Jin Liu (刘锦)
Jin Liu (刘锦)
Associate Professor, School of Computer Science and Engineering, Central South University
Verified email at - Homepage
Cited by
Cited by
A survey of MRI-based brain tumor segmentation methods
Jin Liu, Min Li, Jianxin Wang, Fang-Xiang Wu, Tianming Liu, Yi Pan
Tsinghua Science and Technology 19 (6), 578-595, 2014
Applications of deep learning to MRI images: A survey
J Liu, Y Pan, M Li, Z Chen, L Tang, C Lu, J Wang
Big Data Mining and Analytics 1 (1), 1-18, 2018
LDAP: a web server for lncRNA-disease association prediction
W Lan, M Li, K Zhao, J Liu, FX Wu, Y Pan, J Wang
Bioinformatics 33 (3), 458-460, 2016
Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier
Yazhou Kong, Jianliang Gao, Yunpei Xu, Yi Pan, Jianxin Wang, Jin Liu
Neurocomputing 324, 63-68, 2019
Classification of alzheimer's disease using whole brain hierarchical network
J Liu, M Li, W Lan, FX Wu, Y Pan, J Wang
IEEE/ACM transactions on computational biology and bioinformatics 15 (2 …, 2018
Complex brain network analysis and its applications to brain disorders: a survey
J Liu, M Li, Y Pan, W Lan, R Zheng, FX Wu, J Wang
Complexity 2017, 2017
Predicting microRNA-disease associations based on improved microRNA and disease similarities
W Lan, J Wang, M Li, J Liu, FX Wu, Y Pan
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 15 …, 2018
Predicting drug–target interaction using positive-unlabeled learning
Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yaohang Li, Fang-Xiang Wu, Yi Pan
Neurocomputing 206, 50-57, 2016
Improving Alzheimer‘s disease classification by combining multiple measures
J Liu, J Wang, Z Tang, B Hu, F Wu, Y Pan
IEEE/ACM transactions on computational biology and bioinformatics 15 (5 …, 2018
Alzheimer's Disease Classification Based on Individual Hierarchical Networks Constructed with 3D Texture Features
Jin Liu, Jianxin Wang, Bin Hu, Fang-Xiang Wu, Yi Pan
IEEE transactions on nanobioscience 16 (6), 428-437, 2017
ILDMSF: inferring associations between long non-coding RNA and disease based on multi-similarity fusion
Q Chen, D Lai, W Lan, X Wu, B Chen, J Liu, YPP Chen, J Wang
IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (3 …, 2021
A Fully Automated Multimodal MRI-based Multi-task Learning for Glioma Segmentation and IDH Genotyping
J Cheng, J Liu, H Kuang, J Wang
IEEE Transactions on Medical Imaging 41 (6), 1520-1532, 2022
LDICDL: LncRNA-disease association identification based on collaborative deep learning
W Lan, D Lai, Q Chen, X Wu, B Chen, J Liu, J Wang, YPP Chen
IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (3 …, 2022
Phase prediction of Ni-base superalloys via high-throughput experiments and machine learning
Z Qin, Z Wang, Y Wang, L Zhang, W Li, J Liu, Z Wang, Z Li, J Pan, L Zhao, ...
Materials Research Letters 9 (1), 32-40, 2021
Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification
J Liu, Y Pan, FX Wu, J Wang
Neurocomputing 400, 322-332, 2020
AIMAFE: Autism spectrum disorder identification with multi-atlas deep feature representation and ensemble learning
Y Wang, J Wang, FX Wu, R Hayrat, J Liu
Journal of Neuroscience Methods 343 (108840), 2020
Improved ASD Classification using Dynamic Functional Connectivity and Multi-task Feature Selection
J Liu, Y Sheng, W Lan, R Guo, Y Wang, J Wang
Pattern Recognition Letters 138, 82-87, 2020
Classification of schizophrenia based on individual hierarchical brain networks constructed from structural MRI images
J Liu, M Li, Y Pan, FX Wu, X Chen, J Wang
IEEE transactions on nanobioscience 16 (7), 600-608, 2017
Inferring LncRNA-disease associations based on graph autoencoder matrix completion
X Wu, W Lan, Q Chen, Y Dong, J Liu, W Peng
Computational biology and chemistry 87, 107282, 2020
Schizophrenia Identification Using Multi-View Graph Measures of Functional Brain Networks
Y Xiang, J Wang, G Tan, FX Wu, J Liu
Frontiers in Bioengineering and Biotechnology 7, 479, 2020
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