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Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features 期刊论文
SCHIZOPHRENIA BULLETIN, 2024, 页码: 19
作者:  Gao, Jingjing;  Qian, Maomin;  Wang, Zhengning;  Li, Yanling;  Luo, Na;  Xie, Sangma;  Shi, Weiyang;  Li, Peng;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Liu, Wenming;  Li, Zhigang;  Yang, Yongfeng;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Lu, Lin;  Yan, Jun;  Song, Yuqing;  Wang, Huiling;  Zhang, Hongxing;  Wu, Huawang;  Ning, Yuping;  Du, Yuhui;  Cheng, Yuqi;  Xu, Jian;  Xu, Xiufeng;  Zhang, Dai;  Jiang, Tianzai
收藏  |  浏览/下载：6/0  |  提交时间：2024/07/03
schizophrenia identification  multimodal MRI  deep graph neural networks  image marker  gene analysis  
Artificial intelligence for automatic surgical phase recognition of laparoscopic gastrectomy in gastric cancer 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2023, 页码: 9
作者:  Zhai, Yuhao;  Chen, Zhen;  Zheng, Zhi;  Wang, Xi;  Yan, Xiaosheng;  Liu, Xiaoye;  Yin, Jie;  Wang, Jinqiao;  Zhang, Jun
收藏  |  浏览/下载：117/0  |  提交时间：2023/12/21
Artificial intelligence  Gastric cancer  Surgical phase  
Computational knowledge vision: paradigmatic knowledge based prescriptive learning and reasoning for perception and vision 期刊论文
ARTIFICIAL INTELLIGENCE REVIEW, 2022, 页码: 36
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：206/0  |  提交时间：2022/06/06
Computer vision  Knowledge engineering  Deep learning  Graph learning  Meta-learning  Transformer  Artificial intelligence (AI)  
Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition 期刊论文
INFORMATION FUSION, 2022, 卷号: 80, 页码: 1-22
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：279/0  |  提交时间：2022/01/27
Meta-learning  Internet of Things  Graph model  Attention mechanisms  
Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma 期刊论文
JOURNAL OF HEPATOCELLULAR CARCINOMA, 2021, 卷号: 8, 页码: 1065-1076
作者:  Fu, Sirui;  Pan, Meiqing;  Zhang, Jie;  Zhang, Hui;  Tang, Zhenchao;  Li, Yong;  Mu, Wei;  Huang, Jianwen;  Dong, Di;  Duan, Chongyang;  Li, Xiaoqun;  Wang, Shuo;  Chen, Xudong;  He, Xiaofeng;  Yan, Jianfeng;  Lu, Ligong;  Tian, Jie
收藏  |  浏览/下载：275/0  |  提交时间：2021/11/03
aggressive disease progression  deep learning radiomics  clinical factors  high-risk  risk prediction  
Pay attention to doctor & ndash;patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis 期刊论文
INFORMATION FUSION, 2021, 卷号: 75, 页码: 168-185
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Zhang, Zhi-Cheng;  Zhang, Jun Jason;  Hu, Ming;  Wang, Fei-Yue
收藏  |  浏览/下载：279/0  |  提交时间：2021/11/02
COVID-19 diagnose  Knowledge attention mechanism  Knowledge-based representation learning  Knowledge embedding  
Learning to learn by yourself: Unsupervised meta-learning with self-knowledge distillation for COVID-19 diagnosis from pneumonia cases 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 页码: 32
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Zhang, Zhi-Cheng;  Zhang, Jun J.;  Hu, Ming;  Wang, Fei-Yue
收藏  |  浏览/下载：259/0  |  提交时间：2021/06/15
biomedical imaging  COVID‐  19  knowledge distillation  meta‐  learning  unsupervised learning  
A loss-balanced multi-task model for simultaneous detection and segmentation 期刊论文
NEUROCOMPUTING, 2021, 卷号: 428, 页码: 65-78
作者:  Zhang, Wenwen;  Wang, Kunfeng;  Wang, Yutong;  Yan, Lan;  Wang, Fei-Yue
收藏  |  浏览/下载：275/0  |  提交时间：2021/03/15
Object detection  Semantic segmentation  Multi-task learning  Scene understanding  
Fighting fire with fire: A spatial-frequency ensemble relation network with generative adversarial learning for adversarial image classification 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 页码: 41
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：265/0  |  提交时间：2021/03/08
adversarial examples  ensemble learning  generative adversarial learning  image classification  meta-learning  
Learn with diversity and from harder samples: Improving the generalization of CNN-Based detection of computer-generated images 期刊论文
FORENSIC SCIENCE INTERNATIONAL-DIGITAL INVESTIGATION, 2020, 卷号: 35, 页码: 12
作者:  Quan, Weize;  Wang, Kai;  Yan, Dong-Ming;  Zhang, Xiaopeng;  Pellerin, Denis
收藏  |  浏览/下载：253/0  |  提交时间：2021/03/08
Image forensics  Computer-generated image  Convolutional neural network  Generalization  Negative samples