Ao Li
Orcid: 0000-0001-9910-8967Affiliations:
- University of Science and Technology of China, School of Information Science and Technology, Centers for Biomedical Engineering, China
According to our database1,
Ao Li
authored at least 77 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Cross-Domain Nuclei Detection in Histopathology Images Using Graph-Based Nuclei Feature Alignment.
IEEE J. Biomed. Health Informatics, January, 2024
Multi-modal fusion network with intra- and inter-modality attention for prognosis prediction in breast cancer.
Comput. Biol. Medicine, January, 2024
2023
Dual consistency semi-supervised nuclei detection via global regularization and local adversarial learning.
Neurocomputing, April, 2023
Local augmentation based consistency learning for semi-supervised pathology image classification.
Comput. Methods Programs Biomed., April, 2023
CAMR: cross-aligned multimodal representation learning for cancer survival prediction.
Bioinform., January, 2023
Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023
Multi-view Representation Learning for Histologic Subtype Classification of Lung Cancer.
Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023
CARL: Cross-Aligned Representation Learning for Multi-view Lung Cancer Histology Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Reconstruction-Assisted Feature Encoding Network for Histologic Subtype Classification of Non-Small Cell Lung Cancer.
IEEE J. Biomed. Health Informatics, 2022
TSDLPP: A Novel Two-Stage Deep Learning Framework For Prognosis Prediction Based on Whole Slide Histopathological Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
AIR-Net: A novel multi-task learning method with auxiliary image reconstruction for predicting EGFR mutation status on CT images of NSCLC patients.
Comput. Biol. Medicine, 2022
Global and local attentional feature alignment for domain adaptive nuclei detection in histopathology images.
Artif. Intell. Medicine, 2022
Semi-Supervised Nuclei Detection in Histopathology Images via Location-Aware Adversarial Image Reconstruction.
IEEE Access, 2022
Proceedings of the 5th International Conference on Machine Learning and Natural Language Processing, 2022
Grasp stability assessment through the fusion of visual and tactile signals using deep bilinear network.
Proceedings of the 5th International Conference on Machine Learning and Natural Language Processing, 2022
2021
Coarse-to-Fine Hand-Object Pose Estimation with Interaction-Aware Graph Convolutional Network.
Sensors, 2021
Multimodal Deep Reinforcement Learning with Auxiliary Task for Obstacle Avoidance of Indoor Mobile Robot.
Sensors, 2021
BMC Medical Informatics Decis. Mak., 2021
Inf. Sci., 2021
Semi-HIC: A novel semi-supervised deep learning method for histopathological image classification.
Comput. Biol. Medicine, 2021
PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein-protein interaction information.
Bioinform., 2021
GPDBN: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction.
Bioinform., 2021
PedMiner: a tool for linkage analysis-based identification of disease-associated variants using family based whole-exome sequencing data.
Briefings Bioinform., 2021
Instance-Aware Feature Alignment for Cross-Domain Cell Nuclei Detection in Histopathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
A Novel MKL Method for GBM Prognosis Prediction by Integrating Histopathological Image and Multi-Omics Data.
IEEE J. Biomed. Health Informatics, 2020
LPGNMF: Predicting Long Non-Coding RNA and Protein Interaction Using Graph Regularized Nonnegative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
HetRCNA: A Novel Method to Identify Recurrent Copy Number Alternations from Heterogeneous Tumor Samples Based on Matrix Decomposition Framework.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Dual-Layer Strengthened Collaborative Topic Regression Modeling for Predicting Drug Sensitivity.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Bioinform., 2020
Inferring subgroup-specific driver genes from heterogeneous cancer samples via subspace learning with subgroup indication.
Bioinform., 2020
IEEE Access, 2020
2019
A Multimodal Deep Neural Network for Human Breast Cancer Prognosis Prediction by Integrating Multi-Dimensional Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Multiple Attention Fully Convolutional Network For Automated Ventricle Segmentation in Cardiac Magnetic Resonance Imaging.
J. Medical Imaging Health Informatics, 2019
LSCDFS-MKL: A multiple kernel based method for lung squamous cell carcinomas disease-free survival prediction with pathological and genomic data.
J. Biomed. Informatics, 2019
A novel end-to-end brain tumor segmentation method using improved fully convolutional networks.
Comput. Biol. Medicine, 2019
A novel approach for drug response prediction in cancer cell lines via network representation learning.
Bioinform., 2019
Bioinform., 2019
Adversarially Regularized U-Net-based GANs for Facial Attribute Modification and Generation.
IEEE Access, 2019
IEEE Access, 2019
2018
A novel unsupervised learning model for detecting driver genes from pan-cancer data through matrix tri-factorization framework with pairwise similarities constraints.
Neurocomputing, 2018
Integrating genomic data and pathological images to effectively predict breast cancer clinical outcome.
Comput. Methods Programs Biomed., 2018
Discovering mutated driver genes through a robust and sparse co-regularized matrix factorization framework with prior information from mRNA expression patterns and interaction network.
BMC Bioinform., 2018
Integrated Modeling of GC-Content, Mappability, Tumor Impurity and Aneuploidy for Accurate Detection of Genomic Aberrations.
IEEE Access, 2018
An efficient nonnegative matrix factorization model for finding cancer associated genes by integrating data from genome, transcriptome and interactome.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
2017
A Heterogeneous Network Based Method for Identifying GBM-Related Genes by Integrating Multi-Dimensional Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways.
PeerJ Comput. Sci., 2017
J. Bioinform. Comput. Biol., 2017
Anaconda: AN automated pipeline for somatic COpy Number variation Detection and Annotation from tumor exome sequencing data.
BMC Bioinform., 2017
Prognosis prediction of human breast cancer by integrating deep neural network and support vector machine: Supervised feature extraction and classification for breast cancer prognosis prediction.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
Identification of driver network modules in protein-protein interaction network using patient mutation profiles.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
2016
Improve Glioblastoma Multiforme Prognosis Prediction by Using Feature Selection and Multiple Kernel Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Discovering Recurrent Copy Number Aberrations in Complex Patterns via Non-Negative Sparse Singular Value Decomposition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
DeAnnIso: a tool for online detection and annotation of isomiRs from small RNA sequencing data.
Nucleic Acids Res., 2016
Relevance search for predicting lncRNA-protein interactions based on heterogeneous network.
Neurocomputing, 2016
Neurocomputing, 2016
A Bipartite Network-based Method for Prediction of Long Non-coding RNA-protein Interactions.
Genom. Proteom. Bioinform., 2016
CloneCNA: detecting subclonal somatic copy number alterations in heterogeneous tumor samples from whole-exome sequencing data.
BMC Bioinform., 2016
CSCdb: a cancer stem cells portal for markers, related genes and functional information.
Database J. Biol. Databases Curation, 2016
Heterogeneous network-based propagation algorithm for discovering bladder cancer-related genes.
Proceedings of the 12th International Conference on Natural Computation, 2016
2015
Identification of Genomic Aberrations in Cancer Subclones from Heterogeneous Tumor Samples.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
DeAnnCNV: a tool for online detection and annotation of copy number variations from whole-exome sequencing data.
Nucleic Acids Res., 2015
Bioinform., 2015
A novel method for predicting protein phosphorylation via site-modification network profiles.
Proceedings of the 8th International Conference on Biomedical Engineering and Informatics, 2015
2014
CLImAT: accurate detection of copy number alteration and loss of heterozygosity in impure and aneuploid tumor samples using whole-genome sequencing data.
Bioinform., 2014
Prediction of human disease-specific phosphorylation sites with combined feature selection approach and support vector machine.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
PKIS: computational identification of protein Kinases for experimentally discovered protein Phosphorylation sites.
BMC Bioinform., 2013
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013
2012
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012
Prediction of protein kinase-specific phosphorylation sites using Random forest algorithm.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012
2006
BMC Bioinform., 2006
Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding scheme.
BMC Bioinform., 2006
2005
LOCSVMPSI: a web server for subcellular localization of eukaryotic proteins using SVM and profile of PSI-BLAST.
Nucleic Acids Res., 2005