Các bài viết có thể truy cập công khai - Mingxia LiuTìm hiểu thêm
Không có ở bất kỳ nơi nào: 13
Distribution-guided Network Thresholding for Functional Connectivity Analysis in fMRI-based Brain Disorder Identification
Z Wang, B Jie, C Feng, T Wang, W Bian, X Ding, W Zhou, M Liu
IEEE Journal of Biomedical and Health Informatics 26 (4), 1602-1613, 2022
Các cơ quan ủy nhiệm: US National Science Foundation, National Natural Science Foundation of China
Reliability-based Robust Multi-atlas Label Fusion for Brain MRI Segmentation
L Sun, C Zu, W Shao, J Guang, D Zhang, M Liu
Artificial Intelligence in Medicine 96, 12-24, 2019
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Hypergraph Regularized Sparse Feature Learning
M Liu, J Zhang, X Guo, L Cao
Neurocomputing 237, 185-192, 2017
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Auroral Event Representation based on the N-ary Fusion of Multiple Oriented Energies
J Zhang, Q Wang, Z Hu, M Liu
Neurocomputing 253, 42-48, 2017
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Tensor-based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-state fMRI
D Yao, E Yang, H Guan, J Sui, Z Zhang, M Liu
International Conference on Medical Image Computing and Computer-Assisted …, 2021
Các cơ quan ủy nhiệm: US National Institutes of Health, National Natural Science Foundation of China
Consistent Connectome Landscape Mining for Cross-Site Brain Disease Identification using Functional MRI
M Wang, D Zhang, J Huang, M Liu, Q Liu
Medical Image Analysis, 102591, 2022
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Constructing high-order dynamic functional connectivity networks from resting-state fMRI for brain dementia identification
C Feng, B Jie, X Ding, D Zhang, M Liu
Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Estimating High-order Brain Functional Networks by Correlation-Preserving Embedding
H Su, L Zhang, L Qiao, M Liu
Medical & Biological Engineering & Computing 60 (10), 2813-2823, 2022
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Cost-Sensitive Meta-Learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI
H Guan, Y Liu, S Xiao, L Yue, M Liu
International Conference on Medical Image Computing and Computer-Assisted …, 2021
Các cơ quan ủy nhiệm: US National Institutes of Health
Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification
P Dong, B Jie, L Kai, X Ding, W Bian, M Liu
International Workshop on Machine Learning in Medical Imaging, 674-681, 2021
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Triplet-Constrained Deep Hashing for Chest X-ray Image Retrieval in COVID-19 Assessment
L Wang, Q Wang, X Wang, Y Ma, L Zhang, M Liu
Neural Networks 173, 106182, 2024
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis
L Wang, Q Wang, X Wang, Y Ma, L Qiao, M Liu
International Workshop on Machine Learning in Medical Imaging, 407-416, 2023
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI
J Zhang, X Wang, Q Wang, L Qiao, M Liu
International Workshop on Machine Learning in Medical Imaging, 43-52, 2023
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Có tại một số nơi: 119
Domain Adaptation for Medical Image Analysis: A Survey
H Guan, M Liu
IEEE Transactions on Biomedical Engineering 69 (3), 1173-1185, 2022
Các cơ quan ủy nhiệm: US National Institutes of Health
Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer’s Disease Diagnosis using Structural MRI
C Lian, M Liu, J Zhang, D Shen
IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (4), 880-893, 2020
Các cơ quan ủy nhiệm: US National Institutes of Health
Landmark-based Deep Multi-Instance Learning for Brain Disease Diagnosis
M Liu, J Zhang, E Adeli, D Shen
Medical Image Analysis 43, 157-168, 2018
Các cơ quan ủy nhiệm: US National Institutes of Health
Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer’s Disease Diagnosis
M Liu, J Zhang, E Adeli, D Shen
IEEE Transactions on Biomedical Engineering 66 (5), 1195-1206, 2019
Các cơ quan ủy nhiệm: US National Institutes of Health
Synthesizing Missing PET from MRI with Cycle-Consistent Generative Adversarial Networks for Alzheimer’s Disease Diagnosis
Y Pan, M Liu, C Lian, T Zhou, Y Xia, D Shen
MICCAI 2018, 455-463, 2018
Các cơ quan ủy nhiệm: US Department of Defense, US National Institutes of Health, National Natural …
Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment
M Liu, D Zhang, D Shen
IEEE Transactions on Medical Imaging 35 (6), 1463-1474, 2016
Các cơ quan ủy nhiệm: US National Institutes of Health, National Natural Science Foundation of China
Detecting Anatomical Landmarks from Limited Medical Imaging Data using Two-Stage Task-Oriented Deep Neural Networks
J Zhang, M Liu, D Shen
IEEE Transactions on Image Processing 26 (10), 4753-4764, 2017
Các cơ quan ủy nhiệm: US National Institutes of Health
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