Contourlet HMT model with directional feature. - Xiang-Hai Wang 001; Mingying Chen; Chuanming Song 001; Mengchun Xu; Lingling Fang (Sci. China Inf. Sci., 2012)

A total variation model based on edge adaptive guiding function for remote sensing image de-noising. - Xiang-Hai Wang 001; Yingnan Liu; Hongwei Zhang; Lingling Fang (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Image segmentation model based on adaptive adjustment of global and local information. - Xiang-Hai Wang 001; Ruoxi Song; Chong Zhang; Chang Li; Lingling Fang (Int. J. Imaging Syst. Technol., 2016)

Remote sensing image segmentation using active contours based on intercorrelation of nonsubsampled contourlet coefficients. - Lingling Fang; Xiang-Hai Wang 001; Yang Sun; Kainan Xu (J. Electronic Imaging, 2016)

Adaptable active contour model with applications to infrared ship target segmentation. - Lingling Fang; Xiang-Hai Wang 001; Yu Wan 005 (J. Electronic Imaging, 2016)

A multi-object image segmentation C-V model based on region division and gradient guide. - Xiang-Hai Wang 001; Yu Wan 005; Rui Li; Jinling Wang 001; Lingling Fang (J. Vis. Commun. Image Represent., 2016)

Lane Boundary Detection Algorithm Based on Vector Fuzzy Connectedness. - Lingling Fang; Xiang-Hai Wang 001 (Cogn. Comput., 2017)

Active contour model driven by global and local intensity information for ultrasound image segmentation. - Lingling Fang; Tianshuang Qiu; Yin Liu; Chaofeng Chen (Comput. Math. Appl., 2018)

A hybrid active contour model based on global and local information for medical image segmentation. - Lingling Fang; Tianshuang Qiu; Hongyang Zhao; Fang Lv (Multidimens. Syst. Signal Process., 2019)

An image segmentation technique using nonsubsampled contourlet transform and active contours. - Lingling Fang (Soft Comput., 2019)

Image classification with an RGB-channel nonsubsampled contourlet transform and a convolutional neural network. - Lingling Fang; Hanyu Zhang; Jiaxin Zhou; XiangHai Wang 001 (Neurocomputing, 2020)

Multi-modal medical image segmentation based on vector-valued active contour models. - Lingling Fang; Xin Wang 099; Lujie Wang (Inf. Sci., 2020)

A hybrid active contour model for ultrasound image segmentation. - Lingling Fang; Xiaohang Pan; Yibo Yao; Lirong Zhang; Dongmei Guo (Soft Comput., 2020)

COVID-19 deep classification network based on convolution and deconvolution local enhancement. - Lingling Fang; Xin Wang 099 (Comput. Biol. Medicine, 2021)

Integrating a learned probabilistic model with energy functional for ultrasound image segmentation. - Lingling Fang; Lirong Zhang; Yibo Yao (Medical Biol. Eng. Comput., 2021)

Retina blood vessels segmentation based on the combination of the supervised and unsupervised methods. - Lingling Fang; Lirong Zhang; Yibo Yao (Multidimens. Syst. Signal Process., 2021)

Superpixel/voxel medical image segmentation algorithm based on the regional interlinked value. - Lingling Fang; Xin Wang 099; Mengyi Wang (Pattern Anal. Appl., 2021)

Cerebral hemorrhage segmentation with energy functional based on anatomy theory. - Lingling Fang; Yumeng Jiang; Xinping Ren (Biomed. Signal Process. Control., 2022)

Diabetic retinopathy classification using a novel DAG network based on multi-feature of fundus images. - Lingling Fang; Huan Qiao (Biomed. Signal Process. Control., 2022)

ISW-LM: An intensive symptom weight learning mechanism for early COVID-19 diagnosis. - Lingling Fang; Xiyue Liang (Comput. Biol. Medicine, 2022)

Energy functional driven by multiple features for brain lesion segmentation. - Lingling Fang; Yibo Yao; Lirong Zhang; Xin Wang; Qile Zhang (Multim. Tools Appl., 2022)

Segmentation of the optic disc and optic cup using a machine learning-based biregional contour evolution model for the cup-to-disc ratio. - Lingling Fang; Lirong Zhang (Multim. Tools Appl., 2022)

Ultrasound image segmentation using an active contour model and learning-structured inference. - Lingling Fang; Lirong Zhang; Yibo Yao; Le Chen (Multim. Tools Appl., 2022)

Brain tumor segmentation based on the dual-path network of multi-modal MRI images. - Lingling Fang; Xin Wang (Pattern Recognit., 2022)

Supervoxel-based brain tumor segmentation with multimodal MRI images. - Lingling Fang; Xin Wang; Ziyi Lian; Yibo Yao; Yanchao Zhang (Signal Image Video Process., 2022)

Integrated vector-valued active contour model for image segmentation. - Lingling Fang; Xin Wang 099; Minqing Zhao (Signal Image Video Process., 2022)

Multi-input Unet model based on the integrated block and the aggregation connection for MRI brain tumor segmentation. - Lingling Fang; Xin Wang (Biomed. Signal Process. Control., 2023)

Dual-stream parallel model of cartilage injury diagnosis based on local centroid optimization. - Lingling Fang; Xin Wang (Biomed. Signal Process. Control., 2023)

Glaucoma multi-classification using the novel syndrome mechanism-based dual-channel network. - Lingling Fang; Huan Qiao (Biomed. Signal Process. Control., 2023)

New binary archimedes optimization algorithm and its application. - Lingling Fang; Yutong Yao; Xiyue Liang (Expert Syst. Appl., 2023)

A novel DAG network based on multi-feature fusion of fundus images for multi-classification of diabetic retinopathy. - Lingling Fang; Huan Qiao (Multim. Tools Appl., 2023)

LP-DWLA-ViT: Light-Patch and Dynamic window local attention Vision Transformer network for Alzheimer's disease classification. - Bo Liu; Haozhen Xiang; Lingling Fang (IJCNN, 2024)

Dual path sub-type diagnostic model based on the anatomic morphological feature. - Lingling Fang; Yumeng Jiang (Biomed. Signal Process. Control., 2024)

AOFNet: A novel cerebral hemorrhage segmentation network based on anatomical-omics feature. - Lingling Fang; Yumeng Jiang; Kaining Zhu; Yang Liu 364 (Biomed. Signal Process. Control., 2024)

Dual path parallel hierarchical diagnosis model for intracranial tumors based on multi-feature entropy weight. - Lingling Fang; Yumeng Jiang (Comput. Biol. Medicine, 2024)

Dual-path parallel hierarchical diagnostic model of glioma based on pathomorphological feature. - Lingling Fang; Yumeng Jiang (Biomed. Signal Process. Control., 2024)

Cerebral hemorrhage extraction with modified shuffled frog leaping algorithm based on the blood clot clustering. - Lingling Fang; Yumeng Jiang (Multim. Tools Appl., 2024)

Image segmentation using a novel dual active contour model. - Lingling Fang; Xiyue Liang; Chang Xu; Qian Wang (Multim. Tools Appl., 2024)

Ultrasound COVID-19 Classification Based on the Novel Module-Based Dual-Path Network. - Lingling Fang; Xin Wang (IEEE Trans. Artif. Intell., 2024)

Retinal multi-disease classification using the varices feature-based dual-channel network. - Lingling Fang; Huan Qiao (Multim. Tools Appl., 2024)

Brain tumor segmentation algorithm based on pathology topological merging. - Deshan Liu; Yanchao Zhang; Xin Wang; Yumeng Jiang; Hongkai Wang; Lingling Fang (Multim. Tools Appl., 2024)

3D brain tumor segmentation based on a novel nettree merging. - Lingling Fang; Yongcheng Yu; Shihao Zhang; Yanchao Zhang (Comput. Biol. Medicine, 2025)

SSDCL: Semi-Supervised Denoising-Aware Contrastive Learning for Time Series Anomaly Detection in Cyber-Physical Systems. - Jiyu Tian; Mingchu Li; Lingling Fang; Li-Ming Chen 005 (IEEE Trans. Inf. Forensics Secur., 2025)