Shijie Zhao

According to our database, Shijie Zhao authored at least 51 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

End-to-End Prediction of EGFR Mutation Status With Denseformer.

Shijie Zhao, Wenyuan Li, Zhuoyan Liu, Tianji Pang, Yang Yang, Ning Qiang, Jingyi Zhao, Bangguo Li, Baiying Lei, Junwei Han

IEEE J. Biomed. Health Informatics, January, 2024

2023

Self-Supervised Interactive Embedding for One-Shot Organ Segmentation.

Yang Yang, Bo Wang, Dingwen Zhang, Yixuan Yuan, Qingsen Yan, Shijie Zhao, Zheng You, Junwei Han

IEEE Trans. Biomed. Eng., October, 2023

Arousal modulates the amygdala-insula reciprocal connectivity during naturalistic emotional movie watching.

Liting Wang, Xintao Hu, Yudan Ren, Jinglei Lv, Shijie Zhao, Lei Guo, Tianming Liu, Junwei Han

NeuroImage, October, 2023

Functional brain network identification and fMRI augmentation using a VAE-GAN framework.

Ning Qiang, Jie Gao, Qinglin Dong, Huiji Yue, Hongtao Liang, Lili Liu, Jingjing Yu, Jing Hu, Shu Zhang, Bao Ge, Yifei Sun, Zhengliang Liu, Tianming Liu, Jin Li, Hujie Song, Shijie Zhao

Comput. Biol. Medicine, October, 2023

Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network.

Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, Sigang Yu, Zhengliang Liu, Shaochen Xu, Tianming Liu, Shijie Zhao

Neural Networks, August, 2023

Dynamic multi-site graph convolutional network for autism spectrum disorder identification.

Wei-Gang Cui, Junling Du, Mingyi Sun, Shimao Zhu, Shijie Zhao, Ziwen Peng, Li Tan, Yang Li

Comput. Biol. Medicine, May, 2023

A multi-task SCCA method for brain imaging genetics and its application in neurodegenerative diseases.

Xin Zhang, Yipeng Hao, Jin Zhang, Yanuo Ji, Shihong Zou, Shijie Zhao, Songyun Xie, Lei Du

Comput. Methods Programs Biomed., April, 2023

An explainable deep learning framework for characterizing and interpreting human brain states.

Shu Zhang, Junxin Wang, Sigang Yu, Ruoyang Wang, Junwei Han, Shijie Zhao, Tianming Liu, Jinglei Lv

Medical Image Anal., 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.

Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu

CoRR, 2023

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.

Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang

CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.

Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu

CoRR, 2023

2022

Functional Brain Networks Underlying Auditory Saliency During Naturalistic Listening Experience.

Liting Wang, Xintao Hu, Huan Liu, Shijie Zhao, Lei Guo, Junwei Han, Tianming Liu

IEEE Trans. Cogn. Dev. Syst., 2022

Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition.

Tianji Pang, Shijie Zhao, Junwei Han, Shu Zhang, Lei Guo, Tianming Liu

Medical Image Anal., 2022

Fully transformer network for skin lesion analysis.

Xinzi He, Ee-Leng Tan, Hanwen Bi, Xuzhe Zhang, Shijie Zhao, Baiying Lei

Medical Image Anal., 2022

Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention.

Yiheng Liu, Enjie Ge, Mengshen He, Zhengliang Liu, Shijie Zhao, Xintao Hu, Dajiang Zhu, Tianming Liu, Bao Ge

CoRR, 2022

Learning brain representation using recurrent Wasserstein generative adversarial net.

Ning Qiang, Qinglin Dong, Hongtao Liang, Jin Li, Shu Zhang, Cheng Zhang, Bao Ge, Yifei Sun, Jie Gao, Tianming Liu, Huiji Yue, Shijie Zhao

Comput. Methods Programs Biomed., 2022

Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network.

Shijie Zhao, Long Fang, Lin Wu, Yang Yang, Junwei Han

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network.

Tianji Pang, Dajiang Zhu, Tianming Liu, Junwei Han, Shijie Zhao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition.

Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, Tianming Liu, Dajiang Zhu

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2021

Eliminating Indefiniteness of Clinical Spectrum for Better Screening COVID-19.

Guangyu Guo, Zhuoyan Liu, Shijie Zhao, Lei Guo, Tianming Liu

IEEE J. Biomed. Health Informatics, 2021

Joint Funds of the National Natural Science Foundation of China: a review of information sciences between 2011 and 2020.

Zhilan Li, Jinglin Zhang, Shijie Zhao, Quan Liu, Yan Wang, Changrui Wang

Sci. China Inf. Sci., 2021

Hierarchical and Global Modality Interaction for Brain Tumor Segmentation.

Yang Yang, Shuhang Wei, Dingwen Zhang, Qingsen Yan, Shijie Zhao, Junwei Han

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs).

Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu

IEEE Trans. Cogn. Dev. Syst., 2020

Modeling Brain Diverse and Complex Hemodynamic Response Patterns via Deep Recurrent Autoencoder.

Yan Cui, Shijie Zhao, Yaowu Chen, Junwei Han, Lei Guo, Li Xie, Tianming Liu

IEEE Trans. Cogn. Dev. Syst., 2020

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning.

Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu

Brain Connect., 2020

Supervised Brain Network Learning Based on Deep Recurrent Neural Networks.

Shijie Zhao, Yan Cui, Linwei Huang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Shu Zhang, Tianming Liu, Jinglei Lv

IEEE Access, 2020

2019

Recognizing Brain States Using Deep Sparse Recurrent Neural Network.

Han Wang, Shijie Zhao, Qinglin Dong, Yan Cui, Yaowu Chen, Junwei Han, Li Xie, Tianming Liu

IEEE Trans. Medical Imaging, 2019

Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network.

Yan Cui, Shijie Zhao, Han Wang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, Tianming Liu

IEEE J. Biomed. Health Informatics, 2019

Training a Camera to Perform Long-Distance Eye Tracking by Another Eye-Tracker.

Wenyu Li, Qinglin Dong, Hao Jia, Shijie Zhao, Yongchen Wang, Li Xie, Qiang Pan, Feng Duan, Tianming Liu

IEEE Access, 2019

Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder.

Shijie Zhao, Yan Cui, Yaowu Chen, Xin Zhang, Wei Zhang, Huan Liu, Junwei Han, Lei Guo, Li Xie, Tianming Liu

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net.

Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Task Performance-guided Model of Functional Networks Identification.

Lin Zhao, Huan Liu, Xi Jiang, Shijie Zhao, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Modeling Task fMRI Data Via Deep Convolutional Autoencoder.

Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu

IEEE Trans. Medical Imaging, 2018

Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex.

Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu

IEEE Trans. Biomed. Eng., 2018

Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts.

Shijie Zhao, Junwei Han, Xi Jiang, Heng Huang, Huan Liu, Jinglei Lv, Lei Guo, Tianming Liu

Neuroinformatics, 2018

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN).

Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Identifying Brain Networks of Multiple Time Scales via Deep Recurrent Neural Network.

Yan Cui, Shijie Zhao, Han Wang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, Tianming Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Characterizing task-evoked and intrinsic functional networks from task-based fMRI data via two-stage sparse dictionary learning.

Huan Liu, Shijie Zhao, Xi Jiang, Shu Zhang, Xintao Hu, Lei Quo, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Modeling task fMRI data via mixture of deep expert networks.

Heng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Exploring intrinsic networks and their interactions using group wise temporal sparse coding.

Fangfei Ge, Jinglei Lv, Xintao Hu, Lei Guo, Junwei Han, Shijie Zhao, Tianming Liu

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Decoding dynamic auditory attention during naturalistic experience.

Liting Wang, Xintao Hu, Meng Wang, Jinglei Lv, Junwei Han, Shijie Zhao, Qinglin Dong, Lei Guo, Tianming Liu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Exploring Brain Networks via Structured Sparse Representation of fMRI Data.

Qinghua Zhao, Jianfeng Lu, Jinglei Lv, Xi Jiang, Shijie Zhao, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A Multi-stage Sparse Coding Framework to Explore the Effects of Prenatal Alcohol Exposure.

Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Shu Zhang, Mary Ellen Lynch, Claire Coles, Lei Guo, Xiaoping Hu, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI.

Jinglei Lv, Armin Iraji, Fangfei Ge, Shijie Zhao, Xintao Hu, Tuo Zhang, Junwei Han, Lei Guo, Zhifeng Kou, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Modeling Functional Dynamics of Cortical Gyri and Sulci.

Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Tianming Liu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation.

Shijie Zhao, Junwei Han, Xi Jiang, Xintao Hu, Jinglei Lv, Shu Zhang, Bao Ge, Lei Guo, Tianming Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

2015

Supervised Dictionary Learning for Inferring Concurrent Brain Networks.

Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Yu Zhao, Bao Ge, Lei Guo, Tianming Liu

IEEE Trans. Medical Imaging, 2015

Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function.

Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Shu Zhang, Shijie Zhao, Hanbo Chen, Tuo Zhang, Xintao Hu, Junwei Han, Jieping Ye, Lei Guo, Tianming Liu

IEEE Trans. Biomed. Eng., 2015

HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI).

Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu

Brain Informatics, 2015

Signal sampling for efficient sparse representation of resting state FMRI data.

Bao Ge, Jin Wang, Jinglei Lv, Shu Zhang, Shijie Zhao, Wei Zhang, Qinghua Zhao, Xiang Li, Xi Jiang, Junwei Han, Lei Guo, Tianming Liu

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Decoding Auditory Saliency from FMRI Brain Imaging.

Shijie Zhao, Xi Jiang, Junwei Han, Xintao Hu, Dajiang Zhu, Jinglei Lv, Tuo Zhang, Lei Guo, Tianming Liu

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014