Browsing by author "Pujol, Sonia"
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A Bag of Semantic Words Model for Medical Content-based Retrieval
Liu, Sidong; Cai, Weidong; Song, Yang; Pujol, Sonia; Kikinis, Ron; Feng, DaganPublished 2013-09-26Open AccessConference paper -
Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image
Liu, Siqi; Hadi, Nur; Liu, Sidong; Pujol, Sonia; Kikinis, Ron; Zhang, Fan; Feng, Dagan; Cai, WeidongPublished 2015-12-19The 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 ...Open AccessConference paper -
Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging
Liu, Sidong; Cai, Weidong; Pujol, Sonia; Kikinis, Ron; Feng, Dagan; ADNIPublished 2016-02-23The 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, ...Open AccessArticle -
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, DaganPublished 2015-07-23Current 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 ...Open AccessConference paper -
Multi-Phase Feature Representation Learning for Neurodegenerative Disease Diagnosis
Liu, Siqi; Liu, Sidong; Cai, Weidong; Pujol, Sonia; Kikinis, Ron; Feng, DaganPublished 2015-01-01Feature 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, ...Open AccessConference paper -
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, RonPublished 2015-08-29Multimodal 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 ...Open AccessArticle -
Multimodal neuroimaging computing: the workflows, methods, and platforms
Liu, Sidong; Cai, Weidong; Liu, Siqi; Zhang, Fan; Fulham, Michael; Feng, Dagan; Pujol, Sonia; Kikinis, RonPublished 2015-09-04The 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 ...Open AccessArticle -
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; ADNIPublished 2014-11-20The 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 ...Open AccessArticle -
Subject-centered multi-view feature fusion for neuroimaging retrieval and classification
Liu, Sidong; Cai, Weidong; Liu, Siqi; Pujol, Sonia; Kikinis, Ron; Feng, DaganPublished 2015-12-10Multi-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 ...Open AccessConference paper
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