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ORCIDYunhe Gao
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2020 – today
- 2024
[c13]Yunhe Gao:
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation. CVPR 2024: 11194-11204- [c12]Yunhe Gao, Difei Gu, Mu Zhou, Dimitris N. Metaxas:
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification. MICCAI (10) 2024: 46-56 - [i14]Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas:
Implicit In-context Learning. CoRR abs/2405.14660 (2024) - [i13]Yunhe Gao, Difei Gu, Mu Zhou, Dimitris N. Metaxas:
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification. CoRR abs/2406.05596 (2024) - 2023
- [c11]Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris N. Metaxas:
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction. NeurIPS 2023 - [i12]Yunhe Gao, Zhuowei Li, Di Liu, Mu Zhou, Shaoting Zhang, Dimitris N. Metaxas:
Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning. CoRR abs/2306.02416 (2023) - [i11]Di Liu, Long Zhao, Qilong Zhangli, Yunhe Gao, Ting Liu, Dimitris N. Metaxas:
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency. CoRR abs/2309.01035 (2023) - 2022
- [c10]Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas:
Modality Bank: Learn multi-modality images across data centers without sharing medical data. EMBC 2022: 4758-4763 - [c9]Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He
, Zhaoyang Xia, Qi Chang, Ligong Han, Yunhe Gao, Song Wen, Haiming Tang, He Wang, Mu Zhou, Dimitris N. Metaxas:
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. MICCAI (4) 2022: 129-139 - [c8]Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas:
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. MICCAI (5) 2022: 485-495 - [i10]Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas:
Modality Bank: Learn multi-modality images across data centers without sharing medical data. CoRR abs/2201.08955 (2022) - [i9]Yunhe Gao, Mu Zhou, Di Liu, Dimitris N. Metaxas:
A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks. CoRR abs/2203.00131 (2022) - [i8]Di Liu, Yunhe Gao, Qilong Zhangli, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas:
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. CoRR abs/2203.10726 (2022) - [i7]Yunhe Gao, Xingjian Shi, Yi Zhu, Hao Wang, Zhiqiang Tang, Xiong Zhou, Mu Li, Dimitris N. Metaxas:
Visual Prompt Tuning for Test-time Domain Adaptation. CoRR abs/2210.04831 (2022) - 2021
- [j2]Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen:
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images. Medical Image Anal. 67: 101831 (2021) - [c7]Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas:
CrossNorm and SelfNorm for Generalization under Distribution Shifts. ICCV 2021: 52-61 - [c6]Yunhe Gao, Zhiqiang Tang, Mu Zhou, Dimitris N. Metaxas:
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training. IPMI 2021: 85-97 - [c5]Yunhe Gao, Mu Zhou, Dimitris N. Metaxas:
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation. MICCAI (3) 2021: 61-71 - [i6]Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas:
SelfNorm and CrossNorm for Out-of-Distribution Robustness. CoRR abs/2102.02811 (2021) - [i5]Yunhe Gao, Zhiqiang Tang, Mu Zhou, Dimitris N. Metaxas:
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training. CoRR abs/2103.16493 (2021) - [i4]Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen:
FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images. CoRR abs/2104.01771 (2021) - [i3]Yunhe Gao, Mu Zhou, Dimitris N. Metaxas:
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation. CoRR abs/2107.00781 (2021) - 2020
- [j1]Yizhi Chen, Yunhe Gao, Kang Li, Liang Zhao, Jun Zhao:
Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model. IEEE Trans. Medical Imaging 39(2): 387-399 (2020) - [c4]Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas:
OnlineAugment: Online Data Augmentation with Less Domain Knowledge. ECCV (7) 2020: 313-329 - [i2]Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas:
OnlineAugment: Online Data Augmentation with Less Domain Knowledge. CoRR abs/2007.09271 (2020)
2010 – 2019
- 2019
- [c3]Yunhe Gao, Chang Liu, Liang Zhao:
Multi-resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation. MICCAI (2) 2019: 309-317 - [c2]Yunhe Gao, Rui Huang, Ming Chen, Zhe Wang, Jincheng Deng, Yuanyuan Chen, Yiwei Yang, Jie Zhang, Chanjuan Tao, Hongsheng Li:
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images. MICCAI (3) 2019: 829-838 - [i1]Yunhe Gao, Rui Huang, Ming Chen, Zhe Wang, Jincheng Deng, Yuanyuan Chen, Yiwei Yang, Jie Zhang, Chanjuan Tao, Hongsheng Li:
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images. CoRR abs/1907.12056 (2019) - 2018
- [c1]Yunhe Gao:
Deep Learning Framework for Fully Automated Intervertebral Disc Localization and Segmentation from Multi-modality MR Images. CSI@MICCAI 2018: 119-129
Coauthor Index
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