| 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 | 499 | 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 | 429 | 2018 |
| IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models H Ye, J Zhang, S Liu, X Han, W Yang arXiv preprint arXiv:2308.06721, 2023 | 423 | 2023 |
| Transformer-based unsupervised contrastive learning for histopathological image classification X Wang, S Yang, J Zhang, M Wang, J Zhang, W Yang, J Huang, X Han Medical Image Analysis 81, 102559, 2022 | 337 | 2022 |
| 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 | 293 | 2018 |
| Deformable image registration based on similarity-steered CNN regression X Cao, J Yang, J Zhang, D Nie, M Kim, Q Wang, D Shen Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 269 | 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 | 212 | 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 | 209 | 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 | 193 | 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, 2017 | 183 | 2017 |
| 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 | 176 | 2018 |
| 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 | 174 | 2013 |
| Transpath: Transformer-based self-supervised learning for histopathological image classification X Wang, S Yang, J Zhang, M Wang, J Zhang, J Huang, W Yang, X Han Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 165 | 2021 |
| 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 | 159 | 2019 |
| 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 | 157 | 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 | 150 | 2017 |
| 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 | 141 | 2018 |
| Inverse-consistent deep networks for unsupervised deformable image registration J Zhang arXiv preprint arXiv:1809.03443, 2018 | 138 | 2018 |
| RetCCL: clustering-guided contrastive learning for whole-slide image retrieval X Wang, Y Du, S Yang, J Zhang, M Wang, J Zhang, W Yang, J Huang, ... Medical Image Analysis 83, 102645, 2023 | 127 | 2023 |
| 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 | 125 | 2018 |
