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 | 482 | 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 | 295 | 2018 |
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 | 207 | 2019 |
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 | 201 | 2016 |
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 | 196 | 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 | 160 | 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 | 127 | 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 | 98 | 2016 |
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 | 78 | 2022 |
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 | 67 | 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 | 65 | 2017 |
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 | 63 | 2022 |
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 | 62 | 2021 |
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 | 62 | 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 | 56 | 2020 |
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 | 54 | 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 | 51 | 2020 |
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 | 45 | 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 | 42 | 2017 |
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network W Lan, Y Dong, Q Chen, R Zheng, J Liu, Y Pan, YPP Chen Briefings in Bioinformatics 23 (1), bbab494, 2022 | 41 | 2022 |