Deep Learning Framework for Fully Automated Intervertebral Disc Localization and Segmentation from Multi-modality MR Images. - Yunhe Gao (CSI@MICCAI, 2018)

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 001; Ming Chen; Zhe Wang 006; Jincheng Deng; Yuanyuan Chen; Yiwei Yang 001; Jie Zhang; Chanjuan Tao; Hongsheng Li 001 (MICCAI (3), 2019)

Multi-resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation. - Yunhe Gao; Chang Liu; Liang Zhao 018 (MICCAI (2), 2019)

OnlineAugment: Online Data Augmentation with Less Domain Knowledge. - Zhiqiang Tang 001; Yunhe Gao; Leonid Karlinsky; Prasanna Sattigeri; Rogério Feris; Dimitris N. Metaxas (ECCV (7), 2020)

Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model. - Yizhi Chen; Yunhe Gao; Kang Li 004; Liang Zhao 018; Jun Zhao 010 (IEEE Trans. Medical Imaging, 2020)

CrossNorm and SelfNorm for Generalization under Distribution Shifts. - Zhiqiang Tang 001; Yunhe Gao; Yi Zhu 001; Zhi Zhang 005; Mu Li 003; Dimitris N. Metaxas (ICCV, 2021)

Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training. - Yunhe Gao; Zhiqiang Tang 001; Mu Zhou; Dimitris N. Metaxas (IPMI, 2021)

UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation. - Yunhe Gao; Mu Zhou; Dimitris N. Metaxas (MICCAI (3), 2021)

SelfNorm and CrossNorm for Out-of-Distribution Robustness. - Zhiqiang Tang 001; Yunhe Gao; Yi Zhu 001; Zhi Zhang 005; Mu Li 003; Dimitris N. Metaxas (CoRR, 2021)

FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images. - Yunhe Gao; Rui Huang 001; Yiwei Yang 001; Jie Zhang; Kainan Shao; Changjuan Tao; Yuanyuan Chen; Dimitris N. Metaxas; Hongsheng Li 001; Ming Chen (Medical Image Anal., 2021)

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 (EMBC, 2022)

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. - Di Liu 003; Yunhe Gao; Qilong Zhangli; Ligong Han; Xiaoxiao He; Zhaoyang Xia; Song Wen 001; Qi Chang; Zhennan Yan; Mu Zhou; Dimitris N. Metaxas (MICCAI (5), 2022)

Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. - Qilong Zhangli; Jingru Yi; Di Liu 003; Xiaoxiao He; Zhaoyang Xia; Qi Chang; Ligong Han; Yunhe Gao; Song Wen 001; Haiming Tang; He Wang 016; Mu Zhou; et al. (MICCAI (4), 2022)

A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks. - Yunhe Gao; Mu Zhou; Di Liu 003; Dimitris N. Metaxas (CoRR, 2022)

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. - Di Liu 003; Yunhe Gao; Qilong Zhangli; Zhennan Yan; Mu Zhou; Dimitris N. Metaxas (CoRR, 2022)

Visual Prompt Tuning for Test-time Domain Adaptation. - Yunhe Gao; Xingjian Shi; Yi Zhu 001; Hao Wang 014; Zhiqiang Tang 001; Xiong Zhou; Mu Li 003; Dimitris N. Metaxas (CoRR, 2022)

LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction. - Di Liu 003; Anastasis Stathopoulos; Qilong Zhangli; Yunhe Gao; Dimitris N. Metaxas (NeurIPS, 2023)

Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning. - Yunhe Gao; Zhuowei Li 002; Di Liu 003; Mu Zhou; Shaoting Zhang 001; Dimitris N. Metaxas (CoRR, 2023)

Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency. - Di Liu 003; Long Zhao 003; Qilong Zhangli; Yunhe Gao; Ting Liu 005; Dimitris N. Metaxas (CoRR, 2023)

Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation. - Yunhe Gao (CVPR, 2024)

Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification. - Yunhe Gao; Difei Gu; Mu Zhou; Dimitris N. Metaxas (MICCAI (10), 2024)

Show and Segment: Universal Medical Image Segmentation via In-Context Learning. - Yunhe Gao; Di Liu 003; Zhuowei Li 002; Yunsheng Li; Dongdong Chen; Mu Zhou; Dimitris N. Metaxas (CVPR, 2025)

Implicit In-context Learning. - Zhuowei Li 002; Zihao Xu 001; Ligong Han; Yunhe Gao; Song Wen 001; Di Liu 003; Hao Wang 014; Dimitris N. Metaxas (ICLR, 2025)

VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation. - Bangwei Guo; Meng Ye 003; Yunhe Gao; Bingyu Xin; Leon Axel; Dimitris N. Metaxas (IPMI (1), 2025)

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment. - Difei Gu; Yunhe Gao; Yang Zhou; Mu Zhou; Dimitris N. Metaxas (CoRR, 2025)

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering. - Zhuowei Li 002; Haizhou Shi; Yunhe Gao; Di Liu 003; Zhenting Wang; Yuxiao Chen 002; Ting Liu 005; Long Zhao 003; Hao Wang 014; Dimitris N. Metaxas (CoRR, 2025)