Zaiyi Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction. | Yajun An, Jiale Chen, Huan Lin, Zhenbing Liu, Siyang Feng, Hualong Zhang, Rushi Lan, Zaiyi Liu, Xipeng Pan |
| 2025 | AAAI | Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model. | Jiahua Xu, Dawei Zhou, Lei Hu, Jianfeng Guo, Feng Yang, Zaiyi Liu, Nannan Wang, Xinbo Gao |
| 2025 | MICCAI | Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks. | Huaqiang Su, Zaiyi Liu, Lisha Yao, Sunyun Li, Hun Lin, Guoliang Chen, Xin Chen, Haijun Lei, Baiying Lei |
| 2024 | CVPR | CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. | Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu |
| 2024 | ICANN | DBrAL: A Novel Uncertainty-Based Active Learning Based on Deep-Broad Learning for Medical Image Classification. | Hongjiang Wu, Yuping Zhong, Guoqiang Han, Jiatai Lin, Zaiyi Liu, Chu Han |
| 2024 | ICONIP | Active Learning by Feature Perturbation for Medical Image Classification. | Yuping Zhong, Guoqiang Han, Zhenwei Shi, Zaiyi Liu, Chu Han, Jiatai Lin |
| 2024 | MICCAI | Joint Unsupervised Domain Adaptation and Semi-supervised Learning for Multi-sequence MR Abdominal Organ Segmentation. | Jiahui He, Lei Wu, Wenbin Liu, Zaiyi Liu, Gang Fang |
| 2024 | MICCAI | PG-MLIF: Multimodal Low-Rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction. | Xipeng Pan, Yajun An, Rushi Lan, Zhenbing Liu, Zaiyi Liu, Cheng Lu, Huihua Yang |
| 2024 | MICCAI | HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training. | Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou |
| 2023 | CVPR | Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. | Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang |
| 2023 | ICCV | CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. | Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang |
| 2023 | MICCAI | Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. | Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Zaiyi Liu, Li Zhang, Yu Shi, Ling Zhang |
| 2023 | MICCAI | MsNet: Multi-stage Learning from Seldom Labeled Data for 3D Tooth Segmentation in Dental Cone Beam Computed Tomography. | Xuewei Kang, Bingjiang Qiu, Lisha Yao, Zhihong Chen, Chu Han, Zaiyi Liu |
| 2023 | MICCAI | M | Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo |
| 2023 | MICCAI | AdaptNet: Adaptive Learning from Partially Labeled Data for Abdomen Multi-organ and Tumor Segmentation. | JiChao Luo, Zhihong Chen, Wenbin Liu, Zaiyi Liu, Bingjiang Qiu, Gang Fang |
| 2023 | MICCAI | Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. | Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou |
| 2023 | MICCAI | Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. | Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang |
| 2023 | MICCAI | Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. | Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang |
| 2023 | MICCAI | UOD: Universal One-Shot Detection of Anatomical Landmarks. | Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, S. Kevin Zhou |
| 2022 | CBMS | Learning Pre- and Post-contrast Representation for Breast Cancer Segmentation in DCE-MRI. | Hong Wu, Yingwen Huo, Yupeng Pan, Zeyan Xu, Rian Huang, Yu Xie, Chu Han, Zaiyi Liu, Yi Wang |
| 2022 | MICCAI | DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. | Lisha Yao, Yingda Xia, Haochen Zhang, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Suyun Li, Yanting Liang, Xian-Sheng Hua, Le Lu, Xin Chen, Zaiyi Liu, Ling Zhang |
| 2019 | MICCAI | Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. | Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang |
| 2019 | MICCAI | X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. | Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang |