Yi Zhang

According to our database, Yi Zhang authored at least 9 papers between 2023 and 2024.

Collaborative distances:

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

2024

From single to universal: tiny lesion detection in medical imaging.

Yi Zhang, Yiji Mao, Xuanyu Lu, Xingyu Zou, Hao Huang, Xinyang Li, Jiayue Li, Haixian Zhang

Artif. Intell. Rev., August, 2024

FAOT-Net: A 1.5-Stage Framework for 3D Pelvic Lymph Node Detection With Online Candidate Tuning.

Yi Zhang, Jiayue Li, Xinyang Li, Min Xie, Md. Tauhidul Islam, Haixian Zhang

IEEE Trans. Medical Imaging, March, 2024

An Explainable Coarse-to-Fine Survival Analysis Method on Multi-Center Whole Slide Images.

Han Wang, Dan Jiang, Haixian Zhang, Yujue Wang, Li Yang, David J. Kerr, Yi Zhang

IEEE Trans. Artif. Intell., March, 2024

An Intelligent System of Predicting Lymph Node Metastasis in Colorectal Cancer Using 3D CT Scans.

Min Xie, Yi Zhang, Xinyang Li, Jiayue Li, Xingyu Zou, Yiji Mao, Haixian Zhang

Int. J. Intell. Syst., 2024

Look a Group at Once: Multi-Slide Modeling for Survival Prediction.

Xinyang Li, Yi Zhang, Yi Xie, Jianfei Yang, Xi Wang, Hao Chen, Haixian Zhang

CoRR, 2024

MMUDA: A Mutual Multi-Task Learning Network with Unsupervised Domain Adaptation for Glaucoma Screening.

Teng Yin, Yi Zhang, Dawen Wu, Wenyi Shang, Haixian Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

A Multi-task Network with Centerline Supervision for 3D Pelvis Artery Segmentation on CECT images.

Junjie Cui, Yi Zhang, Min Xie, Haixian Zhang

Proceedings of the International Joint Conference on Neural Networks, 2023

Predicting Lymph Node Metastasis of Colorectal Cancer in CT Scans Using Attention-Based Multiple Instance Learning.

Min Xie, Yi Zhang, Xinyang Li, Yiji Mao, Xingyu Zou, Haixian Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems.

Kuanyi Zhang, Min Xie, Yi Zhang, Haixian Zhang

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2023