Liangliang Liu

发表

An interpretable boosting model to predict side effects of analgesics for osteoarthritis

Yi Pan, Min Li, Jianxin Wang, 2018, BMC Systems Biology.

A double cascaded framework based on 3D SEAU-Net for kidney and kidney tumor Segmentation

Jianxin Wang, Yi Pan, Jianhong Cheng, 2019, Submissions to the 2019 Kidney Tumor Segmentation Challenge: KiTS19.

LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features

Ying Wang, Liangliang Liu, G. Liang, 2022, Frontiers in Neuroinformatics.

Decomposition-Based Correlation Learning for Multi-Modal MRI-Based Classification of Neuropsychiatric Disorders

Y. Wang, Liangliang Liu, Ying Wang, 2022, Frontiers in Neuroscience.

Alzheimer ’ s Disease Classification Using 2 D Convolutional Neural Networks

Nathan Jacobs, Liangliang Liu, Xin Xing, 2022 .

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images

Jianxin Wang, Xingzhi Xie, Wei Zhao, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A spatiotemporal correlation deep learning network for brain penumbra disease

Liangliang Liu, G. Liang, Pei Zhang, 2022, Neurocomputing.

Alzheimer’s Disease Classification Using 2D Convolutional Neural Networks

Nathan Jacobs, Liangliang Liu, Xin Xing, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A survey on U-shaped networks in medical image segmentations

Jianxin Wang, Fang-Xiang Wu, Yu-Ping Wang, 2020, Neurocomputing.

An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification

Shaojie Tang, Yu-Ping Wang, Jianxin Wang, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Effective Convolutional Neural Network for Classifying Red Blood Cells in Malaria Diseases

Jianxin Wang, Quan Quan, Liangliang Liu, 2020, Interdisciplinary Sciences: Computational Life Sciences.

Clinical big data and deep learning: Applications, challenges, and future outlooks

Yaohang Li, Min Li, Liangliang Liu, 2019, Big Data Min. Anal..

Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images

Jianxin Wang, Yu-Ping Wang, Liangliang Liu, 2020, IEEE Journal of Biomedical and Health Informatics.

Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease

Lukasz Kurgan, Jianxin Wang, Fang-Xiang Wu, 2020, Medical Image Anal..

Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI

Yi Pan, Fuhao Zhang, Fang-Xiang Wu, 2019, Neural Computing and Applications.

Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation

Jianxin Wang, Fang-Xiang Wu, Liangliang Liu, 2019, Neurocomputing.

EEG Based Depression Recognition by Combining Functional Brain Network and Traditional Biomarkers

Shuting Sun, Xiaowei Li, Liangliang Liu, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution

Yi Pan, Jin Liu, Jianxin Wang, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A joint multi-modal learning method for early-stage knee osteoarthritis disease classification

H. Qiao, Liangliang Liu, Qingzhi Ma, 2023, Heliyon.

Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN

Ying Yu, Fang-Xiang Wu, Jianxin Wang, 2019, J. Biomed. Informatics.

A correlation graph attention network for classifying chromosomal instabilities from histopathology whole-slide images

Y. Wang, Liangliang Liu, Hebing Liu, 2023, iScience.

Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI

Jianxin Wang, Yi Pan, Fang-Xiang Wu, 2019, Neural Computing and Applications.

Co-optimization Learning Network for MRI Segmentation of Ischemic Penumbra Tissues

Shufeng Xiong, Jing Zhang, Hui Zhang, 2021, Frontiers in Neuroinformatics.

An Effective Convolutional Neural Network for Classifying Red Blood Cells in Malaria Diseases

Quan Quan, Jianxin Wang, Liangliang Liu, 2020, Interdisciplinary Sciences: Computational Life Sciences.

Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities

Xiaofeng Zhu, Jianxin Wang, Fang-Xiang Wu, 2020, Neurocomputing.

Clinical big data and deep learning: Applications, challenges, and future outlooks

Yaohang Li, Jianxin Wang, Liangliang Liu, 2019, Big Data Min. Anal..

Multi-scale Deep Convolutional Neural Network for Stroke Lesions Segmentation on CT Images

Jianxin Wang, Li Meng, Shuai Yang, 2018, BrainLes@MICCAI.

Clinical big data and deep learning: Applications, challenges, and future outlooks

Yaohang Li, Jianxin Wang, Liangliang Liu, 2019, Big Data Min. Anal..