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Browsing by author "Kumar, Ashnil"

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    • Automatic Measurement of Thalamic Diameter in 2-D Fetal Ultrasound Brain Images Using Shape Prior Constrained Regularized Level Sets 

      Sridar, Pradeeba; Kumar, Ashnil; Li, Changyang; Woo, Joyce; Quinton, Ann; Benzie, Ron; Peek, Michael; Feng, Dagan; Kumar, R. Krishna; Nanan, Ralph; Kim, Jinman
      Published 2016-06-20
      Open Access
      Article
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    • Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images 

      Kumar, Ashnil; Kim, Jinman; Fulham, Michael; Feng, Dagan
      Published 2014-09-17
      The characteristics of the images produced by advanced scanning technologies has led to medical imaging playing a critical role in modern healthcare. The most advanced medical scanners combine different modalities to produce ...
      Open Access
      Conference paper
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    • Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks 

      Bi, Lei; Kim, Jinman; Ahn, Euijoon; Kumar, Ashnil; Fulham, Michael; Feng, Dagan
      Published 2017-06-07
      Open Access
      Article
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    • Efficient PET-CT image retrieval using graphs embedded into a vector space 

      Kumar, Ashnil; Kim, Jinman; Fulham, Michael; Feng, Dagan
      Published 2014-06-06
      Combined positron emission tomography and computed tomography (PET-CT) produces functional data (from PET) in relation to anatomical context (from CT) and it has made a major contribution to improved cancer diagnosis, ...
      Open Access
      Conference paper
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    • Efficient Visibility-driven Medical Image Visualisation via Adaptive Binned Visibility Histogram 

      Jung, Younhyun; Kim, Jinman; Kumar, Ashnil; Feng, Dagan; Fulham, Michael
      Published 2016-01-01
      ‘Visibility’ is a fundamental optical property that represents the observable, by users, proportion of the voxels in a volume during interactive volume rendering. The manipulation of this ‘visibility’ improves the volume ...
      Open Access
      Article
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    • An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification 

      Kumar, Ashnil; Kim, Jinman; Lyndon, David; Fulham, Michael; Feng, Dagan
      Published 2016-12-05
      Open Access
      Article
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    • A graph-based approach for the retrieval of multi-modality medical images 

      Kumar, Ashnil
      Published 2013-03-27
      Medical imaging has revolutionised modern medicine and is now an integral aspect of diagnosis and patient monitoring. The development of new imaging devices for a wide variety of clinical cases has spurred an increase in ...
      Open Access
      Thesis
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    • Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images 

      Ahn, Euijoon; Kim, Jinman; Bi, Lei; Kumar, Ashnil; Li, Changyang; Fulham, Michael; Feng, Dagan
      Published 2017-01-16
      Open Access
      Article
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    • Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation 

      Bi, Lei; Kim, Jinman; Kumar, Ashnil; Fulham, Michael; Feng, Dagan
      Published 2017-05-04
      The automated segmentation of regions of interest (ROIs) in medical imaging is the fundamental requirement for the derivation of high-level semantics for image analysis in clinical decision support systems. Traditional ...
      Open Access
      Article
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    • Step-wise Integration of Deep Class-specific Learning for Dermoscopic Image Segmentation 

      Bi, Lei; Kim, Jinman; Ahn, Euijoon; Kumar, Ashnil; Feng, Dagan; Fulham, Michael
      Published 2018-01-01
      The segmentation of abnormal regions on dermoscopic images is an important step for automated computer aided diagnosis (CAD) of skin lesions. Recent methods based on fully convolutional networks (FCN) have been very ...
      Open Access
      Article
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    • Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns 

      Phan, Ha Tran Hong; Kumar, Ashnil; Feng, Dagan; Fulham, Michael; Kim, Jinman
      Published 2018-12-07
      Open Access
      Article
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