Search Results - "Chi, Yanling"

A review on the transport properties of ionic liquids by Wang, Xiaojing, Chi, Yanling, Mu, Tiancheng

“…Transport properties include the thermal conductivity for heat transfer, the viscosity for the momentum transfer, and the diffusion coefficient for mass…”
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A two-step deep learning method for 3DCT-2DUS kidney registration during breathing by Chi, Yanling, Xu, Yuyu, Liu, Huiying, Wu, Xiaoxiang, Liu, Zhiqiang, Mao, Jiawei, Xu, Guibin, Huang, Weimin

“…This work proposed KidneyRegNet, a novel deep registration pipeline for 3D CT and 2D U/S kidney scans of free breathing, which comprises a feature network, and…”
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Three-Dimensional Spatiotemporal Features for Fast Content-Based Retrieval of Focal Liver Lesions by Roy, Sharmili, Chi, Yanling, Liu, Jimin, Venkatesh, Sudhakar K., Brown, Michael S.

“…Content-based image retrieval systems for 3-D medical datasets still largely rely on 2-D image-based features extracted from a few representative slices of the…”
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Content-based image retrieval of multiphase CT images for focal liver lesion characterization by Chi, Yanling, Zhou, Jiayin, Venkatesh, Sudhakar K., Tian, Qi, Liu, Jimin

“…Purpose: Characterization of focal liver lesions with various imaging modalities can be very challenging in the clinical practice and is experience-dependent…”
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Part-Based Object Retrieval in Cluttered Environment by Yanling Chi, Leung, M.K.H.

“…A novel local structural approach, which is a sequel to our previous work, is proposed in this paper for object retrieval in a cluttered and occluded…”
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Modeling n-Furcated Liver vessels From a 3-D Segmented Volume Using Hole-Making and Subdivision Methods by Yuan, Feiniu, Chi, Yanling, Huang, Su, Liu, Jimin

“…It is difficult to build an accurate and smooth liver vessel model due to the tiny size, noise, and n-furcations of vessels. To overcome these problems, we…”
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Segmentation of Liver Vasculature From Contrast Enhanced CT Images Using Context-Based Voting by Chi, Yanling, Liu, Jimin, Venkatesh, Sudhakar K., Huang, Su, Zhou, Jiayin, Tian, Qi, Nowinski, Wieslaw L.

“…A novel vessel context-based voting is proposed for automatic liver vasculature segmentation in CT images. It is able to conduct full vessel segmentation and…”
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A general shape context framework for object identification by Chi, Yanling, Leung, Maylor K.H.

“…A general shape context framework is proposed for object/image retrieval in occluded and cluttered environment with hundreds of models as the potential matches…”
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Coronary Artery Segmentation by Deep Learning Neural Networks on Computed Tomographic Coronary Angiographic Images by Huang, Weimin, Huang, Lu, Lin, Zhiping, Huang, Su, Chi, Yanling, Zhou, Jiayin, Zhang, Junmei, Tan, Ru-San, Zhong, Liang

“…Coronary artery lumen delineation, to localize and grade stenosis, is an important but tedious and challenging task for coronary heart disease evaluation. Deep…”
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ALSBIR: A local-structure-based image retrieval by Chi, Yanling, Leung, Maylor K.H.

“…The general-purpose shape retrieval problem is a challenging task. Particularly, an ideal technique, which can work in clustered environment, meet the…”
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A Two-Step Deep Learning Method for 3DCT-2DUS Kidney Registration During Breathing by Yanling, Chi, Yuyu, Xu, Huiying, Liu, Xiaoxiang, Wu, Zhiqiang, Liu, Jiawei, Mao, Guibin, Xu, Weimin, Huang

“…This work proposed a novel deep registration pipeline for 3D CT and 2D U/S kidney scans of free breathing, which consists of a feature network, and a 3D-2D…”
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Fast segmentation and modeling of hepatic components for the planning of robot-assisted liver tumor ablation by Jiayin Zhou, Yanling Chi, Weimin Huang, Kyaw Kyar Toe, Chee Kong Chui, Chang, Stephen K. Y.

“…Segmentation and modeling of hepatic components from pre-operative images is very important for treatment planning and guidance in robot-assisted liver tumor…”
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Quantification of coronary artery Stenosis by Area Stenosis from cardiac CT angiography by Jiayin Zhou, Weimin Huang, Yanling Chi, Yuping Duan, Liang Zhong, Xiaodan Zhao, Junmei Zhang, Wei Xiong, Ru San Tan, Kyaw Kyar Toe

“…Non-invasive cardiac computed tomography angiography (CTA) is widely used to assess coronary artery stenosis and give clinical decision-making support to…”
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A new image retrieval model based on monogenic signal representation by Zeng, Zhiyong, Song, Liwei, Zheng, Qicai, Chi, Yanling

“…•The amplitude, orientation and phase of monogenic representation are complementary.•Central pixel code provide complementary information to the local…”
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Segmenting Kidney on Multiple Phase CT Images using ULBNet by Chi, Yanling, Xu, Yuyu, Feng, Gang, Mao, Jiawei, Wu, Sihua, Xu, Guibin, Huang, Weimin

“…Segmentation of kidney on CT images is critical to computer-assisted surgical planning for kidney interventional therapy. Segmenting kidney manually is…”
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Advanced analyses of computed tomography coronary angiography can help discriminate ischemic lesions by Zhang, Jun-Mei, Shuang, Dongsi, Baskaran, Lohendran, Wu, Weijun, Teo, Soo-Kng, Huang, Weimin, Gobeawan, Like, Allen, John Carson, Tan, Ru San, Su, Xi, Ismail, Nasrul Bin, Wan, Min, Su, Boyang, Zou, Hua, Low, Ris, Zhao, Xiaodan, Chi, Yanling, Zhou, Jiayin, Su, Yi, Lomarda, Aileen Mae, Chin, Chee Yang, Fam, Jiang Ming, Keng, Felix Yung Jih, Wong, Aaron Sung Lung, Tan, Jack Wei Chieh, Yeo, Khung Keong, Wong, Philip En Hou, Chin, Chee Tang, Ho, Kay Woon, Yap, Jonathan, Kassab, Ghassan S., Chua, Terrance, Koh, Tian Hai, Tan, Swee Yaw, Lim, Soo Teik, Zhong, Liang

“…Computed tomography coronary angiography (CTCA) image analysis enables plaque characterization and non-invasive fractional flow reserve (FFR) calculation. We…”
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Computer-aided focal liver lesion detection by Chi, Yanling, Zhou, Jiayin, Venkatesh, Sudhakar K., Huang, Su, Tian, Qi, Hennedige, Tiffany, Liu, Jimin

“…Purpose Our aim is to develop an automatic method which can detect diverse focal liver lesions (FLLs) in 3D CT volumes. Method    A hybrid…”
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End to End Unsupervised Rigid Medical Image Registration by Using Convolutional Neural Networks by Liu, Huiying, Chi, Yanling, Mao, Jiawei, Wu, Xiaoxiang, Liu, Zhiqiang, Xu, Yuyu, Xu, Guibin, Huang, Weimin

“…In this paper, we focus on the issue of rigid medical image registration using deep learning. Under ultrasound, the moving of some organs, e.g., liver and…”
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