Aiping Qu

According to our database, Aiping Qu authored at least 18 papers between 2012 and 2024.

Collaborative distances:

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

2024

DETisSeg: A dual-encoder network for tissue semantic segmentation of histopathology image.

Penghui He, Aiping Qu, Shuomin Xiao, Meidan Ding

Biomed. Signal Process. Control., January, 2024

DFCG: A Dual-Frequency Cascade Graph model for semi-supervised ultrasound image segmentation with diffusion model.

Yifeng Yao, Xingxing Duan, Aiping Qu, Mingzhi Chen, Junxi Chen, Lingna Chen

Knowl. Based Syst., 2024

2023

An enhanced vision transformer with wavelet position embedding for histopathological image classification.

Meidan Ding, Aiping Qu, Haiqin Zhong, Zhihui Lai, Shuomin Xiao, Penghui He

Pattern Recognit., August, 2023

A scale and region-enhanced decoding network for nuclei classification in histology image.

Shuomin Xiao, Aiping Qu, Haiqin Zhong, Penghui He

Biomed. Signal Process. Control., May, 2023

Dual encoder network with transformer-CNN for multi-organ segmentation.

Zhifang Hong, Mingzhi Chen, Weijie Hu, Shiyu Yan, Aiping Qu, Lingna Chen, Junxi Chen

Medical Biol. Eng. Comput., March, 2023

2022

Contour-aware semantic segmentation network with spatial attention mechanism for medical image.

Zhiming Cheng, Aiping Qu, Xiaofeng He

Vis. Comput., 2022

Tunable early CU size decision for depth map intra coding in 3D-HEVC using unsupervised learning.

Yue Li, Gaobo Yang, Aiping Qu, Yapei Zhu

Digit. Signal Process., 2022

A region-based convolutional network for nuclei detection and segmentation in microscopy images.

Hao Liang, Zhiming Cheng, Haiqin Zhong, Aiping Qu, Lingna Chen

Biomed. Signal Process. Control., 2022

2021

A Densely Connected UNet3D Network Combined Attention Mechanism for Liver and Tumor Segmentation.

Hewen Xi, Junxi Chen, Dongping Xiong, Xiaofeng He, Aiping Qu, Lingna Chen

J. Medical Imaging Health Informatics, 2021

A Modified Convolutional Neural Network for Nuclei Classification in Histopathology Image.

Haiqin Zhong, Aiping Qu, Hao Liang, Meidan Ding

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

A Transformer-based Network for Pathology Image Classification.

Meidan Ding, Aiping Qu, Haiqin Zhong, Hao Liang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

A Fast and Accurate Algorithm for Nuclei Instance Segmentation in Microscopy Images.

Zhiming Cheng, Aiping Qu

IEEE Access, 2020

An Integration Convolutional Neural Network for Nuclei Instance Segmentation.

Aiping Qu, Zhiming Cheng, Xiaofeng He, Yue Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2015

Quantitative Analysis of Particles Segregation.

Ting Peng, Aiping Qu, Xiaoling Wang

CoRR, 2015

Segmentation of Hematoxylin-Eosin stained breast cancer histopathological images based on pixel-wise SVM classifier.

Aiping Qu, Jiamei Chen, Linwei Wang, Jingping Yuan, Fang Yang, Qingming Xiang, Ninu Maskey, Guifang Yang, Juan Liu, Yan Li

Sci. China Inf. Sci., 2015

2014

A modified Polak-Ribi'<i>e</i>re-Polyak descent method for unconstrained optimization.

Aiping Qu, Min Li, Yue Xiao, Juan Liu

Optim. Methods Softw., 2014

Two-step segmentation of Hematoxylin-Eosin stained histopathological images for prognosis of breast cancer.

Aiping Qu, Jiamei Chen, Linwei Wang, Jingping Yuan, Fang Yang, Qingming Xiang, Ninu Maskey, Guifang Yang, Juan Liu, Yan Li

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2012

The convergence rate of a restart MFR conjugate gradient method with inexact line search.

Aiping Qu, Donghui Li, Min Li

Appl. Math. Comput., 2012