• Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation 

      Liu, Sidong; Song, Yang; Zhang, Fan; Feng, Dagan; Fulham, Michael; Cai, Weidong
      Published 2016-09-23
      Brain 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 Access
      Conference paper
    • Prostate segmentation in MR images using ensemble deep convolutional neural networks 

      Jia, Haozhe; Xia, Yong; Cai, Weidong; Fulham, Michael; Feng, Dagan
      Published 2017-06-19
      The automated segmentation of the prostate gland from MR images is increasingly used for clinical diagnosis. Since deep learning demonstrates superior performance in computer vision applications, we propose a coarse-to-fine ...
      Open Access
      Conference paper
    • Subject-centered multi-view feature fusion for neuroimaging retrieval and classification 

      Liu, Sidong; Cai, Weidong; Liu, Siqi; Pujol, Sonia; Kikinis, Ron; Feng, Dagan
      Published 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 ...
      Open Access
      Conference paper
    • Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking 

      Liu, Siqi; Zhang, Donghao; Liu, Sidong; Feng, Dagan; Peng, Hanchuan; Cai, Weidong
      Published 2016-10-01
      The 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 Access
      Article
    • 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
      Published 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 ...
      Open Access
      Article