• Topology-guided deformable registration with local importance preservation for biomedical images 

      Zheng, Chaojie; Wang, Xiuying; Zeng, Shan; Zhou, Jianlong; Yin, Yong; Feng, Dagan; Fulham, Michael
      Published 2018
      The demons registration (DR) model is well recognized for its deformation capability. However, it might lead to misregistration due to erroneous diffusion direction when there are no overlaps between corresponding regions. ...
      Open Access
      Article
    • A New Aggregation of DNN Sparse and Dense Labeling for Saliency Detection 

      Yan, Ke; Wang, Xiuying; Kim, Jinman; Feng, Dagan
      Published 2021
      As a fundamental requirement to many computer vision systems, saliency detection has experienced substantial progress in recent years based on deep neural networks (DNNs). Most DNN-based methods rely on either sparse or ...
      Open Access
      Article
    • Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network 

      Zhang, Boyan; Wang, Zhiyong; Gao, Junbin; Rutjes, Chantal; Nufer, Kaitlin; Tao, Dacheng; Feng, David Dagan; Menzies, Scott
      Published 2021
      Short-term monitoring of lesion changes has been a widely accepted clinical guideline for melanoma screening. When there is a significant change of a melanocytic lesion at three months, the lesion will be excised to exclude ...
      Article
    • Automated Analysis of Chest Radiographs for Cystic Fibrosis Scoring 

      Huang, Zhaowei; Ding, Chen; Zhang, Lei; Lee, Min-Zhao; Song, Yang; Selvadural, Hiran; Feng, Dagan; Zhang, Yanning; Cai, Weidong
      Published 2018
      We present a framework to analyze chest radiographs for cystic fibro-sis using machine learning methods. We compare the representational power of deep learning features with traditional texture features. Specifically, we ...
      Open Access
      Conference paper
    • Cross-cohort dementia identification using transfer learning with FDG-PET imaging 

      Lu, Shen; Xia, Yong; Cai, Weidong; Feng, Dagan; Fulham, Michael
      Published 2018
      Machine learning techniques have been extensively adapted to dementia identification with PET imaging in the last decade. Despite the promising results reported by these studies, the accurately labeled PET brain scans used ...
      Open Access
      Conference paper