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Zelong Liu
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2020 – today
- 2024
- [c8]Zerui Zhang, Zhichao Sun, Zelong Liu, Zhou Zhao, Rui Yu, Bo Du, Yongchao Xu:
Spatial-Aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image. MICCAI (5) 2024: 638-648 - [c7]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 - [i7]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) - [i6]Zelong Liu, Andrew Tieu, Nikhil Patel, Alexander Zhou
VISION-MAE: A Foundation Model for Medical Image Segmentation and Classification. CoRR abs/2402.01034 (2024) - [i5]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 abs/2405.12872 (2024) - 2023
- [j4]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): 8761-8775 (2023) - [j3]Zelong Liu, Xin Zhou, Tao Zhou, Yuanyuan Chen
Foreground Segmentation-Based Density Grading Networks for Crowd Counting. Sensors 23(19): 8177 (2023) - [i4]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) - [i3]Zelong Liu, Alexander Zhou
RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. CoRR abs/2312.05953 (2023) - [i2]Yuliang Gu, Zhichao Sun, Xin Xiao, Yuda Zou, Zelong Liu, Yongchao Xu:
Dual Structure-Preserving Image Filterings for Semi-supervised Medical Image Segmentation. CoRR abs/2312.07264 (2023) - 2022
- [c6]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 - [c5]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 - 2021
- [j2]Mengli He, Yue Li
NOMA resource allocation method in IoV based on prioritized DQN-DDPG network. EURASIP J. Adv. Signal Process. 2021(1): 120 (2021) - [i1]Rui Song, Xingbing Chen, Zelong Liu, Haining An, Zhiqi Zhang, Xiaoguang Wang, Hao Xu:
Label Mask for Multi-Label Text Classification. CoRR abs/2106.10076 (2021)
2010 – 2019
- 2014
- [c4]Biao Wang, Yang Liu, Zelong Liu, Maozhen Li, Man Qi:
Topic selection in latent dirichlet allocation. FSKD 2014: 756-760 - 2013
- [b1]Zelong Liu:
High performance latent dirichlet allocation for text mining. Brunel University London, UK, 2013 - 2012
- [j1]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): 738-741 (2012) - [c3]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: 1-6 - 2011
- [c2]Zelong Liu, Maozhen Li, Yang Liu, Mahesh Ponraj:
Performance evaluation of Latent Dirichlet Allocation in text mining. FSKD 2011: 2695-2698 - 2010
- [c1]Suhel Hammoud, Maozhen Li, Yang Liu, Nasullah Khalid Alham, Zelong Liu:
MRSim: A discrete event based MapReduce simulator. FSKD 2010: 2993-2997
Coauthor Index
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last updated on 2024-11-13 23:47 CET by the dblp team
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