Shujun Liang
Orcid: 0000-0002-9567-0407
According to our database1,
Shujun Liang
authored at least 13 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Cross-Domain Mutual-Assistance Learning Framework for Fully Automated Diagnosis of Primary Tumor in Nasopharyngeal Carcinoma.
IEEE Trans. Medical Imaging, November, 2024
Cryptanalysis and Improvement of Several Identity-Based Authenticated and Pairing-Free Key Agreement Protocols for IoT Applications.
Sensors, 2024
nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species.
NeuroImage, 2024
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques.
Comput. Medical Imaging Graph., 2024
Cellular traffic forecasting based on inverted transformer for mobile perception dual-level base station sleep control.
Ad Hoc Networks, 2024
2023
Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Research on data load balancing technology of massive storage systems for wearable devices.
Digit. Commun. Networks, 2022
2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images.
IEEE Trans. Medical Imaging, 2020
IEEE Access, 2020
2019
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks.
Medical Image Anal., 2019
2018
Backbone Network Traffic Prediction Based on Modified EEMD and Quantum Neural Network.
Wirel. Pers. Commun., 2018
2017
Nonlocal total variation based on symmetric Kullback-Leibler divergence for the ultrasound image despeckling.
BMC Medical Imaging, 2017