Browsing by author "Liu, Sidong"
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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 -
Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation
Liu, Sidong; Song, Yang; Zhang, Fan; Feng, Dagan; Fulham, Michael; Cai, WeidongPublished 2016-09-23Brain tumors vary considerably in size, morphology, and location across patients, thus pose great challenge in automated brain tumor segmentation methods. Inspired by the concept of clique in graph theory, we present a ...Open 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 -
Feature learning with component selective encoding for histopathology image classification
Song, Yang; Chang, Hang; Gao, Yang; Liu, Sidong; Yao, Junen; Cai, WeidongPublished 2018-05-24Open AccessConference paper -
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 Analysis for Neurodegeneration Characterization
Liu, SidongPublished 2015-06-30Neurodegenerative disorders will be a global burden over the coming decades due to the increasing age of societies. The accurate characterization of neurodegenerative disorders is important for patient care and treatment ...USyd AccessPhD Doctorate -
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 -
Reconstruction of 3D neuron morphology using Rivulet back-tracking
Zhang, Donghao; Liu, Siqi; Liu, Sidong; Feng, Dagan; Peng, Hanchuan; Cai, WeidongPublished 2016-06-16The 3D reconstruction of neuronal morphology is a powerful technique for investigating nervous systems. Due to the noises in optical microscopic images, the automated reconstruction of neuronal morphology has been a ...Open AccessConference paper -
Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking
Liu, Siqi; Zhang, Donghao; Liu, Sidong; Feng, Dagan; Peng, Hanchuan; Cai, WeidongPublished 2016-10-01The digital reconstruction of single neurons from 3D confocal microscopic images is an important tool for understanding the neuron morphology and function. However the accurate automatic neuron reconstruction remains a ...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 -
Whole Slide Image Classification via Iterative Patch Labelling
Zhang, Chaoyi; Song, Yang; Zhang, Donghao; Liu, Sidong; Chen, Mei; Cai, WeidongPublished 2018-09-06Open AccessConference paper
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