The measurability analysis of abnormality detection based on DOT method using stack auto-encoding neural network model
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Huiquan Wang | Xinming Dong | Jinhai Wang | Guang Han | Zhe Zhao | Yutong Wang | Ximing Li
[1] Tapan Das,et al. Greedy algorithms for diffuse optical tomography reconstruction , 2018 .
[2] Stefan Haufe,et al. Optimizing the regularization for image reconstruction of cerebral diffuse optical tomography , 2014, Journal of biomedical optics.
[3] Jonas Adler,et al. Solving ill-posed inverse problems using iterative deep neural networks , 2017, ArXiv.
[4] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[5] Seong-Whan Lee,et al. Latent feature representation with stacked auto-encoder for AD/MCI diagnosis , 2013, Brain Structure and Function.
[6] Yu An,et al. Non-model-based bioluminescence tomography using a machine-learning reconstruction strategy , 2018 .
[7] Mahlega S. Hassanpour,et al. Mapping distributed brain function and networks with diffuse optical tomography , 2014, Nature Photonics.
[8] Jari P. Kaipio,et al. Approximate Marginalization of Absorption and Scattering in Fluorescence Diffuse Optical Tomography , 2015 .
[9] Tao Zhang,et al. Fast noninvasive functional diffuse optical tomography for brain imaging , 2018, Journal of biophotonics.
[10] Jinhai Wang,et al. The study on fast localization method of anomaly block in brain based on differential optical density , 2018, BiOS.
[11] Mrwan Alayed,et al. Time-resolved diffuse optical tomography system using an accelerated inverse problem solver. , 2018, Optics express.
[12] Huiquan Wang,et al. Fast localization method of an anomaly in tissue based on differential optical density. , 2018, Biomedical optics express.