Hao Zheng
Orcid: 0000-0002-9790-7607Affiliations:
- University of Pennsylvania, Philadelphia, PA, USA
- University of Notre Dame, IN, USA (former)
According to our database1,
Hao Zheng
authored at least 32 papers
between 2017 and 2023.
Collaborative distances:
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Timeline
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Bibliography
2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
SurfNN: Joint Reconstruction of Multiple Cortical Surfaces from Magnetic Resonance Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
A Point in the Right Direction: Vector Prediction for Spatially-Aware Self-Supervised Volumetric Representation Learning.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes.
IEEE Trans. Vis. Comput. Graph., 2022
Medical Image Anal., 2022
Medical Image Anal., 2022
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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
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
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
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
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
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
Through the eyes of a poet: classical poetry recommendation with visual input on social media.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
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
2017
Large-scale point-of-interest category prediction using natural language processing models.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017