput. Biol. Medicine, 2023)

An enhanced grey wolf optimizer boosted machine learning prediction model for patient-flow prediction. - Xiang Zhang; Bin Lu; Lyuzheng Zhang; Zhifang Pan; Minjie Liao; Huihui Shen; Li Zhang; Lei Liu 048; Zuxiang Li; YiPao Hu; Zhihong Gao (Comput. Biol. Medicine, 2023)

Mechanism of balloon burst during transcatheter aortic valve replacement pre-dilatation: Image observation and validation by finite element analysis. - Xinmin Zhang; Haozhe Wu; Zhifang Pan; Ahmed Elkoumy; Zhisheng Ruan; Tianbo Wu; Daozhu Wu; Osama Soliman; Lianpin Wu; Xinlei Wu (Comput. Biol. Medicine, 2024)

Attention Based Cross-Domain Synthesis and Segmentation From Unpaired Medical Images. - Xiaoming Liu 004; Jingling Pan; Xiao Li; Xiangkai Wei; Zhipeng Liu; Zhifang Pan; Jinshan Tang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)