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, JinmanPublished 2016-06-20Open AccessArticle -
Creating Graph Abstractions for the Interpretation of Combined Functional and Anatomical Medical Images
Kumar, Ashnil; Kim, Jinman; Fulham, Michael; Feng, DaganPublished 2014-09-17The 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 AccessConference paper -
Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks
Bi, Lei; Kim, Jinman; Ahn, Euijoon; Kumar, Ashnil; Fulham, Michael; Feng, DaganPublished 2017-06-07Open AccessArticle -
Efficient PET-CT image retrieval using graphs embedded into a vector space
Kumar, Ashnil; Kim, Jinman; Fulham, Michael; Feng, DaganPublished 2014-06-06Combined 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 AccessConference paper -
Efficient Visibility-driven Medical Image Visualisation via Adaptive Binned Visibility Histogram
Jung, Younhyun; Kim, Jinman; Kumar, Ashnil; Feng, Dagan; Fulham, MichaelPublished 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 AccessArticle -
An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification
Kumar, Ashnil; Kim, Jinman; Lyndon, David; Fulham, Michael; Feng, DaganPublished 2016-12-05Open AccessArticle -
A graph-based approach for the retrieval of multi-modality medical images
Kumar, AshnilPublished 2013-03-27Medical 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 AccessPhD Doctorate -
Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images
Ahn, Euijoon; Kim, Jinman; Bi, Lei; Kumar, Ashnil; Li, Changyang; Fulham, Michael; Feng, DaganPublished 2017-01-16Open AccessArticle -
Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation
Bi, Lei; Kim, Jinman; Kumar, Ashnil; Fulham, Michael; Feng, DaganPublished 2017-05-04The 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 AccessArticle -
Step-wise Integration of Deep Class-specific Learning for Dermoscopic Image Segmentation
Bi, Lei; Kim, Jinman; Ahn, Euijoon; Kumar, Ashnil; Feng, Dagan; Fulham, MichaelPublished 2018-01-01The 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 AccessArticle -
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, JinmanPublished 2018-12-07Open AccessArticle
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