Zelong Liu

According to our database, Zelong Liu authored at least 20 papers between 2010 and 2024.

Collaborative distances:

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

2024

VISION-MAE: A Foundation Model for Medical Image Segmentation and Classification.

Zelong Liu, Andrew Tieu, Nikhil Patel, Alexander Zhou, George Soultanidis, Zahi A. Fayad, Timothy Deyer, Xueyan Mei

CoRR, 2024

MRAnnotator: A Multi-Anatomy Deep Learning Model for MRI Segmentation.

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

CoRR, 2024

VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification.

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

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Spatial-Aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image.

Zerui Zhang, Zhichao Sun, Zelong Liu, Zhou Zhao, Rui Yu, Bo Du, Yongchao Xu

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

P2A: Transforming Proposals to Anomaly Masks.

Huachao Zhu, Zhichao Sun, Zelong Liu, Yongchao Xu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Foreground Segmentation-Based Density Grading Networks for Crowd Counting.

Zelong Liu, Xin Zhou, Tao Zhou, Yuanyuan Chen

Sensors, October, 2023

Label prompt for multi-label text classification.

Rui Song, Zelong Liu, Xingbing Chen, Haining An, Zhiqi Zhang, Xiaoguang Wang, Hao Xu

Appl. Intell., April, 2023

Dual Structure-Preserving Image Filterings for Semi-supervised Medical Image Segmentation.

Yuliang Gu, Zhichao Sun, Xin Xiao, Yuda Zou, Zelong Liu, Yongchao Xu

CoRR, 2023

RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging.

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

CoRR, 2023

Generative AI for Medical Imaging: extending the MONAI Framework.

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

CoRR, 2023

2022

Automated measurements of leg length on radiographs by deep learning.

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

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

Automated machine learning-based radiomics analysis versus deep learning-based classification for thyroid nodule on ultrasound images: a multi-center study.

Zelong Liu, Louisa Deyer, Arnold Yang, Steven Liu, Jingqi Gong, Yang Yang, Mingqian Huang, Amish Doshi, Meng Lu, Denise Lee, Timothy Deyer, XueYan Mei

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2021

NOMA resource allocation method in IoV based on prioritized DQN-DDPG network.

Mengli He, Yue Li, Xiaofei Wang, Zelong Liu

EURASIP J. Adv. Signal Process., 2021

Label Mask for Multi-Label Text Classification.

Rui Song, Xingbing Chen, Zelong Liu, Haining An, Zhiqi Zhang, Xiaoguang Wang, Hao Xu

CoRR, 2021

2014

Topic selection in latent dirichlet allocation.

Biao Wang, Yang Liu, Zelong Liu, Maozhen Li, Man Qi

Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

2013

High performance latent dirichlet allocation for text mining.

Zelong Liu

PhD thesis, 2013

2012

TOA Estimation in IR UWB Ranging with Energy Detection Receiver Using Received Signal Characteristics.

Wenyan Liu, Hong Ding, Xiaotao Huang, Zelong Liu

IEEE Commun. Lett., 2012

Analysis of TOA estimation using the received signal characteristics in IR UWB ranging with energy detection receiver.

Wenyan Liu, Hong Ding, Xiaotao Huang, Zelong Liu

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2012

2011

Performance evaluation of Latent Dirichlet Allocation in text mining.

Zelong Liu, Maozhen Li, Yang Liu, Mahesh Ponraj

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010

MRSim: A discrete event based MapReduce simulator.

Suhel Hammoud, Maozhen Li, Yang Liu, Nasullah Khalid Alham, Zelong Liu

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010