Mingxia Liu
Mingxia Liu
Verified email at med.unc.edu - Homepage
Title
Cited by
Cited by
Year
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
1272018
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
1122016
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
952017
Domain Transfer Learning for MCI Conversion Prediction
B Cheng, M Liu, D Zhang, BC Munsell, D Shen
IEEE Transactions on Biomedical Engineering 62 (7), 1805-1817, 2015
942015
Two-Stage Cost-Sensitive Learning for Software Defect Prediction
M Liu, L Miao, D Zhang
IEEE Transactions on Reliability 63 (2), 676-686, 2014
912014
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
882020
Inherent Structure Based Multi-View Learning with Multi-template Feature Representation for Alzheimer’s Disease Diagnosis
M Liu, D Zhang, E Adeli-Mosabbeb, D Shen
IEEE Transactions on Biomedical Engineering 63 (7), 1473-1482, 2016
822016
View-Centralized Multi-Atlas Classification for Alzheimer's Disease Diagnosis
M Liu, D Zhang, D Shen
Human Brain Mapping 36 (5), 1847-1865, 2015
782015
View-Aligned Hypergraph Learning for Alzheimer’s Disease Diagnosis with Incomplete Multi-Modality Data
M Liu, J Zhang, PT Yap, D Shen
Medical Image Analysis 36, 123-134, 2017
702017
Pairwise Constraint-Guided Sparse Learning for Feature Selection
M Liu, D Zhang
IEEETransactions on Cybernetics 46 (1), 298-310, 2016
682016
Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification
M Liu, D Zhang, S Chen, H Xue
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (11), 2335 …, 2016
642016
Alzheimer's Disease Diagnosis using Landmark-based Features from Longitudinal Structural MR Images
J Zhang, M Liu, L An, Y Gao, D Shen
IEEE Journal of Biomedical and Health Informatics 21 (6), 1607-1616, 2017
612017
Anatomical Landmark based Deep Feature Representation for MR Images in Brain Disease Diagnosis
M Liu, J Zhang, D Nie, PT Yap, D Shen
IEEE Journal of Biomedical and Health Informatics 22 (5), 1476-1485, 2018
602018
Label-Aligned Multi-Task Feature Learning for Multimodal Classification of Alzheimer’s Disease and Mild Cognitive Impairment
C Zu, B Jie, M Liu, S Chen, D Shen, D Zhang
Brain Imaging and Behavior 10 (4), 1148–1159, 2016
592016
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
542018
Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction
B Cheng, M Liu, HI Suk, D Shen, D Zhang, ADN Initiative
Brain Imaging and Behavior, 1-14, 2015
542015
Attribute Relation Learning for Zero-shot Classification
M Liu, D Zhang, S Chen
Neurocomputing 139, 34-46, 2014
482014
Multi-Channel Multi-Scale Fully Convolutional Network for 3D Perivascular Spaces Segmentation in 7T MR Images
C Lian, J Zhang, M Liu, X Zong, SC Hung, W Lin, D Shen
Medical Image Analysis 46, 106-117, 2018
472018
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
442019
Strength and Similarity Guided Group-level Brain Functional Network Construction for MCI Diagnosis
Y Zhang, H Zhang, X Chen, M Liu, X Zhu, SW Lee, D Shen
Pattern Recognition 88, 421-430, 2019
432019
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