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在“Elsevier电子期刊”中，命中：8,945条，耗时：0.0619694 秒

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1.Image-based object reconstruction using run-length representation

作者：Sung Soo Hwang¹ ; ^{sshwang@handong.edu} ; Hee-Dong Kim ^{khdong98@kaist.ac.kr} ; Tae Young Jang ^{tyjang1020@kaist.ac.kr} ; Jisung Yoo ^{yjs1018@kaist.ac.kr} ; Sujung Kim² ; ^{sujung.susanna.kim@naver.corp.com} ; Kyunghyun Paeng ^{paeng87@kaist.ac.kr} ; Seong Dae Kim ; ^{sdkim@kaist.ac.kr}

关键词：3D object reconstruction ; Multi-view images ; Run-length representation ; Visual hull computation ; Mesh generation ; Texture mapping

刊名：Signal Processing: Image Communication

出版年：2017

2.Image quality of ct angiography using model-based iterative reconstruction in infants with congenital heart disease: Comparison with filtered back projection and hybrid iterative reconstruction

作者：Qianjun Jia ; MD^a ; ^b ; ^c ; ^{jiaqianjun@126.com} ; Jian Zhuang ; MD ; PHD^d ; ^{zhuangjian5413@tom.com} ; Jun Jiang ; MD^e ; ^{81711587@qq.com} ; Jiahua Li ; MD^c ; ^{970872804@qq.com} ; Meiping Huang ; MD^c ; ^a ; ^{huangmeiping_vip@163.com} ; Changhong Liang ; MD ; PHD^b ; ^a ; ^{cjr.lchh@vip.163.com}

关键词：CHD ; congenital heart disease ; FBP ; filtered back projection ; IR ; iterative reconstruction ; HIR ; hybrid iterative reconstruction ; IMR ; iterative model reconstruction ; SNR ; signal-to-noise ratio ; CNR ; contrast-to-noise ratio ; CCA ; conventional cardiac angiography ; ROI ; region of interest

刊名：European Journal of Radiology

出版年：2017

3.Tomographic image reconstruction via estimation of sparse unidirectional gradients

作者：Adam G. Polak ; Janusz Mroczka ; Dariusz Wysoczański ; ^{dariusz.wysoczanski@pwr.edu.pl}

关键词：Computed tomography ; Image reconstruction ; Estimation of gradients ; Sparse solution ; Iterative reweighting

刊名：Computers in Biology and Medicine

出版年：2017

4.Iterative projection reconstruction for fast and efficient image upsampling

作者：Yang Zhao^a ; ^bAuthor Vitae ; Rong-Gang Wang^a ; ^{rgwang@pkusz.edu.cn}Author Vitae ; Wei Jia^bAuthor Vitae ; Wen-Min Wang^aAuthor Vitae ; Wen Gao^aAuthor Vitae

关键词：Upsampling ; Single-image super-resolution ; Projection reconstruction

刊名：Neurocomputing

出版年：2017

5.Localization and spectral isolation of special nuclear material using stochastic image reconstruction

作者：M.C. Hamel ; ^{mchamel@umich.edu" class="auth_mail" title="E-mail the corresponding author} ; J.K. Polack ^{kpolack@umich.edu" class="auth_mail" title="E-mail the corresponding author} ; A. Poitrasson-Riviè ; re ^{alexispr@umich.edu" class="auth_mail" title="E-mail the corresponding author} ; S.D. Clarke ^{clarkesd@umich.edu" class="auth_mail" title="E-mail the corresponding author} ; S.A. Pozzi ^{pozzisa@umich.edu" class="auth_mail" title="E-mail the corresponding author}

关键词：Radiation imaging ; Stochastic image reconstruction ; Compton imaging ; Neutron imaging ; Neutron spectroscopy ; Gamma-ray spectroscopy

刊名：Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

出版年：2017

6.Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks

作者：Xipeng Pan^aAuthor Vitae ; Lingqiao Li^a ; ^bAuthor Vitae ; Huihua Yang^a ; ^b ; ^{yhh@bupt.edu.cn}Author Vitae ; Zhenbing Liu^bAuthor Vitae ; Jinxin Yang^aAuthor Vitae ; Lingling Zhao^bAuthor Vitae ; Yongxian Fan^bAuthor Vitae

关键词：Nuclei segmentation ; Deep convolutional networks ; Histopathological images ; Sparse reconstruction

刊名：Neurocomputing

出版年：2017

7.A tomographical reconstruction method from unknown direction projections for 2D gray-level images

作者：Bassem Ben Cheikh^a ; É ; tienne Baudrier ; ^b ; ^{baudrier@unistra.fr} ; Gabriel Frey^b

关键词：Tomography ; Ab initio reconstruction ; Unoriented projections ; 2D ; Cryo-electron microscopy ; Gray-level image

刊名：Pattern Recognition Letters

出版年：2017

8.Structure assisted compressed sensing reconstruction of undersampled AFM images

作者：Christian Schou Oxvig ; ^{cso@es.aau.dk} ; Thomas Arildsen ^{tha@es.aau.dk} ; Torben Larsen ^tl@es.aau.dk

关键词：Atomic force microscopy ; Compressed sensing ; Compressive sampling ; Undersampling ; Image reconstruction ; Sparsity modelling

刊名：Ultramicroscopy

出版年：2017

9.Dependent nonparametric bayesian group dictionary learning for online reconstruction of dynamic MR images

作者：Dornoosh Zonoobi^bAuthor Vitae ; Shahrooz F. Roohi^a ; ^{shahrooz.faghihroohi@gmail.com}Author Vitae ; Ashraf A. Kassim^a ; ^{ashraf@nus.edu.sg}Author Vitae ; Jacob L. Jaremko^bAuthor Vitae

关键词：Dynamic 3D MRI ; Image reconstruction ; Dictionary learning ; Compressive sensing

刊名：Pattern Recognition

出版年：2017

10.Intelligent nonconvex compressive sensing using prior information for image reconstruction by sparse representation

作者：Qiang Wang ^{wangqiang@hit.edu.cn}Author Vitae ; Dan Li ; ^{lidanhit@163.com}Author Vitae ; Yi Shen ^{shen@hit.edu.cn}Author Vitae

关键词：Image reconstruction ; Sparse representation ; Nonconvex l0 minimization ; Intelligent optimization ; Prior information

刊名：Neurocomputing

出版年：2017

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