Browsing by author "Yuan, Yuchen"
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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 -
Advanced Visual Computing for Image Saliency Detection
Yuan, YuchenPublished 2017-04-07Saliency detection is a category of computer vision algorithms that aims to filter out the most salient object in a given image. Existing saliency detection methods can generally be categorized as bottom-up methods and ...Open AccessThesis -
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 -
Cancer type prediction based on copy number aberration and chromatin 3D structure with convolutional neural networks
Yuan, Yuchen; Shi, Yi; Su, Xianbin; Zou, Xin; Luo, Qing; Feng, Dagan; Cai, Weidong; Han, Ze-GuangPublished 2018-08-13Open AccessArticle -
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 -
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 -
Reversion Correction and Regularized Random Walk Ranking for Saliency Detection
Yuan, Yuchen; Li, Changyang; Kim, Jinman; Cai, Weidong; Feng, DaganPublished 2017-10-12Open AccessArticle -
Robust saliency detection via regularized random walks ranking
Li, Changyang; Yuan, Yuchen; Cai, Weidong; Xia, Yong; Feng, DaganPublished 2015-10-15In the field of saliency detection, many graph-based algorithms heavily depend on the accuracy of the pre-processed superpixel segmentation, which leads to significant sacrifice of detail information from the input image. ...Open AccessConference paper
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