Qikui Zhu
Orcid: 0000-0002-2779-4766
According to our database1,
Qikui Zhu
authored at least 32 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
MedKAFormer: When Kolmogorov-Arnold Theorem Meets Vision Transformer for Medical Image Representation.
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.
IEEE Trans. Computational Imaging, 2025
Cross-domain distribution adversarial diffusion model for synthesizing contrast-enhanced abdomen CT imaging.
Pattern Recognit., 2025
Partial consistent adversarial unified framework for unsupervised non-contrast CT cross-domain adaptation and segmentation.
Pattern Recognit., 2025
Central loss guides coordinated Transformer for reliable anatomical landmark detection.
Neural Networks, 2025
CNN-Transformer and Channel-Spatial Attention based network for hyperspectral image classification with few samples.
Neural Networks, 2025
2024
Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training.
IEEE J. Biomed. Health Informatics, July, 2024
Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization.
IEEE J. Biomed. Health Informatics, January, 2024
IEEE Signal Process. Lett., 2024
Eng. Appl. Artif. Intell., 2024
A Generalized Contrast-Adjustment Guided Growth Method for Medical Image Segmentation.
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.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
Neural Comput. Appl., June, 2023
A Knowledge-Guided Framework for Fine-Grained Classification of Liver Lesions Based on Multi-Phase CT Images.
IEEE J. Biomed. Health Informatics, 2023
Coordinated Transformer with Position & Sample-aware Central Loss for Anatomical Landmark Detection.
CoRR, 2023
DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor Augmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
IEEE Trans. Artif. Intell., 2022
Real-Time Video Deraining via Global Motion Compensation and Hybrid Multi-Scale Temporal Correlations.
IEEE Signal Process. Lett., 2022
Neurocomputing, 2022
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Computer Vision - ACCV 2022, 2022
2021
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks.
CoRR, 2021
2020
IEEE Trans. Medical Imaging, 2020
Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
2018
Neurocomputing, 2018
Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect.
Complex., 2018
A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017