Liangliang Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Convolutional Neural Network

Ischemic Stroke

Image Segmentations

Top Venues

IEEE J. Biomed. Health Informatics

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Liangliang Liu, Ying Wang, Pei Zhang, Hongbo Qiao, Tong Sun, Hui Zhang, Xue Xu, Hongcai Shang
Collaborative Transfer Network for Multi-Classification of Breast Cancer Histopathological Images. IEEE J. Biomed. Health Informatics 28 (1) (2024)
Pei Zhang, Zhihong Liu, Liangliang Liu
A Hybrid Feature Fusion Network for Predicting HER2 Status on H &E-Stained Histopathology Images. ISBRA (2) (2024)
Xiangyu Li, Liangliang Liu
Patch-Based Coupled Attention Network to Predict MSI Status in Colon Cancer. ISBRA (2) (2024)
Liangliang Liu, Zhihong Liu, Jing Chang, Xue Xu
A multi-modal extraction integrated model for neuropsychiatric disorders classification. Pattern Recognit. 155 (2024)
Liangliang Liu, Jing Chang, Pei Zhang, Hongbo Qiao, Shufeng Xiong
SASG-GCN: Self-Attention Similarity Guided Graph Convolutional Network for Multi-Type Lower-Grade Glioma Classification. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Liangliang Liu, Jing Chang, Zhihong Liu, Pei Zhang, Xue Xu, Hongcai Shang
Hybrid Contextual Semantic Network for Accurate Segmentation and Detection of Small-Size Stroke Lesions From MRI. IEEE J. Biomed. Health Informatics 27 (8) (2023)
Liangliang Liu, Jing Chang, Gongbo Liang, Shufeng Xiong
Simulated Quantum Mechanics-Based Joint Learning Network for Stroke Lesion Segmentation and TICI Grading. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Liangliang Liu, Pei Zhang, Gongbo Liang, Shufeng Xiong, Jianxin Wang, Guang Zheng
A spatiotemporal correlation deep learning network for brain penumbra disease. Neurocomputing 520 (2023)
Jianhong Cheng, Wei Zhao, Jin Liu, Xingzhi Xie, Shangjie Wu, Liangliang Liu, Hailin Yue, Junjian Li, Jianxin Wang, Jun Liu
Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Liangliang Liu, Shaojie Tang, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Liangliang Liu, Yu-Ping Wang, Yi Wang, Pei Zhang, Shufeng Xiong
An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders. Medical Image Anal. 81 (2022)
Liangliang Liu, Lukasz A. Kurgan, Fang-Xiang Wu, Jianxin Wang
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease. Medical Image Anal. 65 (2020)
Liangliang Liu, Shaowu Chen, Fuhao Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI. Neural Comput. Appl. 32 (11) (2020)
Liangliang Liu, Shaowu Chen, Xiaofeng Zhu, Xing-Ming Zhao, Fang-Xiang Wu, Jianxin Wang
Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities. Neurocomputing 384 (2020)
Liangliang Liu, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images. IEEE J. Biomed. Health Informatics 24 (11) (2020)
Liangliang Liu, Jianhong Cheng, Quan Quan, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
A survey on U-shaped networks in medical image segmentations. Neurocomputing 409 (2020)
Ying Yu, Min Li, Liangliang Liu, Zhihui Fei, Fang-Xiang Wu, Jianxin Wang
Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN. J. Biomed. Informatics 91 (2019)
Ying Yu, Min Li, Liangliang Liu, Fang-Xiang Wu, Jianxin Wang
Tentative diagnosis prediction via deep understanding of patient narratives. BIBM (2019)
Jianhong Cheng, Jin Liu, Liangliang Liu, Yi Pan, Jianxin Wang
Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution. BIBM (2019)
Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang
Clinical big data and deep learning: Applications, challenges, and future outlooks. Big Data Min. Anal. 2 (4) (2019)
Liangliang Liu, Fang-Xiang Wu, Jianxin Wang
Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation. Neurocomputing 350 (2019)
Liangliang Liu, Shuai Yang, Li Meng, Min Li, Jianxin Wang
Multi-scale Deep Convolutional Neural Network for Stroke Lesions Segmentation on CT Images. BrainLes@MICCAI (1) (2018)
Liangliang Liu, Jianxin Wang, Min Li, Fang-Xiang Wu, Hong-Dong Li, Ying Yu, Zhihui Fei
An interpretable model for predicting side effects of analgesics for osteoarthritis. BIBM (2017)