Juan Liu
Orcid: 0000-0001-9344-7415Affiliations:
- Wuhan University, School of Computer Science, Institute of Artificial Intelligence, China
According to our database1,
Juan Liu
authored at least 70 papers
between 2006 and 2023.
Collaborative distances:
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Bibliography
2023
An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images.
BMC Bioinform., December, 2023
A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis.
Artif. Intell. Rev., November, 2023
FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding.
Frontiers Comput. Sci., October, 2023
DeepRT: Predicting compounds presence in pathway modules and classifying into module classes using deep neural networks based on molecular properties.
J. Bioinform. Comput. Biol., August, 2023
Development of Automatic Portable Pathology Scanner and Its Evaluation for Clinical Practice.
J. Digit. Imaging, June, 2023
FingerDTA: A Fingerprint-Embedding Framework for Drug-Target Binding Affinity Prediction.
Big Data Min. Anal., March, 2023
Pyramid Shape-Aware Semi-supervised Learning for Thyroid Nodules Segmentation in Ultrasound Images.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Medical Knowledge Guided Intra-Specimen Reference Network for Cervical Cell Classification.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
LGVIT: Local-Global Vision Transformer for Breast Cancer Histopathological Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023
DDN: Dynamic Aggregation Enhanced Dual-Stream Network for Medical Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023
MASKED-AP: Attention Pyramid Convolutional Neural Network with Mask for Cervical Cell Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023
Classifying Pathological Images Based on Multi-Instance Learning and End-to-End Attention Pooling.
Proceedings of the IEEE International Conference on Acoustics, 2023
SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function Annotation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Nucleic Acids Res., 2022
Int. J. Data Min. Bioinform., 2022
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification.
CoRR, 2022
DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes.
Comput. Biol. Medicine, 2022
CNN-based two-branch multi-scale feature extraction network for retrosynthesis prediction.
BMC Bioinform., 2022
A novel hybrid framework for metabolic pathways prediction based on the graph attention network.
BMC Bioinform., 2022
Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism.
BMC Bioinform., 2022
Channel Spatial Collaborative Attention Network for Fine-Grained Classification of Cervical Cells.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
A Novel IoMT System for Pathological Diagnosis Based on Intelligent Mobile Scanner and Whole Slide Image Stitching Method.
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022
Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Predicting Tumor Mutation Burden of TNBC Based on Nuclei Scores of Histopathological Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
A Context-Guided Attention Method for Integrating Features of Histopathological Patches.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Group-Sparse SVD Models via $L_1$L1- and $L_0$L0-norm Penalties and their Applications in Biological Data.
IEEE Trans. Knowl. Data Eng., 2021
J. Comput. Sci. Technol., 2021
COMNA: Core-attachment based protein complex detection via multiple network alignment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
TransMixNet: An Attention Based Double-Branch Model for White Blood Cell Classification and Its Training with the Fuzzified Training Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
DAAT: A New Method to Train Convolutional Neural Network on Atrial Fibrillation Detection.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
Multi-Class Metabolic Pathway Prediction by Graph Attention-Based Deep Learning Method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition.
BMC Bioinform., 2019
Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data.
Proceedings of the Intelligent Computing Theories and Application, 2019
Predicting Drug-Disease Treatment Associations Based on Topological Similarity and Singular Value Decomposition.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
基于两步聚类和随机森林的乳腺腺管自动识别方法 (Automatic Recognition of Breast Gland Based on Two-step Clustering and Random Forest).
计算机科学, 2018
Prediction of drug-disease treatment relations based on positive and unlabeled samples.
J. Intell. Fuzzy Syst., 2018
Bioinform., 2018
2017
SynBioEcoli: a comprehensive metabolism network of engineered E. coli in three dimensional visualization.
Quant. Biol., 2017
计算机科学, 2017
Differential function analysis: identifying structure and activation variations in dysregulated pathways.
Sci. China Inf. Sci., 2017
Comparative network stratification analysis for identifying functional interpretable network biomarkers.
BMC Bioinform., 2017
Bioinform., 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Semi-supervised graph cut algorithm for drug repositioning by integrating drug, disease and genomic associations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Predicting target-ligand interactions using protein ligand-binding site and ligand substructures.
BMC Syst. Biol., 2015
A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
Integrating peptides' sequence and energy of contact residues information improves prediction of peptide and HLA-I binding with unknown alleles.
BMC Bioinform., 2013
2012
Predicting Binding-Peptide of HLA-I on Unknown Alleles by Integrating Sequence Information and Energies of Contact Residues.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012
2010
Discovering conditional co-regulated protein complexes by integrating diverse data sources.
BMC Syst. Biol., 2010
2009
Proceedings of the Web Information Systems and Mining, International Conference, 2009
Proceedings of the Advances in Neural Networks, 2009
Proceedings of the Advances in Neural Networks, 2009
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009
2007
Improved Variable Precision Rough Set Model and its Application to Distance Learning.
Proceedings of the Computational Intelligence and Security, International Conference, 2007
2006
Proceedings of the Data Mining for Biomedical Applications, PAKDD 2006 Workshop, 2006
Proceedings of the Advances in Natural Computation, Second International Conference, 2006