Browsing by author "Kim, Jinman"
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ADAPTIVE BACKGROUND SEARCH AND FOREGROUND ESTIMATION FOR SALIENCY DETECTION VIA COMPREHENSIVE AUTOENCODER
Yan, Ke; Li, Changyang; Wang, Xiuying; Li, Ang; Yuan, Yuchen; Kim, Jinman; Feng, DaganPublished 2016-01-01Open AccessConference paper -
Automated thresholded region classification using a robust feature selection method for PET-CT
Bi, Lei; Kim, Jinman; Wen, Lingfeng; Feng, Dagan; Fulham, MichaelPublished 2015-07-23Fluorodeoxyglucose Positron Emission Tomography - Computed Tomography (FDG PET-CT) is the preferred imaging modality for staging the lymphomas. Sites of disease usually appear as foci of increased FDG uptake. Thresholding ...Open AccessConference paper -
Automatic Detection and Classification of Regions of FDG Uptake in Whole-Body PET-CT Lymphoma Studies
Bi, Lei; Kim, Jinman; Kuman, Ashnil; Wen, Lingfeng; Feng, Dagan; Fulham, MichaelPublished 2017-09-01Open AccessArticle -
Automatic left ventricular cavity segmentation via deep spatial sequential network in 4D computed tomography
Guo, Yuyu; Bi, Lei; Zhu, Zhengbin; Feng, Dagan David; Zhang, Ruiyan; Wang, Qian; Kim, JinmanPublished 2021Automated segmentation of left ventricular cavity (LVC) in temporal cardiac image sequences (consisting of multiple time-points) is a fundamental requirement for quantitative analysis of cardiac structural and functional ...Open AccessArticle -
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 -
Automatic Prostate Segmentation on MR Images with Deep Network and Graph Model
Ke, Yan; Li, Changyang; Wang, Xiuying; Li, Ang; Yuan, Yuchen; Feng, Dagan; Khadra, Mohamed; Kim, JinmanPublished 2016-01-01Open AccessConference paper -
Classification of thresholded regions based on selective use of PET, CT and PET-CT image features
Bi, Lei; Kim, Jinman; Feng, Dagan; Fulham, MichaelPublished 2014-11-06Fluorodeoxyglucose positron emission tomography - computed tomography (FDG PET-CT) is the preferred image modality for lymphoma diagnosis. Sites of disease generally appear as foci of increased FDG uptake. Thresholding ...Open AccessConference paper -
COMPREHENSIVE AUTOENCODER FOR PROSTATE RECOGNITION ON MR IMAGES
Yan, Ke; Li, Changyang; Wang, Xiuying; Yuan, Yuchen; Li, Ang; Kim, Jinman; Li, Biao; Feng, DaganPublished 2016-01-01Open AccessConference paper -
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis
Naseem, Usman; Razzak, Imran; Khushi, Matloob; Eklund, Peter W.; Kim, JinmanPublished 2021Social media (and the world at large) have been awash with news of the COVID-19 pandemic. With the passage of time, news and awareness about COVID-19 spread like the pandemic itself, with an explosion of messages, updates, ...Article -
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 -
DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations
Yuan, Yuchen; Shi, Yi; Li, Changyang; Kim, Jinman; Cai, Weidong; Han, Zeguang; Feng, DaganPublished 2016-12-23Open AccessArticle -
Dense and Sparse Labeling With Multidimensional Features for Saliency Detection
Yuan, Yuchen; Li, Changyang; Kim, Jinman; Cai, Weidong; Feng, DaganPublished 2016-12-30Open AccessArticle -
Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks
Bi, Lei; Kim, Jinman; Ahn, Euijoon; Kumar, Ashnil; Fulham, Michael; Feng, DaganPublished 2017-06-07Open AccessArticle -
Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image Segmentation
Bi, Lei; Feng, David Dagan; Kim, JinmanPublished 2018-01-01Segmentation of regions of interest (ROIs) in medical images is an important step for image analysis in computer-aided diagnosis systems. In recent years, segmentation methods based on fully convolutional networks (FCNs) ...Open AccessArticle -
Dual-stage deep learning framework for pigment epithelium detachment segmentation in polypoidal choroidal vasculopathy
Xu, Yupeng; Yan, Ke; Kim, Jinman; Wang, Xiuying; Li, Changyang; Su, Li; Yu, Suqin; Xu, Xun; Feng, DaganPublished 2017-08-10Open AccessArticle -
Efficient Body Motion Quantification and Similarity Evaluation Using 3-D Joints Skeleton Coordinates
Kamel, Aouaidjia; Sheng, Bin; Li, Ping; Kim, Jinman; Feng, DaganPublished 2019-01-01Open 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 -
Exploration of virtual and augmented reality for visual analytics and 3D volume rendering of functional magnetic resonance imaging (fMRI) data
de Ridder, Michael; Jung, Younhyun; Huang, Robin; Kim, JinmanPublished 2015-11-02Statistical analysis of functional magnetic resonance imaging (fMRI), such as independent components analysis, is providing new scientific and clinical insights into the data with capabilities such as characterising traits ...Open AccessConference paper
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