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2020 – today
- 2024
[c5]Zelong Liu, Andrew Tieu, Nikhil Patel, George Soultanidis, Louisa Deyer, Ying Wang, Sean Huver, Alexander Zhou, Yunhao Mei, Zahi A. Fayad, Timothy Deyer, Xueyan Mei:
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification. MLMI@MICCAI (2) 2024: 95-107- [i4]Alexander Zhou
, Zelong Liu, Andrew Tieu, Nikhil Patel, Sean Sun, Anthony Yang, Peter Choi, Valentin Fauveau, George Soultanidis, Mingqian Huang, Amish Doshi, Zahi A. Fayad, Timothy Deyer, Xueyan Mei:
MRAnnotator: A Multi-Anatomy Deep Learning Model for MRI Segmentation. CoRR abs/2402.01031 (2024) - [i3]Zelong Liu, Andrew Tieu, Nikhil Patel, Alexander Zhou, George Soultanidis, Zahi A. Fayad, Timothy Deyer, Xueyan Mei:
VISION-MAE: A Foundation Model for Medical Image Segmentation and Classification. CoRR abs/2402.01034 (2024) - 2023
- [i2]Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR abs/2307.15208 (2023) - [i1]Zelong Liu, Alexander Zhou, Arnold Yang, Alara Yilmaz, Maxwell Yoo, Mikey Sullivan, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei:
RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. CoRR abs/2312.05953 (2023) - 2022
- [c4]Zelong Liu, Arnold Yang, Steven Liu, Louisa Deyer, Timothy Deyer, Hao-Chih Lee, Yang Yang, Justine Lee, Zahi A. Fayad, Brett Hayden, Valentin Fauveau, Mingqian Huang, XueYan Mei:
Automated measurements of leg length on radiographs by deep learning. BIBE 2022: 17-22 - [c3]Zelong Liu, Louisa Deyer, Arnold Yang, Steven Liu, Jingqi Gong, Yang Yang, Mingqian Huang, Amish Doshi, Meng Lu, Denise Lee, Timothy Deyer, XueYan Mei:
Automated machine learning-based radiomics analysis versus deep learning-based classification for thyroid nodule on ultrasound images: a multi-center study. BIBE 2022: 23-28
2010 – 2019
- 2017
- [c2]XueYan Mei, Xiaomeng Dong, Timothy Deyer, Jingyi Zeng, Theodore B. Trafalis, Yan Fang:
Thyroid Nodule Benignty Prediction by Deep Feature Extraction. BIBE 2017: 241-245 - 2013
- [c1]XueYan Mei, Long Yu:
An Adaptive Hybrid Spread Spectrum System Design and Anti-jamming Capability Analysis. HPCC/EUC 2013: 226-229
Coauthor Index
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