Heterogeneous SPCNN and its application in image segmentation. - Zhen Yang; Jing Lian 001; Shouliang Li; Yanan Guo 001; Yunliang Qi; Yide Ma (Neurocomputing, 2018)

Multi-level nested pyramid network for mass segmentation in mammograms. - Runze Wang; Yide Ma; Wenhao Sun; Yanan Guo 001; Wendao Wang; Yunliang Qi; Xiaonan Gong (Neurocomputing, 2019)

Breast density analysis based on glandular tissue segmentation and mixed feature extraction. - Xiaonan Gong; Zhen Yang; Deyuan Wang; Yunliang Qi; Yanan Guo 001; Yide Ma (Multim. Tools Appl., 2019)

CAGU-Net: Category Attention Guidance U-Net for Retinal Blood Vessel Segmentation. - Kexin Sun; Yuelan Xin; Yunliang Qi; Meng Lou; Kai Ye; Yinru Ye (CIS, 2021)

A Pulse-Number-Adjustable MSPCNN and Its Image Enhancement Application. - Jing Lian 001; Jizhao Liu; Zhen Yang; Yunliang Qi; Huaikun Zhang; Mingxuan Zhang; Yide Ma (IEEE Access, 2021)

Adaptive channel and multiscale spatial context network for breast mass segmentation in full-field mammograms. - Wenwei Zhao; Meng Lou; Yunliang Qi; Yiming Wang; Chunbo Xu; Xiangyu Deng; Yide Ma (Appl. Intell., 2021)

Multi-Scale Attention-Guided Network for mammograms classification. - Chunbo Xu; Meng Lou; Yunliang Qi; Yiming Wang; Jiande Pi; Yide Ma (Biomed. Signal Process. Control., 2021)

BASCNet: Bilateral adaptive spatial and channel attention network for breast density classification in the mammogram. - Wenwei Zhao; Runze Wang; Yunliang Qi; Meng Lou; Yiming Wang; Yang Yang; Xiangyu Deng; Yide Ma (Biomed. Signal Process. Control., 2021)

FS-UNet: Mass segmentation in mammograms using an encoder-decoder architecture with feature strengthening. - Jiande Pi; Yunliang Qi; Meng Lou; Xiaorong Li; Yiming Wang; Chunbo Xu; Yide Ma (Comput. Biol. Medicine, 2021)

A fire-controlled MSPCNN and its applications for image processing. - Jing Lian 001; Zhen Yang; Wenhao Sun; Li Zheng; Yunliang Qi; Bin Shi; Yide Ma (Neurocomputing, 2021)

A new heterogeneous neural network model and its application in image enhancement. - Yunliang Qi; Zhen Yang; Jing Lian 001; Yanan Guo 001; Wenhao Sun; Jizhao Liu; Runze Wang; Yide Ma (Neurocomputing, 2021)

MGBN: Convolutional neural networks for automated benign and malignant breast masses classification. - Meng Lou; Runze Wang; Yunliang Qi; Wenwei Zhao; Chunbo Xu; Jie Meng; Xiangyu Deng; Yide Ma (Multim. Tools Appl., 2021)

Morph_SPCNN model and its application in breast density segmentation. - Yunliang Qi; Zhen Yang; Junqiang Lei; Jing Lian 001; Jizhao Liu; Wen Feng; Yide Ma (Multim. Tools Appl., 2021)

ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images. - Chunbo Xu; Yunliang Qi; Yiming Wang; Meng Lou; Jiande Pi; Yide Ma (Biomed. Signal Process. Control., 2022)

A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain. - Zhen Yang; Qingwei Sun; Yunliang Qi; Shouliang Li; Fengyuan Ren (Entropy, 2022)

MCRNet: Multi-level context refinement network for semantic segmentation in breast ultrasound imaging. - Meng Lou; Jie Meng; Yunliang Qi; Xiaorong Li; Yide Ma (Neurocomputing, 2022)

ASU-Net: U-shape adaptive scale network for mass segmentation in mammograms. - Kexin Sun; Yuelan Xin; Yide Ma; Meng Lou; Yunliang Qi; Jie Zhu (J. Intell. Fuzzy Syst., 2022)

Learning multi-frequency features in convolutional network for mammography classification. - Yiming Wang; Yunliang Qi; Chunbo Xu; Meng Lou; Yide Ma (Medical Biol. Eng. Comput., 2022)

Correction to: Learning multi‑frequency features in convolutional network for mammography classification. - Yiming Wang; Yunliang Qi; Chunbo Xu; Meng Lou; Yide Ma (Medical Biol. Eng. Comput., 2022)

Breast density measurement methods on mammograms: a review. - Xiaorong Li; Yunliang Qi; Meng Lou; Wenwei Zhao; Jie Meng; Wenjun Zhang; Yide Ma (Multim. Syst., 2022)

Aggregated pyramid attention network for mass segmentation in mammograms. - Meng Lou; Yunliang Qi; Xiaorong Li; Chunbo Xu; Wenwei Zhao; Xiangyu Deng; Yide Ma (Multim. Tools Appl., 2022)

Unified three-pathway framework for naturalness preservation image enhancement. - Yunliang Qi; Kun Zhan; Meng Lou; Shouliang Li; Zhen Yang; Yide Ma (J. Electronic Imaging, 2023)

ATFE-Net: Axial Transformer and Feature Enhancement-based CNN for ultrasound breast mass segmentation. - Zhou Ma; Yunliang Qi; Chunbo Xu; Wei Zhao; Meng Lou; Yiming Wang; Yide Ma (Comput. Biol. Medicine, 2023)

Multi-level feature fusion network for nuclei segmentation in digital histopathological images. - Xiaorong Li; Jiande Pi; Meng Lou; Yunliang Qi; Sizheng Li; Jie Meng; Yide Ma (Vis. Comput., 2023)

Deep Pulse-Coupled Neural Networks. - Zexiang Yi; Jing Lian 001; Yunliang Qi; Zhaofei Yu; Huajin Tang; Yide Ma; Jizhao Liu (CoRR, 2024)

A multi-channel neural network model for multi-focus image fusion. - Yunliang Qi; Zhen Yang; Xiangyu Lu; Shouliang Li; Yide Ma (Expert Syst. Appl., 2024)

Advancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Survey. - Yunliang Qi; Meng Lou; Yimin Liu; Lu Li; Zhen Yang; Wen Nie (CoRR, 2025)