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ORCIDJun Zhang 0018
◁ ▷ joint publications with coauthor community group 1
- > Home > Persons > Jun Zhang 0018
Publications
- 2024
[j48]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: 103047 (2024)- [c48]Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Yang Wei:
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. ICLR 2024 - [c47]Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Yang Wei:
VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation. ICLR 2024 - [i26]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 abs/2405.17082 (2024) - [i25]Cong Wang, Kuan Tian, Jun Zhang, Yonghang Guan, Feng Luo, Fei Shen, Zhiwei Jiang, Qing Gu, Xiao Han, Wei Yang:
V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation. CoRR abs/2406.02511 (2024) - [i24]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 abs/2407.02482 (2024) - 2023
- [j47]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: 106340 (2023) - [j46]Xiyue Wang, Yuqi Fang, Sen Yang, Delong Zhu, Minghui Wang, Jing Zhang, Jun Zhang, Jun Cheng, Kai-Yu Tong, Xiao Han:
CLC-Net: Contextual and local collaborative network for lesion segmentation in diabetic retinopathy images. Neurocomputing 527: 100-109 (2023) - [j45]Xiyue Wang, Yuexi Du, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han:
RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval. Medical Image Anal. 83: 102645 (2023) - [j44]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: 102703 (2023) - [j43]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: 102705 (2023) - [j42]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): 11008-11023 (2023) - [j41]Jun Zhang, Ming Bao, Zhifei Chen, Jing Zhao, Hong Hou, Jianhua Yang:
Markov chain-based frequency correlation processing algorithm for wideband DOA estimation. Signal Process. 208: 108968 (2023) - [j40]Jun Zhang, Ming Bao, Jianhua Yang, Zhifei Chen, Hong Hou:
DOA Tracking Algorithm Based on AVS Pseudo-Smoothing for Coherent Acoustic Targets. IEEE Trans. Aerosp. Electron. Syst. 59(6): 8175-8193 (2023) - [c46]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: 3570-3578 - [c45]Jinxi Xiang, Jun Zhang:
Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification. ICLR 2023 - [c44]Jinxi Xiang, Kuan Tian, Jun Zhang:
MIMT: Masked Image Modeling Transformer for Video Compression. ICLR 2023 - [c43]Chen Shen, Jun Zhang, Xinggong Liang, Zeyi Hao, Kehan Li, Fan Wang, Zhenyuan Wang, Chunfeng Lian:
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-supervised Contrastive Learning. MICCAI (6) 2023: 528-538 - [c42]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: 632-642 - [c41]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: 7961-7970 - [i23]Fei Kong, Jinxi Xiang, Xiyue Wang, Xinran Wang, Meng Yue, Jun Zhang, Sen Yang, Junhan Zhao, Xiao Han, Yuhan Dong, Yueping Liu:
Federated contrastive learning models for prostate cancer diagnosis and Gleason grading. CoRR abs/2302.06089 (2023) - [i22]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, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, 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. CoRR abs/2303.06274 (2023) - [i21]Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, Wei Yang:
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models. CoRR abs/2308.06721 (2023) - [i20]Yue Lv, Jinxi Xiang, Jun Zhang, Wenming Yang, Xiao Han, Wei Yang:
Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression. CoRR abs/2308.07733 (2023) - [i19]Chen Shen, Jun Zhang, Xinggong Liang, Zeyi Hao, Kehan Li, Fan Wang, Zhenyuan Wang, Chunfeng Lian:
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning. CoRR abs/2308.14030 (2023) - [i18]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 abs/2309.11276 (2023) - [i17]Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Wei Yang:
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models. CoRR abs/2310.06313 (2023) - [i16]Kuan Tian, Yonghang Guan, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang:
Effortless Cross-Platform Video Codec: A Codebook-Based Method. CoRR abs/2310.10292 (2023) - [i15]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 abs/2310.12004 (2023) - 2022
- [j39]Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao:
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis. Bioinform. 38(8): 2178-2186 (2022) - [j38]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): 989-1001 (2022) - [j37]Wenqiong Zhang, Jun Zhang, Ming Bao, Xiao-Ping Zhang, Xiaodong Li:
Multitarget Tracking Based on Dynamic Bayesian Network With Reparameterized Approximate Variational Inference. IEEE Internet Things J. 9(13): 11542-11559 (2022) - [j36]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: 102559 (2022) - [j35]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: 3706-3719 (2022) - [j34]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: 1149-1160 (2022) - [j33]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): 3939-3951 (2022) - [j32]Jun Zhang, Ming Bao, Xiao-Ping Zhang, Zhifei Chen, Jianhua Yang:
DOA Estimation for Heterogeneous Wideband Sources Based on Adaptive Space-Frequency Joint Processing. IEEE Trans. Signal Process. 70: 1657-1672 (2022) - [c40]Junwei Liang, He Zhu, Enwei Zhang, Jun Zhang:
Stargazer: A Transformer-based Driver Action Detection System for Intelligent Transportation. CVPR Workshops 2022: 3159-3166 - [c39]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: 18791-18801 - [c38]Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc-Cuong Pham, Ralph Ewerth, Ran Song, Rengang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei Zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, Yaqian Zhao, Yi Yu, Yingying Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li:
SoccerNet 2022 Challenges Results. MMSports@MM 2022: 75-86 - [c37]He Zhu, Junwei Liang, Chengzhi Lin, Jun Zhang, Jianming Hu:
A Transformer-based System for Action Spotting in Soccer Videos. MMSports@MM 2022: 103-109 - [c36]Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Rongrong Ji, Chunhua Shen:
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining. NeurIPS 2022 - [c35]Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen:
Multi-dataset Training of Transformers for Robust Action Recognition. NeurIPS 2022 - [c34]Chengzhi Lin, Ancong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen:
Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval. NeurIPS 2022 - [c33]Xiyue Wang, Jinxi Xiang, Jun Zhang, Sen Yang, Zhongyi Yang, Ming-Hui Wang, Jing Zhang, Wei Yang, Junzhou Huang, Xiao Han:
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification. NeurIPS 2022 - [i14]Wenhua Zhang, Jun Zhang:
CoNIC Solution. CoRR abs/2203.03415 (2022) - [i13]Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Junzhou Huang, Wei Yang, Junhua Zheng, Xiao Han:
Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning. CoRR abs/2204.03257 (2022) - [i12]Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Chunhua Shen:
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining. CoRR abs/2204.14095 (2022) - [i11]Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen:
Multi-dataset Training of Transformers for Robust Action Recognition. CoRR abs/2209.12362 (2022) - [i10]Chengzhi Lin, Ancong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen:
Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval. CoRR abs/2209.13307 (2022) - [i9]Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc-Cuong Pham, Ralph Ewerth, Ran Song, Rengang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei Zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, Yaqian Zhao, Yi Yu, Yingying Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li:
SoccerNet 2022 Challenges Results. CoRR abs/2210.02365 (2022) - [i8]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 abs/2212.01737 (2022) - 2021
- [j31]Jun Zhang, Zhiyuan Hua, Kezhou Yan, Kuan Tian, Jianhua Yao, Eryun Liu, Mingxia Liu, Xiao Han:
Joint fully convolutional and graph convolutional networks for weakly-supervised segmentation of pathology images. Medical Image Anal. 73: 102183 (2021) - [j30]Jun Zhang, Mingxia Liu, Ke Lu, Yue Gao:
Group-Wise Learning for Aurora Image Classification With Multiple Representations. IEEE Trans. Cybern. 51(8): 4112-4124 (2021) - [c32]Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang, Xiao Han, Yixuan Yuan:
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring. AAAI 2021: 47-54 - [c31]Siqi Yang, Jun Zhang, Junzhou Huang, Brian C. Lovell, Xiao Han:
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels. AAAI 2021: 697-705 - [c30]Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao:
An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data. BIBM 2021: 556-561 - [c29]Jiaxing Chen, Xinyang Jiang, Fudong Wang, Jun Zhang, Feng Zheng, Xing Sun, Wei-Shi Zheng:
Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification. CVPR 2021: 8146-8155 - [c28]Sen Yang, Feng Luo, Jun Zhang, Xiyue Wang:
Sk-Unet Model with Fourier Domain for Mitosis Detection. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 86-90 - [c27]Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Junzhou Huang, Wei Yang, Xiao Han:
TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification. MICCAI (8) 2021: 186-195 - [c26]Hang Li, Fan Yang, Yu Zhao, Xiaohan Xing, Jun Zhang, Mingxuan Gao, Junzhou Huang, Liansheng Wang, Jianhua Yao:
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image. MICCAI (8) 2021: 206-216 - [c25]Hang Li, Fan Yang, Xiaohan Xing, Yu Zhao, Jun Zhang, Yueping Liu, Mengxue Han, Junzhou Huang, Liansheng Wang, Jianhua Yao:
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information. MICCAI (8) 2021: 529-539 - [i7]Sen Yang, Feng Luo, Jun Zhang, Xiyue Wang:
Sk-Unet Model with Fourier Domain for Mitosis Detection. CoRR abs/2109.00957 (2021) - 2020
- [j29]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) - [j28]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): 880-893 (2020) - [j27]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): 3381-3392 (2020) - [j26]Jun Zhang, Xiangyuan Xu, Zhifei Chen, Ming Bao, Xiao-Ping Zhang, Jianhua Yang:
High-Resolution DOA Estimation Algorithm for a Single Acoustic Vector Sensor at Low SNR. IEEE Trans. Signal Process. 68: 6142-6158 (2020) - [c24]Yu Zhao, Fan Yang, Yuqi Fang, Hailing Liu, Niyun Zhou, Jun Zhang, Jiarui Sun, Sen Yang, Bjoern H. Menze, Xinjuan Fan, Jianhua Yao:
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. CVPR 2020: 4836-4845 - [c23]Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun:
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians. ECCV (6) 2020: 647-663 - [c22]Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang:
GATCluster: Self-supervised Gaussian-Attention Network for Image Clustering. ECCV (25) 2020: 735-751 - [c21]Kuan Tian, Jun Zhang, Haocheng Shen, Kezhou Yan, Pei Dong, Jianhua Yao, Shannon Che, Pifu Luo, Xiao Han:
Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. MICCAI (5) 2020: 299-308 - [c20]Donglin Di, Shengrui Li, Jun Zhang, Yue Gao:
Ranking-Based Survival Prediction on Histopathological Whole-Slide Images. MICCAI (5) 2020: 428-438 - [c19]Haocheng Shen, Kuan Tian, Pei Dong, Jun Zhang, Kezhou Yan, Shannon Che, Jianhua Yao, Pifu Luo, Xiao Han:
Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. MICCAI (5) 2020: 509-518 - [i6]Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang:
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering. CoRR abs/2002.11863 (2020) - [i5]Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun:
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians. CoRR abs/2008.06963 (2020) - [i4]Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han:
Microscope Based HER2 Scoring System. CoRR abs/2009.06816 (2020) - 2019
- [j25]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: 85-90 (2019) - [j24]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) - [j23]Jun Zhang, Mingxia Liu, Yi Zhen:
Multimedia analysis for medical applications. Multim. Syst. 25(2): 71-72 (2019) - [j22]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): 1195-1206 (2019) - [j21]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): 435-447 (2019) - [c18]Peizhen Zhang, Feng Zheng, Junlong Du, Jun Zhang, Xiaowei Guo, Wei-Shi Zheng:
Particle Swarm Loss for Lightweight Object Detection. ICME 2019: 121-126 - 2018
- [j20]Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen:
Landmark-based deep multi-instance learning for brain disease diagnosis. Medical Image Anal. 43: 157-168 (2018) - [j19]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: 106-117 (2018) - [j18]Sicheng Zhao, Jun Zhang, Yi Zhen:
Guest Editorial: Large-scale 3D Multimedia Analysis and Applications. Multim. Tools Appl. 77(17): 22897-22900 (2018) - [j17]Liang Cao, Long Li, Jifeng Zheng, Xin Fan, Feng Yin, Hui Shen, Jun Zhang:
Multi-task neural networks for joint hippocampus segmentation and clinical score regression. Multim. Tools Appl. 77(22): 29669-29686 (2018) - [j16]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): 1900-1911 (2018) - [j15]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): 7133-7146 (2018) - [j14]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): 1476-1485 (2018) - [c17]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: 105750U - [c16]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: 105752V - [c15]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: 105752X - [c14]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: 105752W - [c13]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: 1057525 - [i3]Jun Zhang, Ashirbani Saha, Brian J. Soher, Maciej A. Mazurowski:
Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images. CoRR abs/1807.02152 (2018) - 2017
- [j13]Mingxia Liu, Jun Zhang, Xiaochun Guo, Liujuan Cao:
Hypergraph regularized sparse feature learning. Neurocomputing 237: 185-192 (2017) - [j12]Jun Zhang, Qian Wang, Zejun Hu, Mingxia Liu:
Auroral event representation based on the n-ary fusion of multiple oriented energies. Neurocomputing 253: 42-48 (2017) - [j11]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: 123-134 (2017) - [j10]Jun Zhang, Jimin Liang, Haihong Hu:
Multi-view texture classification using hierarchical synthetic images. Multim. Tools Appl. 76(16): 17511-17523 (2017) - [j9]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): 2803-2812 (2017) - [j8]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): 4753-4764 (2017) - [j7]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): 1607-1616 (2017) - [c12]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: 3-11 - [c11]Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen:
Efficient Groupwise Registration for Brain MRI by Fast Initialization. MLMI@MICCAI 2017: 150-158 - [c10]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: 300-308 - [c9]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: 720-728 - [i2]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 abs/1711.10577 (2017) - [i1]Zhe Zhu, Ehab Albadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski:
Deep Learning for identifying radiogenomic associations in breast cancer. CoRR abs/1711.11097 (2017) - 2016
- [j6]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): 1820-1829 (2016) - [j5]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): 2524-2533 (2016) - [c8]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 - [c7]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: 35-45 - [c6]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: 61-68 - [c5]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: 79-87 - [c4]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: 308-316 - [c3]Xiaofeng Zhu, Kim-Han Thung, Jun Zhang, Dinggang Shen:
Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis. MLMI@MICCAI 2016: 313-321 - 2015
- [j4]Jun Zhang, Jimin Liang, Chunhui Zhang, Heng Zhao:
Scale invariant texture representation based on frequency decomposition and gradient orientation. Pattern Recognit. Lett. 51: 57-62 (2015) - [j3]Chunhui Zhang, Jimin Liang, Jun Zhang, Heng Zhao:
A new shape prior model with rotation invariance. Pattern Recognit. Lett. 54: 82-88 (2015) - [c2]Zuoyong Li, Le An, Jun Zhang, Li Wang, James J. Xia, Dinggang Shen:
Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space. MLMI 2015: 69-76 - [c1]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: 661-668 - 2013
- [j2]Jun Zhang, Heng Zhao, Jimin Liang:
Continuous rotation invariant local descriptors for texton dictionary-based texture classification. Comput. Vis. Image Underst. 117(1): 56-75 (2013) - [j1]Jun Zhang, Jimin Liang, Heng Zhao:
Local Energy Pattern for Texture Classification Using Self-Adaptive Quantization Thresholds. IEEE Trans. Image Process. 22(1): 31-42 (2013)
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