| 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 | 255 | 2018 |
| 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 | 229 | 2020 |
| Deformable image registration based on similarity-steered CNN regression X Cao, J Yang, J Zhang, D Nie, M Kim, Q Wang, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 157 | 2017 |
| Local energy pattern for texture classification using self-adaptive quantization thresholds J Zhang, J Liang, H Zhao IEEE Transactions on Image Processing 22 (1), 31-42, 2013 | 157 | 2013 |
| 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 | 149 | 2017 |
| Detecting anatomical landmarks for fast Alzheimer’s disease diagnosis J Zhang, Y Gao, Y Gao, BC Munsell, D Shen IEEE Transactions on Medical Imaging 35 (12), 2524-2533, 2016 | 146 | 2016 |
| 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, 2018 | 140 | 2018 |
| 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, 2017 | 104 | 2017 |
| 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, 2018 | 103 | 2018 |
| 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 | 97 | 2017 |
| Deep Learning for identifying radiogenomic associations in breast cancer Z Zhu, E Albadawy, A Saha, J Zhang, MR Harowicz, MA Mazurowski Computers in biology and medicine 109, 85-90, 2019 | 88 | 2019 |
| Deformable image registration using a cue-aware deep regression network X Cao, J Yang, J Zhang, Q Wang, PT Yap, D Shen IEEE Transactions on Biomedical Engineering 65 (9), 1900-1911, 2018 | 86 | 2018 |
| Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI with Application to Radiogenomics J Zhang, A Saha, Z Zhu, MA Mazurowski IEEE Transactions on Medical Imaging, 2018 | 75 | 2018 |
| Continuous rotation invariant local descriptors for texton dictionary-based texture classification J Zhang, H Zhao, J Liang Computer Vision and Image Understanding 117 (1), 56-75, 2013 | 74 | 2013 |
| 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 | 72 | 2018 |
| Inverse-consistent deep networks for unsupervised deformable image registration J Zhang arXiv preprint arXiv:1809.03443, 2018 | 66 | 2018 |
| Weakly supervised deep learning for brain disease prognosis using MRI and incomplete clinical scores M Liu, J Zhang, C Lian, D Shen IEEE transactions on cybernetics 50 (7), 3381-3392, 2019 | 54 | 2019 |
| Deep multi-task multi-channel learning for joint classification and regression of brain status M Liu, J Zhang, E Adeli, D Shen International conference on medical image computing and computer-assisted …, 2017 | 53 | 2017 |
| Predicting lymph node metastasis using histopathological images based on multiple instance learning with deep graph convolution Y Zhao, F Yang, Y Fang, H Liu, N Zhou, J Zhang, J Sun, S Yang, B Menze, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 52 | 2020 |
| Multi-task neural networks for joint hippocampus segmentation and clinical score regression L Cao, L Li, J Zheng, X Fan, F Yin, H Shen, J Zhang Multimedia Tools and Applications 77 (22), 29669-29686, 2018 | 48 | 2018 |
