Liang Sun
Orcid: 0000-0003-2326-4802Affiliations:
- Nanjing University of Aeronautics and Astronautics, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, China
According to our database1,
Liang Sun
authored at least 26 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement.
IEEE Trans. Medical Imaging, December, 2023
Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data.
IEEE Trans. Medical Imaging, October, 2023
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction.
Pattern Recognit., 2023
2022
An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI.
IEEE J. Biomed. Health Informatics, 2022
Temporal Information-Guided Generative Adversarial Networks for Stimuli Image Reconstruction From Human Brain Activities.
IEEE Trans. Cogn. Dev. Syst., 2022
Comput. Medical Imaging Graph., 2022
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
2021
Dual Attention Multi-Instance Deep Learning for Alzheimer's Disease Diagnosis With Structural MRI.
IEEE Trans. Medical Imaging, 2021
BMC Medical Imaging, 2021
2020
IEEE Trans. Medical Imaging, 2020
Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis.
IEEE Trans. Medical Imaging, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.
IEEE J. Biomed. Health Informatics, 2020
High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI.
IEEE Trans. Image Process., 2020
Medical Image Anal., 2020
An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI.
CoRR, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.
CoRR, 2020
Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.
NeuroImage, 2019
Artif. Intell. Medicine, 2019
2018
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2015
Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015