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Jun Zhang
Jun Zhang
Tencent
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Zitiert von
Zitiert von
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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
4522020
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
4032018
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
2702018
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
2532017
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
2042017
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
2002016
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
1962022
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
1732017
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
1732013
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
1722020
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
1582018
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
1542023
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
1502019
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
1502018
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
1372017
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
1342021
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
1312018
Inverse-consistent deep networks for unsupervised deformable image registration
J Zhang
arXiv preprint arXiv:1809.03443, 2018
1282018
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
1132018
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
1072019
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