Yuezhe Yang

An annotated heterogeneous ultrasound database

Yuezhe Yang^*, Yonglin Chen^*, Xingbo Dong^†, Junning Zhang, Chihui Long, Zhe Jin, Yong Dai
Scientific Data, 2025
Collect a large-scale public ultrasound database to improve AI-assisted ultrasound diagnosis performance.

EM-Net: Effective and morphology-aware network for skin lesion segmentation

Kaiwen Zhu^*, Yuezhe Yang^*, Yonglin Chen^*†, Ruixi Feng, Dongping Chen, Bingzhi Fan, Nan Liu, et al.
ESWA, 2025
Propose a high-precision model for skin lesion segmentation in dermoscopic images.

Depth-Aware Gaussian Splatting with Propagation Properties for Ultrasound Rendering

Yuezhe Yang, Wenjie Cai, Dexin Yang, Yufang Dong, Qingqing Ruan, Xingbo Dong^†, Zhe Jin
Submit to BMVC (2025)
The first to apply 3DGS to generate new ultrasound perspectives.

Federated Learning-Based Virtual Dual-Energy CT Generation from Single-Energy CT for Gout Detection

Yufang Dong^*, Min Liu^*, Jiajun Feng^*, Yuezhe Yang^*, Yong Dai, Zhe Jin^†
Submit to Digital Health
Introduces a federated learning framework for low-cost virtual DECT image generation to support accurate gout diagnosis.

Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic Review

Yuezhe Yang, Boyu Yang, Yaqian Wang, Yang He, Xingbo Dong, Zhe Jin
ArXiv, 2025, Sumbit to Medical Image Analysis
Considering 3D radiological image reconstruction from explicit and implicit representations.

Auto-US: An Agent for Ultrasound Video Diagnosis Using Video Classification Framework and LLMs

Yuezhe Yang, Yiyue Guo, Wenjie Cai, Qingqing Ruan, Siying Wang, Xingbo Dong^†, Zhe Jin, Yong Dai
Submit to npj artificial intelligence
The first multimodal ultrasound video diagnostic agent.

Abnormality-aware Prompting for Test-Time Adaptation in Breast Ultrasound Segmentation

Yuezhe Yang, YongZhou Liu, Liwen Wang, Xingbo Dong^†, Zhe Jin
Submit to NeurIPS (2025)
The first test-time adaptation method tailored for breast ultrasound imaging.

PET image reconstruction method based on prior image and PET image 3D perception method 基于先验图像的PET图像重建方法及PET图像3D感知方法

Xingbo Dong, Yuezhe Yang, Xingguo Lv, Liwen Wang, Hui Zhang, Yonglin Chen, Dailei Zhang, Zhe Jin
CN118411435A, 2024 (Substantive Examination)
Proposes a deep learning-based PET reconstruction and 3D perception method using prior images and NeRF to enhance quality while reducing scan time and dose.

3D Gaussian model generation and rendering method for low-dose PET image processing 一种用于低剂量PET图像处理的3D高斯模型生成和渲染方法

Yuezhe Yang, Xingbo Dong, Wenjie Cai, Dexin Yang, Zhe Jin
CN119625190A, 2025
Proposes a 3D Gaussian model generation and rendering method for low-dose brain PET imaging to reduce noise and enhance resolution.

DeepPET: An Intelligent Brain PET Device with Low Radiation and High Imaging Quality DeepPET:低放射高成像质量的智能脑PET设备 DeepPET:基于深度学习的脑 PET 图像重建算法及设备 基于学习的脑PET图像重建方法及可解释性研究

Yuezhe Yang, Qinggaoyuan Zhou, Sitong Zhou, Sheng Yan, Wenjie Cai, Ruixi Feng, Jinyang Zhao, et al.
Chinese College Students' Innovation and Entrepreneurship Program, 2024
Integrate physical models with deep learning to achieve efficient high-quality low-dose PET image reconstruction.

Bachelor’s Degree in AI
School of Artificial Intelligence, Anhui University
2022.09 - 2026.06 (Expected)
Supervisor: Zhe Jin

Research Intern
Anhui Provincial International Joint Research Center for Advanced Technology in Medical Imaging, Anhui University
2023.12 - 2025.03
Supervisor: Xingbo Dong

Research Intern
Vision and Learning Lab, University of Alberta
2025.07 - 2025.10
Supervisor: Li Cheng