Browsing by author "Fulham, Michael"
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131I-Labeled Copper Sulfide-Loaded Microspheres to Treat Hepatic Tumors via Hepatic Artery Embolization
Liu, Qiufang; Qian, Yuyi; Li, Panli; Zhang, Sihang; Liu, Jianjun; Sun, Xiaoguang; Fulham, Michael; Feng, Dagan; Huang, Gang; Lu, Wei; Song, ShaoliPublished 2018-01-01Open AccessArticle -
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 segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation
Tareef, Afaf; Song, Yang; Cai, Weidong; Huang, Heng; Chang, Hang; Wang, Yue; Fulham, Michael; Feng, Dagan; Chen, MeiPublished 2016-10-25Automated segmentation of cells from cervical smears poses great challenge to biomedical image analysis because of the noisy and complex background, poor cytoplasmic contrast and the presence of fuzzy and overlapping cells. ...Open AccessArticle -
Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features
Zhang, Jianpeng; Xia, Yong; Xie, Yutong; Fulham, Michael; Feng, DaganPublished 2017-11-20Open AccessArticle -
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 -
Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation
Liu, Sidong; Song, Yang; Zhang, Fan; Feng, Dagan; Fulham, Michael; Cai, WeidongPublished 2016-09-23Brain 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 AccessConference paper -
A Combinatorial Bayesian and Dirichlet Model for Prostate MR Image Segmentation Using Probabilistic Image Features
Li, Ang; Li, Changyang; Wang, Xiuying; Eberl, Stefan; Feng, Dagan; Fulham, MichaelPublished 2016-07-27Blurred boundaries and heterogeneous intensities make accurate prostate MR image segmentation problematic. To improve prostate MR image segmentation we suggest an approach that includes: (a) an image patch division method ...Open AccessArticle -
The combined therapeutic effects of 131iodine-labeled multifunctional copper sulfide-loaded microspheres in treating breast cancer
Liu, Qiufang; Qian, Yuyi; Li, Panli; Zhang, Sihang; Wang, Zerong; Liu, Jianjun; Sun, Xiaoguang; Fulham, Michael; Feng, Dagan; Chen, Zhigang; Song, Shaoli; Lu, Wei; Huang, GangPublished 2018-04-07Open 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 -
Cross-cohort dementia identification using transfer learning with FDG-PET imaging
Lu, Shen; Xia, Yong; Cai, Weidong; Feng, Dagan; Fulham, MichaelPublished 2018Machine 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 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 -
Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging
Lu, Shen; Xia, Yong; Cai, Weidong; Fulham, Michael; Feng, Dagan; ADNIPublished 2017-02-07Alzheimer’s disease (AD) is the most common type of dementia and will be an increasing health problem in society as the population ages. Mild cognitive impairment (MCI) is considered to be a prodromal stage of AD. The ...Open 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 -
Improving Skin Lesion Segmentation via Stacked Adversarial Learning
Bi, Lei; Feng, Dagan; Fulham, Michael; Kim, JinmanPublished 2019-01-01Segmentation of skin lesions is an essential step in computer aided diagnosis (CAD) for the automated melanoma diagnosis. Recently, segmentation methods based on fully convolutional networks (FCNs) have achieved great ...Open AccessConference paper -
Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT
Xie, Yutong; Xia, Yong; Zhang, Jianpeng; Song, Yang; Feng, Dagan; Fulham, Michael; Cai, WeidongPublished 2018-10-17Open AccessArticle -
Large Margin Local Estimate With Applications to Medical Image Classification
Song, Yang; Cai, Weidong; Huang, Heng; Zhou, Yun; Feng, Dagan; Wang, Yue; Fulham, Michael; Chen, MeiPublished 2015-01-19Open AccessArticle -
Multi-Label Classification of Multi-Modality Skin Lesion via Hyper-Connected Convolutional Neural Network
Bi, Lei; Feng, David Dagan; Fulham, Michael; Kim, JinmanPublished 2020-01-01Objective: Clinical and dermoscopy images (multi-modality image pairs) are routinely used sequentially in the assessment of skin lesions. Clinical images characterize a lesion’s geometry and color; dermoscopy depicts ...Open AccessArticle
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