Yunhe Gao

According to our database, Yunhe Gao authored at least 23 papers between 2018 and 2024.

Collaborative distances:

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

2024

VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation.

Bangwei Guo, Meng Ye, Yunhe Gao, Bingyu Xin, Leon Axel, Dimitris N. Metaxas

CoRR, 2024

Implicit In-context Learning.

Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas

CoRR, 2024

Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification.

Yunhe Gao, Difei Gu, Mu Zhou, Dimitris N. Metaxas

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation.

Yunhe Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency.

Di Liu, Long Zhao, Qilong Zhangli, Yunhe Gao, Ting Liu, Dimitris N. Metaxas

CoRR, 2023

Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning.

Yunhe Gao, Zhuowei Li, Di Liu, Mu Zhou, Shaoting Zhang, Dimitris N. Metaxas

CoRR, 2023

LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction.

Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris N. Metaxas

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Visual Prompt Tuning for Test-time Domain Adaptation.

Yunhe Gao, Xingjian Shi, Yi Zhu, Hao Wang, Zhiqiang Tang, Xiong Zhou, Mu Li, Dimitris N. Metaxas

CoRR, 2022

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers.

Di Liu, Yunhe Gao, Qilong Zhangli, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas

CoRR, 2022

A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks.

Yunhe Gao, Mu Zhou, Di Liu, Dimitris N. Metaxas

CoRR, 2022

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers.

Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Modality Bank: Learn multi-modality images across data centers without sharing medical data.

Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images.

Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen

Medical Image Anal., 2021

SelfNorm and CrossNorm for Out-of-Distribution Robustness.

Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas

CoRR, 2021

UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation.

Yunhe Gao, Mu Zhou, Dimitris N. Metaxas

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training.

Yunhe Gao, Zhiqiang Tang, Mu Zhou, Dimitris N. Metaxas

Proceedings of the Information Processing in Medical Imaging, 2021

CrossNorm and SelfNorm for Generalization under Distribution Shifts.

Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas

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

2020

Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model.

Yizhi Chen, Yunhe Gao, Kang Li, Liang Zhao, Jun Zhao

IEEE Trans. Medical Imaging, 2020

OnlineAugment: Online Data Augmentation with Less Domain Knowledge.

Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Multi-resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation.

Yunhe Gao, Chang Liu, Liang Zhao

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

FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images.

Yunhe Gao, Rui Huang, Ming Chen, Zhe Wang, Jincheng Deng, Yuanyuan Chen, Yiwei Yang, Jie Zhang, Chanjuan Tao, Hongsheng Li

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

2018

Deep Learning Framework for Fully Automated Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.

Yunhe Gao

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2018