Jin Liu
Orcid: 0000-0002-4961-7074Affiliations:
- Central South University, School of Information Science and Engineering, Changsha, China
According to our database1,
Jin Liu
authored at least 51 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
MMGK: Multimodality Multiview Graph Representations and Knowledge Embedding for Mild Cognitive Impairment Diagnosis.
IEEE Trans. Comput. Soc. Syst., February, 2024
Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
2023
BEA-Net: Body and Edge Aware Network With Multi-Scale Short-Term Concatenation for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, October, 2023
Briefings Bioinform., January, 2023
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery.
CoRR, 2023
Multi-atlas Representations Based on Graph Convolutional Networks for Autism Spectrum Disorder Diagnosis.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
2022
A Fully Automated Multimodal MRI-Based Multi-Task Learning for Glioma Segmentation and IDH Genotyping.
IEEE Trans. Medical Imaging, 2022
Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading.
IEEE J. Biomed. Health Informatics, 2022
LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling.
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
Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.
Medical Image Anal., 2022
DARC: Deep adaptive regularized clustering for histopathological image classification.
Medical Image Anal., 2022
MAGE: Automatic diagnosis of autism spectrum disorders using multi-atlas graph convolutional networks and ensemble learning.
Neurocomputing, 2022
DWT-CV: Dense weight transfer-based cross validation strategy for model selection in biomedical data analysis.
Future Gener. Comput. Syst., 2022
Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder.
Comput. Biol. Medicine, 2022
KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network.
Briefings Bioinform., 2022
Graph Convolutional Networks Based on Relational Attention Mechanism for Autism Spectrum Disorders Diagnosis.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022
Integrating Multi-scale Feature Representation and Ensemble Learning for Schizophrenia Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
MEST: Multi-plane Embedding and Spatial-temporal Transformer for Parkinson's disease diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
MMHGE: detecting mild cognitive impairment based on multi-atlas multi-view hybrid graph convolutional networks and ensemble learning.
Clust. Comput., 2021
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021
Proceedings of the 16th International Conference on Computer Science & Education, 2021
Prediction of Egfr Mutation Status in Lung Adenocarcinoma Using Multi-Source Feature Representations.
Proceedings of the IEEE International Conference on Acoustics, 2021
ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
MTFIL-Net: automated Alzheimer's disease detection and MMSE score prediction based on feature interactive learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Improved ASD classification using dynamic functional connectivity and multi-task feature selection.
Pattern Recognit. Lett., 2020
Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification.
Neurocomputing, 2020
Comput. Biol. Chem., 2020
Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks.
BMC Bioinform., 2020
CircR2Cancer: a manually curated database of associations between circRNAs and cancers.
Database J. Biol. Databases Curation, 2020
Joint Learning of Primary and Secondary Labels based on Multi-scale Representation for Alzheimer's Disease Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Identifying Interactions Between Kinases and Substrates Based on Protein-Protein Interaction Network.
J. Comput. Biol., 2019
Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier.
Neurocomputing, 2019
Mild Cognitive Impairment Identification Based on Multi-View Graph Convolutional Networks.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 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
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
MMM: classification of schizophrenia using multi-modality multi-atlas feature representation and multi-kernel learning.
Multim. Tools Appl., 2018
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018
2017
Complex., 2017
2016
Neurocomputing, 2016
2015
Predicting microRNA-disease associations by integrating multiple biological information.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015