Yunliang Qi

According to our database, Yunliang Qi authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Deep Pulse-Coupled Neural Networks.

Zexiang Yi, Jing Lian, Yunliang Qi, Zhaofei Yu, Huajin Tang, Yide Ma, Jizhao Liu

CoRR, 2024

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., April, 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, February, 2023

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

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

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

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

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

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

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

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

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

2021

Morph_SPCNN model and its application in breast density segmentation.

Yunliang Qi, Zhen Yang, Junqiang Lei, Jing Lian, Jizhao Liu, Wen Feng, Yide Ma

Multim. Tools Appl., 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

A new heterogeneous neural network model and its application in image enhancement.

Yunliang Qi, Zhen Yang, Jing Lian, Yanan Guo, Wenhao Sun, Jizhao Liu, Runze Wang, Yide Ma

Neurocomputing, 2021

A fire-controlled MSPCNN and its applications for image processing.

Jing Lian, Zhen Yang, Wenhao Sun, Li Zheng, Yunliang Qi, Bin Shi, Yide Ma

Neurocomputing, 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

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

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

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

A Pulse-Number-Adjustable MSPCNN and Its Image Enhancement Application.

Jing Lian, Jizhao Liu, Zhen Yang, Yunliang Qi, Huaikun Zhang, Mingxuan Zhang, Yide Ma

IEEE Access, 2021

CAGU-Net: Category Attention Guidance U-Net for Retinal Blood Vessel Segmentation.

Kexin Sun, Yuelan Xin, Yunliang Qi, Meng Lou, Kai Ye, Yinru Ye

Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

2019

Breast density analysis based on glandular tissue segmentation and mixed feature extraction.

Xiaonan Gong, Zhen Yang, Deyuan Wang, Yunliang Qi, Yanan Guo, Yide Ma

Multim. Tools Appl., 2019

Multi-level nested pyramid network for mass segmentation in mammograms.

Runze Wang, Yide Ma, Wenhao Sun, Yanan Guo, Wendao Wang, Yunliang Qi, Xiaonan Gong

Neurocomputing, 2019

2018

Heterogeneous SPCNN and its application in image segmentation.

Zhen Yang, Jing Lian, Shouliang Li, Yanan Guo, Yunliang Qi, Yide Ma

Neurocomputing, 2018