Wei Shao
Orcid: 0000-0003-1476-2068Affiliations:
- Nanjing University of Aeronautics and Astronautics, School of Computer Science and Technology, China
According to our database1,
Wei Shao
authored at least 58 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
T-S2Inet: Transformer-based sequence-to-image network for accurate nanopore sequence recognition.
Bioinform., February, 2024
CD-CTFM: A Lightweight CNN-Transformer Network for Remote Sensing Cloud Detection Fusing Multiscale Features.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Multi-Discriminator Active Adversarial Network for Multi-Center Brain Disease Diagnosis.
IEEE Trans. Big Data, December, 2023
Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data.
IEEE Trans. Medical Imaging, October, 2023
IEEE Trans. Big Data, October, 2023
Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer's Disease diagnosis.
Medical Image Anal., October, 2023
FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers.
IEEE Trans. Medical Imaging, September, 2023
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
Deep Multi-Modal Discriminative and Interpretability Network for Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, May, 2023
Transport-Based Anatomical-Functional Metric Learning for Liver Tumor Recognition Using Dual-View Dynamic CEUS Imaging.
IEEE Trans. Biomed. Eng., March, 2023
Bioinform., January, 2023
Multi-scale multi-hierarchy attention convolutional neural network for fetal brain extraction.
Pattern Recognit., 2023
Int. J. Autom. Comput., 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images.
Proceedings of the Information Processing in Medical Imaging, 2023
2022
IEEE Trans. Medical Imaging, 2022
Evaluating the benefits of picking and packing planning integration in e-commerce warehouses.
Eur. J. Oper. Res., 2022
Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data.
BMC Bioinform., 2022
Identify connectome between genotypes and brain network phenotypes via deep self-reconstruction sparse canonical correlation analysis.
Bioinform., 2022
Briefings Bioinform., 2022
Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
Efficient Metric Learning with Graph Transformer for Accurate Colorectal Cancer Staging.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
Identify Complex Imaging Genetic Patterns via Fusion Self-Expressive Network Analysis.
IEEE Trans. Medical Imaging, 2021
Weakly Supervised Deep Ordinal Cox Model for Survival Prediction From Whole-Slide Pathological Images.
IEEE Trans. Medical Imaging, 2021
Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Int. J. Autom. Comput., 2021
<i>BrcaSeg</i>: A Deep Learning Approach for Tissue Quantification and Genomic Correlations of Histopathological Images.
Genom. Proteom. Bioinform., 2021
Genom. Proteom. Bioinform., 2021
Applying interpretable deep learning models to identify chronic cough patients using EHR data.
Comput. Methods Programs Biomed., 2021
TPSC: a module detection method based on topology potential and spectral clustering in weighted networks and its application in gene co-expression module discovery.
BMC Bioinform., 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Deep Self-Reconstruction Sparse Canonical Correlation Analysis For Brain Imaging Genetics.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
IEEE Trans. Medical Imaging, 2020
Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis.
IEEE Trans. Medical Imaging, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.
IEEE J. Biomed. Health Informatics, 2020
High-Order Feature Learning for Multi-Atlas Based Label Fusion: Application to Brain Segmentation With MRI.
IEEE Trans. Image Process., 2020
Querying Representative and Informative Super-Pixels for Filament Segmentation in Bioimages.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Medical Image Anal., 2020
Improving the Certified Robustness of Neural Networks via Consistency Regularization.
CoRR, 2020
Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters.
CoRR, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.
CoRR, 2020
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease.
Comput. Medical Imaging Graph., 2020
2019
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.
NeuroImage, 2019
Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.
Bioinform., 2019
Artif. Intell. Medicine, 2019
Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Deep model-based feature extraction for predicting protein subcellular localizations from bio-images.
Frontiers Comput. Sci., 2017
High-order boltzmann machine-based unsupervised feature learning for multi-atlas segmentation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Human cell structure-driven model construction for predicting protein subcellular location from biological images.
Bioinform., 2016