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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical861.html#TT164913"}

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        TITLE = "A Feasibility Study of Extracting Tissue Textures From a Previous
Full-Dose CT Database as Prior Knowledge for Bayesian Reconstruction
of Current Low-Dose CT Images",
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MRI Calibrated With Histological Data: an Example From Lung Cancer",
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@article{bb169458,
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@article{bb169459,
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using topology-based phylogenetic diversity index and convolutional
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@article{bb169460,
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distance-constrained energy",
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@article{bb169461,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical861.html#TT164925"}

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@article{bb169464,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical861.html#TT164927"}

@article{bb169465,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical861.html#TT164928"}

@inproceedings{bb169466,
        AUTHOR = "Zhou, B. and Chen, A. and Crawford, R. and Dogdas, B. and Goldmarcher, G.",
        TITLE = "A Progressively-Trained Scale-Invariant and Boundary-Aware Deep
Neural Network for the Automatic 3D Segmentation of Lung Lesions",
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        YEAR = "2019",
        PAGES = "1-10",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical861.html#TT164929"}

@article{bb169467,
        AUTHOR = "Eppenhof, K.A.J. and Pluim, J.P.W.",
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Convolutional Neural Networks",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical861.html#TT164930"}

@article{bb169468,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical861.html#TT164931"}

@article{bb169469,
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        MONTH = "July",
        PAGES = "1736-1749",
        BIBSOURCE = "http://www.visionbib.com/bibliography/medical861.html#TT164933"}

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        NUMBER = "8",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical861.html#TT164934"}

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convolutional neural network",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical861.html#TT164935"}

@article{bb169473,
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        BIBSOURCE = "http://www.visionbib.com/bibliography/medical861.html#TT164936"}

@article{bb169474,
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@inproceedings{bb169477,
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@inproceedings{bb169478,
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@inproceedings{bb169479,
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@inproceedings{bb169480,
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@inproceedings{bb169484,
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@inproceedings{bb169488,
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@inproceedings{bb169489,
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@inproceedings{bb169492,
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@inproceedings{bb169493,
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@article{bb169494,
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@inproceedings{bb169495,
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@inproceedings{bb169496,
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@inproceedings{bb169497,
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@inproceedings{bb169498,
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@inproceedings{bb169499,
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Last update:Oct 1, 2019 at 15:23:24