Zelong Liu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 12

Top Venues

CoRR

BIBE

Sensors

Appl. Intell.

Brunel University London, UK (PHD)

Education History

Brunel University London, UK

PHD

Publications

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 (2024)
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 (2024)
Zerui Zhang, Zhichao Sun, Zelong Liu, Bo Du, Rui Yu, Zhou Zhao, Yongchao Xu
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image. CoRR (2024)
Yuliang Gu, Zhichao Sun, Xin Xiao, Yuda Zou, Zelong Liu, Yongchao Xu
Dual Structure-Preserving Image Filterings for Semi-supervised Medical Image Segmentation. CoRR (2023)
Zelong Liu, Xin Zhou, Tao Zhou, Yuanyuan Chen
Foreground Segmentation-Based Density Grading Networks for Crowd Counting. Sensors 23 (19) (2023)
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 (2023)
Rui Song, Zelong Liu, Xingbing Chen, Haining An, Zhiqi Zhang, Xiaoguang Wang, Hao Xu
Label prompt for multi-label text classification. Appl. Intell. 53 (8) (2023)
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 (2023)
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)
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)
Rui Song, Xingbing Chen, Zelong Liu, Haining An, Zhiqi Zhang, Xiaoguang Wang, Hao Xu
Label Mask for Multi-Label Text Classification. CoRR (2021)
Mengli He, Yue Li, Xiaofei Wang, Zelong Liu
NOMA resource allocation method in IoV based on prioritized DQN-DDPG network. EURASIP J. Adv. Signal Process. 2021 (1) (2021)
Biao Wang, Yang Liu, Zelong Liu, Maozhen Li, Man Qi
Topic selection in latent dirichlet allocation. FSKD (2014)
Wenyan Liu, Hong Ding, Xiaotao Huang, Zelong Liu
Analysis of TOA estimation using the received signal characteristics in IR UWB ranging with energy detection receiver. WCSP (2012)
Wenyan Liu, Hong Ding, Xiaotao Huang, Zelong Liu
TOA Estimation in IR UWB Ranging with Energy Detection Receiver Using Received Signal Characteristics. IEEE Commun. Lett. 16 (5) (2012)
Zelong Liu, Maozhen Li, Yang Liu, Mahesh Ponraj
Performance evaluation of Latent Dirichlet Allocation in text mining. FSKD (2011)
Suhel Hammoud, Maozhen Li, Yang Liu, Nasullah Khalid Alham, Zelong Liu
MRSim: A discrete event based MapReduce simulator. FSKD (2010)

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Publication Activity (10 Years)

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Zelong Liu