Haichun Yang

According to our database, Haichun Yang authored at least 32 papers between 2020 and 2024.

Collaborative distances:

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

2024

Circle Representation for Medical Instance Object Segmentation.

Juming Xiong, Ethan H. Nguyen, Yilin Liu, Ruining Deng, Regina N. Tyree, Hernan Correa, Girish Hiremath, Yaohong Wang, Haichun Yang, Agnes B. Fogo, Yuankai Huo

CoRR, 2024

PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation.

Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jialin Yue, Juming Xiong, Lining Yu, Yifei Wu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo

CoRR, 2024

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

Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers.

Muhao Liu, Chenyang Qi, Shunxing Bao, Quan Liu, Ruining Deng, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo

CoRR, 2023

Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology.

Jiayuan Chen, Yu Wang, Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Yilin Liu, Jianyong Zhong, Agnes B. Fogo, Haichun Yang, Shilin Zhao, Yuankai Huo

CoRR, 2023

Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning.

Xueyuan Li, Ruining Deng, Yucheng Tang, Shunxing Bao, Haichun Yang, Yuankai Huo

CoRR, 2023

High-performance Data Management for Whole Slide Image Analysis in Digital Pathology.

Haoju Leng, Ruining Deng, Shunxing Bao, Dazheng Fang, Bryan A. Millis, Yucheng Tang, Haichun Yang, Xiao Wang, Yifan Peng, Lipeng Wan, Yuankai Huo

CoRR, 2023

Multi-scale Multi-site Renal Microvascular Structures Segmentation for Whole Slide Imaging in Renal Pathology.

Franklin Hu, Ruining Deng, Shunxing Bao, Haichun Yang, Yuankai Huo

CoRR, 2023

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning.

Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yucheng Tang, Haichun Yang, Yuankai Huo

CoRR, 2023

An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level.

Haoju Leng, Ruining Deng, Zuhayr Asad, R. Michael Womick, Haichun Yang, Lipeng Wan, Yuankai Huo

CoRR, 2023

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.

Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo

CoRR, 2023

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning.

Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yaohong Wang, Yihan Wang, Yucheng Tang, Haichun Yang, Yuankai Huo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.

Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo

CoRR, 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

Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review.

Can Cui, Haichun Yang, Yaohong Wang, Shilin Zhao, Zuhayr Asad, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo

CoRR, 2022

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data.

Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, 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

Single Dynamic Network for Multi-label Renal Pathology Image Segmentation.

Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

CircleSnake: Instance Segmentation with Circle Representation.

Ethan H. Nguyen, Haichun Yang, Zuhayr Asad, Ruining Deng, Agnes B. Fogo, Yuankai Huo

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data.

Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images.

Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes B. Fogo, Yuankai Huo

IEEE Trans. Medical Imaging, 2021

Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data.

Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo

CoRR, 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

Compound Figure Separation of Biomedical Images with Side Loss.

Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

SimTriplet: Simple Triplet Representation Learning with a Single GPU.

Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, Yuankai Huo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Beds: Bagging Ensemble Deep Segmentation For Nucleus Segmentation With Testing Stage Stain Augmentation.

Xing Li, Haichun Yang, Jiaxin He, Aadarsh Jha, Agnes B. Fogo, Lee E. Wheless, Shilin Zhao, Yuankai Huo

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment.

Aadarsh Jha, Haichun Yang, Ruining Deng, Meghan E. Kapp, Agnes B. Fogo, Yuankai Huo

CoRR, 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