Hao Tang

According to our database, Hao Tang authored at least 17 papers between 2018 and 2023.

Collaborative distances:

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

2023

Representation Recovering for Self-Supervised Pre-training on Medical Images.

Xiangyi Yan, Junayed Naushad, Shanlin Sun, Kun Han, Hao Tang, Deying Kong, Haoyu Ma, Chenyu You, Xiaohui Xie

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Diffeomorphic Image Registration with Neural Velocity Field.

Kun Han, Shanlin Sun, Xiangyi Yan, Chenyu You, Hao Tang, Junayed Naushad, Haoyu Ma, Deying Kong, Xiaohui Xie

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.

Xiangyi Yan, Junayed Naushad, Chenyu You, Hao Tang, Shanlin Sun, Kun Han, Haoyu Ma, James S. Duncan, Xiaohui Xie

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

2022

AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation.

Xiangyi Yan, Hao Tang, Shanlin Sun, Haoyu Ma, Deying Kong, Xiaohui Xie

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.

Haoyu Ma, Zhe Wang, Yifei Chen, Deying Kong, Liangjian Chen, Xingwei Liu, Xiangyi Yan, Hao Tang, Xiaohui Xie

Proceedings of the Computer Vision - ECCV 2022, 2022

Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow.

Shanlin Sun, Kun Han, Deying Kong, Hao Tang, Xiangyi Yan, Xiaohui Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Learning in Medical Image Analysis.

Hao Tang

PhD thesis, 2021

Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation.

Hao Tang, Xingwei Liu, Kun Han, Xiaohui Xie, Xuming Chen, Qian Huang, Yong Liu, Shanlin Sun, Narisu Bai

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Recurrent Mask Refinement for Few-Shot Medical Image Segmentation.

Hao Tang, Xingwei Liu, Shanlin Sun, Xiangyi Yan, Xiaohui Xie

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation.

Haoyu Ma, Liangjian Chen, Deying Kong, Zhe Wang, Xingwei Liu, Hao Tang, Xiangyi Yan, Yusheng Xie, Shih-Yao Lin, Xiaohui Xie

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.

Shanlin Sun, Yang Liu, Narisu Bai, Hao Tang, Xuming Chen, Qian Huang, Yong Liu, Xiaohui Xie

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.

Hao Tang, Xuming Chen, Yang Liu, Zhipeng Lu, Junhua You, Mingzhou Yang, Shengyu Yao, Guoqi Zhao, Yi Xu, Tingfeng Chen, Yong Liu, Xiaohui Xie

Nat. Mach. Intell., 2019

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

Hao Tang, Chupeng Zhang, Xiaohui Xie

CoRR, 2019

NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation.

Hao Tang, Chupeng Zhang, Xiaohui Xie

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

Automatic Pulmonary Lobe Segmentation Using Deep Learning.

Hao Tang, Chupeng Zhang, Xiaohui Xie

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.

Hao Tang, Xingwei Liu, Xiaohui Xie

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

2018

Automated pulmonary nodule detection using 3D deep convolutional neural networks.

Hao Tang, Daniel R. Kim, Xiaohui Xie

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018