| CARVIEW |
Hao Tang
Ph.D. Candidate
Department of Computer Science
University of California, Irvine
Contact: htang6 at uci.edu
About
I am a Ph.D. student in the Computer Science Department at University of California Irivne, working with
Prof Xiaohui Xie. I received B.S.
degree from Southeast University (China) in 2017.
My research interest falls in deep learning, medical imaging and computer vision, with a focus on
object detection and segmentation.
I will join Facebook as a full-time research scientist.
See all publications
Publication
- Recurrent Mask Refinement for Few-Shot Medical Image Segmentation
Hao Tang, Xingwei Liu, Shanlin Sun, Xiangyi Yan and Xiaohui Xie
ICCV 2021
- Spatial Context-Aware Self-Attention Model for Multi-Organ Segmentation
Hao Tang, Xingwei Liu, Kun Han, Xuming Chen, Huang Qian, Yong Liu, Shanlin Sun, Narisu Bai and Xiaohui Xie
WACV 2021
- Clinically applicable deep learning framework for organs at risk delineation in CT images
[code]
Hao Tang*, Xuming Chen*, Yang Liu, Zhipeng Lu, Junhua You, Mingzhou Yang, Shengyu Yao, Guoqi Zhao, Yi Xu, Tingfeng Chen, Yong Liu and Xiaohui Xie
Nature Machine Intelligence
- NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation
[code]
Hao Tang, Chupeng Zhang and Xiaohui Xie.
22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019).
- An End-to-end Framework for Integrated Pulmonary Nodule Detection and False Positive Reduction
Hao Tang, Xingwei Liu and Xiaohui Xie.
2019 IEEE International Symposium on Biomedical Imaging (ISBI 2019).
- Automatic Pulmonary Lobe Segmentation using Deep Learning
Hao Tang*, Chupeng Zhang* and Xiaohui Xie.
2019 IEEE International Symposium on Biomedical Imaging (ISBI 2019).
- Automated Pulmonary Nodule Detection Using 3D Deep Convolutional Neural Networks
Hao Tang*, Daniel Kim* and Xiaohui Xie.
2018 IEEE International Symposium on Biomedical Imaging (ISBI 2018).
Experience
- Facebook, PhD Intern, Redmond, WA. 2020.06 - 2020.09
- Microsoft, Research Intern, Redmond, WA. 2019.06 - 2019.09
- DeepVoxel Inc., Research Intern, Irvine, CA. 2018.06 - 2018.09
Teaching
- CompSci 232: Computer & Communication Networks (Fall 2019)
- CompSci 295D: Deep Generative Models (Spring 2018)
- CompSci 274A: Probabilistic Learning: Theory and Algorithms (Winter 2018)
- CompSci 232: Computer & Communication Networks (Fall 2018)
Competition
- Tianchi competition for healthcare 2017: 1st in the first season and 4th in the second among 2887 teams worldwide in pulmonary lung nodule detection competition held by Alibaba.