| Domain Adaptation for Medical Image Analysis: A Survey H Guan, M Liu IEEE Transactions on Biomedical Engineering 69 (3), 1173-1185, 2022 | 623 | 2022 |
| 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 | 493 | 2020 |
| 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 | 430 | 2018 |
| 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 | 291 | 2019 |
| 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 | 219 | 2018 |
| 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 | 211 | 2016 |
| 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 | 207 | 2017 |
| 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 | 200 | 2015 |
| Latent Representation Learning for Alzheimer’s Disease Diagnosis with Incomplete Multi-modal Neuroimaging and Genetic Data T Zhou, M Liu, KH Thung, D Shen IEEE Transactions on Medical Imaging 38 (10), 2411-2422, 2019 | 190 | 2019 |
| A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis L Zhang, M Wang, M Liu, D Zhang Frontiers in Neuroscience 14, 2020 | 186 | 2020 |
| 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 | 183 | 2017 |
| Identifying Autism Spectrum Disorder with Multi-Site fMRI via Low-Rank Domain Adaptation M Wang, D Zhang, H Jiashuang, PT Yap, D Shen, M Liu IEEE Transactions on Medical Imaging 39 (3), 644-655, 2020 | 165 | 2020 |
| 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 | 157 | 2018 |
| Integration of Temporal and Spatial Properties of Dynamic Connectivity Networks for Automatic Diagnosis of Brain Disease B Jie, M Liu, D Shen Medical Image Analysis 47, 81-94, 2018 | 157 | 2018 |
| Two-Stage Cost-Sensitive Learning for Software Defect Prediction M Liu, L Miao, D Zhang IEEE Transactions on Reliability 63 (2), 676-686, 2014 | 151 | 2014 |
| 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 | 149 | 2017 |
| 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 | 146 | 2016 |
| A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity D Yao, J Sui, M Wang, E Yang, Y Jiaerken, N Luo, PT Yap, M Liu, D Shen IEEE Transactions on Medical Imaging 40 (4), 1279-1289, 2021 | 131 | 2021 |
| Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Accelerated Data in Magnetic Resonance Fingerprinting Z Fang, Y Chen, M Liu, L Xiang, Q Zhang, Q Wang, W Lin, D Shen IEEE Transactions on Medical Imaging 38 (10), 2364-2374, 2019 | 126 | 2019 |
| 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 | 125 | 2019 |
Pew-Thian YapProfessor of Radiology, Biomedical Engineering, and Computer Science, UNC Chapel HillEmail verificata su med.unc.edu