Deeply-supervised CNN for prostate segmentation. - Qikui Zhu; Bo Du 001; Baris Turkbey; Peter L. Choyke; Pingkun Yan (IJCNN, 2017)

A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets. - Qikui Zhu; Bo Du 001; Jia Wu 001; Pingkun Yan (IJCNN, 2018)

Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect. - Qikui Zhu; Bo Du 001; Baris Turkbey; Peter L. Choyke; Pingkun Yan (Complex., 2018)

Shape prior constrained PSO model for bladder wall MRI segmentation. - Qikui Zhu; Bo Du 001; Pingkun Yan; Hongbing Lu; Liangpei Zhang 001 (Neurocomputing, 2018)

Multi-hop Convolutions on Weighted Graphs. - Qikui Zhu; Bo Du 001; Pingkun Yan (CoRR, 2019)

OASIS: One-pass aligned Atlas Set for Image Segmentation. - Qikui Zhu; Bo Du 001; Pingkun Yan (CoRR, 2019)

Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation. - Danbing Zou; Qikui Zhu; Pingkun Yan (IJCAI, 2020)

Self-supervised Training of Graph Convolutional Networks. - Qikui Zhu; Bo Du 001; Pingkun Yan (CoRR, 2020)

Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation. - Qikui Zhu; Bo Du 001; Pingkun Yan (IEEE Trans. Medical Imaging, 2020)

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)

Multi-View Coupled Self-Attention Network for Pulmonary Nodules Classification. - Qikui Zhu; Yanqing Wang; Xiangpeng Chu; Xiongwen Yang; Wenzhao Zhong (ACCV (6), 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 (MICCAI (4), 2022)

SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation. - Qikui Zhu; Yanqing Wang; Lei Yin; Jiancheng Yang; Fei Liao; Shuo Li 001 (MICCAI (4), 2022)

OASIS: One-pass aligned atlas set for medical image segmentation. - Qikui Zhu; Yanqing Wang; Bo Du 001; Pingkun Yan (Neurocomputing, 2022)

Real-Time Video Deraining via Global Motion Compensation and Hybrid Multi-Scale Temporal Correlations. - Xiaofen Wang; Jun Chen 001; Zhen Han 002; Qikui Zhu; Weijian Ruan (IEEE Signal Process. Lett., 2022)

On a Sparse Shortcut Topology of Artificial Neural Networks. - Feng-Lei Fan; Dayang Wang; Hengtao Guo; Qikui Zhu; Pingkun Yan; Ge Wang 001; Hengyong Yu (IEEE Trans. Artif. Intell., 2022)

DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor Augmentation. - Qikui Zhu; Lei Yin; Qian Tang; Yanqing Wang; Yanxiang Cheng; Shuo Li 001 (MICCAI (5), 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)

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 001; Xiaoqing Liu; Yizhou Yu (IEEE J. Biomed. Health Informatics, 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., 2023)

Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification. - Qikui Zhu; Chuan Fu; Shuo Li 001 (IJCAI, 2024)

A Generalized Contrast-Adjustment Guided Growth Method for Medical Image Segmentation. - Qian Tang; Qikui Zhu; Yongchao Xu; Bo Du 001 (PRCV (15), 2024)

Exponential distance transform maps for cell localization. - Bo Li 128; Jie Chen; Hang Yi; Min Feng; Yongquan Yang; Qikui Zhu; Hong Bu (Eng. Appl. Artif. Intell., 2024)

Edge-and-Mask Integration-Driven Diffusion Models for Medical Image Segmentation. - Qian Tang; Qikui Zhu; Yuxuan Xiong; Yongchao Xu; Bo Du 001 (IEEE Signal Process. Lett., 2024)

Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization. - Chengyang Zhang; Jie Chen; Bo Li 128; Min Feng; Yongquan Yang; Qikui Zhu; Hong Bu (IEEE J. Biomed. Health Informatics, 2024)

Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training. - Lei Hu 002; Dawei Zhou 004; Jiahua Xu; Cheng Lu 001; Chu Han; Zhenwei Shi; Qikui Zhu; Xinbo Gao 001; Nannan Wang 001; Zaiyi Liu (IEEE J. Biomed. Health Informatics, 2024)

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 001 (Neural Networks, 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)

Partial consistent adversarial unified framework for unsupervised non-contrast CT cross-domain adaptation and segmentation. - Qikui Zhu; Yanqing Wang; Shaoming Zhu; Bo Du 001 (Pattern Recognit., 2025)

Cross-domain distribution adversarial diffusion model for synthesizing contrast-enhanced abdomen CT imaging. - Qikui Zhu; Shaoming Zhu; Bo Du 001; Yanqing Wang (Pattern Recognit., 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 001 (IEEE Trans. Computational Imaging, 2025)

MedKAFormer: When Kolmogorov-Arnold Theorem Meets Vision Transformer for Medical Image Representation. - Guoli Wang; Qikui Zhu; Chaoda Song; Benzheng Wei; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2025)