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ORCIDYunliang Qi
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- affiliation: Lanzhou University, Gansu, China
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2020 – today
- 2024
[j24]Yunliang Qi
, Zhen Yang, Xiangyu Lu, Shouliang Li, Yide Ma:
A multi-channel neural network model for multi-focus image fusion. Expert Syst. Appl. 247: 123244 (2024)- [i1]Zexiang Yi, Jing Lian, Yunliang Qi, Zhaofei Yu, Huajin Tang, Yide Ma, Jizhao Liu:
Deep Pulse-Coupled Neural Networks. CoRR abs/2401.08649 (2024) - 2023
- [j23]Zhou Ma, Yunliang Qi, Chunbo Xu, Wei Zhao, Meng Lou, Yiming Wang, Yide Ma:
ATFE-Net: Axial Transformer and Feature Enhancement-based CNN for ultrasound breast mass segmentation. Comput. Biol. Medicine 153: 106533 (2023) - [j22]Yunliang Qi, Kun Zhan, Meng Lou, Shouliang Li, Zhen Yang, Yide Ma:
Unified three-pathway framework for naturalness preservation image enhancement. J. Electronic Imaging 32(1) (2023) - [j21]Xiaorong Li, Jiande Pi, Meng Lou, Yunliang Qi, Sizheng Li, Jie Meng, Yide Ma:
Multi-level feature fusion network for nuclei segmentation in digital histopathological images. Vis. Comput. 39(4): 1307-1322 (2023) - 2022
- [j20]Chunbo Xu, Yunliang Qi, Yiming Wang, Meng Lou, Jiande Pi, Yide Ma:
ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images. Biomed. Signal Process. Control. 71(Part): 103178 (2022) - [j19]Zhen Yang, Qingwei Sun, Yunliang Qi, Shouliang Li, Fengyuan Ren:
A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain. Entropy 24(10): 1486 (2022) - [j18]Meng Lou, Jie Meng, Yunliang Qi, Xiaorong Li, Yide Ma:
MCRNet: Multi-level context refinement network for semantic segmentation in breast ultrasound imaging. Neurocomputing 470: 154-169 (2022) - [j17]Kexin Sun, Yuelan Xin, Yide Ma, Meng Lou, Yunliang Qi, Jie Zhu:
ASU-Net: U-shape adaptive scale network for mass segmentation in mammograms. J. Intell. Fuzzy Syst. 42(4): 4205-4220 (2022) - [j16]Yiming Wang, Yunliang Qi, Chunbo Xu, Meng Lou, Yide Ma:
Learning multi-frequency features in convolutional network for mammography classification. Medical Biol. Eng. Comput. 60(7): 2051-2062 (2022) - [j15]Yiming Wang, Yunliang Qi, Chunbo Xu, Meng Lou, Yide Ma:
Correction to: Learning multi‑frequency features in convolutional network for mammography classification. Medical Biol. Eng. Comput. 60(7): 2063 (2022) - [j14]Xiaorong Li, Yunliang Qi, Meng Lou, Wenwei Zhao, Jie Meng, Wenjun Zhang, Yide Ma:
Breast density measurement methods on mammograms: a review. Multim. Syst. 28(6): 2367-2390 (2022) - [j13]Meng Lou, Yunliang Qi, Xiaorong Li, Chunbo Xu, Wenwei Zhao, Xiangyu Deng, Yide Ma:
Aggregated pyramid attention network for mass segmentation in mammograms. Multim. Tools Appl. 81(10): 13335-13353 (2022) - 2021
- [j12]Jing Lian, Jizhao Liu, Zhen Yang, Yunliang Qi, Huaikun Zhang, Mingxuan Zhang, Yide Ma:
A Pulse-Number-Adjustable MSPCNN and Its Image Enhancement Application. IEEE Access 9: 161069-161086 (2021) - [j11]Wenwei Zhao, Meng Lou, Yunliang Qi, Yiming Wang, Chunbo Xu, Xiangyu Deng, Yide Ma:
Adaptive channel and multiscale spatial context network for breast mass segmentation in full-field mammograms. Appl. Intell. 51(12): 8810-8827 (2021) - [j10]Chunbo Xu, Meng Lou, Yunliang Qi, Yiming Wang, Jiande Pi, Yide Ma:
Multi-Scale Attention-Guided Network for mammograms classification. Biomed. Signal Process. Control. 68: 102730 (2021) - [j9]Wenwei Zhao, Runze Wang, Yunliang Qi, Meng Lou, Yiming Wang, Yang Yang, Xiangyu Deng, Yide Ma:
BASCNet: Bilateral adaptive spatial and channel attention network for breast density classification in the mammogram. Biomed. Signal Process. Control. 70: 103073 (2021) - [j8]Jiande Pi, Yunliang Qi, Meng Lou, Xiaorong Li, Yiming Wang, Chunbo Xu, Yide Ma:
FS-UNet: Mass segmentation in mammograms using an encoder-decoder architecture with feature strengthening. Comput. Biol. Medicine 137: 104800 (2021) - [j7]Jing Lian, Zhen Yang, Wenhao Sun, Li Zheng, Yunliang Qi, Bin Shi, Yide Ma:
A fire-controlled MSPCNN and its applications for image processing. Neurocomputing 422: 150-164 (2021) - [j6]Yunliang Qi, Zhen Yang, Jing Lian, Yanan Guo, Wenhao Sun, Jizhao Liu, Runze Wang, Yide Ma:
A new heterogeneous neural network model and its application in image enhancement. Neurocomputing 440: 336-350 (2021) - [j5]Yunliang Qi, Zhen Yang, Junqiang Lei, Jing Lian, Jizhao Liu, Wen Feng, Yide Ma:
Morph_SPCNN model and its application in breast density segmentation. Multim. Tools Appl. 80(2): 2821-2845 (2021) - [j4]Meng Lou, Runze Wang, Yunliang Qi, Wenwei Zhao, Chunbo Xu, Jie Meng, Xiangyu Deng, Yide Ma:
MGBN: Convolutional neural networks for automated benign and malignant breast masses classification. Multim. Tools Appl. 80(17): 26731-26750 (2021) - [c1]Kexin Sun, Yuelan Xin, Yunliang Qi, Meng Lou, Kai Ye, Yinru Ye:
CAGU-Net: Category Attention Guidance U-Net for Retinal Blood Vessel Segmentation. CIS 2021: 151-155
2010 – 2019
- 2019
- [j3]Runze Wang, Yide Ma, Wenhao Sun, Yanan Guo, Wendao Wang, Yunliang Qi, Xiaonan Gong:
Multi-level nested pyramid network for mass segmentation in mammograms. Neurocomputing 363: 313-320 (2019) - [j2]Xiaonan Gong, Zhen Yang, Deyuan Wang, Yunliang Qi, Yanan Guo, Yide Ma:
Breast density analysis based on glandular tissue segmentation and mixed feature extraction. Multim. Tools Appl. 78(22): 31185-31214 (2019) - 2018
- [j1]Zhen Yang, Jing Lian, Shouliang Li, Yanan Guo, Yunliang Qi, Yide Ma:
Heterogeneous SPCNN and its application in image segmentation. Neurocomputing 285: 196-203 (2018)
Coauthor Index
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