Qikui Zhu

According to our database, Qikui Zhu authored at least 33 papers between 2017 and 2025.

Collaborative distances:

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

2025

MedKAFormer: When Kolmogorov-Arnold Theorem Meets Vision Transformer for Medical Image Representation.

Guoli Wang, Qikui Zhu, Chaoda Song, Benzheng Wei, Shuo Li

IEEE J. Biomed. Health Informatics, June, 2025

Contrast-Aware Network With Aggregated-Interacted Transformer and Multi-Granularity Aligned Contrastive Learning for Synthesizing Contrast-Enhanced Abdomen CT Imaging.

Qikui Zhu, Andrew L. Wentland, Shuo Li

IEEE Trans. Computational Imaging, 2025

Cross-domain distribution adversarial diffusion model for synthesizing contrast-enhanced abdomen CT imaging.

Qikui Zhu, Shaoming Zhu, Bo Du, Yanqing Wang

Pattern Recognit., 2025

Partial consistent adversarial unified framework for unsupervised non-contrast CT cross-domain adaptation and segmentation.

Qikui Zhu, Yanqing Wang, Shaoming Zhu, Bo Du

Pattern Recognit., 2025

Central loss guides coordinated Transformer for reliable anatomical landmark detection.

Qikui Zhu, Yihui Bi, Jie Chen, Xiangpeng Chu, Danxin Wang, Yanqing Wang

Neural Networks, 2025

CNN-Transformer and Channel-Spatial Attention based network for hyperspectral image classification with few samples.

Chuan Fu, Tianyuan Zhou, Tan Guo, Qikui Zhu, Fulin Luo, Bo Du

Neural Networks, 2025

Causality-Driven Spatio-Temporal Generator for Multi-phase Contrast-Enhanced CT Synthesis.

Qikui Zhu, Hao Wu, Yanyan Zhang, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training.

Lei Hu, Dawei Zhou, Jiahua Xu, Cheng Lu, Chu Han, Zhenwei Shi, Qikui Zhu, Xinbo Gao, Nannan Wang, Zaiyi Liu

IEEE J. Biomed. Health Informatics, July, 2024

Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization.

Chengyang Zhang, Jie Chen, Bo Li, Min Feng, Yongquan Yang, Qikui Zhu, Hong Bu

IEEE J. Biomed. Health Informatics, January, 2024

Edge-and-Mask Integration-Driven Diffusion Models for Medical Image Segmentation.

Qian Tang, Qikui Zhu, Yuxuan Xiong, Yongchao Xu, Bo Du

IEEE Signal Process. Lett., 2024

Exponential distance transform maps for cell localization.

Bo Li, Jie Chen, Hang Yi, Min Feng, Yongquan Yang, Qikui Zhu, Hong Bu

Eng. Appl. Artif. Intell., 2024

A Generalized Contrast-Adjustment Guided Growth Method for Medical Image Segmentation.

Qian Tang, Qikui Zhu, Yongchao Xu, Bo Du

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification.

Qikui Zhu, Chuan Fu, Shuo Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Selective information passing for MR/CT image segmentation.

Qikui Zhu, Liang Li, Jiangnan Hao, Yunfei Zha, Yan Zhang, Yanxiang Cheng, Fei Liao, Pingxiang Li

Neural Comput. Appl., June, 2023

A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images.

Xingxin Xu, Qikui Zhu, Hanning Ying, Jiongcheng Li, Xiujun Cai, Shuo Li, Xiaoqing Liu, Yizhou Yu

IEEE J. Biomed. Health Informatics, 2023

Coordinated Transformer with Position & Sample-aware Central Loss for Anatomical Landmark Detection.

Qikui Zhu, Yihui Bi, Danxin Wang, Xiangpeng Chu, Jie Chen, Yanqing Wang

CoRR, 2023

DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor Augmentation.

Qikui Zhu, Lei Yin, Qian Tang, Yanqing Wang, Yanxiang Cheng, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

On a Sparse Shortcut Topology of Artificial Neural Networks.

Feng-Lei Fan, Dayang Wang, Hengtao Guo, Qikui Zhu, Pingkun Yan, Ge Wang, Hengyong Yu

IEEE Trans. Artif. Intell., 2022

Real-Time Video Deraining via Global Motion Compensation and Hybrid Multi-Scale Temporal Correlations.

Xiaofen Wang, Jun Chen, Zhen Han, Qikui Zhu, Weijian Ruan

IEEE Signal Process. Lett., 2022

OASIS: One-pass aligned atlas set for medical image segmentation.

Qikui Zhu, Yanqing Wang, Bo Du, Pingkun Yan

Neurocomputing, 2022

SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation.

Qikui Zhu, Yanqing Wang, Lei Yin, Jiancheng Yang, Fei Liao, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis.

Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multi-View Coupled Self-Attention Network for Pulmonary Nodules Classification.

Qikui Zhu, Yanqing Wang, Xiangpeng Chu, Xiongwen Yang, Wenzhao Zhong

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks.

Feng Sun, Ajith Kumar V, Guanci Yang, Qikui Zhu, Yiyun Zhang, Ansi Zhang, Dhruv Makwana

CoRR, 2021

2020

Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation.

Qikui Zhu, Bo Du, Pingkun Yan

IEEE Trans. Medical Imaging, 2020

Self-supervised Training of Graph Convolutional Networks.

Qikui Zhu, Bo Du, Pingkun Yan

CoRR, 2020

Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation.

Danbing Zou, Qikui Zhu, Pingkun Yan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

OASIS: One-pass aligned Atlas Set for Image Segmentation.

Qikui Zhu, Bo Du, Pingkun Yan

CoRR, 2019

Multi-hop Convolutions on Weighted Graphs.

Qikui Zhu, Bo Du, Pingkun Yan

CoRR, 2019

2018

Shape prior constrained PSO model for bladder wall MRI segmentation.

Qikui Zhu, Bo Du, Pingkun Yan, Hongbing Lu, Liangpei Zhang

Neurocomputing, 2018

Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect.

Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan

Complex., 2018

A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets.

Qikui Zhu, Bo Du, Jia Wu, Pingkun Yan

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Deeply-supervised CNN for prostate segmentation.

Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017