| 2025 | ICCV | PossLoss: A Reliable and Sensitive Facial Landmark Detection Loss Function. | Qikui Zhu |
| 2025 | MICCAI | Causality-Driven Spatio-Temporal Generator for Multi-phase Contrast-Enhanced CT Synthesis. | Qikui Zhu, Hao Wu, Yanyan Zhang, Shuo Li |
| 2024 | IJCAI | Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification. | Qikui Zhu, Chuan Fu, Shuo Li |
| 2023 | MICCAI | DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor Augmentation. | Qikui Zhu, Lei Yin, Qian Tang, Yanqing Wang, Yanxiang Cheng, Shuo Li |
| 2022 | ACCV | Multi-View Coupled Self-Attention Network for Pulmonary Nodules Classification. | Qikui Zhu, Yanqing Wang, Xiangpeng Chu, Xiongwen Yang, Wenzhao Zhong |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | SelfMix: A Self-adaptive Data Augmentation Method for Lesion Segmentation. | Qikui Zhu, Yanqing Wang, Lei Yin, Jiancheng Yang, Fei Liao, Shuo Li |
| 2020 | IJCAI | Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation. | Danbing Zou, Qikui Zhu, Pingkun Yan |
| 2018 | IJCNN | 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 |
| 2017 | IJCNN | Deeply-supervised CNN for prostate segmentation. | Qikui Zhu, Bo Du, Baris Turkbey, Peter L. Choyke, Pingkun Yan |