Hao Tang

Orcid: 0000-0001-9172-7229

Affiliations:
  • University of California, Irvine, Department of Computer Science, CA, USA (2021)


According to our database1, Hao Tang authored at least 19 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Medical image registration via neural fields.
Medical Image Anal., 2024

2023
Hybrid-CSR: Coupling Explicit and Implicit Shape Representation for Cortical Surface Reconstruction.
CoRR, 2023

Representation Recovering for Self-Supervised Pre-training on Medical Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Diffeomorphic Image Registration with Neural Velocity Field.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Localized Region Contrast for Enhancing Self-supervised Learning in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

PPT: Token-Pruned Pose Transformer for Monocular and Multi-view Human Pose Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Deep Learning in Medical Image Analysis.
PhD thesis, 2021

Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Recurrent Mask Refinement for Few-Shot Medical Image Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Attentionanatomy: A Unified Framework for Whole-Body Organs at Risk Segmentation Using Multiple Partially Annotated Datasets.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Clinically applicable deep learning framework for organs at risk delineation in CT images.
Nat. Mach. Intell., 2019

NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation.
CoRR, 2019

NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Automatic Pulmonary Lobe Segmentation Using Deep Learning.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

An End-to-End Framework for Integrated Pulmonary Nodule Detection and False Positive Reduction.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Automated pulmonary nodule detection using 3D deep convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018


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