Yunhe Gao

46 papers A* 6Journal 28Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling.
CoRR
Chong Wang, Yabin Zhang, Yunhe Gao, Maya Varma, Clemence Mottez, Faidra Patsatzi, Jiaming Liu, Jin Long, Jean-Benoit Delbrouck, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz
2026 J jnl
Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models.
CoRR
Yabin Zhang, Maya Varma, Yunhe Gao, Jean-Benoit Delbrouck, Jiaming Liu, Chong Wang, Curtis Langlotz
2026 J jnl
LUCID-SAE: Learning Unified Vision-Language Sparse Codes for Interpretable Concept Discovery.
CoRR
Difei Gu, Yunhe Gao, Gerasimos Chatzoudis, Zihan Dong, Guoning Zhang, Bangwei Guo, Yang Zhou, Mu Zhou, Dimitris N. Metaxas
2026 J jnl
Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision.
CoRR
Yunhe Gao, Yabin Zhang, Chong Wang, Jiaming Liu, Maya Varma, Jean-Benoit Delbrouck, Akshay Chaudhari, Curtis Langlotz
2026 J jnl
Unpaired Image-to-Image Translation via a Self-Supervised Semantic Bridge.
CoRR
Jiaming Liu, Felix Petersen, Yunhe Gao, Yabin Zhang, Hyojin Kim, Akshay S. Chaudhari, Yu Sun, Stefano Ermon, Sergios Gatidis
2025 J jnl
Anatomy-VLM: A Fine-grained Vision-Language Model for Medical Interpretation.
CoRR
Difei Gu, Yunhe Gao, Mu Zhou, Dimitris N. Metaxas
2025 J jnl
Atlas is Your Perfect Context: One-Shot Customization for Generalizable Foundational Medical Image Segmentation.
CoRR
Ziyu Zhang, Yi Yu, Simeng Zhu, Ahmed Aly, Yunhe Gao, Ning Gu, Yuan Xue
2025 A* conf
Implicit In-context Learning.
ICLR
Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas
2025 J jnl
K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model.
CoRR
Bangwei Guo, Yunhe Gao, Meng Ye, Difei Gu, Yang Zhou, Leon Axel, Dimitris N. Metaxas
2025 — conf
RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment.
MICCAI (7)
Difei Gu, Yunhe Gao, Yang Zhou, Mu Zhou, Dimitris N. Metaxas
2025 J jnl
RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment.
CoRR
Difei Gu, Yunhe Gao, Yang Zhou, Mu Zhou, Dimitris N. Metaxas
2025 A* conf
Show and Segment: Universal Medical Image Segmentation via In-Context Learning.
CVPR
Yunhe Gao, Di Liu, Zhuowei Li, Yunsheng Li, Dongdong Chen, Mu Zhou, Dimitris N. Metaxas
2025 J jnl
Show and Segment: Universal Medical Image Segmentation via In-Context Learning.
CoRR
Yunhe Gao, Di Liu, Zhuowei Li, Yunsheng Li, Dongdong Chen, Mu Zhou, Dimitris N. Metaxas
2025 A* conf
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering.
ICML
Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas
2025 J jnl
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering.
CoRR
Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas
2025 — conf
VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation.
IPMI (1)
Bangwei Guo, Meng Ye, Yunhe Gao, Bingyu Xin, Leon Axel, Dimitris N. Metaxas
2024 — conf
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification.
MICCAI (10)
Yunhe Gao, Difei Gu, Mu Zhou, Dimitris N. Metaxas
2024 J jnl
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification.
CoRR
Yunhe Gao, Difei Gu, Mu Zhou, Dimitris N. Metaxas
2024 J jnl
Implicit In-context Learning.
CoRR
Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas
2024 A* conf
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation.
CVPR
Yunhe Gao
2024 J jnl
VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation.
CoRR
Bangwei Guo, Meng Ye, Yunhe Gao, Bingyu Xin, Leon Axel, Dimitris N. Metaxas
2023 J jnl
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency.
CoRR
Di Liu, Long Zhao, Qilong Zhangli, Yunhe Gao, Ting Liu, Dimitris N. Metaxas
2023 A* conf
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction.
NeurIPS
Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris N. Metaxas
2023 J jnl
Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning.
CoRR
Yunhe Gao, Zhuowei Li, Di Liu, Mu Zhou, Shaoting Zhang, Dimitris N. Metaxas
2022 J jnl
A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks.
CoRR
Yunhe Gao, Mu Zhou, Di Liu, Dimitris N. Metaxas
2022 — conf
Modality Bank: Learn multi-modality images across data centers without sharing medical data.
EMBC
Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas
2022 J jnl
Modality Bank: Learn multi-modality images across data centers without sharing medical data.
CoRR
Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas
2022 — conf
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images.
MICCAI (4)
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
2022 — conf
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers.
MICCAI (5)
Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas
2022 J jnl
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers.
CoRR
Di Liu, Yunhe Gao, Qilong Zhangli, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas
2022 J jnl
Visual Prompt Tuning for Test-time Domain Adaptation.
CoRR
Yunhe Gao, Xingjian Shi, Yi Zhu, Hao Wang, Zhiqiang Tang, Xiong Zhou, Mu Li, Dimitris N. Metaxas
2021 A* conf
CrossNorm and SelfNorm for Generalization under Distribution Shifts.
ICCV
Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas
2021 — conf
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training.
IPMI
Yunhe Gao, Zhiqiang Tang, Mu Zhou, Dimitris N. Metaxas
2021 J jnl
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training.
CoRR
Yunhe Gao, Zhiqiang Tang, Mu Zhou, Dimitris N. Metaxas
2021 J jnl
FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images.
CoRR
Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen
2021 J jnl
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images.
Medical Image Anal.
Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen
2021 J jnl
SelfNorm and CrossNorm for Out-of-Distribution Robustness.
CoRR
Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas
2021 — conf
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation.
MICCAI (3)
Yunhe Gao, Mu Zhou, Dimitris N. Metaxas
2021 J jnl
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation.
CoRR
Yunhe Gao, Mu Zhou, Dimitris N. Metaxas
2020 — conf
OnlineAugment: Online Data Augmentation with Less Domain Knowledge.
ECCV (7)
Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas
2020 J jnl
OnlineAugment: Online Data Augmentation with Less Domain Knowledge.
CoRR
Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas
2020 J jnl
Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model.
IEEE Trans. Medical Imaging
Yizhi Chen, Yunhe Gao, Kang Li, Liang Zhao, Jun Zhao
2019 — conf
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images.
MICCAI (3)
Yunhe Gao, Rui Huang, Ming Chen, Zhe Wang, Jincheng Deng, Yuanyuan Chen, Yiwei Yang, Jie Zhang, Chanjuan Tao, Hongsheng Li
2019 J jnl
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images.
CoRR
Yunhe Gao, Rui Huang, Ming Chen, Zhe Wang, Jincheng Deng, Yuanyuan Chen, Yiwei Yang, Jie Zhang, Chanjuan Tao, Hongsheng Li
2019 — conf
Multi-resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation.
MICCAI (2)
Yunhe Gao, Chang Liu, Liang Zhao
2018 — conf
Deep Learning Framework for Fully Automated Intervertebral Disc Localization and Segmentation from Multi-modality MR Images.
CSI@MICCAI
Yunhe Gao