Liangliang Liu

Orcid: 0000-0002-3454-3535

Affiliations:
  • Central South University, School of Computer Science and Engineering, Changsha, China


According to our database1, Liangliang Liu authored at least 21 papers between 2017 and 2024.

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Timeline

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Bibliography

2024
Collaborative Transfer Network for Multi-Classification of Breast Cancer Histopathological Images.
IEEE J. Biomed. Health Informatics, January, 2024

2023
Hybrid Contextual Semantic Network for Accurate Segmentation and Detection of Small-Size Stroke Lesions From MRI.
IEEE J. Biomed. Health Informatics, August, 2023

SASG-GCN: Self-Attention Similarity Guided Graph Convolutional Network for Multi-Type Lower-Grade Glioma Classification.
IEEE J. Biomed. Health Informatics, July, 2023

Simulated Quantum Mechanics-Based Joint Learning Network for Stroke Lesion Segmentation and TICI Grading.
IEEE J. Biomed. Health Informatics, July, 2023

A spatiotemporal correlation deep learning network for brain penumbra disease.
Neurocomputing, 2023

2022
An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders.
Medical Image Anal., 2022

2021
Co-optimization Learning Network for MRI Segmentation of Ischemic Penumbra Tissues.
Frontiers Neuroinformatics, 2021

2020
Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images.
IEEE J. Biomed. Health Informatics, 2020

Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI.
Neural Comput. Appl., 2020

Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease.
Medical Image Anal., 2020

Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities.
Neurocomputing, 2020

A survey on U-shaped networks in medical image segmentations.
Neurocomputing, 2020

2019
Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN.
J. Biomed. Informatics, 2019

Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation.
Neurocomputing, 2019

Clinical big data and deep learning: Applications, challenges, and future outlooks.
Big Data Min. Anal., 2019

Tentative diagnosis prediction via deep understanding of patient narratives.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Multi-scale Deep Convolutional Neural Network for Stroke Lesions Segmentation on CT Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2017
An interpretable model for predicting side effects of analgesics for osteoarthritis.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017


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