Liang Zhao

19 papers Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
ECGFM: A foundation model for ECG analysis trained on a multi-center million-ECG dataset.
Inf. Fusion
Shaoting Zhang, Yishan Du, Wenji Wang, Xianying He, Fangfang Cui, Liang Zhao, Bei Wang, Zhiqiang Hu, Ziqiang Wang, Qing Xia, Tian Shen, Jie Zhao
2025 J jnl
KOM: A Multi-Agent Artificial Intelligence System for Precision Management of Knee Osteoarthritis (KOA).
CoRR
WeiZhi Liu, Xi Chen, Zekun Jiang, Liang Zhao, Kunyuan Jiang, Ruisi Tang, Li Wang, Mingke You, Hanyu Zhou, Hongyu Chen, Qiankun Xiong, Yong Nie, Kang Li, Jian Li
2023 J jnl
Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation.
CoRR
Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris N. Metaxas
2023 — conf
Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation.
ISBI
Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris N. Metaxas
2023 J jnl
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning.
Medical Image Anal.
Yiwei Wang, Wenjun Xia, Zhennan Yan, Liang Zhao, Xiaohe Bian, Chang Liu, Zhengnan Qi, Shaoting Zhang, Zisheng Tang
2021 J jnl
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning.
Medical Image Anal.
Yang Qu, Xiaomin Li, Zhennan Yan, Liang Zhao, Lichi Zhang, Chang Liu, Shuaining Xie, Kang Li, Dimitris N. Metaxas, Wen Wu, Yongqiang Hao, Kerong Dai, Shaoting Zhang, Xiaofeng Tao, Songtao Ai
2020 J jnl
A practical PET/CT data visualization method with dual-threshold PET colorization and image fusion.
Comput. Biol. Medicine
Yu Liu, Chao Zhang, Chang Li, Juan Cheng, Yadong Zhang, Huiqin Xu, Tao Song, Liang Zhao, Xun Chen
2020 J jnl
Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model.
IEEE Trans. Medical Imaging
Yizhi Chen, Yunhe Gao, Kang Li, Liang Zhao, Jun Zhao
2019 — conf
Multi-resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation.
MICCAI (2)
Yunhe Gao, Chang Liu, Liang Zhao
2018 — conf
A deep-learning based automatic pulmonary nodule detection system.
Computer-Aided Diagnosis
Yiyuan Zhao, Liang Zhao, Zhennan Yan, Matthias Wolf, Yiqiang Zhan
2018 — conf
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation.
ISBI
Chaowei Tan, Liang Zhao, Zhennan Yan, Kang Li, Dimitris N. Metaxas, Yiqiang Zhan
2018 — conf
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.
MICCAI (1)
Yu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Sungmin Hong, Gerardo Hermosillo, Tianming Liu, Xiang Sean Zhou, Yiqiang Zhan
2016 — conf
Identification of Water and Fat Images in Dixon MRI Using Aggregated Patch-Based Convolutional Neural Networks.
Patch-MI@MICCAI
Liang Zhao, Yiqiang Zhan, Dominik Nickel, Matthias Fenchel, Berthold Kiefer, Xiang Sean Zhou
2016 — conf
Rapid virtual stenting for intracranial aneurysms.
Image-Guided Procedures
Liang Zhao, Danyang Chen, Zihe Chen, Xiangyu Wang, Nikhil Paliwal, Jianping Xiang, Hui Meng, Jason J. Corso, Jinhui Xu
2015 — conf
Automatic Collimation Detection in Digital Radiographs with the Directed Hough Transform and Learning-Based Edge Detection.
Patch-MI@MICCAI
Liang Zhao, Zhigang Peng, Klaus Finkler, Anna K. Jerebko, Jason J. Corso, Xiang Sean Zhou
2015 J jnl
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.
Comput. Intell. Neurosci.
Adriënne M. Mendrik, Koen L. Vincken, Hugo J. Kuijf, Marcel Breeuwer, Willem H. Bouvy, Jeroen de Bresser, Amir Alansary, Marleen de Bruijne, Aaron Carass, Ayman El-Baz, Amod Jog, Ranveer Katyal, Ali R. Khan, Fedde van der Lijn, Qaiser Mahmood, Ryan Mukherjee, Annegreet van Opbroek, Sahil Paneri, Sérgio Pereira, Mikael Persson, Martin Rajchl, Duygu Sarikaya, Örjan Smedby, Carlos A. Silva, Henri A. Vrooman, Saurabh Vyas, Chunliang Wang, Liang Zhao, Geert Jan Biessels, Max A. Viergever
2015 J jnl
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Medical Imaging
Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput
2014 J jnl
Brain tumor detection and segmentation in a CRF (conditional random fields) framework with pixel-pairwise affinity and superpixel-level features.
Int. J. Comput. Assist. Radiol. Surg.
Wei Wu, Albert Y. C. Chen, Liang Zhao, Jason J. Corso
2013 — conf
Semi-automatic Brain Tumor Segmentation by Constrained MRFs Using Structural Trajectories.
MICCAI (3)
Liang Zhao, Wei Wu, Jason J. Corso