Meiyan Huang
Orcid: 0000-0003-2138-9580
According to our database1,
Meiyan Huang
authored at least 40 papers
between 2012 and 2024.
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Bibliography
2024
Multi-Level Feature Exploration and Fusion Network for Prediction of IDH Status in Gliomas From MRI.
IEEE J. Biomed. Health Informatics, January, 2024
GNSS-R Ocean Wind Speed Retrieval Algorithm Based on Fusing Frequency-Domain Information.
IEEE Geosci. Remote. Sens. Lett., 2024
2023
Multi-view imputation and cross-attention network based on incomplete longitudinal and multimodal data for conversion prediction of mild cognitive impairment.
Expert Syst. Appl., November, 2023
Unsupervised dual-domain disentangled network for removal of rigid motion artifacts in MRI.
Comput. Biol. Medicine, October, 2023
Deep multimodality-disentangled association analysis network for imaging genetics in neurodegenerative diseases.
Medical Image Anal., August, 2023
IEEE Geosci. Remote. Sens. Lett., 2023
Comput. Medical Imaging Graph., 2023
2022
Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma.
IEEE Trans. Medical Imaging, 2022
Structure-constrained combination-based nonlinear association analysis between incomplete multimodal imaging and genetic data for biomarker detection of neurodegenerative diseases.
Medical Image Anal., 2022
Multi-View Imputation and Cross-Attention Network Based on Incomplete Longitudinal and Multi-Modal Data for Alzheimer's Disease Prediction.
CoRR, 2022
2D-3D cascade network for glioma segmentation in multisequence MRI images using multiscale information.
Comput. Methods Programs Biomed., 2022
Instance interactive association graph convolutional network for domain adaptive person re-identification.
Appl. Intell., 2022
2021
SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation.
IEEE Trans. Medical Imaging, 2021
Imaging Genetics Study Based on a Temporal Group Sparse Regression and Additive Model for Biomarker Detection of Alzheimer's Disease.
IEEE Trans. Medical Imaging, 2021
Deep-gated recurrent unit and diet network-based genome-wide association analysis for detecting the biomarkers of Alzheimer's disease.
Medical Image Anal., 2021
Co-sparse reduced-rank regression for association analysis between imaging phenotypes and genetic variants.
Bioinform., 2021
2020
Fuzzy Multilayer Clustering and Fuzzy Label Regularization for Unsupervised Person Reidentification.
IEEE Trans. Fuzzy Syst., 2020
Person Re-Identification Based on Heterogeneous Part-Based Deep Network in Camera Networks.
IEEE Trans. Emerg. Top. Comput. Intell., 2020
Genome-wide association studies of brain imaging data via weighted distance correlation.
Bioinform., 2020
2019
Correlation-Weighted Sparse Representation for Robust Liver DCE-MRI Decomposition Registration.
IEEE Trans. Medical Imaging, 2019
Hippocampus Segmentation Based on Iterative Local Linear Mapping With Representative and Local Structure-Preserved Feature Embedding.
IEEE Trans. Medical Imaging, 2019
Differentiation of Recurrence from Radiation Necrosis in Gliomas Based on the Radiomics of Combinational Features and Multimodality MRI Images.
Comput. Math. Methods Medicine, 2019
Incorporating spatial-anatomical similarity into the VGWAS framework for AD biomarker detection.
Bioinform., 2019
Person Re-Identification via Contextual Region-Based Metric Learning in Camera Sensor Networks.
IEEE Access, 2019
2018
Discriminative Structural Metric Learning for Person Reidentification in Visual Internet of Things.
IEEE Internet Things J., 2018
Learning local embedding deep features for person re-identification in camera networks.
EURASIP J. Wirel. Commun. Netw., 2018
Proceedings of the Communications, Signal Processing, and Systems, 2018
2017
Proceedings of the Communications, Signal Processing, and Systems, 2017
2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
FVGWAS: Fast voxelwise genome wide association analysis of large-scale imaging genetic data.
NeuroImage, 2015
Prediction of CT Substitutes from MR Images Based on Local Sparse Correspondence Combination.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Biomed. Eng., 2014
NeuroImage, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
3D brain tumor segmentation in multimodal MR images based on learning population- and patient-specific feature sets.
Comput. Medical Imaging Graph., 2013
A non-parametric method based on NBNN for automatic detection of liver lesion in CT images.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Content-Based Retrieval of Focal Liver Lesions Using Bag-of-Visual-Words Representations of Single- and Multiphase Contrast-Enhanced CT Images.
J. Digit. Imaging, 2012
Retrieval of Brain Tumors with Region-Specific Bag-of-Visual-Words Representations in Contrast-Enhanced MRI Images.
Comput. Math. Methods Medicine, 2012
Region-specific bag-of-visual-words representations for retrieving brain tumors in contrast-enhanced MRI.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012