Hao Zheng

Affiliations:
  • University of Notre Dame, IN, USA


According to our database1, Hao Zheng authored at least 20 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

On csauthors.net:

Bibliography

2022
STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes.
IEEE Trans. Vis. Comput. Graph., 2022

2021
V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data.
IEEE Trans. Vis. Comput. Graph., 2021

Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation.
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.
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.
Vis. Informatics, 2020

Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation.
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.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

InTracker: An Integrated Detector-Tracker Framework for Cell Detection and Tracking.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization.
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training.
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.
IEEE Computer Graphics and Applications, 2019

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation.
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.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Biomedical Image Segmentation via Representative Annotation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation.
CoRR, 2018

Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018


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