Liang Zhao
Orcid: 0000-0002-7556-8800Affiliations:
- SenseTime Research, Shanghai, China
According to our database1,
Liang Zhao
authored at least 15 papers
between 2013 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning.
Medical Image Anal., April, 2023
2021
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning.
Medical Image Anal., 2021
2020
Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model.
IEEE Trans. Medical Imaging, 2020
A practical PET/CT data visualization method with dual-threshold PET colorization and image fusion.
Comput. Biol. Medicine, 2020
2019
Multi-resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2016
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016
Identification of Water and Fat Images in Dixon MRI Using Aggregated Patch-Based Convolutional Neural Networks.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016
2015
IEEE Trans. Medical Imaging, 2015
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.
Comput. Intell. Neurosci., 2015
Automatic Collimation Detection in Digital Radiographs with the Directed Hough Transform and Learning-Based Edge Detection.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
2014
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., 2014
2013
Semi-automatic Brain Tumor Segmentation by Constrained MRFs Using Structural Trajectories.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013