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  1. Research

    Recognition of early-onset schizophrenia using deep-learning method

    Functional connectivity at resting state was found altered in early-onset schizophrenia patients. However, its potential as biomarker of clinical diagnosis is unknown. To test whether resting-state functional ...

    Shaoqiang Han, Wei Huang, Yan Zhang, Jingping Zhao and Huafu Chen

    Applied Informatics 2017 4:16

    Published on: 6 December 2017

  2. Research

    Disrupted architecture of large-scale brain functional connectivity networks in patients with generalized tonic–clonic seizure

    Generalized tonic–clonic seizure (GTCS) is characterized by the abnormal functional organization among distant brain regions. Previous studies in GTCS that have comprehensively examined connectivity abnormalit...

    Rong Li, Yangyang Yu, Wei Liao, Zhiqiang Zhang, Guangming Lu and Huafu Chen

    Applied Informatics 2017 4:15

    Published on: 29 November 2017

  3. Research

    Multiscale recurrent regression networks for face alignment

    In this paper, we propose an end-to-end multiscale recurrent regression networks (MSRRN) approach for face alignment. Unlike conventional face alignment methods by utilizing handcrafted features which require ...

    Caixun Wang, Haomiao Sun, Jiwen Lu, Jianjiang Feng and Jie Zhou

    Applied Informatics 2017 4:13

    Published on: 2 November 2017

  4. Research

    Learning scene-aware image priors with high-order Markov random fields

    Many methods have been proposed to learn image priors from natural images for the ill-posed image restoration tasks. However, many prior learning algorithms assume that a general prior distribution is suitable...

    Dong Gong, Yanning Zhang, Qingsen Yan and Haisen Li

    Applied Informatics 2017 4:12

    Published on: 30 October 2017

  5. Research

    Cross-media residual correlation learning

    Due to the progress of deep neural networks (DNN), DNN has been employed to cross-media retrieval. Existing cross-media retrieval methods based on DNN can convert separate representation of each media type to ...

    Mingkuan Yuan, Xin Huang and Yuxin Peng

    Applied Informatics 2017 4:9

    Published on: 5 October 2017

  6. Research

    Community detection based on influence power

    Nowadays, more and more people use social network to share their lives and communicate with each other. In real social network, a person is influenced by others and also influences others at the same time. So ...

    Wei Shi, Chang-Dong Wang and Jian-Huang Lai

    Applied Informatics 2017 4:8

    Published on: 5 October 2017

  7. Research

    Logistic regression analysis differentiates high from low computer users by facial skin conditions in a population of Chinese women

    In the past few decades, video display terminals (VDTs) and computer use have been associated with various skin symptoms in several published reports. In addition, internet beauty sites report that extended co...

    Mary S. Matsui, Jomer Dela Cruz, Jiawen Tang, Bin Wei Deng, Xiaoyuan Xie and Guan Lei

    Applied Informatics 2017 4:4

    Published on: 7 January 2017

  8. Research

    A novel framework for 3D shape retrieval

    The ability to accurately and effectively search for 3D shape is crucial for many applications. In this study, we proposed a novel framework for 3D shape retrieval. We compensate the loss of high frequencies o...

    Ye Jin, ZhiXun Li, YingTao Zhang and XiangLong Tang

    Applied Informatics 2017 4:3

    Published on: 6 January 2017

  9. Research

    Impact of order set use on outcome of patients with sepsis

    In an effort to improve outcome of patients with sepsis, we developed and implemented a disease-specific alert and order set for our computerized physician order entry system. This alert and order set were imp...

    Robert C. Goldszer, Kenneth Ratzan, Marc Csete, Nancy Nanes, Charity Love, Luigi X. Cubeddu, David Farcy, Ameena Shrestha and Tom Gillette

    Applied Informatics 2017 4:2

    Published on: 5 January 2017

  10. Research

    An adaptive random compressive partial sampling method with TV recovery

    Different from standard sampling strategy in compressive sensing (CS), we present a compressive partial sampling framework called adaptive-random sampling and recovery (ASR) for image. It could faithfully reco...

    Jun Yang, Wei E. I. Sha, Hongyang Chao and Zhu Jin

    Applied Informatics 2016 3:12

    Published on: 28 December 2016

  11. Research

    Altered effective connectivity network of the thalamus in post-traumatic stress disorder: a resting-state FMRI study with granger causality method

    Post-traumatic stress disorder (PTSD) is an anxiety disorder that can develop following a traumatic event. Previous studies have found abnormal functional connectivity between the thalamus and other brain regi...

    Youxue Zhang, Heng Chen, Zhiliang Long, Qian Cui and Huafu Chen

    Applied Informatics 2016 3:8

    Published on: 15 November 2016

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