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
1212018
Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment
M Liu, D Zhang, D Shen
IEEE Trans. on Medical Imaging 35 (6), 1463-1474, 2016
1102016
Detecting Anatomical Landmarks from Limited Medical Imaging Data using Two-Stage Task-Oriented Deep Neural Networks
J Zhang, M Liu, D Shen
IEEE Trans. on Image Processing 26 (10), 4753-4764, 2017
922017
Domain Transfer Learning for MCI Conversion Prediction
B Cheng, M Liu, D Zhang, BC Munsell, D Shen
IEEE Trans. on Biomedical Engineering 62 (7), 1805-1817, 2015
922015
Two-Stage Cost-Sensitive Learning for Software Defect Prediction
M Liu, L Miao, D Zhang
IEEE Trans. on Reliability 63 (2), 676-686, 2014
872014
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 Trans. on Biomedical Engineering 63 (7), 1473-1482, 2016
792016
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 Trans. on Pattern Analysis and Machine Intelligence 42 (4), 880-893, 2020
782020
View-Centralized Multi-Atlas Classification for Alzheimer's Disease Diagnosis
M Liu, D Zhang, D Shen
Human Brain Mapping 36 (5), 1847-1865, 2015
772015
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
682017
Pairwise Constraint-Guided Sparse Learning for Feature Selection
M Liu, D Zhang
IEEE Trans. on Cybernetics 46 (1), 298-310, 2016
672016
Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification
M Liu, D Zhang, S Chen, H Xue
IEEE Trans. on Pattern Analysis and Machine Intelligence 38 (11), 2335-2341, 2016
622016
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
582017
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
582016
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
572018
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
522015
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
502018
Attribute Relation Learning for Zero-shot Classification
M Liu, D Zhang, S Chen
Neurocomputing 139, 34-46, 2014
472014
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
452018
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
402019
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 Trans. on Biomedical Engineering 66 (5), 1195-1206, 2019
402019
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Articles 1–20