Jun Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 67

Top Topics

Convolutional Network

Diffusion Models

Disease Diagnosis

Anatomical Landmarks

Top Venues

Medical Image Anal.

Medical Imaging: Computer-Aided Diagnosis

IEEE Trans. Biomed. Eng.

Publications

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 92 (2024)
Cong Wang, Kuan Tian, Yonghang Guan, Jun Zhang, Zhiwei Jiang, Fei Shen, Xiao Han, Qing Gu, Wei Yang
Ensembling Diffusion Models via Adaptive Feature Aggregation. CoRR (2024)
Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Yang Wei
VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation. ICLR (2024)
Fei Shen, Hu Ye, Sibo Liu, Jun Zhang, Cong Wang, Xiao Han, Wei Yang
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models. CoRR (2024)
Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Yang Wei
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. ICLR (2024)
Xiyue Wang, Jun Zhang, Sen Yang, Jingxi Xiang, Feng Luo, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images. Medical Image Anal. 84 (2023)
Feng Luo, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach. CoRR (2023)
Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang
Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. ACM Multimedia (2023)
Shengrui Li, Yining Zhao, Jun Zhang, Ting Yu, Ji Zhang, Yue Gao
High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Jinxi Xiang, Jun Zhang
Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification. ICLR (2023)
Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
Effortless Cross-Platform Video Codec: A Codebook-Based Method. CoRR (2023)
Jinxi Xiang, Xiyue Wang, Xinran Wang, Jun Zhang, Sen Yang, Wei Yang, Xiao Han, Yueping Liu
Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. Comput. Biol. Medicine 152 (2023)
Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Wei Yang
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. CoRR (2023)
Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. ACM Multimedia (2023)
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, Wei Yang
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models. CoRR (2023)
Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang
RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. AAAI (2023)
Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang
Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. CoRR (2023)
Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information. CoRR (2023)
Wenhua Zhang, Jun Zhang, Xiyue Wang, Sen Yang, Junzhou Huang, Wei Yang, Wenping Wang, Xiao Han
Merging nucleus datasets by correlation-based cross-training. Medical Image Anal. 84 (2023)
Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han
Transformer-based unsupervised contrastive learning for histopathological image classification. Medical Image Anal. 81 (2022)
Wenhua Zhang, Jun Zhang, Sen Yang, Xiyue Wang, Wei Yang, Junzhou Huang, Wenping Wang, Xiao Han
Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images. IEEE Trans. Medical Imaging 41 (12) (2022)
Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning. CoRR (2022)
Zhiyuan He, Jun Zhang, Liaojun Pang, Eryun Liu
PFVNet: A Partial Fingerprint Verification Network Learned From Large Fingerprint Matching. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Sen Yang, Tao Shen, Yuqi Fang, Xiyue Wang, Jun Zhang, Wei Yang, Junzhou Huang, Xiao Han
DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning. Genom. Proteom. Bioinform. 20 (5) (2022)
Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han
Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. CVPR (2022)
Donglin Di, Jun Zhang, Fuqiang Lei, Qi Tian, Yue Gao
Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole Slide Image. IEEE Trans. Image Process. 31 (2022)
Jun Zhang, Mingxia Liu, Ke Lu, Yue Gao
Group-Wise Learning for Aurora Image Classification With Multiple Representations. IEEE Trans. Cybern. 51 (8) (2021)
Donglin Di, Shengrui Li, Jun Zhang, Yue Gao
Ranking-Based Survival Prediction on Histopathological Whole-Slide Images. MICCAI (5) (2020)
Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang
GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering. ECCV (25) (2020)
Mingxia Liu, Jun Zhang, Chunfeng Lian, Dinggang Shen
Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores. IEEE Trans. Cybern. 50 (7) (2020)
Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen
Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization. Medical Image Anal. 60 (2020)
Chunfeng Lian, Mingxia Liu, Jun Zhang, Dinggang Shen
Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI. IEEE Trans. Pattern Anal. Mach. Intell. 42 (4) (2020)
Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. Comput. Biol. Medicine 115 (2019)
Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski
Deep learning for identifying radiogenomic associations in breast cancer. Comput. Biol. Medicine 109 (2019)
Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski
Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics. IEEE Trans. Medical Imaging 38 (2) (2019)
Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen
Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis. IEEE Trans. Biomed. Eng. 66 (5) (2019)
Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen
Landmark-based deep multi-instance learning for brain disease diagnosis. Medical Image Anal. 43 (2018)
Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski
Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics. Medical Imaging: Computer-Aided Diagnosis (2018)
Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data. Medical Imaging: Computer-Aided Diagnosis (2018)
Chunfeng Lian, Jun Zhang, Mingxia Liu, Xiaopeng Zong, Sheng-Che Hung, Weili Lin, Dinggang Shen
Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images. Medical Image Anal. 46 (2018)
Xiaohuan Cao, Jianhua Yang, Jun Zhang, Qian Wang, Pew-Thian Yap, Dinggang Shen
Deformable Image Registration Using a Cue-Aware Deep Regression Network. IEEE Trans. Biomed. Eng. 65 (9) (2018)
Jun Zhang, Sujata V. Ghate, Lars J. Grimm, Ashirbani Saha, Elizabeth Hope Cain, Zhe Zhu, Maciej A. Mazurowski
Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis. Medical Imaging: Computer-Aided Diagnosis (2018)
Chuang Niu, Jun Zhang, Qian Wang, Jimin Liang
Weakly Supervised Semantic Segmentation for Joint Key Local Structure Localization and Classification of Aurora Image. IEEE Trans. Geosci. Remote. Sens. 56 (12) (2018)
Jun Zhang, Elizabeth Hope Cain, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski
Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression. Medical Imaging: Computer-Aided Diagnosis (2018)
Mingxia Liu, Jun Zhang, Dong Nie, Pew-Thian Yap, Dinggang Shen
Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics 22 (5) (2018)
Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski
Breast cancer molecular subtype classification using deep features: preliminary results. Medical Imaging: Computer-Aided Diagnosis (2018)
Jun Zhang, Ashirbani Saha, Brian J. Soher, Maciej A. Mazurowski
Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images. CoRR (2018)
Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images. IEEE J. Biomed. Health Informatics 21 (6) (2017)
Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen
Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features. IEEE Trans. Biomed. Eng. 64 (12) (2017)
Jun Zhang, Mingxia Liu, Dinggang Shen
Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks. IEEE Trans. Image Process. 26 (10) (2017)
Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen
View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data. Medical Image Anal. 36 (2017)
Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, Dinggang Shen
Deformable Image Registration Based on Similarity-Steered CNN Regression. MICCAI (1) (2017)
Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen
Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status. MICCAI (3) (2017)
Jun Zhang, Qian Wang, Zejun Hu, Mingxia Liu
Auroral event representation based on the n-ary fusion of multiple oriented energies. Neurocomputing 253 (2017)
Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski
Deep Learning for identifying radiogenomic associations in breast cancer. CoRR (2017)
Mingxia Liu, Jun Zhang, Xiaochun Guo, Liujuan Cao
Hypergraph regularized sparse feature learning. Neurocomputing 237 (2017)
Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen
Efficient Groupwise Registration for Brain MRI by Fast Initialization. MLMI@MICCAI (2017)
Jun Zhang, Mingxia Liu, Li Wang, Si Chen, Peng Yuan, Jianfu Li, Steve Guo-Fang Shen, Zhen Tang, Ken-Chung Chen, James J. Xia, Dinggang Shen
Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks. MICCAI (2) (2017)
Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. CoRR (2017)
Le An, Ehsan Adeli, Mingxia Liu, Jun Zhang, Dinggang Shen
Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis. MICCAI (2) (2016)
Jun Zhang, Yaozong Gao, Sang Hyun Park, Xiaopeng Zong, Weili Lin, Dinggang Shen
Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image. MLMI@MICCAI (2016)
Mingxia Liu, Jun Zhang, Pew-Thian Yap, Dinggang Shen
Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data. MICCAI (1) (2016)
Jun Zhang, Yue Gao, Yaozong Gao, Brent C. Munsell, Dinggang Shen
Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 35 (12) (2016)
Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images. MCV/BAMBI@MICCAI (2016)
Xiaofeng Zhu, Kim-Han Thung, Jun Zhang, Dinggang Shen
Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis. MLMI@MICCAI (2016)
Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features. IEEE Trans. Biomed. Eng. 63 (9) (2016)
Yue Gao, Weizhi Nie, Anan Liu, Yuting Su, Qionghai Dai, Le An, Fuhai Chen, Liujuan Cao, Shuilong Dong, Yu De, Zan Gao, Jiayun Hao, Rongrong Ji, Haisheng Li, Mingxia Liu, Lili Pan, Yu Qiu, Liwei Wei, Zhao Wang, Hongjiang Wei, Yuyao Zhang, Jun Zhang, Yan Zhang, Yali Zheng
3D Object Retrieval with Multimodal Views. 3DOR@Eurographics (2016)
Zuoyong Li, Le An, Jun Zhang, Li Wang, James J. Xia, Dinggang Shen
Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space. MLMI (2015)
Jun Zhang, Yaozong Gao, Li Wang, Zhen Tang, James J. Xia, Dinggang Shen
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model. MICCAI (3) (2015)