Zheyu Zhu

According to our database, Zheyu Zhu authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

A Local-Global Multi-Scale Feature Fusion Learning Network for Whole Slide Images Segmentation.

Jiajun Sun, Haihao Fei, Zheyu Zhu, Yan Sun, Wei He, Hongming Cai

Proceedings of the 23rd IEEE International Conference on Industrial Informatics, 2025

2023

Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation.

Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo

IEEE Trans. Biomed. Eng., September, 2023

2022

Circle Representation for Medical Object Detection.

Ethan H. Nguyen, Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo

IEEE Trans. Medical Imaging, 2022

Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation.

Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo

CoRR, 2022

Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining.

Tianyuan Yao, Yuzhe Lu, Jun Long, Aadarsh Jha, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Agnes B. Fogo, Yuankai Huo

CoRR, 2022

Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification.

Yuzhe Lu, Haichun Yang, Zuhayr Asad, Zheyu Zhu, Tianyuan Yao, Jiachen Xu, Agnes B. Fogo, Yuankai Huo

CoRR, 2022

Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool.

Zheyu Zhu, Ruining Deng, Quan Liu, Zuhayr Asad, Can Cui, Tianyuan Yao, Yuankai Huo

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Self-supervised learning with large-scale web image mining for characterizing glomerular lesions.

Tianyuan Yao, Yuzhe Lu, Ruining Deng, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Lee E. Wheless, Agnes B. Fogo, Yuankai Huo

Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

Dense multi-object 3D glomerular reconstruction and quantification on 2D serial section whole slide images.

Ruining Deng, Haichun Yang, Zuhayr Asad, Zheyu Zhu, Shiru Wang, Lee E. Wheless, Agnes B. Fogo, Yuankai Huo

Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning.

Quan Liu, Can Cui, Ruining Deng, Zuhayr Asad, Tianyuan Yao, Zheyu Zhu, Yuankai Huo

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

2021

Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation.

Yuzhe Lu, Haichun Yang, Zheyu Zhu, Ruining Deng, Agnes B. Fogo, Yuankai Huo

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Corpus Annotation System Based on HanLP Chinese Word Segmentation.

Xuanjun Liu, Zheyu Zhu, Tengyan Fu, Jiaxuan Chen, Ying Jiang

Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021

2020

CircleNet: Anchor-free Detection with Circle Representation.

Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo

CoRR, 2020

EasierPath: An Open-Source Tool for Human-in-the-Loop Deep Learning of Renal Pathology.

Zheyu Zhu, Yuzhe Lu, Ruining Deng, Haichun Yang, Agnes B. Fogo, Yuankai Huo

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

CircleNet: Anchor-Free Glomerulus Detection with Circle Representation.

Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020