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Huiqin Jiang
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Publications
- 2025
- [c25]Haowen Zhu, Shaolong Zhou
, Minghui Chen
, Lei Yang
, Xin Zhao
, Huiqin Jiang
, Ling Ma
:
FGFENet: Fine-Grained Feature Enhancement Network for Brain Tumor Segmentation. ACPR (1) 2025: 60-72 - [c24]Minghui Chen, Lei Yang, Haowen Zhu, Guohua Zhao, Xinjun Wang, Huiqin Jiang, Ling Ma:
GLC-TFNet: Global-Local Collaboration and Task-Driven Fusion Network for Glioma Segmentation in Multi-Modal MRIs. BIBM 2025: 833-838 - 2024
- [j19]Lei Yang, Sen Mei, Pan Liang, Yan Li
, Ling Ma, Jianbo Gao
, Huiqin Jiang:
A 3D prediction model for benign or malignant of pulmonary nodules based on neural architecture search. Signal Image Video Process. 18(1): 843-852 (2024) - [c21]Ge Wang
, Huiqin Jiang
, Ling Ma
, Lei Yang
, Jianbo Gao
, Yaojun Jiang
:
GLCFANet: Liver Tumor Segmentation with Global and Local Information Cross-Fusion Attention. ISAIMS 2024: 59-65 - [c20]Huiru Ming, Lei Yang, Minghui Chen, Suya Han, Hongwei Xu, Ling Ma, Xin Zhao, Huiqin Jiang:
A Multi-Modal and Multi-View Fusion Network for BI-RADS Five-Classification of Breast Tumors. ISBI 2024: 1-5 - 2023
- [j17]Yuanyuan Wang, Ling Ma
, Lihua Jian, Huiqin Jiang:
Conductive particle detection via efficient encoder-decoder network. J. Intell. Manuf. 34(8): 3563-3577 (2023) - [j16]Kang Li
, Suya Han
, Lei Yang
, Zizhao Sun
, Zhan Yu
, Hongwei Xu
, Ling Ma
, Jianbo Gao
, Huiqin Jiang
:
MSA-GCN: A Multi-information Selection Aggregation Graph Convolutional Network for Breast Tumor Grading. IEEE J. Biomed. Health Informatics 27(12): 5994-6005 (2023) - [c19]Ning Li, Minghui Chen, Guohua Zhao, Lei Yang, Ling Ma, Jingliang Cheng, Huiqin Jiang:
ABFNet: Attention Bottlenecks Fusion Network for Multimodal Brain Tumor Segmentation. ACPR (2) 2023: 312-325 - 2022
- [j14]Yuanyuan Wang, Ling Ma
, Lihua Jian, Chengshuai Fan
, Zhipeng Zhang, Huiqin Jiang:
Multi-scale deep adversarial network for particle detection in liquid crystal module. Appl. Soft Comput. 116: 108326 (2022) - [j12]Lihua Jian
, Rakiba Rayhana
, Ling Ma
, Shaowu Wu, Zheng Liu
, Huiqin Jiang
:
Infrared and Visible Image Fusion Based on Deep Decomposition Network and Saliency Analysis. IEEE Trans. Multim. 24: 3314-3326 (2022) - [c17]Zizhao Sun, Huiqin Jiang, Ling Ma, Zhan Yu, Hongwei Xu:
Transformer Based Multi-view Network for Mammographic Image Classification. MICCAI (3) 2022: 46-54 - [c16]Conghui Ma, Huiqin Jiang, Ling Ma, Yuan Chang:
A Real-Time Polyp Detection Framework for Colonoscopy Video. PRCV (1) 2022: 267-278 - 2021
- [c14]Sen Mei, Huiqin Jiang, Ling Ma:
YOLO-lung: A Practical Detector Based on Imporved YOLOv4 for Pulmonary Nodule Detection. CISP-BMEI 2021: 1-6 - [c13]Zhipeng Zhang, Ling Ma, Yuan Chang, Li Xiao, Qing He, Conghui Ma, Huiqin Jiang:
A Practical Polyp Detecting Model in Colonoscopy Video by Post-processing. CISP-BMEI 2021: 1-6 - [c12]Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. IJCAI 2021: 2235-2241 - [c11]Yuanyuan Wang, Ling Ma, Lihua Jian, Huiqin Jiang:
Efficient and Real-Time Particle Detection via Encoder-Decoder Network. PRCV (4) 2021: 214-226 - [c10]Zhipeng Zhang, Li Xiao, Fuzhen Zhuang, Ling Ma, Yuan Chang, Yuanyuan Wang, Huiqin Jiang, Qing He:
An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training. PRCV (4) 2021: 536-547 - [i1]Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. CoRR abs/2106.08732 (2021) - 2020
- [j10]Yuanyuan Wang
, Ling Ma, Mingyuan Jiu, Huiqin Jiang:
Detection of Conductive Particles in TFT-LCD Circuit Using Generative Adversarial Networks. IEEE Access 8: 101338-101350 (2020) - 2019
- [c9]Qian Yang, Huiqin Jiang, Ling Ma, Xiaozhen Du, Jianbo Gao
:
A Pulmonary Nodule Detection Algorithm Based on Low Dose CT Images. ISICDM 2019: 239-243 - 2018
- [c8]Qinggong Zeng, Huiqin Jiang, Ling Ma:
Learning Multi-Level Features for Breast Mass Detection. ISICDM 2018: 16-20 - [c7]Yan Zhang, Huiqin Jiang, Ling Ma:
Blood Vessel Segmentation Based on Digital Subtraction Angiography Sequence. SMC 2018: 2049-2054 - 2016
- [c6]Aguan Zhang, Huiqin Jiang, Ling Ma, Yumin Liu, Xiaopeng Yang:
A Shearlet-based algorithm for quantum noise removal in low-dose CT images. Image Processing 2016: 97843O - 2014
- [c5]Huiqin Jiang, Yunyi Zhang, Ling Ma, Xiaopeng Yang, Yumin Liu:
A Shearlet-Based Filter for Low-Dose Mammography. Digital Mammography / IWDM 2014: 707-714 - 2013
- [c4]Ling Ma, Wei Liu, Yumin Liu, Huiqin Jiang:
An Automatic Detection Algorithm for Surface Defects in TFT-LCD. ACPR 2013: 847-851 - 2012
- [c1]Huiqin Jiang, Wenxing Li, Zhongyong Wang, Yumin Liu, Ling Ma:
A Medical Image Clear Vision Technique for Soft Copy Reading. CCPR 2012: 376-384 - 2006
- [j2]Huiqin Jiang, Ling Ma, Hongyu Jiang, Akira Rinoshika:
Application of Wavelet-Based Singularity Detection Technique in Automatic Inspection System. Int. J. Wavelets Multiresolution Inf. Process. 4(2): 285-295 (2006)
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