Hao Zheng

According to our database, Hao Zheng authored at least 20 papers between 2018 and 2022.

Collaborative distances:

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

2022

STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes.

Jun Han, Hao Zheng, Danny Z. Chen, Chaoli Wang

IEEE Trans. Vis. Comput. Graph., 2022

2021

V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data.

Jun Han, Hao Zheng, Yunhao Xing, Danny Z. Chen, Chaoli Wang

IEEE Trans. Vis. Comput. Graph., 2021

Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation.

Hao Zheng, Jun Han, Hongxiao Wang, Lin Yang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

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

kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation.

Pengfei Gu, Hao Zheng, Yizhe Zhang, Chaoli Wang, Danny Z. Chen

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

2020

AntVis: A web-based visual analytics tool for exploring ant movement data.

Tianxiao Hu, Hao Zheng, Chen Liang, Sirou Zhu, Natalie Imirzian, Yizhe Zhang, Chaoli Wang, David P. Hughes, Danny Z. Chen

Vis. Informatics, 2020

Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation.

Hao Zheng, Susan M. Motch Perrine, M. Kathleen Pitirri, Kazuhiko Kawasaki, Chaoli Wang, Joan T. Richtsmeier, Danny Z. Chen

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

A Coarse-to-Fine Data Generation Method for 2D and 3D Cell Nucleus Segmentation.

Zhuo Zhao, Hongxiao Wang, Yizhe Zhang, Hao Zheng, Siyuan Zhang, Danny Ziyi Chen

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking.

Peixian Liang, Jianxu Chen, Yizhe Zhang, Hongxiao Wang, Hao Zheng, Pengfei Gu, Danny Ziyi Chen

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation.

Hongxiao Wang, Hao Zheng, Jianxu Chen, Lin Yang, Yizhe Zhang, Danny Z. Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization.

Li Guo, Shaojie Ye, Jun Han, Hao Zheng, Han Gao, Danny Z. Chen, Jian-Xun Wang, Chaoli Wang

Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training.

Hao Zheng, Yizhe Zhang, Lin Yang, Chaoli Wang, Danny Z. Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning.

Jun Han, Jun Tao, Hao Zheng, Hanqi Guo, Danny Z. Chen, Chaoli Wang

IEEE Computer Graphics and Applications, 2019

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation.

Yizhe Zhang, Lin Yang, Hao Zheng, Peixian Liang, Colleen Mangold, Raquel G. Loreto, David P. Hughes, Danny Z. Chen

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion.

Hao Zheng, Lin Yang, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation.

Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing.

Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Yue Zhang, Dong Wang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation.

Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Biomedical Image Segmentation via Representative Annotation.

Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation.

Lin Yang, Yizhe Zhang, Zhuo Zhao, Hao Zheng, Peixian Liang, Michael T. C. Ying, Anil T. Ahuja, Danny Z. Chen

CoRR, 2018

Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation.

Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018