Now showing items 1-8 of 8

    • Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image 

      Liu, Siqi; Hadi, Nur; Liu, Sidong; Pujol, Sonia; Kikinis, Ron; Zhang, Fan; Feng, Dagan; Cai, Weidong (Springer, 2015-12-19)
      The content-based retrieval of diffusion magnetic resonance (dMR) imaging data would enable a wide range of analyses on large databases with dMR images.This paper proposes a content-based retrieval framework for dMR images ...
    • Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging 

      Liu, Sidong; Cai, Weidong; Pujol, Sonia; Kikinis, Ron; Feng, Dagan; ADNI (Frontiers Media, 2016-02-23)
      The research on staging of pre-symptomatic and prodromal phase of neurological disorders, e.g., Alzheimer's disease (AD), is essential for prevention of dementia. New strategies for AD staging with a focus on early detection, ...
    • Longitudinal brain MR retrieval with diffeomorphic demons registration: What happened to those patients with similar changes? 

      Liu, Siqi; Liu, Sidong; Zhang, Fan; Cai, Weidong; Pujol, Sonia; Kikinis, Ron; Feng, Dagan (IEEE, 2015-07-23)
      Current medical content-based retrieval (MCBR) systems for neuroimaging data mainly focus on retrieving the cross-sectional neuroimaging data with similar regional or global measurements. The longitudinal pathological ...
    • Multi-Phase Feature Representation Learning for Neurodegenerative Disease Diagnosis 

      Liu, Siqi; Liu, Sidong; Cai, Weidong; Pujol, Sonia; Kikinis, Ron; Feng, Dagan (Springer, 2015)
      Feature learning with high dimensional neuroimaging features has been explored for the applications on neurodegenerative diseases. Low-dimensional biomarkers, such as mental status test scores and cerebrospinal fluid level, ...
    • Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders 

      Liu, Sidong; Cai, Weidong; Liu, Siqi; Zhang, Fan; Fulham, Michael; Feng, Dagan; Pujol, Sonia; Kikinis, Ron (Springer Open, 2015-08-29)
      Multimodal neuroimaging is increasingly used in neuroscience research, as it overcomes the limitations of individual modalities. One of the most important applications of multimodal neuroimaging is the provision of vital ...
    • Multimodal neuroimaging computing: the workflows, methods, and platforms 

      Liu, Sidong; Cai, Weidong; Liu, Siqi; Zhang, Fan; Fulham, Michael; Feng, Dagan; Pujol, Sonia; Kikinis, Ron (Springer Open, 2015-09-04)
      The last two decades have witnessed the explosive growth in the development and use of noninvasive neuroimaging technologies that advance the research on human brain under normal and pathological conditions. Multimodal ...
    • Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease 

      Liu, Siqi; Liu, Sidong; Cai, Weidong; Che, Hangyu; Pujol, Sonia; Kikinis, Ron; Feng, Dagan; Fulham, Michael J; ADNI (IEEE, 2014-11-20)
      The accurate diagnosis of Alzheimer's disease (AD) is essential for patient care and will be increasingly important as disease modifying agents become available, early in the course of the disease. Although studies have ...
    • Subject-centered multi-view feature fusion for neuroimaging retrieval and classification 

      Liu, Sidong; Cai, Weidong; Liu, Siqi; Pujol, Sonia; Kikinis, Ron; Feng, Dagan (IEEE, 2015-12-10)
      Multi-View neuroimaging retrieval and classification play an important role in computer-aided-diagnosis of brain disorders, as multi-view features could provide more insights of the disease pathology and potentially lead ...